All Datastage Faqs And Tutorials

DATASTAGE FAQ’s & TUTORIAL’s

INDEX 1. DATASTAGE QUESTIONS ........................................................................... 2 2. DATASTAGE FAQ ........................................................................................ 13 3. TOP 10 FEATURES IN DATASTAGE HAWK ......................................... 29 4. DATASTAGE NOTES ................................................................................... 31 5. DATASTAGE TUTORIAL ........................................................................... 42 6. LEARN FEATURES OF DATASTAGE...................................................... 48 7. PERFORMANCE TUNING IN PARALLEL ENVIRONMENTS............ 80 8. INFORMATICA vs DATASTAGE............................................................... 83 9. BEFORE YOU DESIGN YOUR APPLICATION ...................................... 94 10. DATASTAGE 7.5x1 GUI FEATURES....................................................... 101 11. DATASTAGE & DWH INTERVIEW QUESTIONS ............................... 104 12. DATASTAGE ROUTINES.......................................................................... 116 13. SET_JOB_PARAMETERS_ROUTINE..................................................... 177

Version 1.4 Prepared by: Raveen Ollalwar Email: [email protected]

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DATASTAGE QUESTIONS 1. What is the flow of loading data into fact & dimensional tables? A) Fact table - Table with Collection of Foreign Keys corresponding to the Primary Keys in Dimensional table. Consists of fields with numeric values. Dimension table - Table with Unique Primary Key. Load - Data should be first loaded into dimensional table. Based on the primary key values in dimensional table, the data should be loaded into Fact table. 2. What is the default cache size? How do you change the cache size if needed? A. Default cache size is 256 MB. We can increase it by going into Datastage Administrator and selecting the Tunable Tab and specify the cache size over there. 3. What are types of Hashed File? A) Hashed File is classified broadly into 2 types. a) Static - Sub divided into 17 types based on Primary Key Pattern. b) Dynamic - sub divided into 2 types i) Generic ii) Specific. Dynamic files do not perform as well as a well, designed static file, but do perform better than a badly designed one. When creating a dynamic file you can specify the following Although all of these have default values) By Default Hashed file is "Dynamic - Type Random 30 D" 4. What does a Config File in parallel extender consist of? A) Config file consists of the following. a) Number of Processes or Nodes. b) Actual Disk Storage Location. 5. What is Modulus and Splitting in Dynamic Hashed File? A. In a Hashed File, the size of the file keeps changing randomly. If the size of the file increases it is called as "Modulus". If the size of the file decreases it is called as "Splitting". 6. What are Stage Variables, Derivations and Constants? A. Stage Variable - An intermediate processing variable that retains value during read and doesn’t pass the value into target column. Derivation - Expression that specifies value to be passed on to the target column. Constant - Conditions that are either true or false that specifies flow of data with a link. 7. Types of views in Datastage Director? There are 3 types of views in Datastage Director a) Job View - Dates of Jobs Compiled. b) Log View - Status of Job last run

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c) Status View - Warning Messages, Event Messages, Program Generated Messages. 8. Types of Parallel Processing? A) Parallel Processing is broadly classified into 2 types. a) SMP - Symmetrical Multi Processing. b) MPP - Massive Parallel Processing. 9. Orchestrate Vs Datastage Parallel Extender? A) Orchestrate itself is an ETL tool with extensive parallel processing capabilities and running on UNIX platform. Datastage used Orchestrate with Datastage XE (Beta version of 6.0) to incorporate the parallel processing capabilities. Now Datastage has purchased Orchestrate and integrated it with Datastage XE and released a new version Datastage 6.0 i.e Parallel Extender. 10. Importance of Surrogate Key in Data warehousing? A) Surrogate Key is a Primary Key for a Dimension table. Most importance of using it is it is independent of underlying database. i.e. Surrogate Key is not affected by the changes going on with a database. 11. How to run a Shell Script within the scope of a Data stage job? A) By using "ExcecSH" command at Before/After job properties. 12. How to handle Date conversions in Datastage? Convert a mm/dd/yyyy format to yyyy-dd-mm? A) We use a) "Iconv" function - Internal Conversion. b) "Oconv" function - External Conversion. Function to convert mm/dd/yyyy format to yyyy-dd-mm is Oconv(Iconv(Filedname,"D/MDY[2,2,4]"),"D-MDY[2,2,4]") 13 How do you execute datastage job from command line prompt? A) Using "dsjob" command as follows. dsjob -run -jobstatus projectname jobname 14. Functionality of Link Partitioner and Link Collector? Link Partitioner: It actually splits data into various partitions or data flows using various partition methods. Link Collector: It collects the data coming from partitions, merges it into a single data flow and loads to target. 15. Types of Dimensional Modeling? A) Dimensional modeling is again sub divided into 2 types. a) Star Schema - Simple & Much Faster. Denormalized form. b) Snowflake Schema - Complex with more Granularity. More normalized form. 16. Differentiate Primary Key and Partition Key?

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Primary Key is a combination of unique and not null. It can be a collection of key values called as composite primary key. Partition Key is a just a part of Primary Key. There are several methods of partition like Hash, DB2, and Random etc. While using Hash partition we specify the Partition Key. 17. Differentiate Database data and Data warehouse data? A) Data in a Database is a) Detailed or Transactional b) Both Readable and Writable. c) Current. 18. Containers Usage and Types? Container is a collection of stages used for the purpose of Reusability. There are 2 types of Containers. a) Local Container: Job Specific b) Shared Container: Used in any job within a project. 19. Compare and Contrast ODBC and Plug-In stages? ODBC: a) Poor Performance. b) Can be used for Variety of Databases. c) Can handle Stored Procedures. Plug-In: a) Good Performance. b) Database specific. (Only one database) c) Cannot handle Stored Procedures. 20. Dimension Modelling types along with their significance Data Modelling is Broadly classified into 2 types. a) E-R Diagrams (Entity - Relatioships). b) Dimensional Modelling. Q 21 What are Ascential Dastastage Products, Connectivity Ans: Ascential Products Ascential DataStage Ascential DataStage EE (3) Ascential DataStage EE MVS Ascential DataStage TX Ascential QualityStage Ascential MetaStage Ascential RTI (2) Ascential ProfileStage Ascential AuditStage Ascential Commerce Manager Industry Solutions

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Connectivity Files RDBMS Real-time PACKs EDI Other Q 22 Explain Data Stage Architecture? Data Stage contains two components, Client Component. Server Component. Client Component:
Data Stage Administrator.
Data Stage Manager
Data Stage Designer
Data Stage Director Server Components:
Data Stage Engine
Meta Data Repository
Package Installer Data Stage Administrator: Used to create the project. Contains set of properties

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We can set the buffer size (by default 128 MB) We can increase the buffer size. We can set the Environment Variables. In tunable we have in process and inter-process In-process—Data read in sequentially Inter-process— It reads the data as it comes. It just interfaces to metadata. Data Stage Manager: We can view and edit the Meta data Repository. We can import table definitions. We can export the Data stage components in .xml or .dsx format. We can create routines and transforms We can compile the multiple jobs.

Data Stage Designer: We can create the jobs. We can compile the job. We can run the job. We can declare stage variable in transform, we can call routines, transform, macros, functions. We can write constraints. Data Stage Director: We can run the jobs.

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We can schedule the jobs. (Schedule can be done daily, weekly, monthly, quarterly) We can monitor the jobs. We can release the jobs. Q 23 What is Meta Data Repository? Meta Data is a data about the data. It also contains  Query statistics  ETL statistics  Business subject area  Source Information  Target Information  Source to Target mapping Information. Q 24 What is Data Stage Engine? It is a JAVA engine running at the background. Q 25 What is Dimensional Modeling? Dimensional Modeling is a logical design technique that seeks to present the data in a standard framework that is, intuitive and allows for high performance access. Q 26 What is Star Schema? Star Schema is a de-normalized multi-dimensional model. It contains centralized fact tables surrounded by dimensions table. Dimension Table: It contains a primary key and description about the fact table. Fact Table: It contains foreign keys to the dimension tables, measures and aggregates. Q 27 What is surrogate Key? It is a 4-byte integer which replaces the transaction / business / OLTP key in the dimension table. We can store up to 2 billion record. Q 28 Why we need surrogate key? It is used for integrating the data may help better for primary key. Index maintenance, joins, table size, key updates, disconnected inserts and partitioning. Q 29 What is Snowflake schema? It is partially normalized dimensional model in which at two represents least one dimension or more hierarchy related tables. Q 30 Explain Types of Fact Tables? Factless Fact: It contains only foreign keys to the dimension tables. Additive Fact: Measures can be added across any dimensions. Semi-Additive: Measures can be added across some dimensions. Eg, % age, discount Non-Additive: Measures cannot be added across any dimensions. Eg, Average

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Conformed Fact: The equation or the measures of the two fact tables are the same under the facts are measured across the dimensions with a same set of measures. Q 31 Explain the Types of Dimension Tables? Conformed Dimension: If a dimension table is connected to more than one fact table, the granularity that is defined in the dimension table is common across between the fact tables. Junk Dimension: The Dimension table, which contains only flags. Monster Dimension: If rapidly changes in Dimension are known as Monster Dimension. De-generative Dimension: It is line item-oriented fact table design. Q 32 What are stage variables? Stage variables are declaratives in Transformer Stage used to store values. Stage variables are active at the run time. (Because memory is allocated at the run time). Q 33 What is sequencer? It sets the sequence of execution of server jobs. Q 34 What are Active and Passive stages? Active Stage: Active stage model the flow of data and provide mechanisms for combining data streams, aggregating data and converting data from one data type to another. Eg, Transformer, aggregator, sort, Row Merger etc. Passive Stage: A Passive stage handles access to Database for the extraction or writing of data. Eg, IPC stage, File types, Universe, Unidata, DRS stage etc. Q 35 What is ODS? Operational Data Store is a staging area where data can be rolled back. Q 36 What are Macros? They are built from Data Stage functions and do not require arguments. A number of macros are provided in the JOBCONTROL.H file to facilitate getting information about the current job, and links and stages belonging to the current job. These can be used in expressions (for example for use in Transformer stages), job control routines, filenames and table names, and before/after subroutines. These macros provide the functionality of using the DSGetProjectInfo, DSGetJobInfo, DSGetStageInfo, and DSGetLinkInfo functions with the DSJ.ME token as the JobHandle and can be used in all active stages and before/after subroutines. The macros provide the functionality for all the possible InfoType arguments for the DSGet…Info functions. See the Function call help topics for more details. The available macros are: DSHostName DSProjectName DSJobStatus DSJobName

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DSJobController DSJobStartDate DSJobStartTime DSJobStartTimestamp DSJobWaveNo DSJobInvocations DSJobInvocationId DSStageName DSStageLastErr DSStageType DSStageInRowNum DSStageVarList DSLinkRowCount DSLinkLastErr DSLinkName

1) Examples 2) To obtain the name of the current job: 3) MyName = DSJobName To obtain the full current stage name: MyName = DSJobName : ″.″ : DSStageName Q 37 What is keyMgtGetNextValue? It is a Built-in transform it generates Sequential numbers. Its input type is literal string & output type is string. Q 38 What are stages? The stages are either passive or active stages. Passive stages handle access to databases for extracting or writing data. Active stages model the flow of data and provide mechanisms for combining data streams, aggregating data, and converting data from one data type to another. Q 39 What index is created on Data Warehouse? Bitmap index is created in Data Warehouse. Q 40 What is container? A container is a group of stages and links. Containers enable you to simplify and modularize your server job designs by replacing complex areas of the diagram with a single container stage. You can also use shared containers as a way of incorporating server job functionality into parallel jobs. DataStage provides two types of container:

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• •

Local containers. These are created within a job and are only accessible by that job. A local container is edited in a tabbed page of the job’s Diagram window. Shared containers. These are created separately and are stored in the Repository in the same way that jobs are. There are two types of shared container

Q 41 What is function? ( Job Control – Examples of Transform Functions ) Functions take arguments and return a value.  BASIC functions: A function performs mathematical or string manipulations on the arguments supplied to it, and return a value. Some functions have 0 arguments; most have 1 or more. Arguments are always in parentheses, separated by commas, as shown in this general syntax: FunctionName (argument, argument)  DataStage BASIC functions: These functions can be used in a job control routine, which is defined as part of a job’s properties and allows other jobs to be run and controlled from the first job. Some of the functions can also be used for getting status information on the current job; these are useful in active stage expressions and before- and after-stage subroutines. To do this ... Specify the job you want to control Set parameters for the job you want to control

Use this function ... DSAttachJob DSSetParam

Set limits for the job you want to control Request that a job is run Wait for a called job to finish Gets the meta data details for the specified link Get information about the current project Get buffer size and timeout value for an IPC or Web Service stage Get information about the controlled job or current job

DSSetJobLimit DSRunJob DSWaitForJob DSGetLinkMetaData DSGetProjectInfo DSGetIPCStageProps

Get information about the meta bag properties associated with the named job Get information about a stage in the controlled job or current job Get the names of the links attached to the specified stage

DSGetJobMetaBag

Get a list of stages of a particular type in a job.

DSGetStagesOfType

Get information about the types of stage in a job.

DSGetStageTypes

Get information about a link in a controlled job or current job

DSGetLinkInfo

Get information about a controlled job’s parameters

DSGetParamInfo

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DSGetJobInfo

DSGetStageInfo DSGetStageLinks

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Get the log event from the job log Get a number of log events on the specified subject from the job log Get the newest log event, of a specified type, from the job log

DSGetLogEntry DSGetLogSummary

Log an event to the job log of a different job Stop a controlled job Return a job handle previously obtained from DSAttachJob

DSLogEvent DSStopJob DSDetachJob

Log a fatal error message in a job's log file and aborts the job.

DSLogFatal

Log an information message in a job's log file.

DSLogInfo

Put an info message in the job log of a job controlling current job. Log a warning message in a job's log file. Generate a string describing the complete status of a valid attached job. Insert arguments into the message template.

DSLogToController DSLogWarn DSMakeJobReport

Ensure a job is in the correct state to be run or validated.

DSPrepareJob

Interface to system send mail facility. Log a warning message to a job log file.

DSSendMail DSTransformError

Convert a job control status or error code into an explanatory text message. Suspend a job until a named file either exists or does not exist.

DSTranslateCode

Checks if a BASIC routine is cataloged, either in VOC as a callable item, or in the catalog space. Execute a DOS or Data Stage Engine command from a before/after subroutine. Set a status message for a job to return as a termination message when it finishes

DSCheckRoutine

DSGetNewestLogId

DSMakeMsg

DSWaitForFile

DSExecute DSSetUserStatus

Q 42 What is Routines? Routines are stored in the Routines branch of the Data Stage Repository, where you can create, view or edit. The following programming components are classified as routines: Transform functions, Before/After subroutines, Custom UniVerse functions, ActiveX (OLE) functions, Web Service routines Q 43 What is data stage Transform? Q 44 What is Meta Brokers? Q 45 What is usage analysis? Q 46 What is job sequencer?

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Q 47 What are different activities in job sequencer? Q 48 What are triggers in data Stages? (conditional, unconditional, otherwise) Q 49 Are u generated job Reports? S Q 50 What is plug-in? Q 51 Have u created any custom transform? Explain? (Oconv)

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DATASTAGE FAQ Question: Dimension Modeling types along with their significance Answer: Data Modelling is broadly classified into 2 types. A) E-R Diagrams (Entity - Relatioships). B) Dimensional Modelling. Question: Dimensional modelling is again sub divided into 2 types. Answer: A) Star Schema - Simple & Much Faster. Denormalized form. B) Snowflake Schema - Complex with more Granularity. More normalized form. Question: Importance of Surrogate Key in Data warehousing? Answer: Surrogate Key is a Primary Key for a Dimension table. Most importance of using it is, it is independent of underlying database, i.e. Surrogate Key is not affected by the changes going on with a database. Question: Differentiate Database data and Data warehouse data? Answer: Data in a Database is A) Detailed or Transactional B) Both Readable and Writable. C) Current. Question: What is the flow of loading data into fact & dimensional tables? Answer: Fact table - Table with Collection of Foreign Keys corresponding to the Primary Keys in Dimensional table. Consists of fields with numeric values. Dimension table - Table with Unique Primary Key. Load - Data should be first loaded into dimensional table. Based on the primary key values in dimensional table, then data should be loaded into Fact table. Question: Orchestrate Vs Datastage Parallel Extender? Answer: Orchestrate itself is an ETL tool with extensive parallel processing capabilities and running on UNIX platform. Datastage used Orchestrate with Datastage XE (Beta version of 6.0) to incorporate the parallel processing capabilities. Now Datastage has purchased Orchestrate and integrated it with Datastage XE and released a new version Datastage 6.0 i.e. Parallel Extender. Question: Differentiate Primary Key and Partition Key? Answer: Primary Key is a combination of unique and not null. It can be a collection of key values called as composite primary key. Partition Key is a just a part of Primary Key. There are several methods of partition like Hash, DB2, Random etc...While using Hash partition we specify the Partition Key.

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Question: What are Stage Variables, Derivations and Constants? Answer: Stage Variable - An intermediate processing variable that retains value during read and doesn’t pass the value into target column. Constraint - Conditions that are either true or false that specifies flow of data with a link. Derivation - Expression that specifies value to be passed on to the target column. Question: What is the default cache size? How do you change the cache size if needed? Answer: Default cache size is 256 MB. We can increase it by going into Datastage Administrator and selecting the Tunable Tab and specify the cache size over there. Question: What is Hash file stage and what is it used for? Answer: Used for Look-ups. It is like a reference table. It is also used in-place of ODBC, OCI tables for better performance. Question: What are types of Hashed File? Answer: Hashed File is classified broadly into 2 types. A) Static - Sub divided into 17 types based on Primary Key Pattern. B) Dynamic - sub divided into 2 types i) Generic ii) Specific Default Hased file is "Dynamic - Type Random 30 D" Question: What are Static Hash files and Dynamic Hash files? Answer: As the names itself suggest what they mean. In general we use Type-30 dynamic Hash files. The Data file has a default size of 2GB and the overflow file is used if the data exceeds the 2GB size. Question: What is the Usage of Containers? What are its types? Answer: Container is a collection of stages used for the purpose of Reusability. There are 2 types of Containers. A) Local Container: Job Specific B) Shared Container: Used in any job within a project. Question: Compare and Contrast ODBC and Plug-In stages? Answer: ODBC Poor Performance Can be used for Variety of Databases Can handle Stored Procedures

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PLUG-IN Good Performance Database Specific (only one database) Cannot handle Stored Procedures

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Question: How do you execute datastage job from command line prompt? Answer: Using "dsjob" command as follows. dsjob -run -jobstatus projectname jobname Question: What are the command line functions that import and export the DS jobs? Answer:
dsimport.exe - imports the DataStage components.
dsexport.exe - exports the DataStage components. Question: How to run a Shell Script within the scope of a Data stage job? Answer: By using "ExcecSH" command at Before/After job properties. Question: What are OConv () and Iconv () functions and where are they used? Answer: IConv() - Converts a string to an internal storage format OConv() - Converts an expression to an output format. Question: How to handle Date convertions in Datastage? Convert mm/dd/yyyy format to yyyy-dd-mm? Answer: We use a) "Iconv" function - Internal Convertion. b) "Oconv" function - External Convertion. Function to convert mm/dd/yyyy format to yyyy-dd-mm is Oconv(Iconv(Filedname,"D/MDY[2,2,4]"),"D-MDY[2,2,4]") Question: Types of Parallel Processing? Answer: Parallel Processing is broadly classified into 2 types. a) SMP - Symmetrical Multi Processing. b) MPP - Massive Parallel Processing. Question: What does a Config File in parallel extender consist of? Answer: Config file consists of the following. a) Number of Processes or Nodes. b) Actual Disk Storage Location. Question: Functionality of Link Partitioner and Link Collector? Answer: Link Partitioner: It actually splits data into various partitions or data flows using various Partition methods. Link Collector: It collects the data coming from partitions, merges it into a single data flow and loads to target.

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Question: What is Modulus and Splitting in Dynamic Hashed File? Answer: In a Hashed File, the size of the file keeps changing randomly. If the size of the file increases it is called as "Modulus". If the size of the file decreases it is called as "Splitting". Question: Types of views in Datastage Director? Answer: There are 3 types of views in Datastage Director a) Job View - Dates of Jobs Compiled. b) Log View - Status of Job last Run c) Status View - Warning Messages, Event Messages, Program Generated Messages. Question: Did you Parameterize the job or hard-coded the values in the jobs? Answer: Always parameterized the job. Either the values are coming from Job Properties or from a ‘Parameter Manager’ – a third part tool. There is no way you will hard–code some parameters in your jobs. The often Parameterized variables in a job are: DB DSN name, username, password, dates W.R.T for the data to be looked against at. Question: Have you ever involved in updating the DS versions like DS 5.X, if so tell us some the steps you have taken in doing so? Answer: Yes. The following are some of the steps: Definitely take a back up of the whole project(s) by exporting the project as a .dsx file See that you are using the same parent folder for the new version also for your old jobs using the hard-coded file path to work. After installing the new version import the old project(s) and you have to compile them all again. You can use 'Compile All' tool for this. Make sure that all your DB DSN's are created with the same name as old ones. This step is for moving DS from one machine to another. In case if you are just upgrading your DB from Oracle 8i to Oracle 9i there is tool on DS CD that can do this for you. Do not stop the 6.0 server before the upgrade, version 7.0 install process collects project information during the upgrade. There is NO rework (recompilation of existing jobs/routines) needed after the upgrade. Question: How did you handle reject data? Answer: Typically a Reject-link is defined and the rejected data is loaded back into data warehouse. So Reject link has to be defined every Output link you wish to collect rejected data. Rejected data is typically bad data like duplicates of Primary keys or nullrows where data is expected.

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Question: What are other Performance tunings you have done in your last project to increase the performance of slowly running jobs? Answer:
Staged the data coming from ODBC/OCI/DB2UDB stages or any database on the server using Hash/Sequential files for optimum performance also for data recovery in case job aborts.
Tuned the OCI stage for 'Array Size' and 'Rows per Transaction' numerical values for faster inserts, updates and selects.
Tuned the 'Project Tunables' in Administrator for better performance.
Used sorted data for Aggregator.
Sorted the data as much as possible in DB and reduced the use of DS-Sort for better performance of jobs.
Removed the data not used from the source as early as possible in the job.
Worked with DB-admin to create appropriate Indexes on tables for better performance of DS queries.
Converted some of the complex joins/business in DS to Stored Procedures on DS for faster execution of the jobs.
If an input file has an excessive number of rows and can be split-up then use standard logic to run jobs in parallel.
Before writing a routine or a transform, make sure that there is not the functionality required in one of the standard routines supplied in the sdk or ds utilities categories.
Constraints are generally CPU intensive and take a significant amount of time to process. This may be the case if the constraint calls routines or external macros but if it is inline code then the overhead will be minimal.
Try to have the constraints in the 'Selection' criteria of the jobs itself. This will eliminate the unnecessary records even getting in before joins are made.
Tuning should occur on a job-by-job basis.
Use the power of DBMS.
Try not to use a sort stage when you can use an ORDER BY clause in the database.
Using a constraint to filter a record set is much slower than performing a SELECT … WHERE….
Make every attempt to use the bulk loader for your particular database. Bulk loaders are generally faster than using ODBC or OLE. Question: Tell me one situation from your last project, where you had faced problem and How did u solve it? Answer: 1. The jobs in which data is read directly from OCI stages are running extremely slow. I had to stage the data before sending to the transformer to make the jobs run faster. 2. The job aborts in the middle of loading some 500,000 rows. Have an option either cleaning/deleting the loaded data and then run the fixed job or run the job again from the row the job has aborted. To make sure the load is proper we opted the former. Question: Tell me the environment in your last projects Answer: Give the OS of the Server and the OS of the Client of your recent most project

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Question: How did u connect with DB2 in your last project? Answer: Most of the times the data was sent to us in the form of flat files. The data is dumped and sent to us. In some cases were we need to connect to DB2 for look-ups as an instance then we used ODBC drivers to connect to DB2 (or) DB2-UDB depending the situation and availability. Certainly DB2-UDB is better in terms of performance as you know the native drivers are always better than ODBC drivers. 'iSeries Access ODBC Driver 9.00.02.02' - ODBC drivers to connect to AS400/DB2. Question: What are Routines and where/how are they written and have you written any routines before? Answer: Routines are stored in the Routines branch of the DataStage Repository, where you can create, view or edit. The following are different types of Routines: 1. Transform Functions 2. Before-After Job subroutines 3. Job Control Routines Question: How did you handle an 'Aborted' sequencer? Answer: In almost all cases we have to delete the data inserted by this from DB manually and fix the job and then run the job again. Question: What are Sequencers? Answer: Sequencers are job control programs that execute other jobs with preset Job parameters. Question: Read the String functions in DS Answer: Functions like [] -> sub-string function and ':' -> concatenation operator Syntax: string [ [ start, ] length ] string [ delimiter, instance, repeats ] Question: What will you in a situation where somebody wants to send you a file and use that file as an input or reference and then run job. Answer: • Under Windows: Use the 'WaitForFileActivity' under the Sequencers and then run the job. May be you can schedule the sequencer around the time the file is expected to arrive. • Under UNIX: Poll for the file. Once the file has start the job or sequencer depending on the file. Question: What is the utility you use to schedule the jobs on a UNIX server other than using Ascential Director? Answer: Use crontab utility along with dsexecute() function along with proper parameters passed. Email: [email protected]

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Question: Did you work in UNIX environment? Answer: Yes. One of the most important requirements. Question: How would call an external Java function which are not supported by DataStage? Answer: Starting from DS 6.0 we have the ability to call external Java functions using a Java package from Ascential. In this case we can even use the command line to invoke the Java function and write the return values from the Java program (if any) and use that files as a source in DataStage job. Question: How will you determine the sequence of jobs to load into data warehouse? Answer: First we execute the jobs that load the data into Dimension tables, then Fact tables, then load the Aggregator tables (if any). Question: The above might raise another question: Why do we have to load the dimensional tables first, then fact tables: Answer: As we load the dimensional tables the keys (primary) are generated and these keys (primary) are Foreign keys in Fact tables. Question: Does the selection of 'Clear the table and Insert rows' in the ODBC stage send a Truncate statement to the DB or does it do some kind of Delete logic. Answer: There is no TRUNCATE on ODBC stages. It is Clear table blah blah and that is a delete from statement. On an OCI stage such as Oracle, you do have both Clear and Truncate options. They are radically different in permissions (Truncate requires you to have alter table permissions where Delete doesn't). Question: How do you rename all of the jobs to support your new File-naming conventions? Answer: Create an Excel spreadsheet with new and old names. Export the whole project as a dsx. Write a Perl program, which can do a simple rename of the strings looking up the Excel file. Then import the new dsx file probably into a new project for testing. Recompile all jobs. Be cautious that the name of the jobs has also been changed in your job control jobs or Sequencer jobs. So you have to make the necessary changes to these Sequencers. Question: When should we use ODS? Answer: DWH's are typically read only, batch updated on a schedule ODS's are maintained in more real time, trickle fed constantly

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Question: What other ETL's you have worked with? Answer: Informatica and also DataJunction if it is present in your Resume. Question: How good are you with your PL/SQL? Answer: On the scale of 1-10 say 8.5-9 Question: What versions of DS you worked with? Answer: DS 7.5, DS 7.0.2, DS 6.0, DS 5.2 Question: What's the difference between Datastage Developers...? Answer: Datastage developer is one how will code the jobs. Datastage designer is how will design the job, I mean he will deal with blue prints and he will design the jobs the stages that are required in developing the code Question: What are the requirements for your ETL tool? Answer: Do you have large sequential files (1 million rows, for example) that need to be compared every day versus yesterday? If so, then ask how each vendor would do that. Think about what process they are going to do. Are they requiring you to load yesterday’s file into a table and do lookups? If so, RUN!! Are they doing a match/merge routine that knows how to process this in sequential files? Then maybe they are the right one. It all depends on what you need the ETL to do. If you are small enough in your data sets, then either would probably be OK. Question: What are the main differences between Ascential DataStage and Informatica PowerCenter? Answer: Chuck Kelley’s Answer: You are right; they have pretty much similar functionality. However, what are the requirements for your ETL tool? Do you have large sequential files (1 million rows, for example) that need to be compared every day versus yesterday? If so, then ask how each vendor would do that. Think about what process they are going to do. Are they requiring you to load yesterday’s file into a table and do lookups? If so, RUN!! Are they doing a match/merge routine that knows how to process this in sequential files? Then maybe they are the right one. It all depends on what you need the ETL to do. If you are small enough in your data sets, then either would probably be OK. Les Barbusinski’s Answer: Without getting into specifics, here are some differences you may want to explore with each vendor: •

Does the tool use a relational or a proprietary database to store its Meta data and scripts? If proprietary, why?

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• • • •

What add-ons are available for extracting data from industry-standard ERP, Accounting, and CRM packages? Can the tool’s Meta data be integrated with third-party data modeling and/or business intelligence tools? If so, how and with which ones? How well does each tool handle complex transformations, and how much external scripting is required? What kinds of languages are supported for ETL script extensions?

Almost any ETL tool will look like any other on the surface. The trick is to find out which one will work best in your environment. The best way I’ve found to make this determination is to ascertain how successful each vendor’s clients have been using their product. Especially clients who closely resemble your shop in terms of size, industry, inhouse skill sets, platforms, source systems, data volumes and transformation complexity. Ask both vendors for a list of their customers with characteristics similar to your own that have used their ETL product for at least a year. Then interview each client (preferably several people at each site) with an eye toward identifying unexpected problems, benefits, or quirkiness with the tool that have been encountered by that customer. Ultimately, ask each customer – if they had it all to do over again – whether or not they’d choose the same tool and why? You might be surprised at some of the answers. Joyce Bischoff’s Answer: You should do a careful research job when selecting products. You should first document your requirements, identify all possible products and evaluate each product against the detailed requirements. There are numerous ETL products on the market and it seems that you are looking at only two of them. If you are unfamiliar with the many products available, you may refer to www.tdan.com, the Data Administration Newsletter, for product lists. If you ask the vendors, they will certainly be able to tell you which of their product’s features are stronger than the other product. Ask both vendors and compare the answers, which may or may not be totally accurate. After you are very familiar with the products, call their references and be sure to talk with technical people who are actually using the product. You will not want the vendor to have a representative present when you speak with someone at the reference site. It is also not a good idea to depend upon a high-level manager at the reference site for a reliable opinion of the product. Managers may paint a very rosy picture of any selected product so that they do not look like they selected an inferior product. Question: How many places u can call Routines? Answer: Four Places u can call 1. Transform of routine a. Date Transformation b. Upstring Transformation 2. Transform of the Before & After Subroutines 3. XML transformation

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4.

Web base transformation

Question: What is the Batch Program and how can generate? Answer: Batch program is the program it's generate run time to maintain by the Datastage itself but u can easy to change own the basis of your requirement (Extraction, Transformation, Loading) .Batch program are generate depends your job nature either simple job or sequencer job, you can see this program on job control option. Question: Suppose that 4 job control by the sequencer like (job 1, job 2, job 3, job 4 ) if job 1 have 10,000 row ,after run the job only 5000 data has been loaded in target table remaining are not loaded and your job going to be aborted then.. How can short out the problem? Answer: Suppose job sequencer synchronies or control 4 job but job 1 have problem, in this condition should go director and check it what type of problem showing either data type problem, warning massage, job fail or job aborted, If job fail means data type problem or missing column action .So u should go Run window ->Click-> Tracing->Performance or In your target table ->general -> action-> select this option here two option (i) On Fail -- Commit , Continue (ii) On Skip -- Commit, Continue. First u check how much data already load after then select on skip option then continue and what remaining position data not loaded then select On Fail , Continue ...... Again Run the job defiantly u gets successful massage Question: What happens if RCP is disable? Answer: In such case OSH has to perform Import and export every time when the job runs and the processing time job is also increased... Question: How do you rename all of the jobs to support your new File-naming conventions? Answer: Create a Excel spreadsheet with new and old names. Export the whole project as a dsx. Write a Perl program, which can do a simple rename of the strings looking up the Excel file. Then import the new dsx file probably into a new project for testing. Recompile all jobs. Be cautious that the name of the jobs has also been changed in your job control jobs or Sequencer jobs. So you have to make the necessary changes to these Sequencers. Question: What will you in a situation where somebody wants to send you a file and use that file as an input or reference and then run job. Answer: A. Under Windows: Use the 'WaitForFileActivity' under the Sequencers and then run the job. May be you can schedule the sequencer around the time the file is expected to arrive. B. Under UNIX: Poll for the file. Once the file has start the job or sequencer depending on the file

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Question: What are Sequencers? Answer: Sequencers are job control programs that execute other jobs with preset Job parameters. Question: How did you handle an 'Aborted' sequencer? Answer: In almost all cases we have to delete the data inserted by this from DB manually and fix the job and then run the job again. Question34: What is the difference between the Filter stage and the Switch stage? Ans: There are two main differences, and probably some minor ones as well. The two main differences are as follows. 1) The Filter stage can send one input row to more than one output link. The Switch stage can not - the C switch construct has an implicit break in every case. 2) The Switch stage is limited to 128 output links; the Filter stage can have a theoretically unlimited number of output links. (Note: this is not a challenge!) Question: How can i achieve constraint based loading using datastage7.5.My target tables have inter dependencies i.e. Primary key foreign key constraints. I want my primary key tables to be loaded first and then my foreign key tables and also primary key tables should be committed before the foreign key tables are executed. How can I go about it? Ans:1) Create a Job Sequencer to load you tables in Sequential mode In the sequencer Call all Primary Key tables loading Jobs first and followed by Foreign key tables, when triggering the Foreign tables load Job trigger them only when Primary Key load Jobs run Successfully ( i.e. OK trigger) 2) To improve the performance of the Job, you can disable all the constraints on the tables and load them. Once loading done, check for the integrity of the data. Which does not meet raise exceptional data and cleanse them. This only a suggestion, normally when loading on constraints are up, will drastically performance will go down. 3) If you use Star schema modeling, when you create physical DB from the model, you can delete all constraints and the referential integrity would be maintained in the ETL process by referring all your dimension keys while loading fact tables. Once all dimensional keys are assigned to a fact then dimension and fact can be loaded together. At the same time RI is being maintained at ETL process level. Question: How do you merge two files in DS?

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Ans: Either use Copy command as a Before-job subroutine if the metadata of the 2 files are same or create a job to concatenate the 2 files into one, if the metadata is different. Question: How do you eliminate duplicate rows? Ans: Data Stage provides us with a stage Remove Duplicates in Enterprise edition. Using that stage we can eliminate the duplicates based on a key column. Question: How do you pass filename as the parameter for a job? Ans: While job development we can create a parameter 'FILE_NAME' and the value can be passed while Question: How did you handle an 'Aborted' sequencer? Ans: In almost all cases we have to delete the data inserted by this from DB manually and fix the job and then run the job again. Question: Is there a mechanism available to export/import individual DataStage ETL jobs from the UNIX command line? Ans: Try dscmdexport and dscmdimport. Won't handle the "individual job" requirement. You can only export full projects from the command line. You can find the export and import executables on the client machine usually someplace like: C:\Program Files\Ascential\DataStage. Question: Diff. between JOIN stage and MERGE stage. Answer: JOIN: Performs join operations on two or more data sets input to the stage and then outputs the resulting dataset. MERGE: Combines a sorted master data set with one or more sorted updated data sets. The columns from the records in the master and update data set s are merged so that the out put record contains all the columns from the master record plus any additional columns from each update record that required. A master record and an update record are merged only if both of them have the same values for the merge key column(s) that we specify .Merge key columns are one or more columns that exist in both the master and update records. Question: Advantages of the DataStage? Answer: Business advantages: • • • •

Helps for better business decisions; It is able to integrate data coming from all parts of the company; It helps to understand the new and already existing clients; We can collect data of different clients with him, and compare them;

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• •

It makes the research of new business possibilities possible; We can analyze trends of the data read by him.

Technological advantages: • • • • •

It handles all company data and adapts to the needs; It offers the possibility for the organization of a complex business intelligence; Flexibly and scalable; It accelerates the running of the project; Easily implementable.

1. What is the architecture of data stage? Basically architecture of DS is client/server architecture. Client components & server components Client components are 4 types they are 1. Data stage designer 2. Data stage administrator 3. Data stage director 4. Data stage manager Data stage designer is user for to design the jobs Data stage manager is used for to import & export the project to view & edit the contents of the repository. Data stage administrator is used for creating the project, deleting the project & setting the environment variables. Data stage director is use for to run the jobs, validate the jobs, scheduling the jobs. Server components DS server: runs executable server jobs, under the control of the DS director, that extract, transform, and load data into a DWH. DS Package installer: A user interface used to install packaged DS jobs and plug-in; Repository or project: a central store that contains all the information required to build DWH or data mart. 2. What r the stages u worked on?

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3. I have some jobs every month automatically delete the log details what r the steps u have to take for that We have to set the option autopurge in DS Adminstrator. 4. I want to run the multiple jobs in the single job. How can u handle. In job properties set the option ALLOW MULTIPLE INSTANCES. 5. What is version controlling in DS? In DS, version controlling is used for back up the project or jobs. This option is available in DS 7.1 version onwards. Version controls r of 2 types. 1. VSS- visual source safe 2. CVSS- concurrent visual source safe. VSS is designed by Microsoft but the disadvantage is only one user can access at a time, other user can wait until the first user complete the operation. CVSS, by using this many users can access concurrently. When compared to VSS, CVSS cost is high. 6. What is the difference between clear log file and clear status file? Clear log--- we can clear the log details by using the DS Director. Under job menu clear log option is available. By using this option we can clear the log details of particular job. Clear status file---- lets the user remove the status of the record associated with all stages of selected jobs.(in DS Director) 7. I developed 1 job with 50 stages, at the run time one stage is missed how can u identify which stage is missing? By using usage analysis tool, which is available in DS manager, we can find out the what r the items r used in job. 8. My job takes 30 minutes time to run, I want to run the job less than 30 minutes? What r the steps we have to take? By using performance tuning aspects which are available in DS, we can reduce time. Tuning aspect In DS administrator In between passive stages

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: in-process and inter process : inter process stage

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OCI stage

: Array size and transaction size

And also use link partitioner & link collector stage in between passive stages 9. How to do road transposition in DS? Pivot stage is used to transposition purpose. Pivot is an active stage that maps sets of columns in an input table to a single column in an output table. 10. If a job locked by some user, how can you unlock the particular job in DS? We can unlock the job by using clean up resources option which is available in DS Director. Other wise we can find PID (process id) and kill the process in UNIX server. 11. What is a container? How many types containers are available? Is it possible to use container as look up? A container is a group of stages and links. Containers enable you to simplify and modularize your server job designs by replacing complex areas of the diagram with a single container stage. DataStage provides two types of container: • Local containers. These are created within a job and are only accessible by that job only. • Shared containers. These are created separately and are stored in the Repository in the same way that jobs are. Shared containers can use any job in the project. Yes we can use container as look up. 12. How to deconstruct the shared container? To deconstruct the shared container, first u have to convert the shared container to local container. And then deconstruct the container. 13. I am getting input value like X = Iconv(“31 DEC 1967”,”D”)? What is the X value? X value is Zero. Iconv Function Converts a string to an internal storage format.It takes 31 dec 1967 as zero and counts days from that date(31-dec-1967). 14. What is the Unit testing, integration testing and system testing? Unit testing: As for Ds unit test will check the data type mismatching, Size of the particular data type, column mismatching.

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Integration testing: According to dependency we will put all jobs are integrated in to one sequence. That is called control sequence. System testing: System testing is nothing but the performance tuning aspects in Ds. 15. What are the command line functions that import and export the DS jobs? Dsimport.exe ---- To import the DataStage components Dsexport.exe ---- To export the DataStage components 16. How many hashing algorithms are available for static hash file and dynamic hash file? Sixteen hashing algorithms for static hash file. Two hashing algorithms for dynamic hash file( GENERAL or SEQ.NUM) 17. What happens when you have a job that links two passive stages together? Obviously there is some process going on. Under covers Ds inserts a cut-down transformer stage between the passive stages, which just passes data straight from one stage to the other. 18. What is the use use of Nested condition activity? Nested Condition. Allows you to further branch the execution of a sequence depending on a condition. 19. I have three jobs A,B,C . Which are dependent on each other? I want to run A & C jobs daily and B job runs only on Sunday. How can u do it? First you have to schedule A & C jobs Monday to Saturday in one sequence. Next take three jobs according to dependency in one more sequence and schedule that job only Sunday.

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TOP 10 FEATURES IN DATASTAGE HAWK The IILive2005 conference marked the first public presentations of the functionality in the WebSphere Information Integration Hawk release. Though it's still a few months away I am sharing my top Ten things I am looking forward to in DataStage Hawk: 1) The metadata server. To borrow a simile from that judge on American Idol "Using MetaStage is kind of like bathing in the ocean on a cold morning. You know it's good for you but that doesn't stop it from freezing the crown jewels." MetaStage is good for ETL projects but none of the projects I've been on has actually used it. Too much effort required to install the software, setup the metabrokers, migrate the metadata, and learn how the product works and write reports. Hawk brings the common repository and improved metadata reporting and we can get the positive effectives of bathing in sea water without the shrinkage that comes with it. 2) QualityStage overhaul. Data Quality reporting can be another forgotten aspect of data integration projects. Like MetaStage the QualityStage server and client had an additional install, training and implementation overhead so many DataStage projects did not use it. I am looking forward to more integration projects using standardisation, matching and survivorship to improve quality once these features are more accessible and easier to use. 3) Frictionless Connectivity and Connection Objects. I've called DB2 every rude name under the sun. Not because it's a bad database but because setting up remote access takes me anywhere from five minutes to five weeks depending on how obscure the error message and how hard it is to find the obscure setup step that was missed during installation. Anything that makes connecting to database easier gets a big tick from me. 4) Parallel job range lookup. I am looking forward to this one because it will stop people asking for it on forums. It looks good, it's been merged into the existing lookup form and seems easy to use. Will be interested to see the performance. 5) Slowly Changing Dimension Stage. This is one of those things that Informatica were able to trumpet at product comparisons, that they have more out of the box DW support. There are a few enhancements to make updates to dimension tables easier, there is the improved surrogate key generator, there is the slowly changing dimension stage and updates passed to in memory lookups. That's it for me with DBMS generated keys, I'm only doing the keys in the ETL job from now on! DataStage server jobs have the hash file lookup where you can read and write to it at the same time, parallel jobs will have the updateable lookup. 6) Collaboration: better developer collaboration. Everyone hates opening a job and being told it is locked. "Bloody whathisname has gone to lunch, locked the job and now his password protected screen saver is up! Unplug his PC!" Under Hawk you can open a readonly copy of a locked job plus you get told who has locked the job so you know whom to curse. Email: [email protected]

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7) Session Disconnection. Accompanied by the metallic cry of "exterminate! exterminate!" an administrator can disconnect sessions and unlock jobs. 8) Improved SQL Builder. I know a lot of people cross the street when they see the SQL Builder coming. Getting the SQL builder to build complex SQL is a bit like teaching a monkey how to play chess. What I do like about the current SQL builder is that it synchronises your SQL select list with your ETL column list to avoid column mismatches. I am hoping the next version is more flexible and can build complex SQL. 9) Improved job startup times. Small parallel jobs will run faster. I call it the death of a thousand cuts, your very large parallel job takes too long to run because a thousand smaller jobs are starting and stopping at the same time and cutting into CPU and memory. Hawk makes these cuts less painful. 10) Common logging. Log views that work across jobs, log searches, log date constraints, wildcard message filters, saved queries. It's all good. You no longer need to send out a search party to find an error message. That's my top ten. I am also hoping the software comes in a box shaped like a hawk and makes a hawk scream when you open it. A bit like those annoying greeting cards. Is there any functionality you think Hawk is missing that you really want to see?

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DATASTAGE NOTES DataStage Tips: 1. Aggregator stage does not support more than one source, if you try to do this you will get error, “The destination stage cannot support any more stream input links”. 2. You can give N number input links to transformer stage, but you can give sequential file stage as reference link. You can give only one sequential file stage as primary link and number other links as reference link. If you try to give sequential file stage as reference link you will get error as, “The destination stage cannot support any more stream input links” because reference link represent a lookup table, but sequential file does not use as lookup table, Hashed file can be use as lookup table. Sequential file stage: • Sequential file stage is provided by datastage to access data from sequential file. (Text file) • The access mechanism of a sequential file is sequence order. • We cannot use a sequential file as a lookup. • The problem with sequential file we cannot directly ‘filter rows’ and query is not supported. Update actions in sequential file: • Over write existing file (radio button). • Append to existing file (radio button). • Backup existing file (check box). Hashed file stage: • Hashed file is used to store data in hash file. • A hash file is similar to a text file but the data will be organized using ‘hashing algorithm’. • Basically hashed file is used for lookup purpose. • The retrieval of data in hashed file faster because it uses ’hashing algorithm’. Update actions in Hashed file: • Clear file before waiting • Backup existing file. • Sequential file (all are check boxes).

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DATABASE Stages: ODBC Stage: ODBC Stage “Stage” Page: You can use an ODBC stage to extract, write, or aggregate data. Each ODBC stage can have any number of inputs or outputs. Input links specify the data you are writing. Output links specify the data you are extracting and any aggregations required. You can specify the data on an input link using an SQL statement constructed by DataStage, a generated query, a stored procedure, or a user-defined SQL query. •

•

GetSQLInfo: is used to get quote character and schema delimiters of your data source. Optionally specify the quote character used by the data source. By default, this is set to " (double quotes). You can also click the Get SQLInfo button to connect to the data source and retrieve the Quote character it uses. An entry of 000 (three zeroes) specifies that no quote character should be used. Optionally specify the schema delimiter used by the data source. By default this is set to. (period) but you can specify a different schema delimiter, or multiple schema delimiters. So, for example, identifiers have the form Node:Schema.Owner;TableName you would enter :.; into this field. You can also click the Get SQLInfo button to connect to the data source and retrieve the Schema delimiter it uses. NLS tab: You can define a character set map for an ODBC stage using the NLS tab of the ODBC Stage

The ODBC stage can handle the following SQL Server data types: • GUID • Timestamp • SmallDateTime ODBC Stage “Input” Page: •

Update action. Specifies how the data is written. Choose the option you want from the drop-down list box:
Clear the table, then insert rows. Deletes the contents of the table and adds the new rows.
Insert rows without clearing. Inserts the new rows in the table.
Insert new or update existing rows. New rows are added or, if the insert fails, the existing rows are updated.
Replace existing rows completely. Deletes the existing rows, then adds the new rows to the table.
Update existing rows only. Updates the existing data rows. If a row with the supplied key does not exist in the table then the table is not updated but a warning is logged.

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Update existing or insert new rows. The existing data rows are updated or, if this fails, new rows are added.
Call stored procedure. Writes the data using a stored procedure. When you select this option, the Procedure name field appears.
User-defined SQL. Writes the data using a user-defined SQL statement. When you select this option, the View SQL tab is replaced by the Enter SQL tab. •

Create table in target database. Select this check box if you want to automatically create a table in the target database at run time. A table is created based on the defined column set for this stage. If you select this option, an additional tab, Edit DDL, appears. This shows the SQL CREATE statement to be used for table generation.

•

Transaction Handling. This page allows you to specify the transaction handling features of the stage as it writes to the ODBC data source. You can choose whether to use transaction grouping or not, specify an isolation level, the number of rows written before each commit, and the number of rows written in each operation.
Isolation Levels: Read Uncommitted, Read Committed, Repeatable Read, Serializable, Versioning, and Auto-Commit.
Rows per transaction field. This is the number of rows written before the data is committed to the data table. The default value is 0, that is, all the rows are written before being committed to the data table.
Parameter array size field. This is the number of rows written at a time. The default is 1, that is, each row is written in a separate operation.

ODBC Stage “Output” Page: ==

PROCESSING Stages: TRANSFORMER Stage: Transformer stages do not extract data or write data to a target database. They are used to handle extracted data, perform any conversions required, and pass data to another Transformer stage or a stage that writes data to a target data table. Transformer stages can have any number of inputs and outputs. The link from the main data input source is designated the primary input link. There can only be one primary input link, but there can be any number of reference inputs. Input Links

The main data source is joined to the Transformer stage via the primary link, but the stage can also have any number of reference input links.

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A reference link represents a table lookup. These are used to provide information that might affect the way the data is changed, but do not supply the actual data to be changed. Reference input columns can be designated as key fields. You can specify key expressions that are used to evaluate the key fields. The most common use for the key expression is to specify an equi-join, which is a link between a primary link column and a reference link column. For example, if your primary input data contains names and addresses, and a reference input contains names and phone numbers, the reference link name column is marked as a key field and the key expression refers to the primary link’s name column. During processing, the name in the primary input is looked up in the reference input. If the names match, the reference data is consolidated with the primary data. If the names do not match, i.e., there is no record in the reference input whose key matches the expression given, all the columns specified for the reference input are set to the null value. Where a reference link originates from a UniVerse or ODBC stage, you can look up multiple rows from the reference table. The rows are specified by a foreign key, as opposed to a primary key used for a single-row lookup. Output Links

You can have any number of output links from your Transformer stage. You may want to pass some data straight through the Transformer stage unaltered, but it’s likely that you’ll want to transform data from some input columns before outputting it from the Transformer stage. You can specify such an operation by entering a BASIC expression or by selecting a transform to apply to the data. DataStage has many built-in transforms, or you can define your own custom transforms that are stored in the Repository and can be reused as required. The source of an output link column is defined in that column’s Derivation cell within the Transformer Editor. You can use the Expression Editor to enter expressions or transforms in this cell. You can also simply drag an input column to an output column’s Derivation cell, to pass the data straight through the Transformer stage. In addition to specify derivation details for individual output columns, you can also specify constraints that operate on entire output links. A constraint is a BASIC expression that specifies criteria that data must meet before it can be passed to the output link. You can also specify a reject link, which is an output link that carries all the data not output on other links, that is, columns that have not met the criteria. Each output link is processed in turn. If the constraint expression evaluates to TRUE for an input row, the data row is output on that link. Conversely, if a constraint expression evaluates to FALSE for an input row, the data row is not output on that link.

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Constraint expressions on different links are independent. If you have more than one output link, an input row may result in a data row being output from some, none, or all of the output links. For example, if you consider the data that comes from a paint shop, it could include information about any number of different colors. If you want to separate the colors into different files, you would set up different constraints. You could output the information about green and blue paint on LinkA, red and yellow paint on LinkB, and black paint on LinkC. When an input row contains information about yellow paint, the LinkA constraint expression evaluates to FALSE and the row is not output on LinkA. However, the input data does satisfy the constraint criterion for LinkB and the rows are output on LinkB. If the input data contains information about white paint, this does not satisfy any constraint and the data row is not output on Links A, B or C, but will be output on the reject link. The reject link is used to route data to a table or file that is a “catch-all” for rows that are not output on any other link. The table or file containing these rejects is represented by another stage in the job design. Before-Stage and After-Stage Routines

Because the Transformer stage is an active stage type, you can specify routines to be executed before or after the stage has processed the data. For example, you might use a before-stage routine to prepare the data before processing starts. You might use an afterstage routine to send an electronic message when the stage has finished. Specifying the Primary Input Link

The first link to a Transformer stage is always designated as the primary input link. However, you can choose an alternative link to be the primary link if necessary. To do this: 1. Select the current primary input link in the Diagram window. 2. Choose Convert to Reference from the Diagram window shortcut menu. 3. Select the reference link that you want to be the new primary input link. 4. Choose Convert to Stream from the Diagram window shortcut menu. ==

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AGGREGATOR Stage: Aggregator stages classify data rows from a single input link into groups and compute totals or other aggregate functions for each group. The summed totals for each group are output from the stage via an output link. If you want to aggregate the input data in a number of different ways, you can have several output links, each specifying a different set of properties to define how the input data is grouped and summarized. ==

FOLDER Stage: Folder stages are used to read or write data as files in a directory located on the DataStage server. The folder stages can read multiple files from a single directory and can deliver the files to the job as rows on an output link. The folder stage can also write rows of data as files to a directory. The rows arrive at the stage on an input link. Note: The behavior of the Folder stage when reading folders that contain other folders is undefined. In an NLS environment, the user running the job must have write permission on the folder so that the NLS map information can be set up correctly. Folder Stage Input Data

The properties are as follows: • Preserve CRLF. When Preserve CRLF is set to Yes field marks are not converted to newlines on write. It is set to Yes by default. The Columns tab defines the data arriving on the link to be written in files to the directory. The first column on the Columns tab must be defined as a key, and gives the name of the file. The remaining columns are written to the named file, each column separated by a newline. Data to be written to a directory would normally be delivered in a single column. Folder Stage Output Data

The properties are as follows: • Sort order. Choose from Ascending, Descending, or None. This specifies the order in which the files are read from the directory.

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• Wildcard. This allows for simple wildcarding of the names of the files found in the directory. Any occurrence of * (asterisk) or … (three periods) is treated as an instruction to match any or no characters. • Preserve CRLF. When Preserve CRLF is set to Yes newlines are not converted to field marks on read. It is set to Yes by default. • Fully qualified. Set this to yes to have the full path name of each file written in the key column instead of just the file name. The Columns tab defines a maximum of two columns. The first column must be marked as the Key and receives the file name. The second column, if present, receives the contents of the file. ==

IPC Stage: An inter-process (IPC) stage is a passive stage which provides a communication channel between DataStage processes running simultaneously in the same job. It allows you to design jobs that run on SMP systems with great performance benefits. To understand the benefits of using IPC stages, you need to know a bit about how DataStage jobs actually run as processes, see “DataStage Jobs and Processes”. The output link connecting IPC stage to the stage reading data can be opened as soon as the input link connected to the stage writing data has been opened. You can use Inter-process stages to join passive stages together. For example you could use them to speed up data transfer between two data sources:

In this example the job will run as two processes, one handling the communication from sequential file stage to IPC stage, and one handling communication from IPC stage to ODBC stage. As soon as the Sequential File stage has opened its output link, the IPC stage can start passing data to the ODBC stage. If the job is running on a multi processor system, the two processor can run simultaneously so the transfer will be much faster. Defining IPC Stage Properties The Properties tab allows you to specify two properties for the IPC stage: • Buffer Size. Defaults to 128 Kb. The IPC stage uses two blocks of memory; one block can be written to while the other is read from. This property defines the size of each block, so that by default 256 Kb is allocated in total. • Timeout. Defaults to 10 seconds. This gives time limit for how long the stage will wait for a process to connect to it before timing out. This normally will not need changing, but

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may be important where you are prototyping multi-processor jobs on single processor platforms and there are likely to be delays. ==

LINK PARTITIONER Stage: The Link Partitioner stage is an active stage which takes one input and allows you to distribute partitioned rows to up to 64 output links. The stage expects the output links to use the same meta data as the input link. Partitioning your data enables you to take advantage of a multi-processor system and have the data processed in parallel. It can be used in conjunction with the Link Collector stage to partition data, process it in parallel, then collect it together again before writing it to a single target. To really understand the benefits you need to know a bit about how DataStage jobs are run as processes, see “DataStage Jobs and Processes”.

In order for this job to compile and run as intended on a multi-processor system you must have inter-process buffering turned on, either at project level using the DataStage Administrator, or at job level from the Job Properties dialog box.

Before-Stage and After-Stage Subroutines The General tab on the Stage page contains optional fields that allow you to define routines to use which are executed before or after the stage has processed the data. • Before-stage subroutine and Input Value. Contain the name (and value) of a subroutine that is executed before the stage starts to process any data. For example, you can specify a routine that prepares the data before processing starts. • After-stage subroutine and Input Value. Contain the name (and value) of a subroutine that is executed after the stage has processed the data. For example, you can specify a routine that sends an electronic message when the stage has finished. Choose a routine from the drop-down list box. This list box contains all the routines defined as a Before/After Subroutine under the Routines branch in the Repository. Enter an appropriate value for the routine’s input argument in the Input Value field.

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If you choose a routine that is defined in the Repository, but which was edited but not compiled, a warning message reminds you to compile the routine when you close the Link Partitioner Stage dialog box. A return code of 0 from the routine indicates success, any other code indicates failure and causes a fatal error when the job is run. If you installed or imported a job, the Before-stage subroutine or Afterstage subroutine field may reference a routine that does not exist on your system. In this case, a warning message appears when you close the Link Partitioner Stage dialog box. You must install or import the “missing” routine or choose an alternative one to use.

Defining Link Partitioner Stage Properties The Properties tab allows you to specify two properties for the Link Partitioner stage: • Partitioning Algorithm. Use this property to specify the method the stage uses to partition data. Choose from:
Round-Robin. This is the default method. Using the round-robin method the stage will write each incoming row to one of its output links in turn.
Random. Using this method the stage will use a random number generator to distribute incoming rows evenly across all output links.
Hash. Using this method the stage applies a hash function to one or more input column values to determine which output link the row is passed to.
Modulus. Using this method the stage applies a modulus function to an integer input column value to determine which output link the row is passed to. •

Partitioning Key. This property is only significant where you have chosen a partitioning algorithm of Hash or Modulus. For the Hash algorithm, specify one or more column names separated by commas. These keys are concatenated and a hash function applied to determine the destination output link. For the Modulus algorithm, specify a single column name which identifies an integer numeric column. The value of this column value determines the destination output link.

Defining Link Partitioner Stage Input Data The Link Partitioner stage can have one input link. This is where the data to be partitioned arrives. The Inputs page has two tabs: General and Columns. • General. The General tab allows you to specify an optional description of the stage. • Columns. The Columns tab contains the column definitions for the data on the input link. This is normally populated by the meta data of the stage connecting on the input side. You can also Load a column definition from the Repository, or type one in yourself (and Save it to the Repository if required). Note that the meta data on the input link must be identical to the meta data on the output links.

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Defining Link Partitioner Stage Output Data The Link Partitioner stage can have up to 64 output links. Partitioned data flows along these links. The Output Name drop-down list on the Outputs pages allows you to select which of the 64 links you are looking at. The Outputs page has two tabs: General and Columns. • General. The General tab allows you to specify an optional description of the stage. • Columns. The Columns tab contains the column definitions for the data on the input link. You can Load a column definition from the Repository, or type one in yourself (and Save it to the Repository if required). Note that the meta data on the output link must be identical to the meta data on the input link. So the meta data is identical for all the output links. ==

LINK COLLECTOR Stage: The Link Collector stage is an active stage which takes up to 64 inputs and allows you to collect data from this links and route it along a single output link. The stage expects the output link to use the same meta data as the input links. The Link Collector stage can be used in conjunction with a Link Partitioner stage to enable you to take advantage of a multi-processor system and have data processed in parallel. The Link Partitioner stage partitions data, it is processed in parallel, then the Link Collector stage collects it together again before writing it to a single target. To really understand the benefits you need to know a bit about how DataStage jobs are run as processes, see “DataStage Jobs and Processes”.

In order for this job to compile and run as intended on a multi-processor system you must have inter-process buffering turned on, either at project level using the DataStage Administrator, or at job level from the Job Properties dialog box. The Properties tab allows you to specify two properties for the Link Collector stage: •

Collection Algorithm. Use this property to specify the method the stage uses to collect data. Choose from:

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•


Round-Robin. This is the default method. Using the round-robin method the stage will read a row from each input link in turn.
Sort/Merge. Using the sort/merge method the stage reads multiple sorted inputs and writes one sorted output. Sort Key. This property is only significant where you have chosen a collecting algorithm of Sort/Merge. It defines how each of the partitioned data sets are known to be sorted and how the merged output will be sorted. The key has the following format: Columnname {sortorder] [,Columnname [sortorder]]... Columnname specifies one (or more) columns to sort on. sortorder defines the sort order as follows:

In an NLS environment, the collate convention of the locale may affect the sort order. The default collate convention is set in the DataStage Administrator, but can be set for individual jobs in the Job Properties dialog box. Ascending Order A asc ascending A ASC ASCENDING

Descending Order d dsc descending D DSC DESCENDING

For example: FIRSTNAME d, SURNAME D Specifies that rows are sorted according to FIRSTNAME column and SURNAME column in descending order. The Link Collector stage can have up to 64 input links. This is where the data to be collected arrives. The Input Name drop-down list on the Inputs page allows you to select which of the 64 links you are looking at. The Link Collector stage can have a single output link.

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DATASTAGE TUTORIAL About DataStage DataStage is a tool set for designing, developing, and running applications that populate one or more tables in a data warehouse or data mart. It consists of client and server components.

Client Components DataStage Designer. A design interface used to create DataStage applications (known as jobs). Each job specifies the data sources, the transforms required, and the destination of the data. Jobs are compiled to create executables that are scheduled by the Director and run by the Server.

DataStage Director. A user interface used to validate, schedule, run, and monitor DataStage jobs.

DataStage Manager. A user interface used to view and edit the contents of the Repository.

DataStage Administrator A user interface used to configure DataStage

DataStage Manager Roles • •

Import table or stored procedure definitions Create table or stored procedure definitions, data elements, custom transforms, server job routines, mainframe routines, machine profiles, and plug-ins

There are also more specialized tasks that can only be performed from the DataStage Manager. These include: • • •

Perform usage analysis queries. Report on Repository contents. Importing, exporting and packaging DataStage jobs.

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Server Components There are three server components which are installed on a server: • • •

Repository. A central store that contains all the information required to build a data mart or data warehouse. DataStage Server. Runs executable jobs that extract, transform, and load data into a data warehouse. DataStage Package Installer. A user interface used to install packaged DataStage jobs and plug-ins.

DataStage Features Extracts data from any number or types of database Handles all the meta data definitions required to define your data warehouse. Aggregates data. You can modify SQL SELECT statements used to extract data. Transforms data. DataStage has a set of predefined transforms and functions you can use to convert your data. Loads the data warehouse

Types of jobs There are three basic types of DataStage job: •

•

•

Server jobs. These are compiled and run on the DataStage server. A server job will connect to databases on other machines as necessary, extract data, process it, then write the data to the target data warehouse. Parallel jobs. These are available only if you have Enterprise Edition installed. Parallel jobs are compiled and run on a DataStage UNIX server, and can be run in parallel on SMP, MPP, and cluster systems. Mainframe jobs. These are available only if you have Enterprise MVS Edition installed. A mainframe job is compiled and run on the mainframe. Data extracted by such jobs is then loaded into the data warehouse.

There are two other entities that are similar to jobs in the way they appear in the DataStage Designer, and are handled by it. These are: Shared containers. These are reusable job elements. They typically comprise a number of stages and links. Copies of shared containers can be used in any number of server jobs and edited as required. Email: [email protected]

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Job Sequences. A job sequence allows you to specify a sequence of DataStage jobs to be executed, and actions to take depending on results

DataStage NLS • • • •

Process data in a wide range of languages Accept data in any character set into most DataStage fields Use local formats for dates, times, and money (Server Jobs) Sort data according to local rules

JOB A job consists of stages linked together which describe the flow of data from a data source to a final data warehouse.

Built-In Stages – Server Jobs Aggregator. Aggregator stages are active stages that classify data rows from a single input link into groups and compute totals or other aggregate functions for each group. The summed totals for each group are output from the stage via an output link.

Hashed File. Extracts data from or loads data into databases that contain hashed files. Also acts as an intermediate stage for quick lookups. Hashed File stages represent a hashed file, i.e., a file that uses a hashing algorithm for distributing records in one or more groups on disk. You can use a Hashed File stage to extract or write data, or to act as an intermediate file in a job. The primary role of a Hashed File stage is as a reference table based on a single key field. Each Hashed File stage can have any number of inputs or outputs. Input links specify the data you are writing. Output links specify the data you are extracting.

UniVerse. •

Extracts data from or loads data into UniVerse databases.

UniData. •

Extracts data from or loads data into UniData databases.

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ODBC. Extracts data from or loads data into databases that support the industry standard Open Database Connectivity API. This stage is also used as an intermediate stage for aggregating data. ODBC stages are used to represent a database that supports the industry standard Open Database Connectivity API. You can use an ODBC stage to extract, write, or aggregate data. Each ODBC stage can have any number of inputs or outputs. Input links specify the data you are writing. Output links specify the data you are extracting and any aggregations required.

Sequential File. Extracts data from or loads data into "flat files" in the Windows NT file system. Sequential File stages are used to extract data from, or write data to, a text file in the server file system. The text file can be created or exist on any drive that is either local or mapped to the server. Each Sequential File stage can have any number of inputs or outputs.

Folder Stage. Folder stages are used to read or write data as files in a directory located on the DataStage server. Folder stages are used to read or write data as files in a directory. The folder stages can read multiple files from a single directory and can deliver the files to the job as rows on an output link. By default, the file content is delivered with newlines converted to char(254) field marks. The folder stage can also write rows of data as files to a directory. The rows arrive at the stage on an input link.

Transformer. Receives incoming data, transforms it in a variety of ways, and outputs it to another stage in the job. Transformer stages do not extract data or write data to a target database. They are used to handle extracted data, perform any conversions required, and pass data to another Transformer stage or a stage that writes data to a target data table.

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Transformer stages in server jobs can have any number of inputs and outputs. The link from the main data input source is designated the primary input link. There can only be one primary input link, but there can be any number of reference inputs.

Container. Represents a group of stages and links. The group is replaced by a single Container stage in the Diagram window.

IPC Stage. Provides a communication channel between DataStage processes running simultaneously in the same job. It allows you to design jobs that run on SMP systems with great performance benefits .An inter-process (IPC) stage is a passive stage which provides a communication channel between DataStage processes running simultaneously in the same job. It allows you to design jobs that run on SMP systems with great performance benefits. To understand the benefits of using IPC stages, you need to know a bit about how DataStage jobs actually run as processes, see Chapter 2 of the Server Job Developer's Guide for information. The output link connecting IPC stage to the stage reading data can be opened as soon as the input link connected to the stage writing data has been opened. You can use Inter-process stages to join passive stages together. For example you could use them to speed up data transfer between two data sources

Link Collector Stage. Takes up to 64 inputs and allows you to collect data from these links and route it along a single output link. The Link Collector stage is an active stage which takes up to 64 inputs and allows you to collect data from these links and route it along a single output link. The stage expects the output link to use the same meta data as the input links

Link Partitioner Stage. Takes one input and allows you to distribute partitioned rows to up to 64 output links. The Link Partitioner stage is an active stage which takes one input and allows you to distribute partitioned rows to up to 64 output links. The stage expects the output links to use the same meta data as the input link.

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•

Container Input and Container Output. Represent the interface that links a container stage to the rest of the job design.

Server Job Properties The Job Properties dialog box appears. The dialog box differs depending on whether it is a server job, a mainframe job, or a job sequence. A server job has up to six pages: General, Parameters, Job control, NLS, Performance, and Dependencies. Note that the NLS page is not available if you open the dialog box from the Manager, even if you have NLS installed.

Containers A container is a group of stages and links. Containers enable you to simplify and modularize your server job designs by replacing complex areas of the diagram with a single container stage. You can also use shared containers as a way of incorporating server job functionality into parallel jobs. DataStage provides two types of container:

Local containers. •

These are created within a job and are only accessible by that job. A local container is edited in a tabbed page of the job’s Diagram window.

Shared containers. •

These are created separately and are stored in the Repository in the same way that jobs are. There are two types of shared container:

Job Sequences DataStage provides a graphical Job Sequencer which allows you to specify a sequence of server or parallel jobs to run. The sequence can also contain control information, for example, you can specify different courses of action to take depending on whether a job in the sequence succeeds or fails. Once you have defined a job sequence, it can be scheduled and run using the DataStage Director. It appears in the DataStage Repository and in the DataStage Director client as a job.

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LEARN FEATURES OF DATASTAGE DATASTAGE: DataStage has the following features to aid the design and processing required to build a data warehouse: Uses graphical design tools. With simple point-and-click techniques you can draw a scheme to represent your processing requirements. Extracts data from any number or type of database. Handles all the metadata definitions required to define your data warehouse. You can view and modify the table definitions at any point during the design of your application. Aggregates data. You can modify SQL SELECT statements used to extract data. Transforms data. DataStage has a set of predefined transforms and functions you can use to convert your data. You can easily extend the functionality by defining your own transforms to use. Loads the data warehouse. COMPONENTS OF DATASTAGE: DataStage consists of a number of client and server components. DataStage has four client components 1. DataStage Designer. A design interface used to create DataStage applications (known as jobs). Each job specifies the data sources, the transforms required, and the destination of the data. Jobs are compiled to create executables that are scheduled by the Director and run by the Server (mainframe jobs are transferred and run on the mainframe). 2. DataStage Director. A user interface used to validate, schedule, run, and monitor DataStage server jobs and parallel jobs. 3. DataStage Manager. A user interface used to view and edit the contents of the Repository. 4. DataStage Administrator. A user interface used to perform administration tasks such as setting up DataStage users, creating and moving projects, and setting up purging criteria.

SERVER COMPONENTS: There are three server components: 1. Repository. A central store that contains all the information required to build a data mart or data warehouse. 2. DataStage Server. Runs executable jobs that extract, transform, and load data into a data warehouse. 3. DataStage Package Installer. A user interface used to install packaged DataStage jobs and plug-ins.

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DATASTAGE PROJECTS: You always enter DataStage through a DataStage project. When you start a DataStage client you are prompted to attach to a project. Each project contains: • DataStage jobs. • Built-in components. These are predefined components used in a job. • User-defined components. These are customized components created using the DataStage Manager. Each user-defined component performs a specific task in a job.

DATASTAGE JOBS: There are three basic types of DataStage job: 1. Server jobs. These are compiled and run on the DataStage server. A server job will connect to databases on other machines as necessary, extract data, process it, then write the data to the target datawarehouse. 2. Parallel jobs. These are compiled and run on the DataStage server in a similar way to server jobs, but support parallel processing on SMP, MPP, and cluster systems. 3. Mainframe jobs. These are available only if you have Enterprise MVS Edition installed. A mainframe job is compiled and run on the mainframe. Data extracted by such jobs is then loaded into the data warehouse. SPECIAL ENTITIES: • •

Shared containers. These are reusable job elements. They typically comprise a number of stages and links. Copies of shared containers can be used in any number of server jobs or parallel jobs and edited as required. Job Sequences. A job sequence allows you to specify a sequence of DataStage jobs to be executed, and actions to take depending on results.

TYPES OF STAGES:

• Built-in stages. Supplied with DataStage and used for extracting aggregating, transforming, or writing data. All types of job have these stages. • •

Plug-in stages. Additional stages that can be installed in DataStage to perform specialized tasks that the built-in stages do not support Server jobs and parallel jobs can make use of these. Job Sequence Stages. Special built-in stages which allow you to define sequences of activities to run. Only Job Sequences have these.

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DATASTAGE NLS: DataStage has built-in National Language Support (NLS). With NLS installed, DataStage can do the following: • Process data in a wide range of languages • Accept data in any character set into most DataStage fields • Use local formats for dates, times, and money (server jobs) • Sort data according to local rules To load a data mart or data warehouse, you must do the following: • Set up your project • Create a job • Develop the job • Edit the stages in the job • Compile the job • Run the job

SETTING UP YOUR PROJECT: Before you create any DataStage jobs, you must set up your project by entering information about your data. This includes the name and location of the tables or files holding your data and a definition of the columns they contain. Information is stored in table definitions in the Repository.

STARTING THE DATASTAGE DESIGNER: To start the DataStage Designer, choose Start → Programs → Ascential DataStage → DataStage Designer. The Attach to Project dialog box appears:

TO CONNECT TO A PROJECT: 1. Enter the name of your host in the Host system field. This is the name of the system where the DataStage Server components are installed.

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2. Enter your user name in the User name field. This is your user name on the server system. 3. Enter your password in the Password field. 4. Choose the project to connect to from the Project drop-down list box. 5. Click OK. The DataStage Designer window appears with the New dialog box open, ready for you to create a new job:

CREATING A JOB: Jobs are created using the DataStage Designer. For this example, you need to create a server job, so double-click the New Server Job icon.

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Choose File → Save to save the job. The Create new job dialog box appears:

DEFINING TABLE DEFINITIONS:

For most data sources, the quickest and simplest way to specify a table definition is to import it directly from your data source or data warehouse. IMPORTING TABLE DEFINITIONS:

1. In the Repository window of the DataStage Designer, select the Table Definitions branch, and choose Import   Table Definitions… from the shortcut menu. The Import Metadata (ODBC Tables) dialog box appears:

2. Choose data Source Name from the DSN drop-down list box. 3. Click OK. The updated Import Metadata ( ODBC Tables) dialog box displays all the files for the chosen data source name:

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4. Select project.EXAMPLE1 from the Tables list box, where project is the name of your DataStage project. 5. Click OK. The column information from EXAMPLE1 is imported into DataStage. 6. A table definition is created and is stored under the Table Definitions → ODBC → DSNNAME branch in the Repository. The updated DataStage Designer window displays the new table definition entry in the Repository window.

DEVELOPING A JOB: Jobs are designed and developed using the Designer. The job design is developed in the Diagram window (the one with grid lines). Each data source, the data warehouse, and each processing step is represented by a stage in the job design. The stages are linked together to show the flow of data. For Example we can develop a job with the following three stages: A Universe stage to represent EXAMPLE1 (the data source). • A Transformer stage to convert the data in the DATE column from an YYYY-MM-DD date in internal date format to a string giving just year and month (YYYY-MM). • A Sequential File stage to represent the file created at run time (the data warehouse in this example). Adding Stages: Stages are added using the tool palette. This palette contains icons that represent the components you can add to a job. The palette has different groups to organize the tools available.

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To add a stage: 1. Click the stage button on the tool palette that represents the stage type you want to add. 2. Click in the Diagram window where you want the stage to be positioned. The stage appears in the Diagram window as a square. You can also drag items from the palette to the Diagram window. We recommend that you position your stages as follows: Data sources on the left Data warehouse on the right Transformer stage in the center When you add stages, they are automatically assigned default names. These names are based on the type of stage and the number of the item in the Diagram window. You can use the default names in the example. Once all the stages are in place, you can link them together to show the flow of data. Linking Stages You need to add two links: • One between the Universe and Transformer stages • One between the Transformer and Sequential File stages Links are always made in the direction the data will flow, that is, usually left to right. When you add links, they are assigned default names. You can use the default names in the example. To add a link: 1. Right-click the first stage, hold the mouse button down and drag the link to the transformer stage. Release the mouse button. 2. Right-click the Transformer stage and drag the link to the Sequential File stage. The following screen shows how the Diagram window looks when you have added the stages and links:

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Editing the Stages Your job design currently displays the stages and the links between them. You must edit each stage in the job to specify the data to use and what to do with it. Stages are edited in the job design by double-clicking each stage in turn. Each stage type has its own editor. Editing the UniVerse Stage The data source (EXAMPLE1) is represented by a UniVerse stage. You must specify the data you want to extract from this file by editing the stage. Double-click the stage to edit it. The UniVerse Stage dialog box appears:

This dialog box has two pages: • Stage. Displayed by default. This page contains the name of the stage you are editing. The General tab specifies where the file is found and the connection type. • Outputs. Contains information describing the data flowing from the stage. You edit this page to describe the data you want to extract from the file. In this example, the output from this stage goes to the Transformer stage. To edit the Universe stage: 1. Check that you are displaying the General tab on the Stage page. Choose localuv from the Data source name drop-down list. Localuv is where EXAMPLE1 is copied to during installation. Email: [email protected]

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The remaining parameters on the General and Details tabs are used to enter logon details and describe where to find the file. Because EXAMPLE1 is installed in localuv, you do not have to complete these fields, which are disabled. 2. Click the Outputs tab. The Outputs page appears:

The Outputs page contains the name of the link the data flows along and the following four tabs: • General. Contains the name of the table to use and an optional description of the link. • Columns. Contains information about the columns in the table. • Selection. Used to enter an optional SQL SELECT clause (an Advanced procedure). • View SQL. Displays the SQL SELECT statement used to extract the data. 3. Choose dstage.EXAMPLE1 from the Available tables drop-down list. 4. Click Add to add dstage.EXAMPLE1 to the Table names field. 5. Click the Columns tab. The Columns tab appears at the front of the dialog box. You must specify the columns contained in the file you want to use. Because the column definitions are stored in a table definition in the Repository, you can load them directly. 6. Click Load…. The Table Definitions window appears with then UniVerse  localuv branch highlighted. 7. Select dstage.EXAMPLE1. The Select Columns dialog box appears, allowing you to select which column definitions you want to load. 8. In this case you want to load all available columns definitions, so just click OK. The column definitions specified in the table definition are copied to the stage. The Columns tab contains definitions for the four columns in EXAMPLE1:

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9. You can use the Data Browser to view the actual data that is to be output from the UniVerse stage. Click the View Data… button to open the Data Browser window.

11. Choose File → Save to save your job design so far. Editing the Transformer Stage The Transformer stage performs any data conversion required before the data is output to another stage in the job design. In this example, the Transformer stage is used to convert the data in the DATE column from an YYYYMM-DD date in internal date format to a string giving just the year and month (YYYY-MM). There are two links in the stage: • The input from the data source (EXAMPLE1) • The output to the Sequential File stage To enable the use of one of the built-in DataStage transforms, you will assign data elements to the DATE columns input and output from the Transformer stage. A Email: [email protected]

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DataStage data element defines more precisely the kind of data that can appear in a given column. In this example, you assign the Date data element to the input column, to specify the date is input to the transform in internal format, and the MONTH.TAG data element to the output column, to specify that the transform produces a string of the format YYYYMM. Double-click the Transformer stage to edit it. The Transformer Editor appears:

1. Working in the upper-left pane of the Transformer Editor, select the input columns that you want to derive output columns from. Click on the CODE, DATE, and QTY columns while holding down the Ctrl key. 2. Click the left mouse button again and, keeping it held down, drag the selected columns to the output link in the upper-right pane. Drop the columns over the Column Name field by releasing the mouse button. The columns appear in the top pane and the associated metadata appears in the lower-right pane:

3. In the Data element field for the DSLink3.DATE column, select Date from the dropdown list. 4. In the SQL type field for the DSLink4 DATE column, select Char from the dropdown list. 5. In the Length field or the DSLink4 DATE column, enter 7. 6. In the Data element field for the DSLink4 DATE column, select MONTH.TAG from the drop-down list. Next you will specify the transform to apply to the input DATE column to produce the output DATE column. You do this in the upper right pane of the Transformer Editor. 7. Double-click the Derivation field for the DSLink4 DATE column. The Expression Editor box appears. At the moment, the box contains the text DSLink3.DATE, which

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indicates that the output is directly derived from the input DATE column. Select the text DSLink3 and delete it by pressing the Delete key.

10. Select the MONTH.TAG transform. It appears in the Expression Editor box with the argument field [%Arg1%] highlighted. 11. Right-click to open the Suggest Operand menu again. This time, select Input Column. A list of available input columns appears:

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12. Select DSLink3.DATE. This then becomes the argument for the transform. 13. Click OK to save the changes and exit the Transformer Editor. Once more the small icon appears on the output link from the transformer stage to indicate that the link now has column definitions associated with it. Editing the Sequential File Stage The data warehouse is represented by a Sequential File stage. The data to be written to the data warehouse is already specified in the Transformer stage. However, you must enter the name of a file to which the data is written when the job runs. If the file does not exist, it is created. Double-click the stage to edit it. The Sequential File Stage dialog box appears:

This dialog box has two pages: • Stage. Displayed by default. This page contains the name of the stage you are editing and two tabs. The General tab specifies the line termination type, and the NLS tab specifies a character set map to use with the stage (this appears if you have NLS installed). • Inputs. Describes the data flowing into the stage. This page only appears when you have an input to a Sequential File stage. You do not need to edit the column definitions on this page, because they were all specified in the Transformer stage.

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To edit the Sequential File stage: 1. Click the Inputs tab. The Inputs page appears. This page contains: • The name of the link. This is automatically set to the link name used in the job design. • General tab. Contains the pathname of the file, an optional description of the link, and update action choices. You can use the default settings for this example, but you may want to enter a file name (by default the file is named after the input link). • Format tab. Determines how the data is written to the file. In this example, the data is written using the default settings that is, as a comma-delimited file. • Columns tab. Contains the column definitions for the data you want to extract. This tab contains the column definitions specified in the Transformer stage’s output link. 2. Enter the pathname of the text file you want to create in the File name field, for example, seqfile.txt. By default the file is placed in the server project directory (for example, c:\Ascential\DataStage\Projects\datastage) and is named after the input link, but you can enter, or browse for, a different directory. 3. Click OK to close the Sequential File Stage dialog box. 4. Choose File  Save to save the job design. The job design is now complete and ready to be compiled. Compiling a Job When you finish your design you must compile it to create an executable job. Jobs are compiled using the Designer. To compile the job, do one of the following: • Choose File → Compile. • Click the Compile button on the toolbar. The Compile Job window appears:

Running a Job Executable jobs are scheduled by the DataStage Director and run by the DataStage Server. You can start the Director from the Designer by choosing Tools → Run Director.

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When the Director is started, the DataStage Director window appears with the status of all the jobs in your project:

Highlight your job in the Job name column. To run the job, choose Job → Run Now or click the Run button on the toolbar. The Job Run Options dialog box appears and allows you to specify any parameter values and to specify any job run limits. In this case, just click Run. The status changes to Running. When the job is complete, the status changes to Finished. Choose File → Exit to close the DataStage Director window. Developing a Job The DataStage Designer is used to create and develop DataStage jobs. A DataStage job populates one or more tables in the target database. There is no limit to the number of jobs you can create in a DataStage project. A job design contains: • Stages to represent the processing steps required • Links between the stages to represent the flow of data There are three different types of job in DataStage: • Server jobs. These are available if you have installed Server. They run on the DataStage Server, connecting to other data sources as necessary. • Mainframe jobs. These are available only if you have installed Enterprise MVS Edition. Mainframe jobs are uploaded to a mainframe, where they are compiled and run. • Parallel jobs. These are available only if you have installed the Enterprise Edition. These run on DataStage servers that are SMP, MPP, or cluster systems. There are two other entities that are similar to jobs in the way they appear in the DataStage Designer, and are handled by it. These are: • Shared containers. These are reusable job elements. They typically comprise a number of stages and links. Copies of shared containers can be used in any number of server jobs and parallel jobs and edited as required. • Job Sequences. A job sequence allows you to specify a sequence of DataStage server or parallel jobs to be executed, and actions to take depending on results.

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STAGES: A job consists of stages linked together which describe the flow of data from a data source to a data target (for example, a final data warehouse). A stage usually has at least one data input and/or one data output. However, some stages can accept more than one data input, and output to more than one stage. The different types of job have different stage types. The stages that are available in the DataStage Designer depend on the type of job that is currently open in the Designer. Server Job Stages DataStage offers several built-in stage types for use in server jobs. These are used to represent data sources, data targets, or conversion stages. These stages are either passive or active stages. A passive stage handles access to databases for the extraction or writing of data. Active stages model the flow of data and provide mechanisms for combining data streams, aggregating data, and converting data from one data type to another. As well as using the built-in stage types, you can also use plug-in stages for specific operations that the built-in stages do not support. The Palette organizes stage types into different groups, according to function: • Database • File • PlugIn • Processing • Real Time

Stages and links can be grouped in a shared container. Instances of the shared container can then be reused in different server jobs. You can also define a local container within a job, this groups stages and links into a single unit, but can only be used within the job in which it is defined. Each stage type has a set of predefined and editable properties. These properties are viewed or edited using stage editors. At this point in your job development you need to decide which stage types to use in your job design. The following built-in stage types are available for server jobs:

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Mainframe Job Stages DataStage offers several built-in stage types for use in mainframe jobs. These are used to represent data sources, data targets, or conversion stages. The Palette organizes stage types into different groups, according to function: • Database • File • Processing Each stage type has a set of predefined and editable properties. Some stages can be used as data sources and some as data targets. Some can be used as both. Processing stages read data from a source, process it andwrite it to a data target target. These properties are viewed or edited usingstage editors. A stage editor exists for each stage type and At this point in your job development you need to decide which stage types to use in your job design.

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`

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Parallel jobs Processing Stages

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SERVER JOBS: When you design a job you see it in terms of stages and links. When it is compiled, the DataStage engine sees it in terms of processes that are subsequently run on the server. How does the DataStage engine define a process? It is here that the distinction between active and passive stages becomes important. Actives stages, such as the Transformer and Aggregator perform processing tasks, while passive stages, such as Sequential file stage and ODBC stage, are reading or writing data sources and provide services to the active stages. At its simplest, active stages become processes. But the situation becomes more complicated where you connect active stages together and passive stages together.

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Single Processor and Multi-Processor Systems The default behavior when compiling DataStage jobs is to run all adjacent active stages in a single process. This makes good sense when you are running the job on a single processor system. When you are running on a multi-processor system it is better to run each active stage in a separate process so the processes can be distributed among available processors and run in parallel. The enhancements to server jobs at Release 6 of DataStage make it possible for you to stipulate at design time that jobs should be compiled in this way. There are two ways of doing this: • Explicitly – by inserting IPC stages between connected active stages. • Implicitly – by turning on inter-process row buffering either project wide (using the DataStage Administrator) or for individual jobs (in the Job Properties dialog box) The IPC facility can also be used to produce multiple processes where passive stages are directly connected. This means that an operation reading from one data source and writing to another could be divided into a reading process and a writing process able to take advantage of multiprocessor systems.

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Partitioning and Collecting With the introduction of the enhanced multi-processor support at Release6, there are opportunities to further enhance the performance of server jobs by partitioning data. The Link Partitioner stage allows you to partition data you are reading so it can be processed by individual processors running on multiple processors. The Link Collector stage allows you to collect partitioned data together again for writing to a single data target. The following diagram illustrates how you might use the Link Partitioner and Link Collector stages within a job. Both stages are active, and you should turn on inter-process row buffering at project or job level in order to implement process boundaries.

Aggregator Stages Aggregator stages classify data rows from a single input link into groups and compute totals or other aggregate functions for each group. The summed totals for each group are output from the stage via an output link. Using an Aggregator Stage

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If you want to aggregate the input data in a number of different ways, you can have several output links, each specifying a different set of properties to define how the input data is grouped and summarized. When you edit an Aggregator stage, the Aggregator Stage dialog box appears:

This dialog box has three pages: • Stage. Displays the name of the stage you are editing. This page has a General tab which contains an optional description of the stage and names of before- and after-stage routines • Inputs. Specifies the column definitions for the data input link. • Outputs. Specifies the column definitions for the data output link. Defining Aggregator Input Data Data to be aggregated is passed from a previous stage in the job design and into the Aggregator stage via a single input link. The properties of this link and the column definitions of the data are defined on the Inputs page in the Aggregator Stage dialog box.

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The Inputs page has the following field and two tabs: • Input name. The name of the input link to the Aggregator stage. • General. Displayed by default. Contains an optional description of the link. • Columns. Contains a grid displaying the column definitions for the data being written to the stage, and an optional sort order. Column name: The name of the column. Sort Order: Specifies the sort order. This field is blank by default, that is, there is no sort order. Choose Ascending for ascending order, Descending for descending order, or Ignore if you do not want the order to be checked. Key: Indicates whether the column is part of the primary key. SQL type: The SQL data type. Length: The data precision. This is the length for CHAR data and the maximum length for VARCHAR data. Scale: The data scale factor. Nullable: Specifies whether the column can contain null values. Display: The maximum number of characters required to display the column data. Data element: The type of data in the column. Description: A text description of the column. Defining Aggregator Output Data When you output data from an Aggregator stage, the properties of output links and the column definitions of the data are defined on the Outputs page in the Aggregator Stage dialog box.

The Outputs page has the following field and two tabs: • Output name. The name of the output link. Choose the link to edit from the Output name drop-down list box. This list box displays all the output links from the stage. • General. Displayed by default. Contains an optional description of the link. • Columns. Contains a grid displaying the column definitions for the data being output from the stage. The grid has the following columns: Column name. The name of the column. Group. Specifies whether to group by the data in the column.

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Derivation. Contains an expression specifying how the data is aggregated. This is a complex cell, requiring more than one piece of information. Double-clicking the cell opens the Derivation Transformer Stages Transformer stages do not extract data or write data to a target database. They are used to handle extracted data, perform any conversions required, and pass data to another Transformer stage or a stage that writes data to a target data table. Using a Transformer Stage Transformer stages can have any number of inputs and outputs. The link from the main data input source is designated the primary input link. There can only be one primary input link, but there can be any number of reference inputs. When you edit a Transformer stage, the Transformer Editor appears. An example Transformer stage is shown below. In this example, metadata has been defined for the input and the output links.

Link Area The top area displays links to and from the Transformer stage, showing their columns and the relationships between them. The link area is where all column definitions, key expressions, and stage variables are defined. The link area is divided into two panes; you can drag the splitter bar between them to resize the panes relative to one another. There is also a horizontal scroll bar, allowing you to scroll the view left or right. The left pane shows input links, the right pane shows output links. The input link shown at the top of the left pane is always the primary link. Any subsequent links are reference links. For all types of link, key fields are shown in bold. Reference link key fields that have no expression defined are shown in red (or the color defined in Tools ‰ Options), as are output columns that have no derivation defined.

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Within the Transformer Editor, a single link may be selected at any one time. When selected, the link’s title bar is highlighted, and arrowheads indicate any selected columns. Metadata Area The bottom area shows the column metadata for input and output links. Again this area is divided into two panes: the left showing input link metadata and the right showing output link metadata. The metadata for each link is shown in a grid contained within a tabbed page. Click the tab to bring the required link to the front. That link is also selected in the link area. If you select a link in the link area, its metadata tab is brought to the front automatically. You can edit the grids to change the column metadata on any of the links. You can also add and delete metadata. Input Links The main data source is joined to the Transformer stage via the primary link, but the stage can also have any number of reference input links. A reference link represents a table lookup. These are used to provide information that might affect the way the data is changed, but do not supply the actual data to be changed. Reference input columns can be designated as key fields. You can specify key expressions that are used to evaluate the key fields. The most common use for the key expression is to specify an equi-join, which is a link between a primary link column and a reference link column. For example, if your primary input data contains names and addresses, and a reference input contains names and phone numbers, the reference link name column is marked as a key field and the key expression refers to the primary link’s name column. During processing, the name in the primary input is looked up in the reference input. If the names match, the reference data is consolidated with the primary data. If the names do not match, i.e., there is no record in the reference input whose key matches the expression given, all the columns specified for the reference input are set to the null value. Output Links You can have any number of output links from your Transformer stage. You may want to pass some data straight through the Transformer stage unaltered, but it’s likely that you’ll want to transform data from some input columns before outputting it from the Transformer stage. You can specify such an operation by entering a BASIC expression or by selecting a transform to apply to the data. DataStage has many built-in transforms, or you can define your own custom transforms that are stored in the Repository and can be reused as required. The source of an output link column is defined in that column’s Derivation cell within the Transformer Editor. You can use the Expression Editor to enter expressions or transforms in this cell. You can also simply drag an input column to an output column’s Derivation cell, to pass the data straight through the Transformer

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stage. In addition to specifying derivation details for individual output columns, you can also specify constraints that operate on entire output links. A constraint is a BASIC expression that specifies criteria that data must meet before it can be passed to the output link. You can also specify a reject link, which is an output link that carries all the data not output on other links, that is, columns that have not met the criteria. Each output link is processed in turn. If the constraint expression evaluates to TRUE for an input row, the data row is output on that link. Conversely, if a constraint expression evaluates to FALSE for an input row, the data row is not output on that link. Constraint expressions on different links are independent. If you have more than one output link, an input row may result in a data row being output from some, none, or all of the output links. For example, if you consider the data that comes from a paint shop, it could include information about any number of different colors. If you want to separate the colors into different files, you would set up different constraints. You could output the information about green and blue paint on Link A, red and yellow paint on Link B, and black paint on Link C. When an input row contains information about yellow paint, the Link A constraint expression evaluates to FALSE and the row is not output on Link A. However, the input data does satisfy the constraint criterion for Link B and the rows are output on Link B. If the input data contains information about white paint, this does not satisfy any constraint and the data row is not output on Links A, B or C, but will be output on the reject link. The reject link is used to route data to a table or file that is a “catch-all” for rows that are not output on any other link. The table or file containing these rejects is represented by another stage in the job design. Inter-Process Stages An inter-process (IPC) stage is a passive stage which provides a communication channel between DataStage processes running simultaneously in the same job. It allows you to design jobs that run on SMP systems with great performance benefits. To understand the benefits of using IPC stages, you need to know a bit about how DataStage jobs actually run as processes,

In this example the job will run as two processes, one handling the communication from sequential file stage to IPC stage, and one handling communication from IPC stage to ODBC stage. As soon as the Sequential File stage has opened its output link, the IPC stage can start passing data to the ODBC stage. If the job is running on a multi-processor system, the two processor can run simultaneously so the transfer will be much faster. You can also use the IPC stage to explicitly specify that connected active stages should run as

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separate processes. This is advantageous for performance on multi-processor systems. You can also specify this behavior implicitly by turning inter process row buffering on, either for the whole project via DataStage Administrator, or individually for a job in its Job Properties dialog box.

Using the IPC Stage When you edit an IPC stage, the InterProcess Stage dialog box appears.

This dialog box has three pages: • Stage. The Stage page has two tabs, General and Properties. The General page allows you to specify an optional description of the page. The Properties tab allows you to specify stage properties.

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• Inputs. The IPC stage can only have one input link. the Inputs page displays information about that link. • Outputs. The IPC stage can only have one output link. The Outputs page displays information about that link. Defining IPC Stage Properties The Properties tab allows you to specify two properties for the IPC stage: • Buffer Size. Defaults to 128 Kb. The IPC stage uses two blocks of memory; one block can be written to while the other is read from. This property defines the size of each block, so that by default 256 Kb is allocated in total. • Timeout. Defaults to 10 seconds. This gives time limit for how long the stage will wait for a process to connect to it before timing out. This normally will not need changing, but may be important where you are prototyping multi-processor jobs on single processor platforms and there are likely to be delays. Defining IPC Stage Input Data The IPC stage can have one input link. This is where the process that is writing connects. The Inputs page has two tabs: General and Columns. • General. The General tab allows you to specify an optional description of the stage. • Columns. The Columns tab contains the column definitions for the data on the input link. This is normally populated by the metadata of the stage connecting on the input side. You can also Load a column definition from the Repository, or type one in yourself (and Save it to the Repository if required). Note that the metadata on the input link must be identical to the metadata on the output link. Defining IPC Stage Output Data The IPC stage can have one output link. This is where the process that is reading connects. The Outputs page has two tabs: General and Columns. • General. The General tab allows you to specify an optional description of the stage. • Columns. The Columns tab contains the column definitions for the data on the input link. This is normally populated by the metadata of the stage connecting on the input side. You can also Load a column definition from the Repository, or type one in yourself (and Save it to the Repository if required). Note that the metadata on the output link must be identical to the metadata on the input link.

Link Partitioner Stage: The Link Partitioner stage is an active stage which takes one input and allows you to distribute partitioned rows to up to 64 output links. The stage expects the output links to

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use the same metadata as the input link. Partitioning your data enables you to take advantage of a multi-processor system and have the data processed in parallel. It can be used in conjunction with the Link Collector stage to partition data, process it in parallel, and then collect it together again before writing it to a single target.

In order for this job to compile and run as intended on a multi-processor system you must have inter-process buffering turned on, either at project level using the DataStage Administrator, or at job level from the Job Properties dialog box. Defining Link Partitioner Stage Properties The Properties tab allows you to specify two properties for the Link Partitioner stage: • Partitioning Algorithm. Use this property to specify the method the stage uses to partition data. Choose from: – Round-Robin. This is the default method. Using the round-robin method the stage will write each incoming row to one of its output links in turn. – Random. Using this method the stage will use a random number generator to distribute incoming rows evenly across all output links. – Hash. Using this method the stage applies a hash function to one or more input column values to determine which output link the row is passed to. – Modulus. Using this method the stage applies a modulus function to an integer input column value to determine which output link the row is passed to. • Partitioning Key. This property is only significant where you have chosen a partitioning algorithm of Hash or Modulus. For the Hash algorithm, specify one or more column names separated by commas. These keys are concatenated and a hash function applied to determine the destination output link. For the Modulus algorithm, specify a single column name which identifies an integer numeric column. The value of this column value determines the destination output link. Link Collector Stages The Link Collector stage is an active stage which takes up to 64 inputs and allows you to collect data from this links and route it along a single output link. The stage expects the

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output link to use the same metadata as the input links. The Link Collector stage can be used in conjunction with a Link Partitioner stage to enable you to take advantage of a multi-processor system and have data processed in parallel. The Link Partitioner stage partitions data, it is processed in parallel, then the Link Collector stage collects it together again before writing it to a single target. The following diagram illustrates how the Link Collector stage can be used in a job in this way.

In order for this job to compile and run as intended on a multi-processor system you must have inter-process buffering turned on, either at project level using the Data Stage Administrator, or at job level from the Job Properties dialog box.

Defining Link Collector Stage Properties The Properties tab allows you to specify two properties for the Link Collector stage: • Collection Algorithm. Use this property to specify the method the stage uses to collect data. Choose from: – Round-Robin. This is the default method. Using the round-robin method the stage will read a row from each input link in turn. – Sort/Merge. Using the sort/merge method the stage reads multiple sorted inputs and writes one sorted output. • Sort Key. This property is only significant where you have chosen a collecting algorithm of Sort/Merge. It defines how each of the partitioned data sets are known to be sorted and how the merged output will be sorted. The key has the following format: Column name {sort order] [,Column name [sort order]]...

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PERFORMANCE TUNING IN PARALLEL ENVIRONMENTS

Any given system can be tuned to favor one application so much that it actually negatively impacts the performance of other applications. This phenomenon is exacerbated as we introduce parallel capabilities into the system.

Many factors affect the performance of an application RDBMS configuration and performance Memory vs. System Working Set Size CPU's vs. System Load Data input/output throughput Rates Amdahl’s law (an application is gated by it’s slowest

component).

Best Practices:













Establish baselines (especially with I/O), use copy with no output Avoid the use of only one flow for tuning/performance testing. Prototyping can be a powerful tool. Work in increments...change 1 thing at a time. Evaluate data skew: repartition to balance the data flow Isolate and Solve - determine which stage is causing a problem. distribute file systems (if possible) to eliminate bottlenecks Do NOT involve the RDBMS in initial testing. (See above) Understand and evaluate the tuning knobs available

Establishing a baseline:

Set up at least 3 configurations: sequential; max parallel; ½ max parallel

Use real data if possible, else use table definition

Create or generate a dataset with 2-3 times available RAM (limit test to 10-15 mins)

Using sequential configuration file:
Read dataset to copy (copy –f)
Rerun and watch for caching
Add a write to dataset
Run a read/sort/copy test (use a relatively random key for sort)

Using ½ max parallel configuration file
Create a non-skewed dataset
Rerun tests above
“tune” the configuration to obtain a linear application speed-up  Review the entire I/O system  Review the configuration file to spread I/O activity

Using max parallel configuration
Create a non-skewed dataset

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Rerun tests above
Stress the system, looking for areas of contention

Buffering (Enterprise Edition and Server)

Facility added behind the scenes to optimize and regulate data flow. It’s primary purpose is to match the rate data produced upstream with the rate it is consumed downstream. (see next slide)



Partitioning/Sorting (Enterprise Edition)

Operations added behind the scenes to alleviate the need for a developer to worry about this while assuring that the flow operates correctly. (APT_NO_PART_INSERTION & APT_NO_SORT_INSERTION)



Operator Combination (Enterprise Edition)

Operations combined behind the scenes to improve performance. APT_DISABLE_COMBINATION

Controlling the Buffers in DataStage Enterprise Edition APT_BUFFER_MAXIMUM_TIMEOUT – set to 1 for pre V7

Controls the speed of data flow after buffering APT_BUFFER_MAXIMUM_MEMORY – default is 3M

Increase for large memory configurations to avoid buffering to disk APT_BUFFER_DISK_WRITE_INCREMENT – default is 1M

Increase to create larger bursts of I/O during buffering to disk APT_BUFFER_FREE_RUN – default is N * APT_BUFFER_MAXIMUM_MEMORY

increase to reduce data flow impedance for large memory configurations Controlling the Buffers in DataStage Server Set BUFFERSIZE and TIMEOUT for intra/inter-partitioning – default is 128K

Set for project in administrator or in job properties for a particular job Evaluating performance with Enterprise Edition

APT_DUMP_SCORE

used to understand the details of a data flow. APT_PM_PLAYER_TIMING

Used to understand the CPU characteristics of a data flow APT_RECORD_COUNTS

Used to check for data skew across data partitions

Evaluating performance with Server Performance statistics – enabled in the “Tracing” panel of the “Job run options” presented when a server job is run (Director or Designer)

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The Configuration File Tells DataStage how to exploit the underlying computer hardware. For any given system there is not one ideal config file since in a given job there is a lot of variance about how they work on that system. General hints: (assumes SMP environment)

avoid using the disk that are used for ‘landing’ input and output data for scratch and resource disk

Do not use NFS or other remotely mounted disk for scratch disk

Understand the file system underneath the mount points being used by the configuration file

Separate the I/O between nodes as much as possible to provide the maximum I/O bandwidth

Run your application using various configurations to understand it’s complexion during volume testing before moving to production.

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INFORMATICA vs DATASTAGE Features

Informatica

DataStage

System Requirement - Platform Support

Win NT/UNIX

Win NT/UNIX/More Platforms

Yes, My experience has been that INFA is definitely easier to implement initially and upgrade.

No, Ascential has done a good job in recent releases.

58

28, DS has many more canned transformation functions than 28. Does not support

Deployment Facility - Ability to handle initial deployment, major releases, minor releases and patches with equal ease

Transformations - No of available transformation functions

- Support for looping the source row (For While Loop) - Slowly Changing Dimension

Supports for comparing immediate previous record Full history, recent values, Current & Prev values

- Time Dimension generation - Rejected Records

Does not support. Can be captured

- Debugging Facility

Not Supported.

Application Integration Functionality - Support for real Time Data Exchange

- Support for CORBA/XML

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Not Available

Does not support

Supports only through Custom scripts. Does not have a wizard to do this. DS has a component called ProfileStage that handles this type of comparison. You'll want to use it judiciously in your production processing because it does take extra resources to use it but I have found it to be very useful. Does not support. Cannot be captured in separate file. DS absolutely has the ability to capture rejected records in a separate file. That's a pretty basic capability and I don't know of any ETL tool that can't do it... Supports basic debugging facilities for testing.

Not Available, The 7.x version of DS has a component to handle real-time data exchange. I think it is called RTE. Does not support

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Metadata - Ability to view & navigate metadata on the web

Does Not Support

- Ability to Customize views of metadata for different users (DBA Vs Business user).

Supports

- Metadata repository can be stored in RDBMS

Yes

Support And Maintenance - Command line operation - Ability to maintain versions of mappings

Job Controlling & Scheduling - Alerts like sending mails

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Job sessions can be monitored using Informatica Classes. This is completely not true. DS has a very strong metadata component (MetaStage) that works not only with DS, but also has plug-ins to work with modeling tools (like ERWin) and BI tools (like Cognos). This is one of their strong suits (again, IMHO). Not Available, Also not true - MetaStage allows publishing of metadata in HTML format for different types of users. It is completely customizable. No. But the proprietary meta data can be moved to a RDBMS using the DOC Tool

Pmcmd -server interface for command line Yes

Not Available

Supported

Does not support directly (no option). But possible to call custom programs after the job get executed)

No, Not true - this has been a weak spot for DS in past releases, but the7.x version of DS has a good versioning tool.

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Comparison Between DataStage (Server Edition) and Informatica 1. Datastage is closely integrated with its repository (universe database). Informatica is not. With the introduction of repository server, they have isolated the server calls with repository calls to reduce the load. This has both advantages and disadvantages. 2. Datastage is more powerful transformation engine by using functions (Oconv and IConv) and routines. We can do almost any transformation. Informatica is more visual, programmer friendly. 3. Lookups are much faster in Datastage, because the way the hash files are built. You can tune the hash files to get an optimal performance. 4. Datastage best practices calls for landing the data in between transformations and have smaller simpler job. The job when compiled generates a Basic routine and bigger the routine is, slower the job performs. For a simple project, you might end up having 3-4 times more jobs in Datastage than in Informatica. 5. Datastage does not perform very well with heterogeneous sources. You might end up extracting data from all the sources and putting them into a hash and start your transformation. This may not be the case with Informatica. 6. DataStage and Informatica support XML. DataStage comes with XML input, transformation and output stages. 7. Both products have an unlimited number of transformation functions since you can easily write your own using the command interface. 8. Both products have options for integrating with ERP systems such as SAP, PeopleSoft and Seibel but these come at a significant extra cost. You may need to evaluate these. SAP is a reseller of DataStage for SAP BW, PeopleSoft bundles DataStage in its EPM products. 9. DataStage has some very good debugging facilities including the ability to step through a job link by link or row by row and watch data values as a job executes. Also server side tracing. 10. DataStage 7.x releases have intelligent assistants (wizards) for creating the template jobs for each type of slowly changing dimension table loads. The DataStage Best Practices course also provides training in DW loading with SCD and surrogate key techniques. 11. Ascential and Informatica both have robust metadata management products. Ascential MetaStage comes bundled free with DataStage Enterprise and manages metadata via a hub and spoke architecture. It can import metadata from a wide range of databases and modeling tools and has a high degree of interaction with DataStage for operational metadata. Informatica SuperGlue was released last year and is rated more highly by Gartner in the metadata field. It integrates closely with PowerCenter products. They both support multiple views (business and technical) of metadata plus the functions you would expect such as impact analysis, semantics and data lineage. 12. DataStage can send emails. The sequence job has an email stage that is easy to configure. DataStage 7.5 also has new mobile device support that can administer the DataStage jobs via a palm pilot. There are also 3rd party web based tools that let you run and review jobs over a browser. We can send sms admin messages from a DataStage UNIX server. 13. DataStage has a command line interface. The dsjob command can be used by any scheduling tool or from the command line to run jobs and check the results and logs of jobs.

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14. Both products integrate well with Trillium for data quality, DataStage also integrate with QualityStage for data quality. This is the preferred method of address cleansing and fuzzy matching. 15. Deployment facility: Ability to handle initial deployment, major & minor releases and patches with ease. •

Informatica: Yes.

•

DataStage: No

16. Support for looping the source row (For While Loop). •

Informatica: Supports for comparing immediate previous record

•

DataStage; Does not support.

17. Slowly Changing Dimension. •

Informatica: Supports Full History, Recent Values, Current & Previous Values.

•

DataStage: Supports only through Custom scripts. Does not have a wizard to do this.

18. Time Dimension generation. •

Informatica: Does not support.

•

DataStage: Does not support

19. Rejected records. •

Informatica: Cab be captured.

•

DataStage: Cannot be captured (Cab be captured in a separate file).

20. Debugging Facility. •

Informatica: Does not Support.

•

DataStage: Supports basic debugging facilities for testing.

21. Ability to Customize views of metadata for different users (DBA Vs Business user). •

Informatica: Supports.

•

DataStage: Supports.

22. Metadata repository can be stored in RDBMS •

Informatica: Yes.

•

DataStage: No.

23. Support And Maintenance: Command line operation. •

Informatica: Yes (pmcmd).

•

DataStage: Yes (dsjob).

24. Ability to maintain versions of mappings/jobs. •

Informatica: Yes.

•

DataStage: Yes.

25. Job Controlling & Scheduling. •

Informatica: Yes.

•

DataStage: Yes.

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1) System Requirement 1.1 Platform Support 1.1.1 Informatica: Win NT/ Unix 1.1.2 DataStage: Win NT/ Unix/More platforms. 2) Deployment facility 2.1. Ability to handle initial deployment, major releases, minor releases and patches with equal ease 2.1.1.Informatica:. Yes 2.1.2.DataStage: No My experience has been that INFA is definitiely easier to implementinitially and upgrade. Ascential has done a good job in recent releases to improve, but IMHO INFA still does this better. 3) Transformations 3.1. No of available transformation functions 3.1.1.Informatica:. 58 3.1.2.DataStage: 28 DS has many more canned transformation functions than 28. I'm not surewhat leads you to this number, but I'd recheck it if I were you. 3.2. Support for looping the source row (For While Loop) 3.2.1.Informatica:. Supports for comparing immediate previous record 3.2.2.DataStage: Does not support 3.3. Slowly Changing Dimension 3.3.1.Informatica:. Supports Full history, recent values, Current & Prev values. 3.3.2.DataStage: Supports only through Custom scripts. Does not have a wizard to do this DS has a component called ProfileStage that handles this type ofcomparison. You'll want to use it judisciously in your production processing because it does take extra resources to use it but I have found it to be very useful. 3.4. Time Dimension generation 3.4.1.Informatica:. Does not support. 3.4.2.DataStage: Does not support 3.5. Rejected Records 3.5.1.Informatica:. Can be captured 3.5.2.DataStage: Cannot be captured in separate file DS absolutely has the ability to capture rejected records in a separatefile. That's a pretty basic capability and I don't know of any ETL tool that can't do it... 3.5. Debugging Facility 3.5.1.Informatica:. Not Supported 3.5.2.DataStage: Supports basic debugging facilities for testing. 4) Application Integration Functionality 4.1. Support for real Time Data Exchange 4.1.1..Informatica:. Not Available 4.1.2.DataStage: Not Available. The 7.x version of DS has a component to handle real-time dataexchange. I have not personnaly used it yet, but you should look into

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it. I think it is called RTE. 4.2. Support for CORBA/XML 4.1.1..Informatica:. Does not support 4.1.2.DataStage: Does not support 5) Metadata 5.1. Ability to view & navigate metadata on the web 5.1.1..Informatica:. Does not support 5.1.2.DataStage: Job sessions can be monitored using Informatica Classes This is completely not true. DS has a very strong metadata component(MetaStage) that works not only with DS, but also has plug-ins to work with modeling tools (like ERWin) and BI tools (like Cognos). This is one of their strong suits (again, IMHO). 5.1. Ability to Customize views of metadata for different users (DBA Vs Business user) 5.1.1..Informatica:. Supports. 5.1.2.DataStage: Not Available Also not true - MetaStage allows publishing of metadata in HTML format for different types of users. It is completely customizable. 5.1. Metadata repository can be stored in RDBMS 5.1.1..Informatica:. Yes 5.1.2.DataStage: No. But the proprietary meta data can be moved to a RDBMS using the DOC Tool 6) Support And Maintenance 6.1. Command line operation 6.1.1..Informatica:. Pmcmd -server interface for command line 6.1.2.DataStage: Not Available 6.2. Ability to maintain versions of mappings 6.1.1..Informatica:. Yes 6.1.2.DataStage: No Not true - this has been a weak spot for DS in past releases, but the7.x version of DS has a good versioning tool. 7) Job Controlling & Scheduling 7.1. Alerts like sending mails 7.1.1..Informatica:. Supported. 7.1.2.DataStage: Does not support directly ( no option). But possible to call custom programs after the job get executed)

Further mistakes in your comparison, mainly from a DataStage based angle as my experience is with that product:



Both DataStage and Informatica support XML. DataStage comes with XML input, transformation and output stages. Both products have an unlimited number of transformation functions since you can easily write your own using the command interface.

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Both products have options for integrating with ERP systems such as SAP, PeopleSoft and Seibel but these come at a significant extra cost. You may need to evaluate these. SAP is a reseller of DataStage for SAP BW, PeopleSoft bundles DataStage in its EPM products. DataStage has some very good debugging facilities including the ability to step through a job link by link or row by row and watch data values as a job executes. Also server side tracing. DataStage 7.x releases have intelligent assistants (wizards) for creating the template jobs for each type of slowly changing dimension table loads. The DataStage Best Practices course also provides training in DW loading with SCD and surrogate key techniques. Ascential and Informatica both have robust metadata management products. Ascential MetaStage comes bundled free with DataStage Enterprise and manages metadata via a hub and spoke architecture. It can import metadata from a wide range of databases and modelling tools and has a high degree of interaction with DataStage for operational metadata. Informatica SuperGlue was released last year and is rated more highly by Gartner in the metadata field. It integrates closely with PowerCenter products. They both support multiple views (business and technical) of metadata plus the functions you would expect such as impact analysis, semantics and data lineage. DataStage can send emails. The sequence job has an email stage that is easy to configure. DataStage 7.5 also has new mobile device support so you can administer your DataStage jobs via a palm pilot. There are also 3rd party web based tools that let you run and review jobs over a browser. I found it easy to send sms admin messages from a DataStage Unix server. DataStage has a command line interface. The dsjob command can be used by any scheduling tool or from the command line to run jobs and check the results and logs of jobs. Both products integrate well with Trillium for data quality, DataStage also integrate with QualityStage for data quality. This is the preferred method of address cleansing and fuzzy matching.

Milind - I've got to ask - where are you getting your information from??? I have done ETL tool comparisons for several clients over the past 7 or so years. They are both good tools with different strengths so it really depends on what your organizations needs / priorities are as to which one is "better". I have spent much more time in the past couple of years on DS than INFA so I don't feel I can speak to the changes INFA has made lately, but I know you have incorrect info about DS. I am currently working with a client on DS v7.1. I've made a few comments below for the more glaring inaccuracies or topics where I have up-to-date experience. I suggest you re-research and perhaps do a proof-of-concept with each vendor. FYI - I don't know if you have looked at the Parallel Extender component of DS 7.x, but it is a terrific capability if you have challenges with meeting availability requirements. It is one of the most impressive changes Ascential has made lately (IMHO).

Gartner has vendor reports on Ascential and Informatica. They also have a magic quadrant that lists both DataStage and Informatica as the clear market leaders. I don't think you can go wrong with either product, it comes down to whether you can access experts in these products for your project and what options you have for training. I think if you go into a major project with either product and you don't have an expert on your team it can go badly wrong.

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Further mistakes in your comparison, mainly from a DataStage based angle as my experience is with that product: - Both DataStage and Informatica support XML. DataStage comes with XML input, transformation and output stages. - Both products have an unlimited number of transformation functions since you can easily write your own using the command interface. - Both products have options for integrating with ERP systems such as SAP, PeopleSoft and Seibel but these come at a significant extra cost. You may need to evaluate these. SAP is a reseller of DataStage for SAP BW, PeopleSoft bundles DataStage in its EPM products. - DataStage has some very good debugging facilities including the ability to step through a job link by link or row by row and watch data values as a job executes. Also server side tracing. - DataStage 7.x releases have intelligent assistants (wizards) for creating the template jobs for each type of slowly changing dimension table loads. The DataStage Best Practices course also provides training in DW loading with SCD and surrogate key techniques. - Ascential and Informatica both have robust metadata management products. Ascential MetaStage comes bundled free with DataStage Enterprise and manages metadata via a hub and spoke architecture. It can import metadata from a wide range of databases and modelling tools and has a high degree of interaction with DataStage for operational metadata. Informatica SuperGlue was released last year and is rated more highly by Gartner in the metadata field. It integrates closely with PowerCenter products. They both support multiple views (business and technical) of metadata plus the functions you would expect such as impact analysis, semantics and data lineage. - DataStage can send emails. The sequence job has an email stage that is easy to configure. DataStage 7.5 also has new mobile device support so you can administer your DataStage jobs via a palm pilot. There are also 3rd party web based tools that let you run and review jobs over a browser. I found it easy to send sms admin messages from a DataStage Unix server. - DataStage has a command line interface. The dsjob command can be used by any scheduling tool or from the command line to run jobs and check the results and logs of jobs. - Both products integrate well with Trillium for data quality, DataStage also integrate with QualityStage for data quality. This is the preferred method of address cleansing and fuzzy matching.

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How Should We Implement A Slowly Changing Dimension? Currently, our data warehouse has only Type 1 Slowly Changing Dimensions (SCD). That is to say we overwrite the dimension record with every update. The problem with that is when data changes, it changes for all history while this is valid for data entry corrections, it may not be valid for all data. An acceptable example could be Customer Date of Birth. If the date of birth was changed, chances are the reason was that their data was incorrect. However, if the Customer address were changed, this may and probably does mean the customer moved. If we simply overwrite the address then all sales for that customer will belong to the new address. Suppose the customer moved from Florida to Ohio. If we were trying to track sales patterns by region, all of the customer’s purchase that were made in Florida would now appear to have been made in Ohio. Type 1 Slowly Changing Dimension Customer Dimension CODE ID CustKey Name 1001 BS001 Bob Smith 1002 LJ004 Lisa Jones

DOB 6/8/1961 10/15/1954

City State Tampa FL Miami FL

Customer Dimension After Edits

ID 1001 1002

CODE CustKey Name BS001 Bob Smith LJ004 Lisa Jones

DOB 6/8/1961 10/15/1954

City State Dayton OH Miami FL

In the example above, the DOB change doesn’t affect any dimensional reporting facts. However, the City, State change would have an affect. Now all sales for Bob Smith would appear to come from Dayton, Ohio rather than from Tampa, Florida. The solution we have chosen for solving this problem is to implement a Type 2 slowly changing dimension. A Type 2 SCD records a separate row each time a value is changed in the dimension. In our case, we are declaring that we will only create a new dimension record when certain columns are changed. In the example above, we would not record a new record for the DOB change but we would for the address change. Type 2 Slowly Changing Dimension Customer Dimension

ID 1001 1002

CODE CustKey Name DOB City BS001 Bob Smith 6/8/1961 Tampa LJ004 Lisa Jones 10/15/1954 Miami

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St Curr FL Y FL Y

Effective Date 5/1/2004 5/2/2004

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Customer Dimension After Edits

ID 1001 1002 1003

CODE CustKey Name DOB City St Curr BS001 Bob Smith 6/8/1961 Tampa FL N LJ004 Lisa Jones 10/15/1954 Miami FL Y BS001 Bob Smith 6/8/1961 Dayton OH Y

Effective Date 5/1/2004 5/2/2004 5/27/2004

As you can see, there are two dimension records for Bob Smith now. They both have the same CustKey values, but the have different ID values. All future fact table rows will use the new ID to link to the Customer dimension. This is accomplished by the use of the Current Flag. The ETL process looks only at the current flag when recording new orders. However, in the case of an update to an order the Effective Date must be used to determine which customer the update applies to. The primary issue with Type 2 SCD is the volume of data grows exponentially as more changes are tracked. This can impact performance in a star schema. The principle behind the star schema design is that while facts are few columns, they have many rows but they only have to perform single level joins to resolve their dimensions. The assumption is that the dimensions have lots of columns but relatively few rows. This allows for very fast joining of data. Conforming Dimensions For the purposes of this discussion conforming dimensions only need a brief definition. Conforming dimensions are a feature of star schemas that allow facts to share dimensional data. A conforming dimension occurs when two dimensions share the same keys. Often they have different attributes. The goal is to ensure that any fact table can link to the conforming dimension and consume its data so long as the dimension is relevant. Conforming Dimension Customer Dimension

ID 1001 1002

CODE CustKey Name BS001 Bob Smith LJ004 Lisa Jones

DOB City State 6/8/1961 Tampa FL 10/15/1954 Miami FL

Billing Dimension

ID 1001 1002

CODE Bill2Ky Name 9211 Bob Smith 23421 Lisa Jones

Account Type Credit Cash

Credit Limit CustKey $10,000 BS001 $100 LJ004

In the example above, we could use the ID from the Customer dimension in a fact and in

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the future a link to the Billing dimension could be established without having to reload the data. We are considering a slight modification to the standard Type 2 SCD. The idea is to maintain two dimensions one as a Type 1 and one as a Type 2. The problem with this is we lose the ability to use conforming dimensions. Type 2 and Type 1 Slowly Changing Dimension Customer Dimension Type 1

ID 1001 1002

CODE CustKey Name DOB City BS001 Bob Smith 6/8/1961 Dayton LJ004 Lisa Jones 10/15/1957 Miami

St Curr Effective Date OH Y 5/1/2004 FL Y 5/2/2004

Customer Dimension Type 2

ID 1001 1002 1003

CODE CustKey Name DOB City St Curr Effective Date BS001 Bob Smith 6/8/1961 Tampa FL N 5/1/2004 LJ004 Lisa Jones 10/15/1957 Miami FL Y 5/2/2004 BS001 Bob Smith 6/8/1961 Dayton OH Y 5/27/2004

As you can see, the current ID for Bob Smith in the Type 1 SCD is 1001, while it is 1003 in the Type 2 SCD. This is not conforming. Our solution is to create a composite key for the Type 2 SCD. Type 2 and Type 1 Slowly Changing Dimension Customer Dimension Type 1

ID 1001 1002

CODE CustKey Name DOB City St BS001 Bob Smith 6/8/1961 Dayton OH LJ004 Lisa Jones 10/15/1957 Miami FL

Customer Dimension Type 2 CODE ID SubKey 1001 001 1002 001 1001 002

CustKey Name DOB City St BS001 Bob Smith 6/8/1961 Tampa FL LJ004 Lisa Jones 10/15/1957 Miami FL BS001 Bob Smith 6/8/1961 Dayton OH

Curr N Y Y

Eff Date 5/1/2004 5/2/2004 5/27/2004

In the example above, the Type 1 and the Type 2 dimensions conform on the ID level. If a fact needs the historical data it will consume both the ID and the SubKey.

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BEFORE YOU DESIGN YOUR APPLICATION You must assess your data. Data Stage jobs can be quite complex and so it is advisable to consider the following before starting a job: •

•

The number and type of data sources. You will need a stage for each data source you want to access. For each different type of data source you will need a different type of stage. The location of the data. Is your data on a networked disk or a tape? You may find that if your data is on a tape, you will need to arrange for a custom stage to extract the data.

•

Whether you will need to extract data from a mainframe source. If this is the case, you will need Enterprise MVS Edition installed and you will use mainframe jobs that actually run on the mainframe.

•

The content of the data. What columns are in your data? Can you import the table definitions, or will you need to define them manually? Are definitions of the data items consistent between data sources? The data warehouse. What do you want to store in the data warehouse and how do you want to store it?

•

To assign a null value to a variable, use this syntax: variable = @NULL To assign a character string containing only the character used to represent the null value to a variable, use this syntax: variable = @NULL.STR Errors that occur as the files are loaded into Oracle are recorded in the sqlldr log file. Rejected rows are written to the bad file. The main reason for rejected rows is an integrity constraint in the target table; for example, null values in NOT NULL columns, nonunique values in UNIQUE columns, and so on. The bad file is in the same format as the input data file

• • •

String operators for: Concatenating strings with Cat or : Extracting sub strings with [ ]

Hello. ′ : ′My Name is ′ : X : ″. What’s yours?″ ... evaluates to: ″Hello. My name is Tarzan. What’s yours?″ Email: [email protected]

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Field Function: Returns delimited substrings in a string Returns delimited substrings in a string MyString = "London+0171+NW2+AZ" SubString = Field(Mystring, "+", 2, 2) * returns "0171+NW2" A=′12345′ A[3]=1212 The result is 121212. MyString = "1#2#3#4#5" String = Fieldstore (MyString, "#", 2, 2, "A#B") * above results in: "1#a#B#4#5" Operator Eq or = Ne or # or >< or <> Lt or < Gt or > Le or <= or =< or #> Ge or >= or => or #<

Relation Equality Inequality Less than Greater than Less than or equal to Greater than or equal to

Example X=Y X # Y, X <> Y XY X <= Y X >= Y

You cannot use relational operators to test for a null value. Use the IsNull function instead. Tests if a variable contains a null value.

MyVar = @Null ;* sets variable to null value If IsNull(MyVar * 10) Then * Will be true since any arithmetic involving a null value * results in a null value. End IF Operator:

Assigns a value that meets the specified conditions •

Return A or B depending on value in Column1: If Column1 > 100 Then "A" Else "B"

Function MyTransform(Arg1, Arg2, Arg3) * Then and Else clauses occupying a single line each: If Arg1 Matches "A..." Then Reply = 1

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Else Reply = 2 * Multi-line clauses: If Len(arg1) > 10 Then Reply += 1 Reply = Arg2 * Reply End Else Reply += 2 Reply = (Arg2 - 1) * Reply End * Another style of multiline clauses: If Len(Arg1) > 20 Then Reply += 2 Reply = Arg3 * Reply End Else Reply += 4 Reply = (Arg3 - 1) * Reply End Return(Reply)

Calls a subroutine. Not available in expressions.

Syntax Call subroutine [ ( argument [ ,argument ] … ) ] Subroutine MyRoutineA(InputArg, ErrorCode) ErrorCode = 0 ;* set local error code * When calling a user-written routine that is held in the * DataStage Repository, you must add a "DSU." Prefix. * Be careful to supply another variable for the called * routine's 2nd argument so as to keep separate from our own. Call DSU.MyRoutineB("First argument", ErrorCodeB) If ErrorCodeB <> 0 Then ... ;* called routine failed - take action Endif Return

Special DataStage BASIC Subroutines DataStage provides some special DataStage subroutines for use in a before/after subroutines or custom transforms. You can: • •

Log events in the job's log file using DSLogInfo, DSLogWarn, DSLogFatal, and DSTransformError Execute DOS or DataStage Engine commands using DSExecute

All the subroutines are called using the Call statement.

Logs an information message in a job's log file.

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Syntax Call DSLogInfo (Message, CallingProgName)

Example Call DSLogInfo("Transforming: ":Arg1, "MyTransform")

Example Call DSLogInfo("Transforming: ":Arg1, "MyTransform")

Date( ) : Returns a date in its internal system format. This example shows how to turn the current date in internal form into a string representing the next day: Tomorrow = Oconv(Date() + 1, "D4/YMD") ;* "1997/5/24"

Ereplace Function: Formats data for output.: Replaces one or more instances of a substring.

Syntax Ereplace (string, substring, replacement [ ,number [ ,begin] ] ) MyString = "AABBCCBBDDBB" NewString = Ereplace(MyString, "BB", "") * The result is "AACCDD" = FMT("1234567", "14R2") X = FMT("1234567", "14R2$,")X = FMT("12345", "14*R2$,") X = FMT("1234567", "14L2") X = FMT("0012345", "14R") X = FMT("0012345", "14RZ") X = FMT("00000", "14RZ") X = FMT("12345", "14'0'R") X = FMT("ONE TWO THREE", "10T") X = FMT("ONE TWO THREE", "10R") X = FMT("AUSTRALIANS", "5T")

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X = "1234567.00" X = " $1,234,567.00" X = "1234567.00" X = "0012345" X = "12345" X="" X = "00000000012345" X = "ONE TWO ":T:"THREE " X = "ONE TWO TH":T:"REE " X = "AUSTR":T:"ALIAN":T:"S "

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X = FMT("89", "R#####") X = FMT("6179328323", "L###-#######") X = FMT("123456789", "L#3-#3-#3") X = FMT("123456789", "R#5") X = FMT("67890", "R#10") X = FMT("123456789", "L#5") X = FMT("12345", "L#10") X = FMT("123456", "R##-##-##") X = FMT("555666898", "20*R2$,") X = FMT("DAVID", "10.L") X = FMT("24500", "10R2$Z") X = FMT("0.12345678E1", "9*Q") X = FMT("233779", "R")

X = " 89" X = "617-9328323" X = "123-456-789" X = "56789" X = " 67890" X = "12345" X = "12345 " X = "12-34-56" X = "*****$555,666,898.00" X = "DAVID....." X = " $24500.00" X = "*1.2346E0" X = "233779"

Date Conversions The following examples show the effect of various D (Date) conversion codes. Conversion Expression X = Iconv("31 DEC 1967", "D") X = Iconv("27 MAY 97", "D2") X = Iconv("05/27/97", "D2/") X = Iconv("27/05/1997", "D/E") X = Iconv("1997 5 27", "D YMD")

Internal Value X=0 X = 10740 X = 10740 X = 10740 X = 10740

X = Iconv("27 MAY 97", "D DMY[,A3,2]") X = Iconv("5/27/97", "D/MDY[Z,Z,2]")

X = 10740

X = Iconv("27 MAY 1997", "D DMY[,A,]") X = Iconv("97 05 27", "DYMD[2,2,2]")

X = 10740 X = 10740 X = 10740

Date Conversions The following examples show the effect of various D (Date) conversion codes. Conversion Expression X = Oconv(0, "D") X = Oconv(10740, "D2") X = Oconv(10740, "D2/") X = Oconv(10740, "D/E") X = Oconv(10740, "D-YJ") X = Oconv(10740, "D2*JY")

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External Value X = "31 DEC 1967" X = "27 MAY 97" X = "05/27/97" X = "27/05/1997" X = "1997-147" X = "147*97"

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X = Oconv(10740, "D YMD") X = Oconv(10740, "D MY[A,2]") X = Oconv(10740, "D DMY[,A3,2]") X = Oconv(10740, "D/MDY[Z,Z,2]") X = Oconv(10740, "D DMY[,A,]") X = Oconv(10740, "DYMD[2,2,2]") X = Oconv(10740, "DQ") X = Oconv(10740, "DMA") X = Oconv(10740, "DW") X = Oconv(10740, "DWA")

X = "1997 5 27" X = "MAY 97" X = "27 MAY 97" X = "5/27/97" X = "27 MAY 1997" X = "97 05 27" X = "2" X = "MAY" X = "2" X = "TUESDAY"

OpenSeq ".\ControlFiles\File1" To PathFvar Locked FilePresent = @True End Then FilePresent = @True End Else FilePresent = @False End

Example This example shows how a before/after routine must be declared as a subroutine at DataStage release 2. The DataStage Manager will automatically ensure this when you create a new before/after routine. Subroutine MyRoutine(InputArg, ErrorCode) * Users can enter any string value they like when using * MyRoutine from within the Job Designer. It will appear * in the variable named InputArg. * The routine controls the progress of the job by setting * the value of ErrorCode, which is an Output argument. * Anything non-zero will stop the stage or job. ErrorCode = 0 ;* default reply * Do some processing... ... Return MyStr = Trim(" String with whitespace ") * ...returns "String with whitespace" MyStr = Trim("..Remove..redundant..dots....", ".")

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* ...returns "Remove.redundant.dots" MyStr = Trim("Remove..all..dots....", ".", "A") * ...returns "Removealldots" MyStr = Trim("Remove..trailing..dots....", ".", "T") * ...returns "Remove..trailing..dots"

This list groups BASIC functionality under tasks to help you find the right statement or function to use: • • • • • • • • • •

Compiler Directives Declaration Job Control/Job Status Program Control Sequential Files Processing String Verification and Formatting Substring Extraction and Formatting Data Conversion Data Formatting Locales

Function MyTransform(Arg1) Begin Case Case Arg1 = 1 Reply = "A" Case Arg1 = 2 Reply = "B" Case Arg1 > 2 And Arg1 < 11 Reply = "C" Case @True ;* all other values Call DSTransformError("Bad arg":Arg1, "MyTransform" Reply = "" End Case Return(Reply)

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DATASTAGE 7.5x1 GUI FEATURES New and Expanded Functionality to aid DataStage users in job design and debugging. •

New Stored Procedure Stage:

A new stored procedure stage allows users to easily use Oracle stored procedures written in PL/SQL via OCI. The Stored Procedure Stage supports input and output parameters making it easier to get information back from a stored procedure. It can return a result set via output parameters and can return more than one row if the procedure uses cursors. The stage can also execute a stored function and returns status information from the procedure. • HTML Job Reporting from the Designer: A detailed printable HTML format job report can be generated for the currently open joy or shared container. The report can be produced using the new menu option in Designer: File -> Generate Report. The final HTML report can be customized by applying different XSL style sheets to the generated XML file. • Changes to File & Directory Browser Form: The old style File & Directory browser form has been replaced with one modeled on the standard Windows 2K browser. The new browser provides enhanced functionality on directory navigation (tree-oriented) and file selection, it has filtering as well as saving and restoring capabilities for the last viewed file list. • Ability to globally set Annotation properties: The Annotation properties dialog is presented in the Tools -> Options dialog and the settings are saved in the registry per user. The Annotation stage always defaults to the saved settings. • Ability to unset Environment Variables when a Job Runs ($UNSET): A special value $UNSET was introduced where there is a need for a user defined environment variable to explicitly unset the Unix environment variable to indicate false. A dialog that provides information about what all the special environment variable values are and what they are for is available by double-clicking at: - Job properties dialog, Parameters tab, when editing the Default Value cell for a job parameter defined as an environment variable. - Admin Client, Environment dialog, when editing a value cell.

Article-II: • Transformer “Cancel” operation: If the Cancel button or <ESC> key are pressed from the main Transformer dialog and changes have been made, then a confirmation message box is displayed, to check that the user wants to quit without saving the changes. If no changes have been made, no confirmation message is displayed.

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• Multi-Client Manager: The previously unsupported “Client Switcher” tool has been enhanced and integrated into the DataStage Client. This tool allows the users to install and switch between multiple different versions of the client. Switching between them also changes the desktop shortcuts and the Start Menu group to point to another installed DataStage client.

Enterprise Edition: • Complex Flat File Stage: A new Parallel Complex Flat File stage has been added to read or write files that contain complex structures (for example groups, arrays, redefines, occurs depending on, etc.). Arrays from complex source can be passed as-is or optionally flattened or normalized. • Parallel Job Runtime Message Handling: When DataStage parallel jobs are run they can generate a large number of messages that are logged and may be viewed in the Director Client. Note: When the Local Run button is disabled, you cannot view log information from the Director. Someone authorized to do so can enable the Local Run via the Apiary. Message Handlers allow the user to customize the severity of individual messages and can be applied at project of job level. Messages can be suppressed from the log (Information and Warning messages only), promoted (from Information to Warning) or demoted (from warning to Information). A message handler management tool (available from DS Manager and Director) provides options to edit, add or delete message handlers. A new Director option allows message handling to be enabled/disabled for the current job.

• Visual Cues in Designer – Designer time job validation: For parallel jobs (including parallel shared containers) and job sequences, errors that would occur during compilation are optionally presented on the canvas without requiring the user to explicitly compile the job. If there are potential problems with the stage that would cause a compilation error, a warning triangle icon (Visual Cue) is shown on the top of the stage. When the user hovers the mouse over a stage with the Visual Cue, a tool tip is displayed. The Visual Cues can be turned off via a toolbar button (a ‘tick’ image). • -

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Additional properties for Parallel Job Stages: File Name Column (optional) – add a column to the stage output that contains the name of the file that the record is sourced from. Available on Sequential File and File Set Stages. Source Name Column (optional) – adds a column to the stage output that contains the name of the source that the record is sourced from. Available on External Source Stage. Row Number Column (optional) – adds a column to the stage output that contains the row number of the record. Available on Sequential File, File Set and External Source Stages. Read First Rows (optional) – constrains the stage to only read the specified number of rows from each file. Available on Sequential File Stage. First Line is Column Names (mandatory) – on reading this tells the stage to ignore the first line since it contains column names. On writing it causes the first line written to be the column names. Available on Sequential File Stage.

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• -

View Data functionality on the Source & Target custom stages: View data support was added to custom parallel stages for both source and targets. “Show file” had been replaced with “View Data” for Parallel Job, Sequential File and File Set stages.

• New Parallel Job Advanced Developer’s Guide: A new Parallel Job Advanced Developer’s Guide gives DataStage Enterprise Edition users information on efficient job design, stage usage, performance turning, and more. It also documents all of the parallel environment variables available for use.

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DATASTAGE & DWH INTERVIEW QUESTIONS COMPANY: TCS (DataStage) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. 26. 27. 28. 29. 30. 31. 32. 33. 34. 35.

Tell about yourself? Types of Stages? Examples What are active stages and passive stages? Can you filter data in hashed file? (No) Difference between sequential and hashed file? How do you populate time dimension? Can we use target hashed file as lookup? (Yes) What is Merge Stage? What is your role? What is Job Sequencer? What are stages in sequences? How do you pass parameters? What parameters you used in your project? What are log tables? What is job controlling? Facts and dimension tables? Confirmed dimensions? Time dimension contains what data? (numeric data) Difference between OLTP and OLAP? Difference between star schema and snow flake schema? What are hierarchies? Examples? What are materialized views? What is aggregation? What is surrogate key? Is it used for both fact and dimension tables? Why do you go for oracle sequence generator rather than datastage routine? Flow of data in datastage? Initial loading and incremental loading? What is SCD? Types? How do you develop SCD type2 in your project? How do you load dimension data and fact data? Which is first? Any idea about shell scripting and UNIX? Difference between oracle function and procedure? Difference between unique and primary key? Difference between union and union all? What is minus operator?

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COMPANY: ACCENTURE (Datastage) 1. What is audit table? 2. If there is a large hash file and a smaller oracle table and if you are looking up from transformer in different jobs which will be faster? 3. Tell me about SCD’s? 4. How did you implement SCD in your project? 5. Do a business people need to know the surrogate key? 6. What are derivations in transformer? 7. How do you use surrogate key in reporting? 8. Logs view in datastage, logs in Informatica which is clear? 9. Have you used audit table in your project? 10. What is keen? Have you used it in your project? 11. While developing your project what are the considerations you take first like performance or space? 12. What is job scheduler? Have you used it? How did you do? 13. Have you used datastage parallel extender? 14. What is the Link Partitioner and link collector stage? 15. How does pivot stage work? 16. What is surrogate key? What is the importance of it? How did you implement it in your project? 17. Totally how many jobs did you developed and how many lookups did you use totally? 18. How do constraint in transformer work? 19. How will you declare a constraint in datastage? 20. How will you handle rejected data? 21. Where the data stored in datastage? 22. Give me some performance tips in datastage? 23. Can we use sequential file as a lookup? 24. How does hash file stage lookup? 25. Why can’t we use sequential file as a lookup? 26. 27. 28. 29. 30. 31. 32. 33. 34. 35. 36. 37. 38. 39. 40. 41. 42. 43.

What is data warehouse? What is ‘Star-Schema’? What is ‘Snowflake-Schema’? What is difference between Star-Schema and Snowflake-Schema? What is mean by surrogate key? What is ‘Conformed Dimension’? What is Factless Fact Table? When will we use connected and unconnected lookup? Which cache supports connected and unconnected lookup? What is the difference between SCD Type2 and SCD Type3? Draw the ETL Architecture? Draw the DWH Architecture? What is materialized view? What is procedure? What is Function? What is the difference between procedure and function? What is trigger? What are types of triggers?

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COMPANY: SATHYAM (Datastage) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25.

Tell me about yourself? What are the client components? About administrator? With this, what do you do in your project? What is you project and explain the process? Informational dimensions? Measures? What is data mart size and data warehouse size? Fact table? Dimension table? Data Mart? How do you clear source files? Pivot Stage? How do you find a link, if not found? Difference between transformer and routine? How do you secure your project? How do you handle errors? Exception handlers? How do you know, how many rows rejected? How do you manage surrogate key in datastage? What is lookup? Aggregator Stage? Universe Stage? How do you merge two tables in datastage? What is export and import? What are Integration testing, unit testing, performance testing? UAT testing? (User Acceptance Testing) Local, development, preproduction, production server?

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COMPANY: SYNTEL, Mumbai (DataStage). Basic DWH: 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. 26.

Tell me about your current project? What is your role or job profile in the project? What is your Job profile? What is dimesion and fact? What are types of dimensions? What are confirmed dimensions? What are generated dimensions? What are slowly changing dimensions? How many data marts in your project? What is data mart name in your project? What is the size of your data mart? What is factless fact table? Give example. How many fact tables are used in the project? What is your fact table name in your project? How many dimension tables used in the project? What are the names of the dimension tables? What is Schema? Types? Explain Star-Schema and Snowflake Schema with difference. Which schema you used in your project? Why? Why star-schema called as star-schema? Give example. How frequently and from where you get the data as source? What is difference between data mart and data warehouse? What is composite key? What is surrogate key? When you will go for it? What is dimensional modeling? What are SCD and SGT? Difference between them? Example of SGT from your project. How do you rate yourself in data warehouse? What is the status of your current project?

DataStage: 27. 28. 29. 30. 31. 32. 33. 34. 35. 36. 37. 38. 39. 40. 41. 42. 43.

How do you import your source and targets? What are the types of sources and targets? What is Active Stages and Passive Stages means in datastage? What is difference between Informatica and DataStage? Which do you think is best? What are the stages you used in your project? Whom do you report? What is orchestrate? Difference between orchestrate and datastage? What is parallel extender? Had you work on this? What do you mean by parallel processing? What is difference between Merge Stage and Join Stage? What is difference between Copy Stage and Transformer Stage? What is difference between ODBC Stage and OCI Stage? What is difference between Lookup Stage and Join Stage? What is difference between Change Capture Stage and Difference Stage? What is difference between Hashed file and Sequential File? What are different Joins used in Join Stage? How you decide when to go for join stage and lookup stage? What is partition key? Which key is used in round robin partition?

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44. 45. 46. 47. 48. 49. 50. 51. 52. 53. 54. 55. 56. 57. 58. 59. 60. 61. 62. 63. 64. 65. 66. 67. 68. 69. 70. 71. 72. 73. 74. 75. 76. 77. 78. 79. 80. 81. 82.

How do you handle SCD in datastage? What are Change Capture Stage and Change Apply Stages? How many streams to the transformer you can give? What is primary link and reference link? What is routine? What is before and after subroutines? These are run after/before job or stage? Had you write any subroutines in your project? What is Config File? Each job having its own config file or one is needed? What is Node? What is IPC Stage? What it increase performance? What is Sequential buffer? What are Link Partioner and Link Collector? What are the performance tunning you have done in your project? Did you done scheduling? How? Can you schedule a job at the every end date of month? How? What is job sequence? Had you run any jobs? What is status view? Why you clear this? If you clear the status view what internally done? What is hashed file? What are the types of hashed file? Which you use? What is default? What is main advantage of hashed file? Difference between them. (static and dynamic) What are containers? Give example from your project. Had you done any hardware configuration while running parallel jobs? What are operators in parallel jobs? What are parameters and parameter file? Can you use variables? In which stages? How do you convert columns to rows and rows to columns in datastage? (Using Pivot Stage). What is Pivot Stage? What is execution flow of constraints, derivations and variables in transformer stage? What are these? How do you eliminate duplicates in datastage? Can you use hash file for it? If 1st and 8th record is duplicate then which will be skipped? Can you configure it? How do you import and export datastage jobs? What is the file extension? (See each component while importing and exporting). How do you rate yourself in DataStage? Explain DataStage Architecture? What is repository? What are the repository items? What is difference between routine and transform? I have 10 tables with four key column values, in this situation lookup is necessary, but which type of lookup is used? Either OCBC or Hashed file lookup? Why? When you write the routines? In one project how many shared containers are created? How do you protect your project? What is the complex situation you faced in DataStage? How will you move hashed file from one location to another location? How will you create static hashed file? How many Jobs you have done in your project? Explain one of complex Job.

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COMPANY: KANBAY, Pune (DataStage) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. 26. 27. 28. 29. 30. 31. 32.

All about company details, project details, and client details, sample data of your source? DataStage Architecture? System variable, what are system variables used your project? What are the different datastage functions used in your project? Difference between star schema and snow flake schema? What is confirmed, degenerated and junk dimension? What are confirmed facts? Different type of facts and their examples? What are approaches in developing data warehouse? Different types of hashed files? What are routines and transforms? How you used in your project? Difference between Data Mart and Data Warehouse? What is surrogate key? How do you generate it? What are environment variables and global variables? How do you improve the performance of the job? What is SCD? How do you developed SCD type1 and SCD type2? Why do you go for oracle sequence to generate surrogate key rather than datastage routines? How do you generate surrogate key in datastage? What is job sequence? What are plug-ins? How much data you can get every day? What is the biggest table and size in your schema or in your project? What is the size of data warehouse (by loading data)? How do you improve the performance of the hashed file? What is IPC Stage? What are the different types of stages and used in your project? What are the operations you can do in IPC Stage and transformer stage? What is merge stage? How do you merge two flat files? I have two table, in one table contains 100 records and other table contains 1000 records which table is the master table? Why? I have one job from one flat file. I have to load data to database, 10 lakhs records are there, after loading 9 lakhs job is aborted? How do you load remaining records? Which data your project contains? What is the source in your project?

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COMPANY: IBM, Bangalore (DataStage) 1. Tell me about your educational and professional background? 2. What is team size? What is your role in that? 3. What is fact less fact table? As it don’t have facts then what’s the purpose of using it? Had you used in your project? 4. How many jobs you have done in your project? 5. You handled different complex logic jobs in your project or not? 6. Out of all jobs you have done, what is most complex job u feel? Explain it? 7. You do yourself the complex logic or someone give you the specifications and you convert them to datastage? 8. What are the sources you used in your project? 9. What are the stages you used in your project? 10. What is difference between ODBC and ORACLE OCI stage? 11. As you told, if your sources are flat files and ORACLE OCI then why you need ODBC in your project rather than ORACLE OCI stage? 12. What difference between sequential file and hashed file? 13. Can you use sequential file as source to hashed file? Have you done it? What error it will give? 14. Why hashed file improve the performance? 15. How do you sort your data in jobs? 16. Had you use sort stage in your job? (sort stage is parallel stage, be sure that you are using server jobs only, then he will ask Q.12) 17. Can aggregator and transformer stage used for sorting data? How 18. If I have two sources to aggregator stage and oracle as target, I can sort data in aggregator but if I don’t want to use aggregator to sort data then how you will do it? 19. Why we use surrogate key in data warehouse? How it will improve the performance? Where it will store? How do you handle your surrogate key in your project? Where we use mostly surrogate key? 20. How many input links you can give to transformer? 21. Can you give more than one source to transformer? (If you say “No” he will ask what error it will give when you try to do this?) 22. Definition of Slowly Changing Dimensions? Types? 23. If a company maintaining type1 SCD, now the company decided to change there plan to maintain type2 SCD, e.g. customer table, so what are the changes to do in customer table? (Whether you have to change the structure of the table, if it is under type3 right? Or no changes? How do you implement this?) 24. How many dimensions in your project? What are they? 25. What are the facts in your fact table? 26. Are all these facts are specific (related) to all dimensions? 27. How do you get system date in oracle? 28. What is a dual table in oracle? 29. What is the use of UNION in oracle? If I write query select * from EMP UNION select * from dept, is it executed well? 30. I have a query select * from EMP table group by dept; is this query executed? If no what is the error?

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MORE QUESTIONS ON DATASTAGE: 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. 26. 27. 28. 29. 30. 31. 32. 33. 34. 35. 36. 37. 38. 39. 40. 41. 42. 43. 44.

What are the difficulties faced in using DataStage? What are the constraints in using DataStage? How do you eliminate duplicate rows? How do we do the automation of dsjobs? What are XML files? How do you read data from XML files and which stage to be used? How do you catch bad rows from OCI stage? Why do you use SQL LOADER or OCI STAGE? How do you populate source files? How do you pass filename as the parameter for a job? How do you pass the parameter to the job sequence if the job is running at night? What happens if the job fails at night? What is SQL tuning? How do you do it? What is project life cycle and how do you implement it? How will you call external function or subroutine from datastage? How do you track performance statistics and enhance it? How do you do oracle 4 way inner join if there are 4 oracle input files? Explain your last project and your role in it? What are the often used Stages or stages you worked with in your last project? How many jobs have you created in your last project? How do you merge two files in DS? What is DS Manager used for - did u use it? What is DS Director used for - did u use it? What is DS Administrator used for - did u use it? What is DS Designer used for - did u use it? Explain the differences between Oracle8i/9i? Do you know about INTEGRITY/QUALITY stage? Do you know about METASTAGE? Difference between Hashfile and Sequential File? What is iconv and oconv functions? How can we join one Oracle source and Sequential file? How can we implement Slowly Changing Dimensions in DataStage? How can we implement Lookup in DataStage Server jobs? What are all the third party tools used in DataStage? What is the difference between routine and transform and function? What are the Job parameters? How can we improve the performance of DataStage jobs? How can we create Containers? What about System variables? What is difference between operational data stage (ODS) & data warehouse? How do you fix the error "OCI has fetched truncated data" in DataStage? How to create batches in Datastage from command prompt How do you eliminate duplicate rows? Suppose if there are million records, did you use OCI? If not then what stage do you prefer? What is the order of execution done internally in the transformer with the stage editor having input links on the lft hand side and output links? 45. I want to process 3 files in sequentially one by one, how I can do that. While processing the files it should fetch files automatically.

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Datastage: 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. 26. 27. 28. 29.

How to create a flat file job… (steps) Is there any tool by ascential to pull the metadata from various sources What if definition of a table changes...what impact will it have on ur job... how to use debugger how u schedule a DS job via unix script Any third party tools for scheduling the jobs how to use hash file...how to create Hash file... Aggregator Transformations.. pre sql post sql..How to use these...truncate table what is the use of administrator is used what was the most complex mapping u hv developed using datastage how much exp u hv on DS if table definition has been changed in manager will it automatically propogate into JOb Can out link from one active stage can become inout link in another active stage Can u use a sequential file as a reference file...difference between a sequential file and a hash file A)NO What diffrent options are there to see a table definition.. What all products of ascential u r aware of What is the advantage of using OCI stage as compared to ODBC stage Normalizer Transformation.. what steps will you take to increase performance in Datastage for large volumes of data what are bridge tables Types of Indexes Table Partitioning Types of schemas,explain How do you do requirements gathering in case of non-availability of the personnel and thereafter the project plan How do you take care of unknown values for the primary key for dimension? Factless fact tables Overview of Datastage projects Link Partitioner/ Collector

Data stage: 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11.

What is ETL Architecture? Explain your project Architecture? How many Data marts and how many facts and dimensions Available in your project? What is the size of your Data mart? How many types of loading-techniques are Available? Before going to design jobs in Data stage what are preceding-steps in Data stage? What is the Architecture of Data stage? What is the Main difference between different client components in Data stage? What are the different stage you have worked on it? Can I call procedures in to datastage.if so How to call store- procedures in Data stage? What is the difference between sequential file and hashfile? Can we use sequential file as a lookup? Can we put filter conditions on sequential file? 12. Differences between DRS Stage and ODBC? Which one is the best for performance?

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13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. 26. 27. 28. 29. 30.

What are the different performance tunning aspects are there in Data stage? How do you remove the duplicates in flat-file? What is the difference between Interprocess and inprocess? Which one is the best? What is CRC32? On which situation go for CRC32? What is a pivotstage? Can u explain on scenario which situation used in your project? What is row-spliter and row-merger can I use separately is it possible to do it? If one user locked the resource? How to release the particular Job? What is a version-controll in data stage? What is the difference between clearlog-file? Clearstage-file? How to scehudle jobs with out using Data stage? What is the difference between Static-hash and dynamichashfile? How to do error handling in data stage? What is the difference between Active stage and passive stage? What are the Active and passive stages? How to set Environment variables in datastge? What is job controlled routinue? How set job parameter in Data stage? How to release a job? How to do Auto-purge in Data stage? What is the difference between Datastge7.1 and 7.5?

DATA WAREHOUSING QUESTIONS: 1. What are the different Dimensional modeling Techniques are Available? 2. What is the Difference between Star-schema and snow-flake-schema? When we go for star and snow-flake? 3. What are the types of dimension and facts are in DW? 4. What is the life cycle of Data warehousing project? 5. What is a Data-model? 6. What is the Difference between Top-down Approach and Bottom-up Approach? 7. What is a factless-fact Table? 8. What is a confirmed-dimension? 9. What is a junk-dimension? 10. What is a cleansing? 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. 26.

Tell me about your current project? What is your role or job profile in the project? What is your Job profile? What is dimesion and fact? What are types of dimensions? What are confirmed dimensions? What are generated dimensions? What are slowly changing dimensions? How many data marts in your project? What is data mart name in your project? What is the size of your data mart? What is factless fact table? Give example. How many fact tables are used in the project? What is your fact table name in your project? How many dimension tables used in the project? What are the names of the dimension tables?

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27. What is Schema? Types? Explain Star-Schema and Snowflake Schema with difference. Which schema you used in your project? Why? 28. Why star-schema called as star-schema? Give example. 29. How frequently and from where you get the data as source? 30. What is difference between data mart and data warehouse? 31. What is composite key? 32. What is surrogate key? When you will go for it? 33. What is dimensional modeling? 34. What are SCD and SGT? Difference between them? Example of SGT from your project. 35. How do you rate yourself in data warehouse? 36. What is the status of your current project? 37. What is data warehouse? 38. What is ‘Star-Schema’? 39. What is ‘Snowflake-Schema’? 40. What is difference between Star-Schema and Snowflake-Schema? 41. What is mean by surrogate key? 42. What is ‘Conformed Dimension’? 43. What is Factless Fact Table? 44. When will we use connected and unconnected lookup? 45. Which cache supports connected and unconnected lookup? 46. What is the difference between SCD Type2 and SCD Type3? 47. Draw the ETL Architecture? 48. Draw the DWH Architecture?

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DWH FAQ: Conformed dimension: • A dimension table connects to more than one fact table. We present this same dimension table in both schemes and we refer to dimension table as conformed dimension. Conformed fact: • Definitions of measurements (facts) are highly consistent we call them as conformed fact. Junk dimension: • It is convenient grouping of random flags and aggregates to get them out of a fact table and into a useful dimensional framework. Degenerated dimension: • Usually occur in line item oriented fact table designs. Degenerate dimensions are normal, expected and useful. • The degenerated dimension key should be the actual production order of number and should set in the fact table without a join to anything. Time dimension: • It contains a number of useful attributes for describing calendars and navigating. • An exclusive time dimension is required because the SQL date semantics and functions cannot generate several important features, attributes required for analytical purposes. • Attributes like week days, week ends, holidays, physical periods cannot be generated by SQL statements. Fact less fact table: • Fact table which do not have any facts are called fact less fact table. • They may consist of keys; these two kinds of fact tables do not have any facts at all. • The first type of fact less fact table records an ‘event’. • Many event tracking tables in dimensional data warehouses turn out to be factless. Ex: A student tracking system that details each ‘student attendance’ event each day. • The second type of fact less fact table is coverage. The coverage tables are frequently needed when a primary fact table in dimensional DWH is sparse. Ex: The sales fact table that records the sales of products in stores on particular days under each promotion condition Types of facts: • Additive: facts involved in the calculations for deriving summarized data. • Semi additive: facts that involved in the calculations at a particular context of time. • Non additive: facts that cannot involved in the calculations at every point of time.

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DATASTAGE ROUTINES BL: BOT v2.3.0 Returns BLANK if passed value is NOT NULL or BLANK, after trimming spaces DataIn = "":Trim(Arg1) If IsNull(DataIn) or DataIn = "" Then Ans = "" End Else Ans = DataIn End

CheckFileRecords:

Function CheckFileRecords(Arg1,Arg2) vParamFile = Arg1 : "/" : Arg2 vCountVal = 0 OpenSeq vParamFile To FileVar Else Call DSLogWarn("Cannot open ":vParamFile , "Cannot Open ParamFile") End Loop ReadSeq Dummy From FileVar Else Exit ;* at end-of-file vCountVal = vCountVal + 1 Repeat CloseSeq FileVar Ans=vCountVal Return (vCountVal) CheckFileSizes: DIR = "/interface/dashboard/dashbd_dev_dk_int/Source/" FNAME = "GLEISND_OC_02_20040607_12455700.csv" *CMD = "ll -tr ":DIR:"|grep ":FNAME CMD = "cmp -s ":DIR:"|grep ":FNAME Call DSExecute("UNIX", CMD, Output, SystemReturnCode)

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Ans = Output

CheckIdocsSent: Checks If Idoc delivery job actually sent any Idocs to SAP. This routine will atempt to read the DataStage Director log for the job name specified as an argument. If the job has a fatal error with "No link file", the routine will copy the IDOC link file(s) into the interface error folder. In case the fatal error above is not found the routine aborts the job. A simple log of which runs produce error link file is maintained in the module's log directory. $INCLUDE DSINCLUDE JOBCONTROL.H vRoutineName = "CheckIdocsSent" Ans = "Ok" If System(91) Then OsType = 'NT' OsDelim = '\' NonOsDelim = '/' Move = 'move ' End Else OsType = 'UNIX' OsDelim = '/' NonOsDelim = '\' Move = 'mv -f ' End vJobHandle = DSAttachJob(JobName, DSJ.ERRFATAL) vLastRunStart = DSGetJobInfo(vJobHandle, DSJ.JOBSTARTTIMESTAMP) vLastRunEnd = DSGetJobInfo(vJobHandle, DSJ.JOBLASTTIMESTAMP) * Get the delivery log for the last run vLogSummary = DSGetLogSummary ( vJobHandle, DSJ.LOGANY, vLastRunStart, vLastRunEnd, 500) vLogSummary = Change(vLogSummary,@FM,'') * Manipulate vLogSummary within routine to return status PosOfStr = Index(Downcase(vLogSummary),"sent",1) vLogMsg = vLogSummary[PosOfStr,20] * Now work out Status If PosOfStr = 0 then Status = 'NOT SENT' vLogMsg = '' end else Status = 'SENT'

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vLogMsg = vLogSummary[PosOfStr,20] end Ans = Status vErr = DSDetachJob(vJobHandle) Call DSLogInfo("Job " : JobName : " Detached" , vRoutineName) ***** Make a log entry to keep track of how often the pack doesn't work ******** vMessageToWrite = Fmt(Module_Run_Parm, "12' 'L") : Fmt(Status, "10' 'L") : " - " : vLogMsg vIdocLogFilePath = Interface_Root_Path_Parm: OsDelim : "logs" : OsDelim : "IdocSentLog.log" ******** Open the log file OPENSEQ vIdocLogFilePath TO vIdocLogFile Then Call DSLogInfo("IdocSentLog Open" , vRoutineName) ** Label to return to if file is created FileCreated: *** Write the log entry vIsLastRecord = @Null Loop Until vIsLastRecord Do READSEQ vRecord From vIdocLogFile Then *Call DSLogInfo("Record Read - " : vRecord , vRoutineName) End Else *Call DSLogInfo("End of file reached " , vRoutineName) vIsLastRecord = @True End Repeat WRITESEQ vMessageToWrite To vIdocLogFile Then Call DSLogInfo("Log entry created : " : vMessageToWrite, vRoutineName) End Else Call DSLogFatal("Cannot write to " : vIdocLogFilePath, vRoutineName) End End Else Call DSLogInfo("Could not open file - " : vIdocLogFilePath , vRoutineName) Call DSLogInfo("Creating new file - " : vIdocLogFilePath , vRoutineName) CREATE vIdocLogFile ELSE Call DSLogFatal("Could not create file - " : vIdocLogFilePath , vRoutineName) WEOFSEQ vIdocLogFile WRITESEQ Fmt("Module Run", "12' 'L") : Fmt("Status", "10' 'L") : " " : "Message" To vIdocLogFile Else ABORT Call DSLogInfo("Log file created : " : vIdocLogFilePath , vRoutineName)

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GOTO FileCreated End **** Abort the delivery sequence and write error message to the log. ************ If Status = 'NOT SENT' Then Call DSLogInfo("No Idocs were actually sent to SAP - Trying to clean up IDOC Link Files: ", vRoutineName) vIdocSrcLinkPath = Field(Interface_Root_Path_Parm, OsDelim, 1, 4) : OsDelim : "dsproject" : OsDelim : Field(Interface_Root_Path_Parm, OsDelim, 4, 1) vIdocTgtLinkPath = Interface_Root_Path_Parm: OsDelim : "error" OsCmd = Move : " " : vIdocSrcLinkPath : OsDelim : JobName : ".*.lnk " : vIdocTgtLinkPath : OsDelim Call DSExecute(OsType, OsCmd, OsOutput, OsStatus) If OsStatus <> 0 Then Call DSLogWarn("Error when trying to move link file(s)", vRoutineName) LogMessMoveFail = 'The move command (':OsCmd:') returned status ':OsStatus:':':@FM:OsOutput Call DSLogWarn(LogMessMoveFail, vRoutineName) Call DSLogFatal("Cleaning up of IDOC Link Files failed", vRoutineName) End Else LogMessMoveOK = "Link files were moved to " : vIdocTgtLinkPath Call DSLogInfo(LogMessMoveOK, vRoutineName) LogMessRetry = "Job " : JobName : " is ready to be relaunched." Call DSLogInfo(LogMessRetry, vRoutineName) End End Else Call DSLogInfo("Delivery job log indicates run OK ", vRoutineName) End

ClearMappingTable: SUBROUTINE ClearMappingTable (Clear_Mapping_Table, Errorcode) Error Code = 0

;* set this to non-zero to stop the stage/job

**If Clear_Mapping_Table_Parm = 'Y' Then EXECUTE "CLEARFILE Vendor_Map_HF.GEN" **End Else **End ComaDotRmv: DataIn = "":(Arg1) If IsNull(DataIn) or DataIn = "" Then

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Ans = "" End Else DataIn = Ereplace(DataIn, ".", "") DataIn = Ereplace(DataIn, ",", "") Ans = DataIn End CopyFiles: Move files from one directory to another Function CopyofFiles(sourceDir,SourceFileMask,TargetDir,TargetFileMask,Flags) RoutineName = "CopyFiles" If SourceDir = '' Then SourceDir = '.' If TargetDir = '' Then TargetDir = '.' If SourceFileMask = '' Or SourceDir = TargetDir Then Return(0) ! ! ! ! ! ! ! ! ! !

If SourceDir # '.' Then OpenPath SourceDir To Fv Else Call DSU.DSMkDir(MkStatus,SourceDir,'','777') End End If TargetDir # '.' Then OpenPath TargetDir To Fv Else Call DSU.DSMkDir(MkStatus,TargetDir,'','777') End End If System(91) OsType OsDelim NonOsDelim Copy Flag End Else OsType OsDelim NonOsDelim Copy End

Then = 'NT' = '\' = '/' = 'copy ' = Flags = = = =

'UNIX' '/' '\' 'cp -f '

If Flags <> "" then Flag = NonOsDelim:Flags Else Flag = "" SourceWorkFiles = Trims(Convert(',',@FM,SourceFileMask)) SourceFileList = Splice(Reuse(SourceDir),OsDelim,SourceWorkFiles) Convert NonOsDelim To OsDelim In SourceFileList TargetWorkFiles = Trims(Convert(',',@FM,TargetFileMask)) TargetFileList = Splice(Reuse(TargetDir),OsDelim,TargetWorkFiles)

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Convert NonOsDelim To OsDelim In TargetFileList OsCmd = Copy:' '

: Flag :

" " :SourceFileList:' ':TargetFileList

Call DSLogInfo('Copying ': SourceFileList: ' to ':TargetFileList,RoutineName) Call DSExecute(OsType,OsCmd,OsOutput,OsStatus) If OsStatus Then Call DSLogWarn('The Copy command (':OsCmd:') returned status ':OsStatus:':':@FM:OsOutput, RoutineName) End Else Call DSLogInfo('Files moved...','DSMoveFiles') End Ans = OsStatus CopyofComareROWS: Function copyofcompareRows(Column_Name,Column_Value) $INCLUDE DSINCLUDE JOBCONTROL.H vJobName=DSGetJobInfo(DSJ.ME, DSJ.JOBNAME) vStageName=DSGetStageInfo(DSJ.ME, DSJ.ME, DSJ.STAGENAME) vCommonName=CheckSum(vJobName) : CheckSum(vStageName) : CheckSum(Column_Name) Common /vCommonName/ LastValue vLastValue=LastValue vNewValue=Column_Value If vNewValue<>vLastValue Then Ans=1 Else Ans=0 LastValue=vNewValue CopyOfZSTPKeyLookup

Check if key passed exists in file passed Arg1: Hash file to look in Arg2: Key to look for Arg3: Number of file to use "1" or "2" * Routine to look to see if the key passed exists in the file passed * If so, then the non-key field from the file is returned * If not found, "***Not Found***" is returned * * The routine requires the UniVerse file named to have been created previously * $INCLUDE DSINCLUDE JOBCONTROL.H

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EQUATE RoutineName TO 'ZSTPKeyLookup' *

Call DSLogInfo("Routine started",RoutineName)

Common /ZSTPkeylookup/ Init1, SeqFile1, Init2, SeqFile2, RetVal, msgtext Ans = 0 If NOT(Init1) And Arg3 = "1" Then * Not initialised. Therefore open file Init1 = 1 Open Arg1 TO SeqFile1 Then Clearfile SeqFile1 Else Call DSLogInfo("Open failed 1",RoutineName) msgtext = "Cannot open ZSTP creation control file ":Arg1 Call DSLogFatal(msgtext,RoutineName) Ans = -1 End End If NOT(Init2) And Arg3 = "2" Then * Not initialised. Therefore open file Init2 = 1 Open Arg1 TO SeqFile2 Then Clearfile SeqFile2 Else Call DSLogInfo("Open failed 2",RoutineName) msgtext = "Cannot open ZSTP creation control file ":Arg1 Call DSLogFatal(msgtext,RoutineName) Ans = -1 End End * Read the file to get the data for the key passed, if not found, return "***Not Found***" If Arg3 = "1" Then Read RetVal From SeqFile1, Arg2 Else RetVal = "***Not Found***" End Else Read RetVal From SeqFile2, Arg2 Else RetVal = "***Not Found***" End Ans = RetVal

Create12CharTS: Function Create12CharTS(JobName) $INCLUDE DSINCLUDE JOBCONTROL.H vJobHandle = DSAttachJob(JobName, DSJ.ERRFATAL) vJobStartTime = DSGetJobInfo(vJobHandle, DSJ.JOBSTARTTIMESTAMP)

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vDate vDate vDate vDate

= = = =

Trim(vJobStartTime, "-","A") Trim(vDate, ":","A") Trim(vDate, " ", "A") vDate[1,12]

Ans=vDate

CreateEmptyFile: Function CreateEmptyFile(Arg1,Arg2) *Create Empty File vParamFile

= Arg1 : "/" : Arg2

OpenSeq vParamFile To FileVar Else Call DSLogWarn("Cannot open ":vParamFile , "Cannot Open ParamFile") End WeofSeq FileVar CloseSeq FileVar Ans="1"

Datetrans: DateVal Function Datetrans(DateVal) Function DeleteFiles(SourceDir,FileMask,Flags) * Function ReverseDate(DateVal) * Date mat be in the form of DD.MM.YY i.e. 01.10.03 * convert to YYYYMMDD SAP format Ans = "20" : DateVal[7,2] : DateVal[4,2] : DateVal[1,2] DeleteFiles: RoutineName = "DeleteFiles" If SourceDir = '' Then SourceDir = '.' If FileMask = '' SourceDir = '' Then Return(0) If System(91) Then OsType = 'NT'

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OsDelim NonOsDelim Delete End Else OsType OsDelim NonOsDelim Delete End

= '\' = '/' = 'del ' = 'UNIX' = '/' = '\' = 'rm ' : Flags : ' '

WorkFiles = Trims(Convert(',',@FM,FileMask)) FileList = Splice(Reuse(SourceDir),OsDelim,WorkFiles) Convert NonOsDelim To OsDelim In FileList OsCmd = Delete :' ' : FileList Call DSLogInfo('Deleting ':FileList,RoutineName) Call DSExecute(OsType,OsCmd,OsOutput,OsStatus) If OsStatus Then Residx= Index(OsOutput,"non-existent",1) if Index(OsOutput,"non-existent",1) = 0 then Call DSLogInfo('The Delete command (':Residx:OsCmd:') returned status ':OsStatus:':':@FM:OsOutput,RoutineName) End Else Call DSLogInfo('No Files matched Wild Card - Delete was not required...',RoutineName) OsStatus = 0 End End Else Call DSLogInfo('Files deleted...',RoutineName) End Ans = OsStatus

DisconnectNetworkDrive: Map a Network Drive on a Windows Server: Function Disconnectnetworkdrive(Drive_Letter) RoutineName = "MapNetworkDrive" If Drive_Letter = '' Then Return(0) OsType = 'NT' OsDelim = '\' NonOsDelim = '/' Copy = 'copy ' OsCmd = 'net use ' : Drive_Letter : ": /delete"

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Call DSLogInfo('Disconnecting Network Drive: ' : OsCmd,RoutineName) Call DSExecute(OsType,OsCmd,OsOutput,OsStatus) If OsStatus Then Call DSLogWarn('The Copy command (':OsCmd:') returned status ':OsStatus:':':@FM:OsOutput, RoutineName) End Else Call DSLogInfo('Drive: ' : Drive_Letter : 'Disconnected ',RoutineName) End Ans = OsStatus DosCmd: Move files from one directory to another: Function DosCmd(Cmd) RoutineName = "DosCmd" If System(91) Then OsType = 'NT' OsDelim = '\' NonOsDelim = '/' End Else OsType = 'UNIX' OsDelim = '/' NonOsDelim = '\' End OsCmd = Cmd Call DSLogInfo("CMD = " : Cmd,RoutineName) Call DSExecute(OsType,OsCmd,OsOutput,OsStatus) If OsStatus Then Call DSLogWarn('The command (':OsCmd:') returned status ':OsStatus:':':@FM:OsOutput, RoutineName) End Else Call DSLogInfo('The command (':OsCmd:') was successfull ':OsStatus:':':@FM:OsOutput,RoutineName) End Ans = OsStatus : " - " : OsOutput

DSMoveFiles: Move files from one directory to another: f SourceDir = '' Then SourceDir = '.' If TargetDir = '' Then TargetDir = '.' If FileMask = '' Or SourceDir = TargetDir Then Return(0) If System(91) Then

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OsType OsDelim NonOsDelim Move End Else OsType OsDelim NonOsDelim Move End

= 'NT' = '\' = '/' = 'move ' = = = =

'UNIX' '/' '\' 'mv -f '

WorkFiles = Trims(Convert(',',@FM,FileMask)) FileList = Splice(Reuse(SourceDir),OsDelim,WorkFiles) Convert NonOsDelim To OsDelim In FileList OsCmd = Move:' ' : FileList:

' ':TargetDir

Call DSLogInfo('Moving ':FileList: ' to ':TargetDir,'DSMoveFiles') Call DSExecute(OsType,OsCmd,OsOutput,OsStatus) If OsStatus Then Call DSLogInfo('The move command (':OsCmd:') returned status ':OsStatus:':':@FM:OsOutput,'DSMoveFiles') End Else Call DSLogInfo('Files moved...','DSMoveFiles') End Ans = OsStatus

Routine Name:ErrorMgmtDummy: Value: The Value to Be Mapped FieldName: The Name of the source field that the Value is contained in Format: The name of the Hash file containing the mapping data Default: The Default value to return if value is not found Msg: ny text you want to store against an error SeverityInd: The Error Severity Indicator: I-Information, W-Warning, E-Error, FFatal ErrorLogInd: An Indicator to indicate of errors should be logged (Note this is not yet implemented) HashFileLocation: A Hashfile could be either local to the Module or Generic. Enter "G" for Generic "L" for Local * FUNCTION Map(Value,FieldName,Format,Default,Msg,ErrorLogInd) * * Executes a lookup against a hashed file using a key * * Input Parameters : Arg1: Value = The Value to be Mapped or checked * Arg2: FieldName = The Name of the field that is either the Target of the Derivation or the sourceField that value is contained in

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* Arg3: Format = The name of the Hash file containing the mapping data * Arg4: Default = The Default value to return if value is not found * Arg5: Msg = Any text you want stored against an error * Arg6: SeverityInd = An Indicator to the servity Level * Arg7: ErrorLogInd = An Indicator to indicate if errors should be logged * Arg8: HashfileLocation = An Indicator to indicate of errors should be logged (Note this is not yet implemented) * * Return Values: If the Value is not found, return value is: -1. or the Default value if that is supplied * If Format Table not found, return value is: -2 * * * RoutineName = 'Map' Common /HashLookup/ FileHandles(100), FilesOpened Common /TicketCommon/ Ticket_Group, Ticket_Sequence, Set_Key, Mod_Root_Path, Generic_Root_Path, Chk_Hash_File_Name, Mod_Run_Num DEFFUN LogToHashFile(ModRunNum,Ticket_Group,Ticket_Sequence,Set_Key,Table,Fiel dName,Key,Error,Text,SeverityInd) Calling 'DSU.LogToHashFile' If (Ans = "-1" or Ans = "-2" or UpCase(Ans)= "BLOCKED") and ErrorLogInd = "Y" Then Ret_Code=LogToHashFile(Mod_Run_Num,Ticket_Group,Ticket_Sequence,Set_Key ,Table,FieldName,Chk_Value,Ans,Msg,SeverityInd) End RETURN(Ans) FileExists: Move files from one directory to another Function File Exits(Filename) Routine Name = "File Exists" File Found = @TRUE OPENSEQ FileName TO aFile ON ERROR STOP "Cannot open file (":FileName:")" THEN CLOSESEQ aFile END ELSE FileFound = @FALSE ;* file not found END

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Ans = FileFound

FileSize: Returns the size of a file Function FileSize(FileName) RoutineName = "FileSize" FileSize = -99 OPENSEQ FileName TO aFile ON ERROR STOP "Cannot open file (":FileName:")" THEN status FileInfo from aFile else stop FileSize=Field(FileInfo,@FM,4) * FileSize=FileInfo CLOSESEQ aFile END ELSE FileSize = -999 END Ans = FileSize

FindExtension: FunctionFindExtesion(Arg1) File_Name=Arg1 * Gets rid of the extension part of the filename LengthofFileName = Len(File_Name) Extension = Index(File_Name, ".", 1) If Extension <> 0 Then LengthofExtension = LengthofFileName - Extension + 1 File_Extension=File_Name[Extension,LengthofExtension] End Else End Ans = File_Extension

FindFileSuffix: Function FindFileSuffix(Arg1) File_Name=Arg1 * Gets rid of the extension part of the filename Extension = Index(File_Name, ".", 1) If Extension <> 0 Then MyLenRead=Index(File_Name, ".", 1) - 1 File_Name=File_Name[0,MyLenRead] End Else

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End * Gets the timestamp. Doesn't handle the case where there are suffix types and timestamp only contains 5 digits without "_" inbetween If Index(File_Name, "_", 6) = 0 Then MyLenRead=Index(File_Name, "_", 4) + 1 MyTimestamp = File_Name[MyLenRead,Len(File_Name)-1] End Else MyTimestamp = Field(File_Name,"_",5):"_":Field(File_Name,"_",6) End TimestampEndPos = Index(File_Name,MyTimestamp,1) + Len(MyTimestamp) MySuffix = File_Name[TimestampEndPos + 1, Len(File_Name)] Ans = MySuffix

FindTimeStamp: Function FindTimeStamp(Arg1) File_Name=Arg1 * Gets rid of the extension part of the filename Extension = Index(File_Name, ".", 1) If Extension <> 0 Then MyLenRead=Index(File_Name, ".", 1) - 1 File_Name=File_Name[0,MyLenRead] End Else End * Gets the timestamp. Doesn't handle the case where there are suffix types and timestamp only contains 5 digits without "_" inbetween If Index(File_Name, "_", 6) = 0 Then MyLenRead=Index(File_Name, "_", 4) + 1 Timestamp = File_Name[MyLenRead,Len(File_Name)-1] End Else Timestamp = Field(File_Name,"_",5):"_":Field(File_Name,"_",6) End Ans = Timestamp formatCharge: Function FormatCharge(Arg1) vCharge=Trim(Arg1, 0, "L") vCharge=vCharge/100 vCharge=FMT(vCharge,"R2") Ans=vCharge formatGCharge: Ans=1

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vLength=Len(Arg1) vMinus=If Arg1[1,1]='-' Then

1 Else 0

If Arg1='0.00' Then Ans=Arg1 End Else If vMinus=1 Then vString=Arg1[2,vLength-1] vString='-':Trim(vString, '0','L') End else vString=Trim(Arg1, '0','L') end Ans=vString End

FTPFile: Script_Path: he path to where the Unix Script file lives File_Path: The Value to Be Mapped File_Name: The Name of the source field that the Value is contained in IP_Address: The name of the Hash file containing the mapping data User_ID: The Default value to return if value is not found Password: Any text you want to store against an error Target_Path: The target path where the ifle is to saved on the target server

* FUNCTION FTPFile(Script_Path,File_Path,File_Name,IP_Address, User_ID,Password,Target_Path) * * RoutineName = 'FTPFile' OsCmd = Script_Path : "/ftp_put.sh":" ":File_Path:" ":File_Name:" ":IP_Address:" ":User_ID:" ":Password:" ":Target_Path :" ":Script_Path Call DSLogInfo('Ftp ':File_Name: ' to ' : IP_Address : ' ' :Target_Path,'FTPFile') Call DSLogInfo('Ftp Script = ':Script_Path,'FTPFile') Call DSExecute("UNIX",OsCmd,OsOutput,OsStatus) If OsStatus Then

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Call DSLogInfo('The FTP command (':OsCmd:') returned status ':OsStatus:':':@FM:OsOutput,'DSMoveFiles') End Else Call DSLogInfo('Files FTPd...': '(':OsCmd:')','FTPFile') End Ans = OsStatus RETURN(Ans)

FTPmget: * FUNCTION FTPFile(Script_Path,Source_Path,File_Wild_Card,IP_Address, User_ID,Password,Target_Path) * * RoutineName = 'FTPmget' OsCmd = Script_Path:"/ftp_Mget.sh":" ":Source_Path:" ":File_Wild_Card:" ":IP_Address:" ":User_ID:" ":Password:" ":Target_Path:" ":Script_Path *OsCmd = Script_Path : "/test.sh" Call DSLogInfo('Ftp ':File_Wild_Card: ' From ' : IP_Address : ' ' :Source_Path : ' to ' :Target_Path,RoutineName) Call DSExecute("UNIX",OsCmd,OsOutput,OsStatus) If OsStatus Then Call DSLogInfo('The FTP command (':OsCmd:') returned status ':OsStatus:':':@FM:OsOutput,'DSMoveFiles') End Else Call DSLogInfo('Files FTPd...': '(':OsCmd:')',RoutineName) End Ans = OsStatus RETURN(Ans)

Concatenate All Input Arguments to Output using TAB character Concatenate All Routine="GBIConcatItem" t = Char(009) If ISNULL(IND) THEN IND [1,1] If ISNULL(VKORG) THEN Pattern : t : VKORG [1,4] If ISNULL(VTWEG) THEN Pattern : t : VTWEG [1,2] If ISNULL(SPART) THEN Pattern : t : SPART [1,2]

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Pattern = ""

ELSE Pattern =

Pattern = Pattern : t

ELSE Pattern =

Pattern = Pattern : t

ELSE Pattern =

Pattern = Pattern : t

ELSE Pattern =

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If ISNULL(WERKS) THEN Pattern Pattern : t : WERKS [1,4] If ISNULL(AUART) THEN Pattern Pattern : t : AUART [1,4] If ISNULL(FKDAT) THEN Pattern Pattern : t : FKDAT [1,8] If ISNULL(KUNAG) THEN Pattern Pattern : t : KUNAG [1,10] If ISNULL(KUNRE) THEN Pattern Pattern : t : KUNRE [1,10] If ISNULL(MATNR) THEN Pattern Pattern : t : MATNR [1,18] If ISNULL(PSTYV) THEN Pattern Pattern : t : PSTYV [1,4] If ISNULL(KWMENG) THEN Pattern Pattern : t : KWMENG [1,15] If ISNULL(XBLNR) THEN Pattern Pattern : t : XBLNR [1,16] If ISNULL(VGPOS) THEN Pattern Pattern : t : VGPOS [1,6] If ISNULL(FKARA) THEN Pattern Pattern : t : FKARA [1,4] If ISNULL(ZOR_DT_PCODE) THEN Pattern Pattern : t : ZOR_DT_PCODE [1,8] If ISNULL(ZAWB) THEN Pattern Pattern : t : ZAWB [1,16] If ISNULL(LGORT) THEN Pattern Pattern : t : LGORT [1,4] If ISNULL(VKAUS) THEN Pattern Pattern : t : VKAUS [1,3] If ISNULL(VKBUR) THEN Pattern Pattern : t : VKBUR [1,4] If ISNULL(VKGRP) THEN Pattern Pattern : t : VKGRP [1,3] If ISNULL(ZLSCH) THEN Pattern Pattern : t : ZLSCH [1,1] If ISNULL(ZTERM) THEN Pattern Pattern : t : ZTERM [1,4] If ISNULL(KURSK) THEN Pattern Pattern : t : KURSK [1,9] If ISNULL(TAXM1) THEN Pattern Pattern : t : TAXM1 [1,1] If ISNULL(VRKME) THEN Pattern Pattern : t : VRKME [1,3] If ISNULL(ARKTX) THEN Pattern Pattern : t : ARKTX [1,40] If ISNULL(KTGRM) THEN Pattern Pattern : t : KTGRM [1,2] If ISNULL(ZZTAXCD) THEN Pattern Pattern : t : ZZTAXCD [1,2] If ISNULL(LAND2) THEN Pattern Pattern : t : LAND2 [1,3] If ISNULL(NAME1) THEN Pattern Pattern : t : NAME1 [1,35] If ISNULL(PSTLZ) THEN Pattern Pattern : t : PSTLZ[1,10]

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= Pattern : t

ELSE Pattern =

= Pattern : t

ELSE Pattern =

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ELSE Pattern =

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If ISNULL(ORT01) THEN Pattern : t : ORT01 [1,35] If ISNULL(KOSTL) THEN Pattern : t : KOSTL[1,10] If ISNULL(WAERS) THEN Pattern : t : WAERS [1,5] If ISNULL(KUNRG) THEN Pattern : t : KUNRG [1,10] If ISNULL(KUNWE) THEN Pattern : t : KUNWE [1,10]

Pattern = Pattern : t

ELSE Pattern =

Pattern = Pattern : t

ELSE Pattern =

Pattern = Pattern : t

ELSE Pattern =

Pattern = Pattern : t

ELSE Pattern =

Pattern = Pattern : t

ELSE Pattern =

Ans = Pattern

GBIConcatItem: Concatenate All Input Arguments to Output using TAB character: Routine="GBIConcatItem" t = Char(009) If ISNULL(IND) THEN [1,1] If ISNULL(KNUMV) THEN : t : KNUMV [1,16] If ISNULL(KPOSN) THEN : t : KPOSN [1,6] If ISNULL(KSCHL) THEN : t : KSCHL [1,4] If ISNULL(KBETR) THEN : t : KBETR [1,11] If ISNULL(KWERT) THEN : t : KWERT [1,13] If ISNULL(WAERS) THEN : t : WAERS [1,5] If ISNULL(KAWRT) THEN : t : KAWRT [1,15] If ISNULL(KHERK) THEN : t : KHERK [1,1]

Pattern = ""

ELSE Pattern = IND

Pattern = Pattern : t

ELSE Pattern = Pattern

Pattern = Pattern : t

ELSE Pattern = Pattern

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ELSE Pattern = Pattern

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Ans = Pattern

GCMFConvert: Receive GCMF string and change known strings to required values: DataIn = "":Trim(Arg1) If IsNull(DataIn) or DataIn = "" Then Ans = "" End Else DataIn = Ereplace (DataIn,"$B$","") DataIn = Ereplace (DataIn,"NULL","") DataIn = Ereplace (DataIn,"<","<") DataIn = Ereplace (DataIn,">",">") DataIn = Ereplace (DataIn,""",'"') DataIn = Ereplace (DataIn,"'","'") DataIn = Ereplace (DataIn,"&","&") DataIn = Ereplace (DataIn,"|","|")

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Ans = DataIn End

GCMFFormating: * * FUNCTION GCMFFormating(Switch, All_Row) * * Replaces some special characters when creating the GCMF file * * Input Parameters : Arg1: Switch = Step to change. * Arg2: All_Row = Row containing the GCMF Record. * DataIn=Trim(All_Row) If Switch=1 Then If IsNull(DataIn) or DataIn= "" Then Ans = "$B$" End Else DataInFmt = Ereplace (DataIn ,"&", "&") DataInFmt = Ereplace (DataInFmt ,"'", "'") DataInFmt = Ereplace (DataInFmt ,'"', """) Ans = DataInFmt End End Else If Switch=2 Then DataInFmt = Ereplace (DataIn ,">", ">") DataInFmt = Ereplace (DataInFmt ,"<", "<") Ans = DataInFmt End Else * Final Replace, After the Merge of all GCMF segments DataInFmt = Ereplace (DataIn ,"|", "|") Ans = DataInFmt End End

GeneralCounter: COMMON /Counter/ OldParam, TotCount NextId = Identifier IF UNASSIGNED(OldParam) Then OldParam = NextId TotCount = 0 END IF NextId = OldParam THEN

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TotCount += 1 END ELSE OldParam = NextId TotCount = 1 END Ans = TotCount

GetNextCustomerNumber: Sequence number generator. Routine to get the next sequence number to use for a customer from a file, and save the usde value in the file. The routine argument is the name associated with the super group that the customer is being created in. The routine uses a file to store the next available number. It reads the number, then increments and stores the value in common, writing the next value back to file each time. * Routine to generate the next customer number. The argument is a string used to * identify the super group for the customer. * * The routine uses a UniVerse file to store the next number to use. This * value is stored in a record named after the supplied argument. The * routine reads the number, then increments and stores the value * in common storage, writing the next value back to file each time. * * Declare shared memory storage. Common /CustSequences/ Initialized, NextVal, SeqFile EQUATE RoutineName TO 'GetNextCustomerNumber' If NOT(Initialized) Then * Not initialised. Attempt to open the file. Initialized = 1 Open "IOC01_SUPER_GRP_CTL_HF" TO SeqFile Else Call DSLogFatal("Cannot open customer number allocation control file",RoutineName) Ans = -1 End End * Read the named record from the file. Readu NextVal From SeqFile, Arg1 Else Call DSLogFatal("Cannot find super group in customer number allocation control file",RoutineName) Ans = -1 End

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Ans = NextVal * Increment the sequence value, and write back to file. NextVal = NextVal + 1 If Len(NextVal) < 10 then NextVal = Substrings("0000000000",1,10Len(NextVal)):NextVal Writeu NextVal On SeqFile, Arg1 Else Call DSLogFatal("Update to customer number allocation control file failed",RoutineName) Ans = -1 End

GetNextErrorTableID: Sequence number generator in a concurrent environment. Routine to generate a sequential number. The routine argument is the name associated with the sequence. The routine uses a file to store the next available number. It reads the number from the file on each invocation; a lock on the file prevents concurrent access. * Routine to generate a sequential number. The argument is a string used to * identify the sequence. * * NOTE: This routine uses locking to allow multiple processes to access the * same sequence. * * The routine uses a UniVerse file to store the next number to use. This * value is stored in a record named after the supplied argument. The * routine always attempts to read the number from the file, so that the * record for the sequence becomes locked. It increments and stores the * value in common storage, writing the next value back to file each * time. Writing back this value frees the lock. * * Declare shared memory storage. Common /ErrorTableSequences/ Initialized, NextVal, SeqFile EQUATE RoutineName TO 'GetNextErrorTableID' If NOT(Initialized) Then * Not initialised. Attempt to open the file. Initialized = 1 Open "ErrorTableSequences" TO SeqFile Else * Open failed. Create the sequence file. EXECUTE "CREATE.FILE ErrorTableSequences 2 1 1" Open "ErrorTableSequences" TO SeqFile Else Ans = -1 End End

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* Read the named record from the file. * This obtains the lock (waiting if necessary). Readu NextVal From SeqFile, Table_Name Else NextVal = 1 End Ans = NextVal NextVal = NextVal + 1 * Increment the sequence value, and write back to file. * This releases the lock. Write NextVal On SeqFile, Table_Name Else Ans = -1

GetNextModSeqNo: Gets the Next Mod Run Code from an Initialised Sequence This routine gets the next Mod Run Number in a squenced that was initialised,. The arguments are Mod_Code_Parm and Supplier_ID_Parm which combined form the key for this instance of a sequence GetParameterArray: * * * * * * * * *

GetParameterArray(Arg1) Decription: Get parameters Written by: Notes: Bag of Tricks Version 2.3.0 Release Date 2001-10-01 Arg1 = Path and Name of Parameter File Result = ( <1> = Parameter names, <2> = Parameter values) -----------------------------------------------------------DEFFUN FileFound(A) Calling 'DSU.FileFound' cBlank = '' cName = 1 cValue = 2 vParamFile = Arg1 aParam = cBlank vParamCnt = 0 vCurRoutineName = 'Routine: GetParameterArray' vFailed = @FALSE Done = @FALSE

IF vParamFile AND FileFound(vParamFile) Then OPENSEQ vParamFile TO hParamFile Then Loop READSEQ vLineRaw FROM hParamFile ON ERROR Call DSLogWarn('Error from ':vParamFile:'; Status = ':STATUS(),vCurRoutineName) CLOSE hParamFile vFailed = @TRUE

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Done = @TRUE End Then vLine = TRIM(vLineRaw) vFirstChar = LEFT(vLine,1) vRemark = LEFT(vLine,4) IF NOT(vFirstChar = cBlank OR vFirstChar = '#' OR vFirstChar = '*' OR vFirstChar = '"' OR vFirstChar = "'" OR vFirstChar = ';' OR vFirstChar = ':' OR vFirstChar = '[' OR vRemark = 'REM ') THEN vParamCnt += 1 ; * Add to any parameter array passed as an argument aParam<1,vParamCnt> = TRIM(FIELD(vLine,'=',cName)) aParam<2,vParamCnt> = FIELD(vLine,'=',cValue) END END ELSE Done = @TRUE END Until Done Do Repeat CLOSE hParamFile End Else Call DSLogWarn('Error from ':vParamFile:'; Status = ':STATUS(),vCurRoutineName) vFailed = @TRUE End End Else vFailed = @TRUE End Call DSLogInfo("Values loaded from file: ":vParamFile:@AM:aParam, vCurRoutineName) If vFailed Then Ans = "ERROR" End Else Ans = aParam End

LastDayofMonth: Returns the Last Day of the Month Deffun DSRMessage(A1,A2) Calling "*DataStage*DSR_MESSAGE" Equate TransformName To "ConvertMonth" * Check the format of the input value. If IsNull(Arg1) or (Len(Arg1) < 6) Then Ans = "" GoTo ExitLastDayMonth End InYear = Substrings(Arg1,1,4) InMonth = Substrings(Arg1,5,2) If InMonth < 1 Or InMonth > 12 Then Ans = "" GoTo ExitLastDayMonth End

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* Generate the required output, depending on the Action argument. Begin Case Case InMonth = "1" * Internal date for first day of month. OutDt ="31" Case InMonth = "2" * Internal date for first day of month. if mod(Num(InYear),4)<>0 then OutDt = "28" end if mod(Num(InYear),4)=0 then OutDt = "29" end Case InMonth = "3" * Internal date for first day of month. OutDt = "31" Case InMonth = "4" * Internal date for first day of month. OutDt = "30" Case InMonth = "5" * Internal date for first day of month. OutDt ="31" Case InMonth = "6" * Internal date for first day of month. OutDt ="30" Case InMonth = "7" * Internal date for first day of month. OutDt ="31" Case InMonth = "8" * Internal date for first day of month. OutDt ="31" Case InMonth = "9" * Internal date for first day of month. OutDt ="30" Case InMonth = "10" * Internal date for first day of month. OutDt ="30" Case InMonth = "11" * Internal date for first day of month. OutDt ="31" Case InMonth = "12" * Internal date for first day of month. OutDt ="31"

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End Case Ans=OutDt:"-":InMonth:"-":InYear ExitLastDayMonth:

LogToErrorFile: Logs errors to an error hashed file * FUNCTION LogToErrorFile(Table,Field_Name,Check_Value,Error_Number,Error_Text_1, Error_Text_2, Error_Text_3,Additional_Message) * * * Places the current Writes Error Messages to a Hash File * * Input Parameters : Arg1: Table = The name of Control table being checked * Arg2: Field_Name = The name of the Field that is in error * Arg3: Check_Value = The value used to look up in the Hash file to get try and get a look up match * Arg4: Error_Number = The error number returned * Arg5: Error_Text_1 = First error message argument. Used to build the default error message * Arg6: Error_Text_2 = Second error message argument. Used to build the default error message * Arg7: Error_Text_3 = Thrid error message argument. Used to build the default error message * Arg8: Additional_Message = Any text that could be stored against an error * RoutineName = "LogToErrorFile" Common /HashLookup/ FileHandles(100), FilesOpened Common /TicketErrorCommon/ ModRunID, TicketFileID, TicketSequence, TicketSetKey, JobStageName, ModRootPath $INCLUDE DSINCLUDE JOBCONTROL.H Ans = "ERROR" If System(91) OsType OsDelim NonOsDelim Move End Else OsType OsDelim NonOsDelim Move End

Then = 'NT' = '\' = '/' = 'move ' = = = =

'UNIX' '/' '\' 'mv -f '

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JobName = DSGetJobInfo (DSJ.ME , DSJ.JOBNAME) Path = ModRootPath : OsDelim :"error" : OsDelim FileName = "ErrorLog_HF." : ModRunID PathFile = Path : FileName Call DSLogInfo(Path:"-- checking --" : PathFile,RoutineName) vMessage = "INLOG Error Log = " : PathFile *Call DSLogInfo(vMessage, RoutineName ) vMessage = "INLOG Error Log Data = " : ModRunID : "|" : TicketFileID : "|" : TicketSequence : "|" : TicketSetKey : "|" : Table : "|" : Field_Name : "|" : Check_Value : "|" : Error_Number : "|" : Additional_Message *Call DSLogInfo(vMessage, RoutineName ) Key = JobName : JobStageName : ModRunID: TicketFileID : TicketSequence : TicketSetKey : Table : Field_Name Err_Rec = "" Err_Rec <1> = JobName Err_Rec <2> = JobStageName Err_Rec <3> = ModRunID Err_Rec <4> = TicketFileID Err_Rec <5> = TicketSequence Err_Rec <6> = TicketSetKey Err_Rec <7> = Table Err_Rec <8> = Field_Name Err_Rec <9> = Check_Value Err_Rec <10> = Error_Number Err_Rec <11> = Error_Text_1 Err_Rec <12> = Error_Text_2 Err_Rec <13> = Error_Text_3 Err_Rec <14> = Additional_Message

* Attempt to find the table name in our cache. Locate FileName in FilesOpened Setting POS Then Write Err_Rec To FileHandles(POS), Key Then TAns = 0 End Else TAns = -1 End End Else * Table is not in cache of opened tables, so open it. Openpath PathFile To FileHandles(POS) Then FilesOpened<-1> = FileName Write Err_Rec To FileHandles(POS), Key Then TAns = 0 Else TAns = -1 End End Else TAns = -2 End End

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Ans = "ERROR" Return(Ans)

LogToHashFile: * FUNCTION LogToHashFile(ModRunNum,TGrp,TSeg,SetKey,Table,FieldNa,KeyValue,Error,M sg,SeverityInd) * * * Places the current Writes Error Messages to a Hah File * * Input Parameters : Arg1: ModRunNum = The unique number allocated to a run of an Module * Arg2: Ticket_Group = The Ticket Group Number of the Current Row * Arg3: Ticket_Sequence = The Ticket Sequence Number of the Current Row * Arg4: Set_Key = A Key to identify a set of rows e.g. an Invoice Number to a set of invoice lines * Arg5: Table = The name of Control table being checked * Arg6: FieldNa = The name of the Field that is in error * Arg7: KeyValue = The value used to look up in the Hash file to get try and get a look up match * Arg8: Error = The error number returned * Arg9: Msg = Any text that could be stored against an error * Arg10: SeverityInd = An Indicator to state the error severity level RoutineName = "LogToHashFile" Common /HashLookup/ FileHandles(100), FilesOpened Common /TicketCommon/ Ticket_Group, Ticket_Sequence, Set_Key, Job_Stage_Name, Mod_Root_Path, Generic_Root_Path, Chk_Hash_File_Name, Mod_Run_Num $INCLUDE DSINCLUDE JOBCONTROL.H TAns = 0 If System(91) OsType OsDelim NonOsDelim Move End Else OsType OsDelim NonOsDelim Move

Then = 'NT' = '\' = '/' = 'move ' = = = =

'UNIX' '/' '\' 'mv -f '

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End *

JobName = DSGetJobInfo (DSJ.ME , DSJ.JOBNAME) StageName = DSGetStageInfo (DSJ.ME,DSJ.ME, DSJ.STAGENAME) Path = Mod_Root_Path : OsDelim :"error" : OsDelim FileName = "ErrorLog_HF." : Mod_Run_Num PathFile = Path : FileName *Message = "INLOG Error Log = " : PathFile *Call DSLogInfo(Message, RoutineName )

*Message = "INLOG Error Log Data = " : ModRunNum : "|" : TGrp : "|" : TSeq : "|" : Set_Key : "|" : Table : "|" : FieldNa : "|" : KeyValue : "|" : Error : "|" : Msg *Call DSLogInfo(Message, RoutineName ) Key = JobName : Job_Stage_Name : ModRunNum: TGrp : TSeq : SetKey : Table : FieldNa Err_Rec = "" Err_Rec <1> = JobName Err_Rec <2> = Job_Stage_Name Err_Rec <3> = ModRunNum Err_Rec <4> = TGrp Err_Rec <5> = TSeq Err_Rec <6> = SetKey Err_Rec <7> = Table Err_Rec <8> = FieldNa Err_Rec <9> = KeyValue Err_Rec <10> = Error Err_Rec <11> = Msg Err_Rec <12> = SeverityInd * Attempt to find the table name in our cache. Locate FileName in FilesOpened Setting POS Then Write Err_Rec To FileHandles(POS), Key Then TAns = 0 End Else TAns = -1 End End Else * Table is not in cache of opened tables, so open it. Openpath PathFile To FileHandles(POS) Then FilesOpened<-1> = FileName Write Err_Rec To FileHandles(POS), Key Then TAns = 0 Else TAns = -1 End End Else TAns = -2 End End

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Ans = TAns RETURN(Ans)

MandatoryFieldCheck: Check whether the field name passed is mandatory Routine to check to see if the passed field is populated, and if not, to check to see if it is mandatory. If the field contains "?", then it is handled as if it is blank. The routine uses a control table containing process name, field name, group name and exclusion flag to control mandatory or not. The routine arguments are the field name, the field, the group key, whether this is the first mandatory check for the record, and the process name when the first check flag is "Y". A variable kept in memory (Mandlist) is used to record the mandatory check failures. When the passed field name is "Getmand", no processing is performed except to return the Mandlist field. * Routine to check whether the passed field is filled, and if not, whether it is mandatory. * * The routine uses a UniVerse file "MANDATORY_FIELD_HF" which contains the mandatory field controls * * Arg1 Field name to be checked (literal) * Arg2 Field value * Arg3 Group name * Arg4 1st call for record * Arg5 The process name on the first call (this is saved in storage for subsequent calls) * * Declare shared memory storage. Common /Mandatory/ Initialized, SeqFile, DataIn, GroupIn, GroupV, Mandlist, ProcessIn, ProcessV EQUATE RoutineName TO 'MandatoryFieldCheck' *

*

Call DSLogInfo("Routine started":Arg1,RoutineName) If NOT(Initialized) Then Initialized = 1 Call DSLogInfo("Initialisation Started",RoutineName) Open "MANDATORY_FIELD_HF" TO SeqFile Else

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Call DSLogFatal("Cannot open Mandatory field control file",RoutineName) Ans = -1 End * Call DSLogInfo("Initialisation Complete",RoutineName) End If Arg4 = "Y" Then Mandlist = "" ProcessIn = "":Trim(Arg5) If IsNull(ProcessIn) or ProcessIn = "" Then ProcessV = " " Else ProcessV = ProcessIn End If Arg1 = "Getmand" Then Ans = Mandlist Else DataIn = "":Trim(Arg2) GroupIn = "":Trim(Arg3) If IsNull(GroupIn) or GroupIn = "" Then GroupV = " " Else GroupV = GroupIn If IsNull(DataIn) or DataIn = "" or DataIn = "?" Then * * Field is blank - check for mandatory * * Call DSLogInfo(Arg1:" blank - checking whether mandatory",RoutineName) * mystring = ProcessV:Arg1:GroupV:"X" Read Retval From SeqFile, mystring then * Call DSLogInfo(Arg1:" Group specifically excluded",RoutineName) Ans = 0 end else mystring = ProcessV:Arg1:GroupV Read Retval From SeqFile, mystring then * Call DSLogInfo(Arg1:" Group specifically included",RoutineName) Ans = 1 end else mystring = ProcessV:Arg1:"ALL" Read Retval From SeqFile, mystring then * Call DSLogInfo(Arg1:" Global mandatory",RoutineName) Ans = 1 end else * Call DSLogInfo(Arg1:" blank - not mandatory",RoutineName) Ans = 0

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end end end End Else Ans = 0 Call DSLogInfo(Arg1:" Not blank",RoutineName) End If Ans = 1 Then If Mandlist = "" Then Mandlist = Arg1 Else Mandlist = Mandlist:",":Arg1 end

*

End

Map:(Routinue Name) * FUNCTION Map(Value,FieldName,Format,Default,Msg,ErrorLogInd) * * Executes a lookup against a hashed file using a key * * Input Parameters : Arg1: Value = The Value to Be Mapped * Arg2: FieldName = The Name of the field that is either the Target of the Derivation or the sourceField that value is contained in * Arg3: Format = The name of the Hash file containing the mapping data * Arg4: Default = The Default value to return if value is not found * Arg5: Msg = Any text you want stored against an error * Arg6: SeverityInd = An Indicator to the servity Level * Arg7: ErrorLogInd = An Indicator to indicate if errors should be logged * Arg8: HashfileLocation = An Indicator to indicate of errors should be logged (Note this is not yet implemented) * * Return Values: If the Value is not found, return value is: -1. or the Default value if that is supplied * If Format Table not found, return value is: -2 * * * RoutineName = 'Map' Common /HashLookup/ FileHandles(100), FilesOpened Common /TicketCommon/ Ticket_Group, Ticket_Sequence, Set_Key, Job_Stage_Name, Mod_Root_Path, Generic_Root_Path, Chk_Hash_File_Name, Mod_Run_Num *Message = "Map Job Stage Name ==>" : Job_Stage_Name

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*

Call DSLogInfo(Message, RoutineName )

*Message = "Map Mod Root Path ==>" : Mod_Root_Path * Call DSLogInfo(Message, RoutineName ) *Message = "Generic Root Path ==>" : Generic_Root_Path * Call DSLogInfo(Message, RoutineName ) *Message = "Map Chk_Hash_File_Name ==>" : Chk_Hash_File_Name * Call DSLogInfo(Message, RoutineName ) *Message = "Map Mod_Run_Num ==>" : Mod_Run_Num * Call DSLogInfo(Message, RoutineName ) DEFFUN LogToHashFile(ModRunNum,Ticket_Group,Ticket_Sequence,Set_Key,Table,Fiel dName,Key,Error,Text,SeverityInd) Calling 'DSU.LogToHashFile' * If Len(Chk_Hash_File_Name) = 3 And HashFileLocation = "G" Then Format_Extn = Chk_Hash_File_Name Else Format_Extn = Mod_Run_Num [1,5] If System(91) OsType OsDelim NonOsDelim Move End Else OsType OsDelim NonOsDelim Move End

Then = 'NT' = '\' = '/' = 'move ' = = = =

'UNIX' '/' '\' 'mv -f '

ColumnPosition = 0 PositionReturn = 0 Table = Format If HashFileLocation = "G" then PathFormat = Generic_Root_Path : OsDelim :"format" : OsDelim: Format : "_HF." : Format_Extn End Else PathFormat = Mod_Root_Path : OsDelim :"format" : OsDelim : Format : "_HF." : Format_Extn End If IsNull(Value) then Chk_Value = "" Else Chk_Value = Value *Message = "Map PathFormat ==>" : PathFormat *Call DSLogInfo(Message, RoutineName ) *Message = "Value ==>" : Value *Call DSLogInfo(Message, RoutineName )

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*Message = "Format ==>" : Format *Call DSLogInfo(Message, RoutineName ) *Message = "Default ==>" : Default *Call DSLogInfo(Message, RoutineName ) *Message = "ErrorLogInd ==>" : ErrorLogInd *Call DSLogInfo(Message, RoutineName ) * Set the Default Answer for if a value is not found Begin Case Case UpCase(Default) = "NODEF" Default_Ans = "-1" Case Default = "PASS" NumFields = Dcount(Chk_Value, "|") If NumFields > 1 Then Default_Ans = Field(Chk_Value,"|",2) *Message = "Num Fields > 1 Default_Ans ==>" : Default_Ans : "#" : Chk_Value *Call DSLogInfo(Message, RoutineName ) End Else Default_Ans = Chk_Value *Message = "Num Fields NG 0 Default_Ans ==>" : Default_Ans : "#" : Chk_Value *Call DSLogInfo(Message, RoutineName ) End Case @TRUE If UpCase(Field(Default,"|",1)) <> "BL" Then Default_Ans = Default Else Default_Ans = -1 End Case * Determine if we are returning one column or entire row. If Num(ColumnPosition) then ColumnPosition = Int(ColumnPosition) If ColumnPosition > 0 and ColumnPosition < 99999 Then PositionReturn = 1 End End * Attempt to find the table name in our cache. Locate Format in FilesOpened Setting POS Then Read Rec From FileHandles(POS), Chk_Value Then If PositionReturn Then Ans = Rec Else Ans = Rec End Else Ans = Default_Ans End End Else

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* Table is not in cache of opened tables, so open it. Openpath PathFormat To FileHandles(POS) Then FilesOpened<-1> = Format Read Rec From FileHandles(POS), Chk_Value Else Rec = Default_Ans End If PositionReturn And Rec <> Default_Ans Then Ans = Rec End Else Ans = Rec End End Else Ans = "-2" End End If UpCase(Field(Default,"|",1)) = "BL" and Ans <> -2 Then If Chk_Value = "" then Ans = Field(Default,"|",2) End End *Message = "Outside LOGGING" : Mod_Run_Num: "|" : Ticket_Group : "|" : Ticket_Sequence "|" : Set_Key : "|" : Table : "|" : FieldName : "|" : Chk_Value : "|" : Msg *Call DSLogInfo(Message, RoutineName ) *Message = "OUTSIDE PASS Trans Default_Ans ==>" : Default_Ans : " Ans ==> " : Ans *Call DSLogInfo(Message, RoutineName ) LogPass = "N" If (Default = "PASS" and Default_Ans <> Ans) then LogPass = "Y" If LogPass = "Y" Then *Message = "PASS Trans Default_Ans ==>" : Default_Ans : " Ans ==> " : Ans *Call DSLogInfo(Message, RoutineName ) End If (Ans = "-1" or Ans = "-2" or UpCase(Ans)= "BLOCKED" or LogPass = "Y" or SeverityInd = "I") and ErrorLogInd = "Y" Then *Message = "Write to Log Ans==> " : Ans : " ErrorInd==> " : ErrorLogInd *Message = "LOGGING" : Mod_Run_Num: "|" : Ticket_Group : "|" : Ticket_Sequence : "|" : Table : "|" : FieldName : "|" : Chk_Value : "|" : Ans *Call DSLogInfo(Message, RoutineName )

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Ret_Code=LogToHashFile(Mod_Run_Num,Ticket_Group,Ticket_Sequence,Set_Key ,Table,FieldName,Chk_Value,Ans,Msg,SeverityInd) End RETURN(Ans)

OutputJobStats: Outputs the job link statistics $INCLUDE DSINCLUDE JOBCONTROL.H hJob = DSAttachJob(JobName, DSJ.ERRFATAL) Start_TS End_TS Elapsed_Secs_Cnt Job_Term_Status User_Status

= = = = =

DSGetJobInfo DSGetJobInfo DSGetJobInfo DSGetJobInfo DSGetJobInfo

(hJob, DSJ.JOBSTARTTIMESTAMP) (hJob,DSJ.JOBLASTTIMESTAMP) (hJob,DSJ.JOBELAPSED) (hJob,DSJ.JOBINTERIMSTATUS) (hJob,DSJ.USERSTATUS)

ErrCode = DSDetachJob(hJob) Ans = Start_TS : "|" : End_TS : "|" : Elapsed_Secs_Cnt : "|" : Job_Term_Status : "|" : User_Status Pattern: Routine="Pattern" Var_Len = len(Value) Pattern = Value For i = 1 To Var_Len If Num(Value [i,1]) Then Pattern [i,1] = "n" end Else If Alpha(Value [i,1]) Then Pattern[i,1] = "a" end Else Pattern[i,1] = Value [i,1] end end Next i Ans = Pattern Checks a passed field to see if it matches the pattern which is also passed.: The input field is checked to see if it conforms to the format that is also passed as a second parameter.

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The result of the routine is True is the pattern matches the required format, and false if it does not. If the second parameter is empty, then true is returned. Equate TransformName To "PatternMatchCheck" Begin Case Case Arg2 = "" Ans = 1

;* No pattern - so return true

Case Arg3 = "" ;* Only 1 pattern passed Ans = Arg1 Matches Arg2 Case 1 ;* All other cases Ans = Arg1 Matches Arg2 : CHAR(253) : Arg3 End Case

PrepareJob: $INCLUDE DSINCLUDE JOBCONTROL.H Job_Handle = DSAttachJob (Job_Name, DSJ.ERRWARN) ErrCode1=DSPrepareJob(Job_Handle) ErrCode2 = DSDetachJob(Job_Handle) Ans= ErrCode2

RangeCheck: * FUNCTION Map(Value,FieldName,Format,Default,Msg,ErrorLogInd) * * Executes a lookup against a hashed file using a key * * Input Parameters : Arg1: Value = The Value to be checked * Arg2: MinValue = The Min Value allowed * Arg3: MaxValue = The Max Value allowed * Arg4: FieldName = The Name of the Source field being checked * Arg5: Msg = Any text you want stored against an error * Arg6: SeverityInd = An Indicator to the servity Level * Arg7: ErrorLogInd = An Indicator to indicate if errors should be logged * * Return Values: If the Value is not found, return value is -1. else the value supplied is returned * * * RoutineName = 'RangeChk'

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Common /TicketCommon/ Ticket_Group, Ticket_Sequence,Set_Key, Mod_Root_Path, Generic_Root_Path, Chk_Hash_File_Name, Mod_Run_Num DEFFUN LogToHashFile(ModRunNum,Ticket_Group,Ticket_Sequence,Set_Key,Table,Fiel dName,Key,Error,Text,SeverityInd) Calling 'DSU.LogToHashFile' Table = "Min: " : MinValue "to Max: " : MaxValue Msg1 = "" Msg2 = "" Msg3 = "" Msg4 = "" Ans = "" If Num (Value) = 0 then Msg1 = "-Value is not a number" Ans = -2 End If Num (Value) = 0 then Msg2 = "-MinValue is not a number" Ans = -2 End If Num (Value) = 0 then Msg3 = "-MaxValue is not a number" Ans = -2 End If Ans <> -2 Then If Value < MinValue Or Value > MaxValue Then Msg4 = "-Value is outside the Range" Ans = -1 End End OutputMsg = Msg : Msg1 : Msg2 : Msg3: Msg4 *Call DSLogInfo(OutputMsg, RoutineName ) If Ans <> -1 and Ans <> -2 then Ans = Value If (Ans = "-1" or Ans = "-2") and ErrorLogInd = "Y" Then Ret_Code=LogToHashFile(Mod_Run_Num,Ticket_Group,Ticket_Sequence,Set_Key ,Table,FieldName,Value,Ans,OutputMsg,SeverityInd) End RETURN(Ans)

ReadParameter: Read parameter value from configuration file

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* * Function : ReadParameter - Read parameter value from configuration file * Arg : ParameterName (default=JOB_PARAMETER) * DefaultValue (default='') * Config file (default=@PATH/config.ini) * Return : Parameter value from config file Function Readparameters(parametersname,Defaultvalue,ConfigFile) * Function : ReadParameter - Read parameter value from configuration file * Arg : ParameterName (default=JOB_PARAMETER) * DefaultValue (default='') * Config file (default=@PATH/config.ini) * Return : Parameter value from config file * If ParameterName = "" Then ParameterName = "JOB_PARAMETER" If ConfigFile = "" Then ConfigFile = @PATH:"/config.ini" ParameterValue = DefaultValue OpenSeq ConfigFile To fCfg Else Call DSLogFatal("Error opening file ":ConfigFile, "ReadParameter") Loop While ReadSeq Line From fCfg If Trim(Field(Line,'=',1)) = ParameterName Then ParameterValue = Trim(Field(Line,'=',2)) Exit End Repeat CloseSeq fCfg Ans = ParameterValue RETURN(Ans) ReturnNumber: String=Arg1 Slen=Len(String) Scheck=0 Rnum="" For Scheck = 1 to Slen Schar=Substrings(String,Scheck,1) If NUM(Schar) then

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Rnum=Rnum:Schar End Next Outer Ans=Rnum

ReturnNumbers: length=0 length=LEN(Arg1); length1=1; Outer=length; postNum='' counter=1; For Outer = length to 1 Step -1 Arg2=Arg1[Outer,1] If NUM(Arg2) then length2=counter-1 if length2 = 0 then length2=counter postNum=RIGHT(Arg1,length2) END else postNum=RIGHT(Arg1,counter) END END counter=counter+1 Next Outer Ans=postNum

ReverseDate: Function ReverseDate(DateVal) * Function ReverseDate(DatelVal) * Date mat be in the form of DDMMYYYY i.e. 01102003 or DMMYYYY 1102003 If Len(DateVal) = 7 then NDateVal = "0" : DateVal End Else NDateVal = DateVal End Ans = NDateVal[5,4] : NDateVal[3,2] : NDateVal[1,2]

RunJob:

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The routine runs a job. Job parameters may be supplied. The result is a dynamic array containing the job status, and row count information for each link. The routine UtilityGetRunJobInfo can be used to interpret this result. As well as the job name and job parameters, the routine parameters allow the job warning limit and row count limit to be set. Format of returned dynamic array: Status<1>=Jobname=FinishStatus Status<2>=Jobname Status<3>=JobStartTimeStamp Status<4>=JobStopTimeStamp Status<5>=LinkNames (value mark @VM delimited) Status<6>=RowCount (value mark @VM delimited)

FunctionRunJob(Arg1,Arg2,Arg3,Arg4) * Demonstrate how to run a job within the GUI development enviroment. Arguments may * be passed in. The result is a dynamic array with the resulting status and run * statistics (row counts for every link on every stage in the job) * $INCLUDE DSINCLUDE JOBCONTROL.H Equate Equate Equate Equate Equate

RoutineName To 'RunJob' RunJobName to Arg1 Params To Arg2 RowLimit To Arg3 WarnLimit To Arg4

Dim Param(100,2) ;* Limited to max of 100 parameters Deffun DSRMessage(A1, A2, A3) Calling "*DataStage*DSR_MESSAGE" Deffun DSRTimestamp Calling "DSR_TIMESTAMP" JobHandle = '' Info = '' ParamCount = Dcount(Params,'|') If RowLimit = '' Then RowLimit = 0 If WarnLimit = '' Then WarnLimit = 0 For ParamNum = 1 to ParamCount Param(ParamNum,1) = Field(Field(Params,'|',ParamNum),'=',1) Param(ParamNum,2) = Field(Field(Params,'|',ParamNum),'=',2) Next ParamNum JobStartTime = DSRTimestamp()

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JobHandle = DSAttachJob(RunJobName, DSJ.ERRFATAL) * Prepare the job ErrorCode = DSPrepareJob(JobHandle) Message = DSRMessage('DSTAGE_TRX_I_0014', 'Attaching job for processing - %1 - Status of Attachment = %2', RunJobName:@FM:JobHandle ) Call DSLogInfo(Message, RoutineName) LimitErr = DSSetJobLimit(JobHandle, DSJ.LIMITROWS, RowLimit) LimitErr = DSSetJobLimit(JobHandle, DSJ.LIMITWARN, WarnLimit) * Need to check if error occurred. ListOfParams = DSGetJobInfo(JobHandle, DSJ.PARAMLIST) ListCount = Dcount(ListOfParams,',') For ParamNum = 1 To ParamCount Message = DSRMessage('DSTAGE_TRX_I_0015', 'Setting Job Param - %1 Setting to %2', Param(ParamNum,1):@FM:Param(ParamNum,2)) Call DSLogInfo(Message, RoutineName) ErrCode = DSSetParam(JobHandle, Param(ParamNum,1),Param(ParamNum,2)) Next ParamNum ErrCode = DSRunJob(JobHandle, DSJ.RUNNORMAL) ErrCode = DSWaitForJob(JobHandle) Status = DSGetJobInfo(JobHandle, DSJ.JOBSTATUS) JobEndTime = DSRTimestamp() If Status = DSJS.RUNFAILED Then Message = DSRMessage( 'DSTAGE_TRX_E_0020', 'Job Failed: %1', RunJobName) Call DSLogWarn(Message, RoutineName) End * Retrieve more information about this job run. Message = DSRMessage('DSTAGE_TRX_I_0016', 'Getting job statistics', '' ) Call DSLogInfo(Message, RoutineName) StageList = DSGetJobInfo(JobHandle,DSJ.STAGELIST) Message = DSRMessage('DSTAGE_TRX_I_0017', 'List of Stages=%1', StageList ) Call DSLogInfo(Message, RoutineName) StageCount = Dcount(StageList, ',') stages.

; * Count number of active

Info<1> = RunJobName Info<2> = JobStartTime ;* StartTime (Timestamp format) Info<3> = JobEndTime ;* Now/End (Timestamp format) FOR Stage = 1 To StageCount * Get links on this stage. LinkNames = DSGetStageInfo(JobHandle,Field(StageList,',',Stage),DSJ.LINKLIST) Message = DSRMessage( 'DSTAGE_TRX_I_0018', 'LinkNames for Stage.%1 = %2', Field(StageList,',',Stage):@FM:LinkNames)

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Call DSLogInfo(Message, RoutineName) LinkCount = Dcount(LinkNames,',') For StageLink = 1 To LinkCount * Get Rowcount For this linkname RowCount = DSGetLinkInfo(JobHandle,Field(StageList,',',Stage),Field(LinkNames,',', StageLink),DSJ.LINKROWCOUNT) Message = DSRMessage( 'DSTAGE_TRX_I_0019', 'RowCount for %1.%2=%3', Field(StageList,',',Stage):@FM:Field(LinkNames,',',StageLink):@FM:RowCo unt) Call DSLogInfo(Message, RoutineName) Info<4,-1> = Field(StageList,',',Stage):'.':Field(LinkNames,',',StageLink) Info<5,-1> = RowCount Next StageLink Next Stage Message = DSRMessage( 'DSTAGE_TRX_I_0020', 'RunJob Status=%1', Info ) Call DSLogInfo(Message, RoutineName) Ans = RunJobName:'=':Status:@FM:Info

RunJobAndDetach: The routine runs a job. Job parameters may be supplied. The job is detached from so tht others may be started immediately and the control job finish. As well as the job name and job parameters, the routine parameters allow the job warning limit and row count limit to be set.

FunctionRunDetachJob(Arg1,Arg2,Arg3,Arg4) * Run a job, and detach from it so that this job can end * $INCLUDE DSINCLUDE JOBCONTROL.H Equate Equate Equate Equate Equate

RoutineName RunJobName Params RowLimit WarnLimit

To To To To To

'RunJobAndDetach' Arg1 Arg2 Arg3 Arg4

Dim Param(100,2) ;* Limited to max of 100 parameters Deffun DSRMessage(A1, A2, A3) Calling "*DataStage*DSR_MESSAGE" Deffun DSRTimestamp Calling "DSR_TIMESTAMP"

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JobHandle = '' Info = '' ParamCount = Dcount(Params,'|') If RowLimit = '' Then RowLimit = 0 If WarnLimit = '' Then WarnLimit = 0 For ParamNum = 1 to ParamCount Param(ParamNum,1) = Field(Field(Params,'|',ParamNum),'=',1) Param(ParamNum,2) = Field(Field(Params,'|',ParamNum),'=',2) Next ParamNum * Attach to the job JobHandle = DSAttachJob(RunJobName, DSJ.ERRWARN) If JobHandle = 0 Then Call DSLogInfo("Job ":RunJobName:" not started - attach failed",RoutineName) Else * Prepare the job ErrorCode =

DSPrepareJob(JobHandle)

Message = DSRMessage('DSTAGE_TRX_I_0014', 'Attaching job for processing - %1 - Status of Attachment = %2', RunJobName:@FM:JobHandle ) Call DSLogInfo(Message, RoutineName) LimitErr = DSSetJobLimit(JobHandle, DSJ.LIMITROWS, RowLimit) LimitErr = DSSetJobLimit(JobHandle, DSJ.LIMITWARN, WarnLimit) * Need to check if error occurred. ListOfParams = DSGetJobInfo(JobHandle, DSJ.PARAMLIST) ListCount = Dcount(ListOfParams,',') For ParamNum = 1 To ParamCount Message = DSRMessage('DSTAGE_TRX_I_0015', 'Setting Job Param %1 Setting to %2', Param(ParamNum,1):@FM:Param(ParamNum,2)) Call DSLogInfo(Message, RoutineName) ErrCode = DSSetParam(JobHandle, Param(ParamNum,1),Param(ParamNum,2)) Next ParamNum ErrCode = DSRunJob(JobHandle, DSJ.RUNNORMAL) ErrCode = DSDetachJob(JobHandle) End Ans = 0 RunShellCommandReturnStatus: Function RunShellcommandreturnstatus(Command) Call DSLogInfo('Running command:':Command,'RunShellCommandReturnStatus') Call DSExecute('UNIX',Command,Ans,Ret)

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Call DSLogInfo('Output from command:':Ans,'RunShellCommandReturnStatus') Return(Ret)

SegKey: Segment_Num: An Integer number representing the order number of the Segment in the IDoc Segment_Parm: A Segment Parameter containing a string of Y's and N's in order of Segment_Num denoting of the segment should be written to in this Module Key: The Value to Be Mapped ErrorLogInd: An Indicator to indicate of errors should be logged (Note this is not yet implemented) Function Seqkey(Segment_Num,segmentparam,key,ErrorLogInd) * FUNCTION SegKey(Value,ErrorLogInd) * * Executes a lookup against a hashed file using a key * * Input Parameters : Arg1: Segment_Num * Arg2: Segment_Parm * Arg1: Key = An ordered Pip separated set of Seqment Primary Key Fields * Arg2: ErrorLogInd = An Indicator to indicate of errors should be logged (Note this is not yet implemented) * * Return Values: If the Value is not found, return value is: -1. or the Default value if that is supplied * If Format Table not found, return value is: -2 * * * RoutineName = 'SegKey' BlankFields = "" CRLF = Char(13) : Char(10) Message = "IN Seg Key" : Segment_Num : "|" : Segment_Parm : "|" : Key : "|" : ErrorLogInd : "|" * Call DSLogInfo(Message, RoutineName ) * Determine if this segment should output Write_Ind = Field(Segment_Parm,"|",Segment_Num) If Write_Ind = "Y" then * Count how many keys

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NumKeys = Dcount(Key,"|") * Make a list of any keys that are missing Blank_Key_Cnt = 0 ReturnKey = "" For i = 1 to NumKeys Key_Part = Field(Key,"|",i) if Key_Part = "" Then Blank_Key_Cnt = Blank_Key_Cnt + 1 BlankFields = i end ReturnKey = ReturnKey : Key_Part Next i If Blank_Key_Cnt > 0 and ErrorLogInd = "Y" then Message = "Error in Segment Key: ": Segment_Num : " There are " : Blank_Key_Cnt : " Missing Key Parts " : "The Missing Key Parts are" : BlankFields * Call DSLogInfo(Message, RoutineName ) End If Blank_Key_Cnt > 0 then Ans = "Invalid_Key" End Else Ans = ReturnKey End End Else Ans = "Invalid_Key" End SetDSParamsFromFile: A before job subroutine to set Job parameters from an external flat file Input Arg should be of the form: ParamDir,ParamFile If ParamDir is not supplied, the routine assumes the Project directory If ParamFile is not supplied, the routine assumes the Job Name (this could be dangerous) The routine will abort the job if anything doesn't go to plan Note: a lock is placed to stop the same job from running another instance of this routine. The second instance will have to wait for the routine to finish before being allowed to proceed. The lock is released however the routine terminates (normal, abort...) The parameter file should contain non-blank lines of the form ParName = ParValue White space is ignored.

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The Routine may be invoked via the normal Before Job Subroutine setting, or from within the 'Job Properties->Job Control' window by entering "Call DSU.SetParams('MyDir,MyFile',ErrorCode)" For Andrew Webb's eyes only The routine could be made to work off a hashed file, or environment variables quite easily. It is not possible to create Job Parameters on-the-fly because they are referenced within a Job via an EQUATE of the form JobParam%%1 = STAGECOM.STATUS<7,1> JobParam%%2 = STAGECOM.STATUS<7,2> etc This is then compiled up....So forget it! Subroutinues SetDsparmsformfile(inputArg,Errorcode) $INCLUDE $INCLUDE $INCLUDE $INCLUDE

DSINCLUDE DSINCLUDE DSINCLUDE DSINCLUDE

DSD_STAGE.H JOBCONTROL.H DSD.H DSD_RTSTATUS.H

Equ SetParams To 'SetDSParamsFromFile' ErrorCode = 0 stop the stage/job

; * set this to non-zero to

JobName = Field(STAGECOM.NAME,'.',1,2) ParamList = STAGECOM.JOB.CONFIG If ParamList = '' Then Call DSLogWarn('Parameters may not be externally derived if the job has no parameters defined.',SetParams) Return End Call DSLogInfo("SetDSParmsFromFile inputarg >" : InputArg : "<", SetParms) ArgList = Trims(Convert(',',@FM,InputArg)) ParamDir = ArgList<1> If ParamDir = '' Then ParamDir = '.' End ParamFile = ArgList<2> If ParamFile = '' Then ParamFile = JobName End If System(91) Then Delim = '\' End Else

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Delim = '/' End ParamPath = ParamDir:Delim:ParamFile Call DSLogInfo('Setting Job Parameters from external source ':ParamPath,SetParams) Call DSLogInfo(JobName:' - ':ParamList,SetParams) OpenSeq ParamPath To ParamFileVar On Error ErrorCode = 1 Call DSLogFatal('File open error on ':ParamPath:'. Status = ':Status(),SetParams) End Else Call DSLogWarn('File ':ParamPath:' not found - using default parameters.',SetParams) Return End StatusFileName = FileInfo(DSRTCOM.RTSTATUS.FVAR,1) Readvu LockItem From DSRTCOM.RTSTATUS.FVAR, JobName, 1 On Error Call DSLogFatal('File read error for ':JobName:' on ':StatusFileName:'. Status = ':Status(),SetParams) ErrorCode = 1 Return End Else Call DSLogFatal('Failed to read ':JobName:' record from ':StatusFileName,SetParams) ErrorCode = 2 Return End

StatusId = JobName:'.':STAGECOM.WAVE.NUM Readv ParamValues From DSRTCOM.RTSTATUS.FVAR, StatusId, JOB.PARAM.VALUES On Error Release DSRTCOM.RTSTATUS.FVAR, JobName On Error Null ErrorCode = 1 Call DSLogFatal('File read error for ':StatusId:' on ':StatusFileName:'. Status = ':Status(),SetParams) Return End Else Release DSRTCOM.RTSTATUS.FVAR, JobName On Error Null ErrorCode = 2 Call DSLogFatal('Failed to read ':StatusId:' record from ':StatusFileName,SetParams) Return End Loop ReadSeq ParamData From ParamFileVar On Error Release DSRTCOM.RTSTATUS.FVAR, JobName On Error Null ErrorCode = 4

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Call DSLogFatal('File read error on ':ParamPath:'. Status = ':Status(),SetParams) Return End Else Exit End Convert '=' To @FM In ParamData ParamName = Trim(ParamData<1>) Del ParamData<1> ParamValue = Convert(@FM,'=',TrimB(ParamData)) Locate(ParamName,ParamList,1;ParamPos) Then If Index(UpCase(ParamName),'PASSWORD',1) = 0 Then Call DSLogInfo('Parameter "':ParamName:'" set to "':ParamValue:'"',SetParams) Else Call DSLogInfo('Parameter "':ParamName:'" set but not displayed on log',SetParams) End Else Call DSLogWarn('Parameter ':ParamName:' does not exist in Job ':JobName,SetParams) Continue End ParamValues<1,ParamPos> = ParamValue Repeat Writev ParamValues On DSRTCOM.RTSTATUS.FVAR, StatusId, JOB.PARAM.VALUES On Error Release DSRTCOM.RTSTATUS.FVAR, JobName On Error Null ErrorCode = 5 Call DSLogFatal('File write error for ':StatusId:' on ':StatusFileName:'. Status = ':Status(),SetParams) Return End Else Release DSRTCOM.RTSTATUS.FVAR, JobName On Error Null ErrorCode = 6 Call DSLogFatal('Unable to write ':StatusId:' record on ':StatusFileName:'. Status = ':Status(),SetParams) Return End Release DSRTCOM.RTSTATUS.FVAR, JobName On Error Null STAGECOM.JOB.STATUS<JOB.PARAM.VALUES> = ParamValues

setParamsForFileSplit: Using values from a control file this routine will run a job multiple times loading the specified number of rows for each job run. Function setParamsForFileSplit:(ControlFilename,Jobname) *********************************************************************** * Nick Bond.... *

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* This routine retrieves values from a control file and passes them as paramters to * * a job which is run once for each record in the control file. * * * *********************************************************************** $INCLUDE DSINCLUDE JOBCONTROL.H Equate Routine TO 'setParamsForFileSplit' Call DSLogInfo('Starting Routine ', Routine) vFileName = ControlFileName vJobName = JobName vRecord = 1 ******** Open Control File and retrieve split values. Call DSLogInfo('Opening File: ':vFileName, Routine) OPEN vFileName TO vFILE ELSE Call DSLogFatal("Can't open file: ":vFileName, Routine) Call DSLogInfo('File is open: ':vFileName, Routine) ******** Start loop which gets parameters from control file and runs job. Loop ** Check record exists for record id READ vStart FROM vFILE, vRecord Then Call DSLogInfo('Loop Started: ':vFileName, Routine) Call DSLogInfo('Control File ID: ':vRecord, Routine) READV vStart FROM vFILE, vRecord, 4 Then READV vStop FROM vFILE, vRecord, 5 Then Call DSLogInfo('Load Records: ':vStart: ' to ' :vStop, Routine) End End ** Set Job Parameters and Run Job. vNewFile = 'SingleInvoice':vRecord vJobHandle = DSAttachJob(vJobName, DSJ.ERRFATAL) ErrCode = DSSetParam(vJobHandle, 'StartID', vStart) ErrCode = DSSetParam(vJobHandle, 'StopID', vStop) ErrCode = DSSetParam(vJobHandle, 'newfile', vNewFile ) ErrCode = DSRunJob(vJobHandle, DSJ.RUNNORMAL) ErrCode = DSWaitForJob(vJobHandle)

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vRecord = vRecord+1 End Else ** If record is empty leave loop GoTo Label1 End Repeat ******** End of Loop Label1: Call DSLogInfo('All records have been processed', Routine) Ans = vStart : ', ' : vStop

SetUserStatus: Function Setuserstatus(Arg1) Call DSSetUserStatus(Arg1) Ans=Arg1

SMARTNumberConversion Converts numbers in format 1234,567 to format 1234.57 Function SMARTNUMBERconversion(arg1) INP = CONVERT(",",".",Arg1) WRK = ICONV(INP,"MD33") decimal places Ans = OCONV(WRK,"MD23") decimal places

; * Commas to decimal point ; * convert to internal to 3 ; * convert to external t 2

TicketErrorCommon Required to use the "LogToErrorFile" Routine. This stores variables used by the routine in shared memory: * FUNCTION TicketErrorCommon(Mod_Run_ID,Ticket_Group,Ticket_Sequence,Ticket_Set_Ke y,Job_Stage_Name,Mod_Root_Path) * * Places the current Row Ticket in Common * * Input Parameters : Arg1: Mod_Run_ID = The unique number allocated to a run of an Module * Arg2: Ticket_File_ID = The File ID assigned to the source of the Current Row * Arg3: Ticket_Sequence = The Ticket Sequence Number of the Current Row

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* Arg4: Ticket_Set_Key = Identifies a set of rows e.g. an Invoice number to set of invoice lines * Arg5: Job_Stage_Name = The Name of the Stage in the Job you want recorded in the error log * Arg6: Mod_Root_Path = Root of the module - used for location of error hash file * * Don't Return Ans but need to keep the compiler happy Ans = "" RoutineName = 'ErrorTicketCommon' Common /TicketErrorCommon/ ModRunID, TicketFileID, TicketSequence, SetKey, JobStageName, ModRootPath

ModRunID = Mod_Run_ID TicketFileID = Ticket_File_ID TicketSequence = Ticket_Sequence SetKey = Ticket_Set_Key JobStageName = Job_Stage_Name ModRootPath = Mod_Root_Path RETURN(Ans)

TVARate: Function TvaRate(mtt_Base,mtt_TVA) BaseFormated = "":(Mtt_Base) TvaFormated = "":(Mtt_TVA) If IsNull(BaseFormated) or BaseFormated = "0" or BaseFormated= "" Then Ans = 0 End Else TvaFormated = Ereplace(TvaFormated, ".", "") TvaFormated = Ereplace(TvaFormated, ",", "") BaseFormated = Ereplace(BaseFormated, ".", "") BaseFormated = Ereplace(BaseFormated, ",", "") Ans = Ereplace(TvaFormated/BaseFormated, ".", "") End

TVATest: Function Tvatest(Mtt_TVA,Dlco) Country = TRIM(Dlco):";" TestCountry = Count("AT;BE;CY;CZ;DE;DK;EE;ES;FI;GB;GR;HU;IE;IT;LT;LU;LV;MT;NL;PL;PT;S E;SI;SK;", Country) Begin Case Case Mtt_TVA <> 0

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Reply = "B3" Case Mtt_TVA = 0 And Dlco = "FR" And TestCountry = 0 Reply = "A1" Case Mtt_TVA = 0 And Dlco <> "FR" And TestCountry = 1 Reply = "E6" Case Mtt_TVA = 0 And Dlco <> "FR" And TestCountry = 0 Reply = "E7" Case @True Reply = "Error" End Case Ans = Reply

UnTarFile: Function Untarfile(Arg1) DIR = "/interface/dashboard/dashbd_dev_dk_int/Source/" FNAME = "GLEISND_OC_02_20040607_12455700.csv" *CMD = "ll -tr ":DIR:"|grep ":FNAME *CMD = "cmp -s ":DIR:"|grep ":FNAME CMD = "tar -xvvf ":DIR:FNAME *-------------------------------*---syntax= tar -xvvf myfile.tar *--------------------------------Call DSExecute("UNIX", CMD, Output, SystemReturnCode) Ans = Output UtilityMessageToControllerLog Write an informational message to the log of the controlling job This routine takes a user defined message and displays it in the job log of the controlling sequence as an informational message. The routine should be used sparingly in production jobs to avoid degrading the performance. The return value of the function is always 1.: Function UtilityMessageToControllerLog(Arg1) * Write an informational message to the log of the controlling job. * * This function is mainly intended for development purposes, but can be used * within a production environment for tracing data values. The user should

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* use this function cautiously, as it will cause a decrease in performance * if called often. * $include DSINCLUDE JOBCONTROL.H Equate RoutineName To "UtilityMessageToControllerLog" InputMsg = Arg1 If Isnull(InputMsg) Then InputMsg = " " End Call DSLogToController(InputMsg) Ans = 1

UTLPropagateParms: Routine allows a job to inherit parameter values from Job Control. This routine allows a job to inherit parameter values from Job Control by listing the parameters of child job and thereafter find the parameter in the parent job, getting value and setting parameter value in child job. Input Argument : Job handle (set by using DSAttachJob in Job Control) Output : If a parameter is not found the routine returns 3, otherwise 0. Function UTLprapagateparam(Handle) #include DSINCLUDE JOBCONTROL.H Equ Me To 'UTLJobRun' Ans = 0 ParentJobName = DSGetJobInfo(DSJ.ME,DSJ.JOBNAME) ChildParams = Convert(',',@FM,DSGetJobInfo(Handle,DSJ.PARAMLIST)) ParamCount = Dcount(ChildParams,@FM) If ParamCount Then ParentParams = Convert(',',@FM,DSGetJobInfo(DSJ.ME,DSJ.PARAMLIST)) Loop ThisParam = ChildParams<1> Del ChildParams<1> *** Find job parameter in parent job and set parameter in child job to value of parent. Locate(ThisParam,ParentParams;ParamPos) Then ThisValue = DSGetParamInfo(DSJ.ME,ThisParam,DSJ.PARAMVALUE) ParamStatus = DSSetParam(Handle,ThisParam,ThisValue) Call DSLogInfo ("Setting: ":ThisParam:" To: ":ThisValue, "UTLPropagateParms")

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End Else *** If the parameter is not found in parent job: *** - write a warning to log file. *** - return code changed to 3. Call DSLogWarn ("Parameter : ":ThisParam:" does not exist in ":ParentJobName, "UTLPropagateParms") Ans = 3 End While ChildParams # '' Do Repeat End Return(Ans)

UTLRunReceptionJob: This routines allows generic starting of reception jobs without creating specific Reception Processing Sequence. This routines allows generic starting of reception jobs without creating specific Reception Processing Sequence. - Determines job to launch (sequence or elementary job) - Attaches job - Propagates parameters using routine UTLPropagateParms. - Runs job and takes action upon result (any warning will lead to a return code NOT OK) Obligatory parameters in input are : - Country_Parm - Fileset_Name_Type_Parm - Abort_Msg_Parm - Module_Run_Parm Function Utilrunrece[pationjob(countryparam,fileset_name_typeparam,modulerunparam,Ab ort_msg_param) $INCLUDE DSINCLUDE DSJ_XFUNCS.H $INCLUDE DSINCLUDE JOBCONTROL.H EQU Time$$ Lit "Oconv(Time(), 'MTS:'):': '" Ans = -3 vRecJobNameBase = Country_Parm : "_" : Fileset_Name_Type_Parm : "_Reception" *********************************************************************** **************** *** ################### ***

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*********************************************************************** **************** *** Define job to launch - Sequence or Job (START) *** *** *** L$DefineSeq$START: summary$<1,-1> = Time$$:Convert(@VM, " ", DSMakeMsg("DSTAGE_JSG_M_0057\%1 (JOB %2) started", "ReceptionJob":@FM:vRecJobNameBase)) ** If Sequential Job exists - start Sequential Job. vJobSuffix = "_Seq" vRecJobName = vRecJobNameBase : vJobSuffix GoTo L$AttachJob$START L$DefineJob$START: ** If no Sequential Job - start Elementary Job vJobSuffix = "_Job" vRecJobName = vRecJobNameBase : vJobSuffix GoTo L$AttachJob$START L$ErrNoJob$START: ** If no job found - warn and end job Msg = DSMakeMsg("No job found to attach" : vRecJobNameBase : "_Seq or _Job", "") MsgId = "@ReceptionJob" GoTo L$ERROR L$AttachJob$START: Call DSLogInfo(DSMakeMsg("Checking presence of " : vRecJobName : " for " : Module_Run_Parm, ""), "") jbRecepJob = vRecJobName hRecepJob = DSAttachJob(jbRecepJob, DSJ.ERRNONE) If (Not(hRecepJob)) Then AttachErrorMsg$ = DSGetLastErrorMsg() If AttachErrorMsg$ = "(DSOpenJob) Cannot find job " : vRecJobName Then If vJobSuffix = "_Seq" Then GoTo L$DefineJob$START Else GoTo L$ErrNoJob$START End End Msg = DSMakeMsg("DSTAGE_JSG_M_0001\Error calling DSAttachJob(%1)%2", jbRecepJob:@FM:AttachErrorMsg$) MsgId = "@ReceptionJob"; GoTo L$ERROR GoTo L$ERROR End If hRecepJob = 2 Then GoTo L$RecepJobPrepare$START End *** *** *** Define job to launch - Sequence or Job (END) *** *********************************************************************** ****************

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*** ################### *** *********************************************************************** **************** *** Setup , Run and Wait for Reception Job (START) *** *** *** L$RecepJobPrepare$START: *** Activity "ReceptionJob": Setup, Run and Wait for job hRecepJob = DSPrepareJob(hRecepJob) If (Not(hRecepJob)) Then Msg = DSMakeMsg("DSTAGE_JSG_M_0012\Error calling DSPrepareJob(%1)%2", jbRecepJob:@FM:DSGetLastErrorMsg()) MsgId = "@ReceptionJob"; GoTo L$ERROR End summary$<1,-1> = Time$$:Convert(@VM, " ", DSMakeMsg("DSTAGE_JSG_M_0057\%1 (JOB %2) started", "ReceptionJob":@FM:vRecJobName)) GoTo L$PropagateParms$START L$PropagateParms$START: *** Activity "PropagateParms": Propagating parameters from parent job to child job using separate routine. summary$<1,-1> = Time$$:Convert(@VM, " ", DSMakeMsg("DSTAGE_JSG_M_0058\%1 (ROUTINE %2) started", "PropagateParms":@FM:"DSU.UTLPropagateParms")) RtnOk = DSCheckRoutine("DSU.UTLPropagateParms") If (Not(RtnOk)) Then Msg = DSMakeMsg("DSTAGE_JSG_M_0005\BASIC routine is not cataloged: %1", "DSU.UTLPropagateParms") MsgId = "@PropagateParms"; GoTo L$ERROR End Call 'DSU.UTLPropagateParms'(rPropagateParms, hRecepJob) summary$<1,-1> = Time$$:Convert(@VM, " ", DSMakeMsg("DSTAGE_JSG_M_0064\%1 finished, reply=%2", "PropagateParms":@FM:rPropagateParms)) IdAbortRact%%Result1%%1 = rPropagateParms IdAbortRact%%Name%%3 = "DSU.UTLPropagateParms" *** Checking result of routine. If <> 0 then abort processing. If (rPropagateParms <> 0) Then GoTo L$ABORT GoTo L$RecepJobRun$START L$RecepJobRun$START: ErrCode = DSRunJob(hRecepJob, DSJ.RUNNORMAL) If (ErrCode <> DSJE.NOERROR) Then Msg = DSMakeMsg("DSTAGE_JSG_M_0003\Error calling DSRunJob(%1), code=%2[E]", jbRecepJob:@FM:ErrCode) MsgId = "@ReceptionJob"; GoTo L$ERROR End ErrCode = DSWaitForJob(hRecepJob) GoTo L$RecepJob$FINISHED

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*** *** *** Setup , Run and Wait for Reception Job (END) *** *********************************************************************** **************** *** ################### *** *********************************************************************** **************** *** Verification of result of Reception Job (START) *** *** *** L$RecepJob$FINISHED: jobRecepJobStatus = DSGetJobInfo(hRecepJob, DSJ.JOBSTATUS) jobRecepJobUserstatus = DSGetJobInfo(hRecepJob, DSJ.USERSTATUS) summary$<1,-1> = Time$$:Convert(@VM, " ", DSMakeMsg("DSTAGE_JSG_M_0063\%1 finished, status=%2[E]", "ReceptionJob":@FM:jobRecepJobStatus)) IdRecepJob%%Result2%%5 = jobRecepJobUserstatus IdRecepJob%%Result1%%6 = jobRecepJobStatus IdRecepJob%%Name%%7 = vRecJobName Dummy = DSDetachJob(hRecepJob) bRecepJobelse = @True If (jobRecepJobStatus = DSJS.RUNOK) Then GoTo L$SeqSuccess$START; bRecepJobelse = @False If bRecepJobelse Then GoTo L$SeqFail$START *** *** *** Verification of result of Reception Job (END) *** *********************************************************************** **************** *** ################### *** *********************************************************************** **************** *** Definition of actions to take on failure or success (START) *** *** *** L$SeqFail$START: *** Sequencer "Fail": wait until inputs ready Call DSLogInfo(DSMakeMsg("Routine SEQUENCER - Control End Sequence Reports a FAIL on Reception Job", ""), "@Fail") GoTo L$ABORT L$SeqSuccess$START: *** Sequencer "Success": wait until inputs ready Call DSLogInfo(DSMakeMsg("Routine SEQUENCER - Control End Sequence Reports a SUCCESS on Reception Job", ""), "@Success") GoTo L$FINISH

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*** *** *** Definition of actions to take on failure or success (END) *** *********************************************************************** **************** *** ################### *** L$ERROR: Call DSLogWarn(DSMakeMsg("DSTAGE_JSG_M_0009\Controller problem: %1", Msg), MsgId) summary$<1,-1> = Time$$:Convert(@VM, " ", DSMakeMsg("DSTAGE_JSG_M_0052\Exception raised: %1", MsgId:", ":Msg)) bAbandoning = @True GoTo L$FINISH L$ABORT: summary$<1,-1> = Time$$:Convert(@VM, " ", DSMakeMsg("DSTAGE_JSG_M_0056\Sequence failed", "")) Call DSLogInfo(summary$, "@UTLRunReceptionJob") Call DSLogWarn("Unrecoverable errors in routine UTLRunReceptionJob, see entries above", "@UTLRunReceptionJob") Ans = -3 GoTo L$EXIT ************************************************** L$FINISH: If bAbandoning Then GoTo L$ABORT summary$<1,-1> = Time$$:Convert(@VM, " ", DSMakeMsg("DSTAGE_JSG_M_0054\Sequence finished OK", "")) Call DSLogInfo(summary$, "@UTLRunReceptionJob") Ans = 0

ValidateField: Checks the length and data type of a value. Also checks value is a valid date if the type is Date. Any errors are logged to the Error Hash File Field_Value: The value from the field being validated Field_Name: The name of the field being validated Length: The maximum length of the field being validated Data_Type: The data type expected - possible values (Numeric, Alpha, Date, Char) Date_Format: If Data_Type is 'Date' Then the format must be specified. The syntax for this is the same as for the Iconv function. i.e "D/YMD[4,2,2]" for a date in the format 2004/12/23 $INCLUDE DSINCLUDE JOBCONTROL.H vRoutineName = 'ValidateField' DEFFUN LogToErrorFile(Table,Field_Name,Check_Value,Error_Number,Text_1,Text_2, Text_3, Message) Calling "DSU.LogToErrorFile" Common /HashLookup/ FileHandles(100), FilesOpened

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Common /TicketErrorCommon/ ModRunID, TicketFileID, TicketSequence, TicketSetKey, JobStageName, ModRootPath Ans = "START" vData_Type = Downcase(Data_Type) BEGIN CASE ******** Check the arguments * Value being checked is null CASE isNull(Field_Value) Call DSTransformError("The value being checked is Null - Field_Name = " : Field_Name, vRoutineName) * Argument for the data type is not valid CASE vData_Type <> "char" AND vData_Type <> "alpha" AND vData_Type <> "numeric" AND vData_Type <> "date" Call DSTransformError("The value " : Data_Type : " is not a valid data type for routine: ", vRoutineName) * Length is not a number CASE Not(Num(Length)) Call DSTransformError("The length supplied is not a number : Field Checked " : Field_Name, vRoutineName) CASE vData_Type = "date" And (Date_Format = "" OR isNull(Date_Format)) END CASE ********* ******** Check The Values *** Check the data type of supplied value *** If vData_Type = 'numeric' Then If Num(Field_Value) Then vErr = 'OK' End Else vErr = LogToErrorFile("No Table",Field_Name,Field_Value,'10002','Text1','Text2','Text3','Value provided is not numeric') Ans = ' [Not Numeric]' End End Else If vData_Type = 'alpha' Then If Alpha(Field_Value) Then vErr = 'OK' End Else vErr = LogToErrorFile("No Table",Field_Name,Field_Value,'10003','Text1','Text2','Text3','Value provided is not alpha') Ans = ' [Not Alpha]' End End Else If vData_Type = 'date' Then vErr = Iconv(Field_Value,Date_Format) vErr = Status() If vErr <> 0 Then vErr = LogToErrorFile("No Table",Field_Name,Field_Value,'10004','Text1','Text2','Text3','Value provided is not a valid date for mask ':Date_Format)

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Ans = ' [Invalid Date]' End End Else End End End *** Check the length of the supplied value *** If Len(Field_Value) <= Length Then vErr = 'OK' End Else vErr = LogToErrorFile("No Table",Field_Name,Field_Value,'10001','Text1','Text2','Text3','Value provided is not the correct length') Ans = Ans : ' [Length Error]' End Ans = Ans VatCheckSG: Function VatcheckSg(Arg1) String=Arg1 Slen=Len(String) Scheck=0 CharCheck=0 For Scheck = 1 to Slen Schar=Substrings(String,Scheck,1) If NUM(Schar) <> 1

then

CharCheck=CharCheck+1 end Next Ans=CharCheck WriteParmFile: Function writeparamfile(Arg1,Arg2,arg3,arg4) Arg1; Arg2: Arg3: Arg4:

File Path File Name Parameter Name Parameter Value

vParamFile = Arg1 : "/" : Arg2 vParamName = Arg3 vParamValue = Arg4

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If Arg4 = -256 Then vParamValue = "" End OpenSeq vParamFile To FileVar Else Call DSLogWarn("Cannot open ":vParamFile , "Cannot Open ParamFile") End Loop ReadSeq Dummy From FileVar Else Exit ;* at end-of-file Repeat MyLine= vParamName : "=" : vParamValue *Write New Error File WriteSeqF MyLine To FileVar Else Call DSLogFatal("Cannot write to ": FileVar , "Cannot write to file") End WeofSeq FileVar CloseSeq FileVar Ans=MyLine WriteSeg: * * * * * * * * * * * *

FUNCTION SegKey(Value,ErrorLogInd) Executes a lookup against a hashed file using a key Input Parameters : Return

Arg1: Segment_Num Arg2: Segment_Parm

Values: If the Segment should be written return value is "Y" If If not return value is "N"

RoutineName = 'WriteSeg' * Determine if this segment should output Write_Ind = Field(Segment_Parm,"|",Segment_Num) If Write_Ind = "Y" then Ans = "Y" End Else Ans = "N" End

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SET_JOB_PARAMETERS_ROUTINE InputArg……………..Arguments. ErrorCode…………Arguments. Routinuename: SetDSParamsFromFile $INCLUDE DSINCLUDE DSD_STAGE.H $INCLUDE DSINCLUDE JOBCONTROL.H $INCLUDE DSINCLUDE DSD.H $INCLUDE DSINCLUDE DSD_RTSTATUS.H Equ SetParams To 'SetDSParamsFromFile' ErrorCode = 0 stop the stage/job

; * set this to non-zero to

JobName = Field(STAGECOM.NAME,'.',1,2) ParamList = STAGECOM.JOB.CONFIG If ParamList = '' Then Call DSLogWarn('Parameters may not be externally derived if the job has no parameters defined.',SetParams) Return End Call DSLogInfo("SetDSParmsFromFile inputarg >" : InputArg : "<", SetParms) ArgList = Trims(Convert(',',@FM,InputArg)) ParamDir = ArgList<1> If ParamDir = '' Then ParamDir = '.' End ParamFile = ArgList<2> If ParamFile = '' Then ParamFile = JobName End If System(91) Then Delim = '\' End Else Delim = '/' End ParamPath = ParamDir:Delim:ParamFile Call DSLogInfo('Setting Job Parameters from external source ':ParamPath,SetParams) Call DSLogInfo(JobName:' - ':ParamList,SetParams) OpenSeq ParamPath To ParamFileVar On Error ErrorCode = 1 Call DSLogFatal('File open error on ':ParamPath:'. Status = ':Status(),SetParams) End Else

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Call DSLogWarn('File ':ParamPath:' not found - using default parameters.',SetParams) Return End

End Else Call StatusFileName = FileInfo(DSRTCOM.RTSTATUS.FVAR,1) Readvu LockItem From DSRTCOM.RTSTATUS.FVAR, JobName, 1 On Error Call DSLogFatal('File read error for ':JobName:' on ':StatusFileName:'. Status = ':Status(),SetParams) ErrorCode = 1 ReturnDSLogFatal('Failed to read ':JobName:' record from ':StatusFileName,SetParams) ErrorCode = 2 Return End

StatusId = JobName:'.':STAGECOM.WAVE.NUM Readv ParamValues From DSRTCOM.RTSTATUS.FVAR, StatusId, JOB.PARAM.VALUES On Error Release DSRTCOM.RTSTATUS.FVAR, JobName On Error Null ErrorCode = 1 Call DSLogFatal('File read error for ':StatusId:' on ':StatusFileName:'. Status = ':Status(),SetParams) Return End Else Release DSRTCOM.RTSTATUS.FVAR, JobName On Error Null ErrorCode = 2 Call DSLogFatal('Failed to read ':StatusId:' record from ':StatusFileName,SetParams) Return End Loop ReadSeq ParamData From ParamFileVar On Error Release DSRTCOM.RTSTATUS.FVAR, JobName On Error Null ErrorCode = 4 Call DSLogFatal('File read error on ':ParamPath:'. Status = ':Status(),SetParams) Return End Else Exit End Convert '=' To @FM In ParamData ParamName = Trim(ParamData<1>) Del ParamData<1> ParamValue = Convert(@FM,'=',TrimB(ParamData)) Locate(ParamName,ParamList,1;ParamPos) Then If Index(UpCase(ParamName),'PASSWORD',1) = 0

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Then Call DSLogInfo('Parameter "':ParamName:'" set to "':ParamValue:'"',SetParams) Else Call DSLogInfo('Parameter "':ParamName:'" set but not displayed on log',SetParams) End Else Call DSLogWarn('Parameter ':ParamName:' does not exist in Job ':JobName,SetParams) Continue End ParamValues<1,ParamPos> = ParamValue Repeat Writev ParamValues On DSRTCOM.RTSTATUS.FVAR, StatusId, JOB.PARAM.VALUES On Error Release DSRTCOM.RTSTATUS.FVAR, JobName On Error Null ErrorCode = 5 Call DSLogFatal('File write error for ':StatusId:' on ':StatusFileName:'. Status = ':Status(),SetParams) Return End Else Release DSRTCOM.RTSTATUS.FVAR, JobName On Error Null ErrorCode = 6 Call DSLogFatal('Unable to write ':StatusId:' record on ':StatusFileName:'. Status = ':Status(),SetParams) Return End

Release DSRTCOM.RTSTATUS.FVAR, JobName On Error Null STAGECOM.JOB.STATUS<JOB.PARAM.VALUES> = ParamValues vnput Arg should be of the form: ParamDir,ParamFile If ParamDir is not supplied, the routine assumes the Project directory If ParamFile is not supplied, the routine assumes the Job Name (this could be dangerous) The routine will abort the job if anything doesn't go to plan Note: a lock is placed to stop the same job from running another instance of this routine. The second instance will have to wait for the routine to finish before being allowed to proceed. The lock is released however the routine terminates (normal, abort...) The parameter file should contain non-blank lines of the form ParName = ParValue White space is ignored. The Routine may be invoked via the normal Before Job Subroutine setting, or from within the 'Job Properties->Job Control' window by entering "Call DSU.SetParams('MyDir,MyFile',ErrorCode)" For Andrew Webb's eyes only -

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The routine could be made to work off a hashed file, or environment variables quite easily. It is not possible to create Job Parameters on-the-fly because they are referenced within a Job via an EQUATE of the form JobParam%%1 = STAGECOM.STATUS<7,1> JobParam%%2 = STAGECOM.STATUS<7,2> etc This is then compiled up....So forget it! Tokens were replaced below as follows: * IdV0S0%%Result2%%1 <= FR_PARIS_End_to_End_Processing_SAct.$UserStatus * IdV0S0%%Result1%%2 <= FR_PARIS_End_to_End_Processing_SAct.$JobStatus * IdV0S0%%Name%%3 <= FR_PARIS_End_to_End_Processing_SAct.$JobName * IdV0S2%%Result1%%4 <= Set_Job_Parameters_Routine.$ReturnValue * IdV0S2%%Name%%6 <= Set_Job_Parameters_Routine.$RoutineName * IdV0S57%%Result2%%8 <= FR_PARIS_Control_Start_Processing_SAct.$UserStatus * IdV0S57%%Result1%%9 <= FR_PARIS_Control_Start_Processing_SAct.$JobStatus * IdV0S57%%Name%%10 <= FR_PARIS_Control_Start_Processing_SAct.$JobName * IdV0S61%%Result2%%11 <= FR_PARIS_Control_End_Processing_SAct.$UserStatus * IdV0S61%%Result1%%12 <= FR_PARIS_Control_End_Processing_SAct.$JobStatus * IdV0S61%%Name%%13 <= FR_PARIS_Control_End_Processing_SAct.$JobName * IdV0S72%%Result1%%14 <= Abort_RAct.$ReturnValue * IdV0S72%%Name%%16 <= Abort_RAct.$RoutineName * *** [Generated at 2005-07-07 09:41:15 - 7.1.0.8] $INCLUDE DSINCLUDE DSJ_XFUNCS.H EQU Time$$ Lit "Oconv(Time(), 'MTS:'):': '" **************************************** * Graphical Sequencer generated code for Job FR_PARIS_Control_Seq **************************************** seq$V0S10$count = 0 seq$V0S43$count = 0 seq$V0S44$count = 0 handle$list = "" id$list = "" abort$list = "" b$Abandoning = @False b$AllStarted = @False summary$restarting = @False *** Sequence start point summary$ = DSMakeMsg("DSTAGE_JSG_M_0048\Summary of sequence run", "") If summary$restarting Then summary$<1,-1> = Time$$:Convert(@VM, " ", DSMakeMsg("DSTAGE_JSG_M_0049\Sequence restarted after failure", "")) End Else summary$<1,-1> = Time$$:Convert(@VM, " ", DSMakeMsg("DSTAGE_JSG_M_0051\Sequence started", "")) End

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GoSub L$V0S2$START b$AllStarted = @True GoTo L$WAITFORJOB ************************************************** L$V0S0$START: *** Activity "FR_PARIS_End_to_End_Processing_SAct": Initialize job summary$<1,-1> = Time$$:Convert(@VM, " ", DSMakeMsg("DSTAGE_JSG_M_0057\%1 (JOB %2) started", "FR_PARIS_End_to_End_Processing_SAct":@FM:"FR_PARIS_End_to_End_Processi ng_Seq")) Call DSLogInfo(DSMakeMsg("SEQUENCE - START End_to_End_Processing_Seq", ""), "@FR_PARIS_End_to_End_Processing_SAct") jb$V0S0 = "FR_PARIS_End_to_End_Processing_Seq":'.':(Module_Run_Parm) h$V0S0 = DSAttachJob(jb$V0S0, DSJ.ERRNONE) If (Not(h$V0S0)) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0001\Error calling DSAttachJob(%1)%2", jb$V0S0:@FM:DSGetLastErrorMsg()) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End h$V0S0 = DSPrepareJob(h$V0S0) If (Not(h$V0S0)) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0012\Error calling DSPrepareJob(%1)%2", jb$V0S0:@FM:DSGetLastErrorMsg()) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End L$V0S0$PREPARED: p$V0S0$1 = (Project_Parm) err$code = DSSetParam(h$V0S0, "Project_Parm", p$V0S0$1) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Project_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$2 = (Module_Parm) err$code = DSSetParam(h$V0S0, "Module_Parm", p$V0S0$2) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Module_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$3 = (Run_Parm) err$code = DSSetParam(h$V0S0, "Run_Parm", p$V0S0$3) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Run_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$4 = (Module_Run_Parm) err$code = DSSetParam(h$V0S0, "Module_Run_Parm", p$V0S0$4) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Module_Run_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$5 = (Data_Object_Parm) err$code = DSSetParam(h$V0S0, "Data_Object_Parm", p$V0S0$5)

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If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Data_Object_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$6 = (Interface_Parm) err$code = DSSetParam(h$V0S0, "Interface_Parm", p$V0S0$6) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Interface_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$7 = (Interface_Root_Path_Parm) err$code = DSSetParam(h$V0S0, "Interface_Root_Path_Parm", p$V0S0$7) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Interface_Root_Path_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$8 = (Generic_Root_Path_Parm) err$code = DSSetParam(h$V0S0, "Generic_Root_Path_Parm", p$V0S0$8) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Generic_Root_Path_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$9 = (Business_Process_Parm) err$code = DSSetParam(h$V0S0, "Business_Process_Parm", p$V0S0$9) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Business_Process_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$10 = (Company_Parm) err$code = DSSetParam(h$V0S0, "Company_Parm", p$V0S0$10) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Company_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$11 = (Country_Parm) err$code = DSSetParam(h$V0S0, "Country_Parm", p$V0S0$11) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Country_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$12 = (SAP_Client_Parm) err$code = DSSetParam(h$V0S0, "SAP_Client_Parm", p$V0S0$12) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "SAP_Client_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$13 = (Source_System_Parm) err$code = DSSetParam(h$V0S0, "Source_System_Parm", p$V0S0$13) If (err$code <> DSJE.NOERROR) Then

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msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Source_System_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$14 = (Fileset_Type_Name_Parm) err$code = DSSetParam(h$V0S0, "Fileset_Name_Type_Parm", p$V0S0$14) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Fileset_Name_Type_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$15 = (Request_Type_Parm) err$code = DSSetParam(h$V0S0, "Request_Type_Parm", p$V0S0$15) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Request_Type_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$16 = (Timestamp_Parm) err$code = DSSetParam(h$V0S0, "Timestamp_Parm", p$V0S0$16) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Timestamp_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$17 = (Fileset_Parm) err$code = DSSetParam(h$V0S0, "Fileset_Parm", p$V0S0$17) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Fileset_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$18 = (File_Parm) err$code = DSSetParam(h$V0S0, "File_Parm", p$V0S0$18) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "File_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$19 = (File_Name_Parm) err$code = DSSetParam(h$V0S0, "File_Name_Parm", p$V0S0$19) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "File_Name_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$20 = (ISDB_Database_Parm) err$code = DSSetParam(h$V0S0, "ISDB_Database_Parm", p$V0S0$20) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "ISDB_Database_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$21 = (ISDB_User_Parm) err$code = DSSetParam(h$V0S0, "ISDB_User_Parm", p$V0S0$21) If (err$code <> DSJE.NOERROR) Then

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msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "ISDB_User_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$22 = (ISDB_Password_Parm) err$code = DSSetParam(h$V0S0, "ISDB_Password_Parm", p$V0S0$22) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "ISDB_Password_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$23 = (CSDB_Database_Parm) err$code = DSSetParam(h$V0S0, "CSDB_Database_Parm", p$V0S0$23) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "CSDB_Database_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$24 = (CSDB_User_Parm) err$code = DSSetParam(h$V0S0, "CSDB_User_Parm", p$V0S0$24) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "CSDB_User_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$25 = (CSDB_Password_Parm) err$code = DSSetParam(h$V0S0, "CSDB_Password_Parm", p$V0S0$25) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "CSDB_Password_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$26 = (Retest_Parm) err$code = DSSetParam(h$V0S0, "Retest_Parm", p$V0S0$26) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Retest_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$27 = (Versions_Keep_Cnt_Parm) err$code = DSSetParam(h$V0S0, "Versions_Keep_Cnt_Parm", p$V0S0$27) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Versions_Keep_Cnt_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$28 = (Parm_File_Comma_Parm) err$code = DSSetParam(h$V0S0, "Parm_File_Comma_Parm", p$V0S0$28) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Parm_File_Comma_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$29 = (FTP_Server) err$code = DSSetParam(h$V0S0, "FTP_Server", p$V0S0$29) If (err$code <> DSJE.NOERROR) Then

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msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "FTP_Server":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$30 = (FTP_Target_Path) err$code = DSSetParam(h$V0S0, "FTP_Target_Path", p$V0S0$30) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "FTP_Target_Path":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$31 = (FTP_Port) err$code = DSSetParam(h$V0S0, "FTP_Port", p$V0S0$31) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "FTP_Port":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$32 = (FTP_User) err$code = DSSetParam(h$V0S0, "FTP_User", p$V0S0$32) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "FTP_User":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$33 = (FTP_Password) err$code = DSSetParam(h$V0S0, "FTP_Password", p$V0S0$33) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "FTP_Password":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$34 = (Abort_Msg_Parm) err$code = DSSetParam(h$V0S0, "Abort_Msg_Parm", p$V0S0$34) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Abort_Msg_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$35 = (Load_ISDB_Rejects_Parm) err$code = DSSetParam(h$V0S0, "Load_ISDB_Rejects_Parm", p$V0S0$35) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Load_ISDB_Rejects_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$36 = (Load_ISDB_Source_Parm) err$code = DSSetParam(h$V0S0, "Load_ISDB_Source_Parm", p$V0S0$36) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Load_ISDB_Source_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$37 = (Source_Delimiter_Parm) err$code = DSSetParam(h$V0S0, "Source_Delimiter_Parm", p$V0S0$37) If (err$code <> DSJE.NOERROR) Then

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msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Source_Delimiter_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$38 = (KTGRM_Header_Default_Parm) err$code = DSSetParam(h$V0S0, "KTGRM_Header_Default_Parm", p$V0S0$38) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "KTGRM_Header_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$39 = (VTWEG_Header_Default_Parm) err$code = DSSetParam(h$V0S0, "VTWEG_Header_Default_Parm", p$V0S0$39) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "VTWEG_Header_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$40 = (SPART_Header_Default_Parm) err$code = DSSetParam(h$V0S0, "SPART_Header_Default_Parm", p$V0S0$40) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "SPART_Header_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$41 = (WAERS_Local_Default_Parm) err$code = DSSetParam(h$V0S0, "WAERS_Local_Default_Parm", p$V0S0$41) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "WAERS_Local_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$42 = (WAERS_Foreign_Default_Parm) err$code = DSSetParam(h$V0S0, "WAERS_Foreign_Default_Parm", p$V0S0$42) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "WAERS_Foreign_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$43 = (KURSK_Default_Parm) err$code = DSSetParam(h$V0S0, "KURSK_Default_Parm", p$V0S0$43) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "KURSK_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$44 = (AUART_Header_Default_Parm) err$code = DSSetParam(h$V0S0, "AUART_Header_Default_Parm", p$V0S0$44) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "AUART_Header_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR

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End p$V0S0$45 = (ZLSCH_Header_Default_Parm) err$code = DSSetParam(h$V0S0, "ZLSCH_Header_Default_Parm", p$V0S0$45) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "ZLSCH_Header_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$46 = (ZTERM_Header_Default_Parm) err$code = DSSetParam(h$V0S0, "ZTERM_Header_Default_Parm", p$V0S0$46) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "ZTERM_Header_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$47 = (WERKS_Header_Default_Parm) err$code = DSSetParam(h$V0S0, "WERKS_Header_Default_Parm", p$V0S0$47) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "WERKS_Header_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$48 = (VKORG_Header_Default_Parm) err$code = DSSetParam(h$V0S0, "VKORG_Header_Default_Parm", p$V0S0$48) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "VKORG_Header_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$49 = (TAXM1_Line_Default_Parm) err$code = DSSetParam(h$V0S0, "TAXM1_Line_Default_Parm", p$V0S0$49) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "TAXM1_Line_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$50 = (VRKME_Line_Default_Parm) err$code = DSSetParam(h$V0S0, "VRKME_Line_Default_Parm", p$V0S0$50) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "VRKME_Line_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$51 = (VKGRP_Line_Default_Parm) err$code = DSSetParam(h$V0S0, "VKGRP_Line_Default_Parm", p$V0S0$51) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "VKGRP_Line_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$52 = (VKBUR_Line_Default_Parm) err$code = DSSetParam(h$V0S0, "VKBUR_Line_Default_Parm", p$V0S0$52) If (err$code <> DSJE.NOERROR) Then

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msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "VKBUR_Line_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$53 = (LGORT_Line_Default_Parm) err$code = DSSetParam(h$V0S0, "LGORT_Line_Default_Parm", p$V0S0$53) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "LGORT_Line_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$54 = (KOSTL_Line_Default_Parm) err$code = DSSetParam(h$V0S0, "KOSTL_Line_Default_Parm", p$V0S0$54) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "KOSTL_Line_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$55 = (ZZTAXCD_Default_Parm) err$code = DSSetParam(h$V0S0, "ZZTAXCD_Default_Parm", p$V0S0$55) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "ZZTAXCD_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$56 = (KBETR_Revenue_Default_Parm) err$code = DSSetParam(h$V0S0, "KBETR_Revenue_Default_Parm", p$V0S0$56) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "KBETR_Revenue_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$57 = (KSCHL_Revenue_Default_Parm) err$code = DSSetParam(h$V0S0, "KSCHL_Revenue_Default_Parm", p$V0S0$57) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "KSCHL_Revenue_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$58 = (KSCHL_Surcharge_Default_Parm) err$code = DSSetParam(h$V0S0, "KSCHL_Surcharge_Default_Parm", p$V0S0$58) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "KSCHL_Surcharge_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$59 = (Reception_Job_Name_Parm) err$code = DSSetParam(h$V0S0, "Reception_Job_Name_Parm", p$V0S0$59) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Reception_Job_Name_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$60 = (Invocation_Parm)

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err$code = DSSetParam(h$V0S0, "Invocation_Parm", p$V0S0$60) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Invocation_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$61 = (GUNZIP_Path_Parm) err$code = DSSetParam(h$V0S0, "GUNZIP_Path_Parm", p$V0S0$61) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "GUNZIP_Path_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$62 = (Run_Error_Mgmt_Parm) err$code = DSSetParam(h$V0S0, "Run_Error_Mgmt_Parm", p$V0S0$62) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Run_Error_Mgmt_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$63 = "Y" err$code = DSSetParam(h$V0S0, "Run_Move_and_Tidy_Parm", p$V0S0$63) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Run_Move_and_Tidy_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$64 = (Update_Status_In_DB_Parm) err$code = DSSetParam(h$V0S0, "Update_Status_In_DB_Parm", p$V0S0$64) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Update_Status_In_DB_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End p$V0S0$65 = (Run_Reconciliation_Parm) err$code = DSSetParam(h$V0S0, "Run_Reconciliation_Parm", p$V0S0$65) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Run_Reconciliation_Parm":@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End err$code = DSRunJob(h$V0S0, DSJ.RUNNORMAL) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0003\Error calling DSRunJob(%1), code=%2[E]", jb$V0S0:@FM:err$code) msg$id = "@FR_PARIS_End_to_End_Processing_SAct"; GoTo L$ERROR End handle$list<-1> = h$V0S0 id$list<-1> = "V0S0" Return ************************************************** L$V0S0$FINISHED: job$V0S0$status = DSGetJobInfo(h$V0S0, DSJ.JOBSTATUS) job$V0S0$userstatus = DSGetJobInfo(h$V0S0, DSJ.USERSTATUS) summary$<1,-1> = Time$$:Convert(@VM, " ", DSMakeMsg("DSTAGE_JSG_M_0063\%1 finished, status=%2[E]", "FR_PARIS_End_to_End_Processing_SAct":@FM:job$V0S0$status))

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IdV0S0%%Result2%%1 = job$V0S0$userstatus IdV0S0%%Result1%%2 = job$V0S0$status IdV0S0%%Name%%3 = "FR_PARIS_End_to_End_Processing_Seq" rpt$V0S0 = DSMakeJobReport(h$V0S0, 1, "CRLF") dummy$ = DSDetachJob(h$V0S0) If b$Abandoning Then GoTo L$WAITFORJOB b$V0S0else = @True If (job$V0S0$status = DSJS.RUNOK) Then GoSub L$V0S61$START; b$V0S0else = @False If (job$V0S0$status = DSJS.RUNOK) Then GoSub L$V0S43$START; b$V0S0else = @False If b$V0S0else Then GoSub L$V0S44$START GoTo L$WAITFORJOB ************************************************** L$V0S10$START: *** Sequencer "Run_Jobs_Seq": wait until inputs ready seq$V0S10$count += 1 If seq$V0S10$count < 1 Then Return GoSub L$V0S57$START Return ************************************************** L$V0S2$START: *** Activity "Set_Job_Parameters_Routine": Call routine summary$<1,-1> = Time$$:Convert(@VM, " ", DSMakeMsg("DSTAGE_JSG_M_0058\%1 (ROUTINE %2) started", "Set_Job_Parameters_Routine":@FM:"DSU.SetDSParamsFromFile")) Call DSLogInfo(DSMakeMsg("ROUTINE - Set_Job_Parameters_Routine", ""), "@Set_Job_Parameters_Routine") rtn$ok = DSCheckRoutine("DSU.SetDSParamsFromFile") If (Not(rtn$ok)) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0005\BASIC routine is not cataloged: %1", "DSU.SetDSParamsFromFile") msg$id = "@Set_Job_Parameters_Routine"; GoTo L$ERROR End p$V0S2$1 = (Parm_File_Comma_Parm) Call 'DSU.SetDSParamsFromFile'(p$V0S2$1, r$V0S2) summary$<1,-1> = Time$$:Convert(@VM, " ", DSMakeMsg("DSTAGE_JSG_M_0064\%1 finished, reply=%2", "Set_Job_Parameters_Routine":@FM:r$V0S2)) IdV0S2%%Result1%%4 = r$V0S2 IdV0S2%%Name%%6 = "DSU.SetDSParamsFromFile" If (r$V0S2 = 0) Then GoSub L$V0S10$START Return ************************************************** L$V0S43$START: *** Sequencer "Success": wait until inputs ready seq$V0S43$count += 1 If seq$V0S43$count < 3 Then Return Call DSLogInfo(DSMakeMsg("SEQUENCER - Control Sequence Reports a SUCCESS on all Stages", ""), "@Success") Return ************************************************** L$V0S44$START: *** Sequencer "Fail": wait until inputs ready If seq$V0S44$count > 0 Then Return seq$V0S44$count += 1

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Call DSLogInfo(DSMakeMsg("SEQUENCER - Control Sequence Reports at least one Stage FAILED", ""), "@Fail") GoSub L$V0S72$START Return ************************************************** L$V0S57$START: *** Activity "FR_PARIS_Control_Start_Processing_SAct": Initialize job summary$<1,-1> = Time$$:Convert(@VM, " ", DSMakeMsg("DSTAGE_JSG_M_0057\%1 (JOB %2) started", "FR_PARIS_Control_Start_Processing_SAct":@FM:"FR_PARIS_Control_Start_Pr ocessing_Seq")) Call DSLogInfo(DSMakeMsg("SEQUENCE - START Control_Start_Processes_Seq", ""), "@FR_PARIS_Control_Start_Processing_SAct") jb$V0S57 = "FR_PARIS_Control_Start_Processing_Seq":'.':(Module_Run_Parm) h$V0S57 = DSAttachJob(jb$V0S57, DSJ.ERRNONE) If (Not(h$V0S57)) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0001\Error calling DSAttachJob(%1)%2", jb$V0S57:@FM:DSGetLastErrorMsg()) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End h$V0S57 = DSPrepareJob(h$V0S57) If (Not(h$V0S57)) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0012\Error calling DSPrepareJob(%1)%2", jb$V0S57:@FM:DSGetLastErrorMsg()) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End L$V0S57$PREPARED: p$V0S57$1 = (Project_Parm) err$code = DSSetParam(h$V0S57, "Project_Parm", p$V0S57$1) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Project_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$2 = (Module_Parm) err$code = DSSetParam(h$V0S57, "Module_Parm", p$V0S57$2) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Module_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$3 = (Run_Parm) err$code = DSSetParam(h$V0S57, "Run_Parm", p$V0S57$3) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Run_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$4 = (Module_Run_Parm) err$code = DSSetParam(h$V0S57, "Module_Run_Parm", p$V0S57$4) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Module_Run_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End

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p$V0S57$5 = (Data_Object_Parm) err$code = DSSetParam(h$V0S57, "Data_Object_Parm", p$V0S57$5) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Data_Object_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$6 = (Interface_Parm) err$code = DSSetParam(h$V0S57, "Interface_Parm", p$V0S57$6) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Interface_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$7 = (Interface_Root_Path_Parm) err$code = DSSetParam(h$V0S57, "Interface_Root_Path_Parm", p$V0S57$7) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Interface_Root_Path_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$8 = (Generic_Root_Path_Parm) err$code = DSSetParam(h$V0S57, "Generic_Root_Path_Parm", p$V0S57$8) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Generic_Root_Path_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$9 = (Business_Process_Parm) err$code = DSSetParam(h$V0S57, "Business_Process_Parm", p$V0S57$9) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Business_Process_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$10 = (Company_Parm) err$code = DSSetParam(h$V0S57, "Company_Parm", p$V0S57$10) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Company_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$11 = (Country_Parm) err$code = DSSetParam(h$V0S57, "Country_Parm", p$V0S57$11) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Country_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$12 = (SAP_Client_Parm) err$code = DSSetParam(h$V0S57, "SAP_Client_Parm", p$V0S57$12) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "SAP_Client_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End

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p$V0S57$13 = (Source_System_Parm) err$code = DSSetParam(h$V0S57, "Source_System_Parm", p$V0S57$13) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Source_System_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$14 = (Fileset_Type_Name_Parm) err$code = DSSetParam(h$V0S57, "Fileset_Name_Type_Parm", p$V0S57$14) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Fileset_Name_Type_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$15 = (Request_Type_Parm) err$code = DSSetParam(h$V0S57, "Request_Type_Parm", p$V0S57$15) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Request_Type_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$16 = (Timestamp_Parm) err$code = DSSetParam(h$V0S57, "Timestamp_Parm", p$V0S57$16) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Timestamp_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$17 = (Fileset_Parm) err$code = DSSetParam(h$V0S57, "Fileset_Parm", p$V0S57$17) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Fileset_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$18 = (File_Parm) err$code = DSSetParam(h$V0S57, "File_Parm", p$V0S57$18) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "File_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$19 = (File_Name_Parm) err$code = DSSetParam(h$V0S57, "File_Name_Parm", p$V0S57$19) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "File_Name_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$20 = (ISDB_Database_Parm) err$code = DSSetParam(h$V0S57, "ISDB_Database_Parm", p$V0S57$20) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "ISDB_Database_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$21 = (ISDB_User_Parm)

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err$code = DSSetParam(h$V0S57, "ISDB_User_Parm", p$V0S57$21) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "ISDB_User_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$22 = (ISDB_Password_Parm) err$code = DSSetParam(h$V0S57, "ISDB_Password_Parm", p$V0S57$22) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "ISDB_Password_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$23 = (CSDB_Database_Parm) err$code = DSSetParam(h$V0S57, "CSDB_Database_Parm", p$V0S57$23) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "CSDB_Database_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$24 = (CSDB_User_Parm) err$code = DSSetParam(h$V0S57, "CSDB_User_Parm", p$V0S57$24) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "CSDB_User_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$25 = (CSDB_Password_Parm) err$code = DSSetParam(h$V0S57, "CSDB_Password_Parm", p$V0S57$25) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "CSDB_Password_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$26 = (Retest_Parm) err$code = DSSetParam(h$V0S57, "Retest_Parm", p$V0S57$26) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Retest_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$27 = (Versions_Keep_Cnt_Parm) err$code = DSSetParam(h$V0S57, "Versions_Keep_Cnt_Parm", p$V0S57$27) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Versions_Keep_Cnt_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$28 = (Parm_File_Comma_Parm) err$code = DSSetParam(h$V0S57, "Parm_File_Comma_Parm", p$V0S57$28) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Parm_File_Comma_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$29 = (FTP_Server) err$code = DSSetParam(h$V0S57, "FTP_Server", p$V0S57$29)

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If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "FTP_Server":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$30 = (FTP_Target_Path) err$code = DSSetParam(h$V0S57, "FTP_Target_Path", p$V0S57$30) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "FTP_Target_Path":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$31 = (FTP_Port) err$code = DSSetParam(h$V0S57, "FTP_Port", p$V0S57$31) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "FTP_Port":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$32 = (FTP_User) err$code = DSSetParam(h$V0S57, "FTP_User", p$V0S57$32) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "FTP_User":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$33 = (FTP_Password) err$code = DSSetParam(h$V0S57, "FTP_Password", p$V0S57$33) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "FTP_Password":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$34 = (Abort_Msg_Parm) err$code = DSSetParam(h$V0S57, "Abort_Msg_Parm", p$V0S57$34) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Abort_Msg_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$35 = (Load_ISDB_Rejects_Parm) err$code = DSSetParam(h$V0S57, "Load_ISDB_Rejects_Parm", p$V0S57$35) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Load_ISDB_Rejects_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$36 = (Load_ISDB_Source_Parm) err$code = DSSetParam(h$V0S57, "Load_ISDB_Source_Parm", p$V0S57$36) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Load_ISDB_Source_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$37 = (Source_Delimiter_Parm) err$code = DSSetParam(h$V0S57, "Source_Delimiter_Parm", p$V0S57$37) If (err$code <> DSJE.NOERROR) Then

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msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Source_Delimiter_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$38 = (KTGRM_Header_Default_Parm) err$code = DSSetParam(h$V0S57, "KTGRM_Header_Default_Parm", p$V0S57$38) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "KTGRM_Header_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$39 = (VTWEG_Header_Default_Parm) err$code = DSSetParam(h$V0S57, "VTWEG_Header_Default_Parm", p$V0S57$39) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "VTWEG_Header_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$40 = (SPART_Header_Default_Parm) err$code = DSSetParam(h$V0S57, "SPART_Header_Default_Parm", p$V0S57$40) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "SPART_Header_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$41 = (WAERS_Local_Default_Parm) err$code = DSSetParam(h$V0S57, "WAERS_Local_Default_Parm", p$V0S57$41) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "WAERS_Local_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$42 = (WAERS_Foreign_Default_Parm) err$code = DSSetParam(h$V0S57, "WAERS_Foreign_Default_Parm", p$V0S57$42) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "WAERS_Foreign_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$43 = (KURSK_Default_Parm) err$code = DSSetParam(h$V0S57, "KURSK_Default_Parm", p$V0S57$43) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "KURSK_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$44 = (AUART_Header_Default_Parm) err$code = DSSetParam(h$V0S57, "AUART_Header_Default_Parm", p$V0S57$44) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "AUART_Header_Default_Parm":@FM:err$code)

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msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$45 = (ZLSCH_Header_Default_Parm) err$code = DSSetParam(h$V0S57, "ZLSCH_Header_Default_Parm", p$V0S57$45) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "ZLSCH_Header_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$46 = (ZTERM_Header_Default_Parm) err$code = DSSetParam(h$V0S57, "ZTERM_Header_Default_Parm", p$V0S57$46) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "ZTERM_Header_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$47 = (WERKS_Header_Default_Parm) err$code = DSSetParam(h$V0S57, "WERKS_Header_Default_Parm", p$V0S57$47) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "WERKS_Header_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$48 = (VKORG_Header_Default_Parm) err$code = DSSetParam(h$V0S57, "VKORG_Header_Default_Parm", p$V0S57$48) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "VKORG_Header_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$49 = (TAXM1_Line_Default_Parm) err$code = DSSetParam(h$V0S57, "TAXM1_Line_Default_Parm", p$V0S57$49) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "TAXM1_Line_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$50 = (VRKME_Line_Default_Parm) err$code = DSSetParam(h$V0S57, "VRKME_Line_Default_Parm", p$V0S57$50) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "VRKME_Line_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$51 = (VKGRP_Line_Default_Parm) err$code = DSSetParam(h$V0S57, "VKGRP_Line_Default_Parm", p$V0S57$51) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "VKGRP_Line_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR

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End p$V0S57$52 = (VKBUR_Line_Default_Parm) err$code = DSSetParam(h$V0S57, "VKBUR_Line_Default_Parm", p$V0S57$52) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "VKBUR_Line_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$53 = (LGORT_Line_Default_Parm) err$code = DSSetParam(h$V0S57, "LGORT_Line_Default_Parm", p$V0S57$53) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "LGORT_Line_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$54 = (KOSTL_Line_Default_Parm) err$code = DSSetParam(h$V0S57, "KOSTL_Line_Default_Parm", p$V0S57$54) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "KOSTL_Line_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$55 = (ZZTAXCD_Default_Parm) err$code = DSSetParam(h$V0S57, "ZZTAXCD_Default_Parm", p$V0S57$55) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "ZZTAXCD_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$56 = (KBETR_Revenue_Default_Parm) err$code = DSSetParam(h$V0S57, "KBETR_Revenue_Default_Parm", p$V0S57$56) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "KBETR_Revenue_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$57 = (KSCHL_Revenue_Default_Parm) err$code = DSSetParam(h$V0S57, "KSCHL_Revenue_Default_Parm", p$V0S57$57) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "KSCHL_Revenue_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$58 = (KSCHL_Surcharge_Default_Parm) err$code = DSSetParam(h$V0S57, "KSCHL_Surcharge_Default_Parm", p$V0S57$58) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "KSCHL_Surcharge_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End p$V0S57$59 = (Invocation_Parm)

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err$code = DSSetParam(h$V0S57, "Invocation_Parm", p$V0S57$59) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Invocation_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End err$code = DSRunJob(h$V0S57, DSJ.RUNNORMAL) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0003\Error calling DSRunJob(%1), code=%2[E]", jb$V0S57:@FM:err$code) msg$id = "@FR_PARIS_Control_Start_Processing_SAct"; GoTo L$ERROR End handle$list<-1> = h$V0S57 id$list<-1> = "V0S57" Return ************************************************** L$V0S57$FINISHED: job$V0S57$status = DSGetJobInfo(h$V0S57, DSJ.JOBSTATUS) job$V0S57$userstatus = DSGetJobInfo(h$V0S57, DSJ.USERSTATUS) summary$<1,-1> = Time$$:Convert(@VM, " ", DSMakeMsg("DSTAGE_JSG_M_0063\%1 finished, status=%2[E]", "FR_PARIS_Control_Start_Processing_SAct":@FM:job$V0S57$status)) IdV0S57%%Result2%%8 = job$V0S57$userstatus IdV0S57%%Result1%%9 = job$V0S57$status IdV0S57%%Name%%10 = "FR_PARIS_Control_Start_Processing_Seq" rpt$V0S57 = DSMakeJobReport(h$V0S57, 1, "CRLF") dummy$ = DSDetachJob(h$V0S57) If b$Abandoning Then GoTo L$WAITFORJOB b$V0S57else = @True If (job$V0S57$status = DSJS.RUNOK) Then GoSub L$V0S43$START; b$V0S57else = @False If (job$V0S57$status = DSJS.RUNOK) Then GoSub L$V0S0$START; b$V0S57else = @False If b$V0S57else Then GoSub L$V0S44$START GoTo L$WAITFORJOB ************************************************** L$V0S61$START: *** Activity "FR_PARIS_Control_End_Processing_SAct": Initialize job summary$<1,-1> = Time$$:Convert(@VM, " ", DSMakeMsg("DSTAGE_JSG_M_0057\%1 (JOB %2) started", "FR_PARIS_Control_End_Processing_SAct":@FM:"FR_PARIS_Control_End_Proces sing_Seq")) Call DSLogInfo(DSMakeMsg("SEQUENCE START Control_End_Processing_Seq", ""), "@FR_PARIS_Control_End_Processing_SAct") jb$V0S61 = "FR_PARIS_Control_End_Processing_Seq":'.':(Module_Run_Parm) h$V0S61 = DSAttachJob(jb$V0S61, DSJ.ERRNONE) If (Not(h$V0S61)) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0001\Error calling DSAttachJob(%1)%2", jb$V0S61:@FM:DSGetLastErrorMsg()) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End h$V0S61 = DSPrepareJob(h$V0S61) If (Not(h$V0S61)) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0012\Error calling DSPrepareJob(%1)%2", jb$V0S61:@FM:DSGetLastErrorMsg())

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msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End L$V0S61$PREPARED: p$V0S61$1 = (Project_Parm) err$code = DSSetParam(h$V0S61, "Project_Parm", p$V0S61$1) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Project_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$2 = (Module_Parm) err$code = DSSetParam(h$V0S61, "Module_Parm", p$V0S61$2) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Module_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$3 = (Run_Parm) err$code = DSSetParam(h$V0S61, "Run_Parm", p$V0S61$3) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Run_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$4 = (Module_Run_Parm) err$code = DSSetParam(h$V0S61, "Module_Run_Parm", p$V0S61$4) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Module_Run_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$5 = (Data_Object_Parm) err$code = DSSetParam(h$V0S61, "Data_Object_Parm", p$V0S61$5) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Data_Object_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$6 = (Interface_Parm) err$code = DSSetParam(h$V0S61, "Interface_Parm", p$V0S61$6) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Interface_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$7 = (Interface_Root_Path_Parm) err$code = DSSetParam(h$V0S61, "Interface_Root_Path_Parm", p$V0S61$7) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Interface_Root_Path_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$8 = (Generic_Root_Path_Parm) err$code = DSSetParam(h$V0S61, "Generic_Root_Path_Parm", p$V0S61$8) If (err$code <> DSJE.NOERROR) Then

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msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Generic_Root_Path_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$9 = (Business_Process_Parm) err$code = DSSetParam(h$V0S61, "Business_Process_Parm", p$V0S61$9) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Business_Process_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$10 = (Company_Parm) err$code = DSSetParam(h$V0S61, "Company_Parm", p$V0S61$10) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Company_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$11 = (Country_Parm) err$code = DSSetParam(h$V0S61, "Country_Parm", p$V0S61$11) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Country_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$12 = (SAP_Client_Parm) err$code = DSSetParam(h$V0S61, "SAP_Client_Parm", p$V0S61$12) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "SAP_Client_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$13 = (Source_System_Parm) err$code = DSSetParam(h$V0S61, "Source_System_Parm", p$V0S61$13) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Source_System_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$14 = (Fileset_Type_Name_Parm) err$code = DSSetParam(h$V0S61, "Fileset_Name_Type_Parm", p$V0S61$14) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Fileset_Name_Type_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$15 = (Request_Type_Parm) err$code = DSSetParam(h$V0S61, "Request_Type_Parm", p$V0S61$15) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Request_Type_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$16 = (Timestamp_Parm) err$code = DSSetParam(h$V0S61, "Timestamp_Parm", p$V0S61$16) If (err$code <> DSJE.NOERROR) Then

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msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Timestamp_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$17 = (Fileset_Parm) err$code = DSSetParam(h$V0S61, "Fileset_Parm", p$V0S61$17) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Fileset_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$18 = (File_Parm) err$code = DSSetParam(h$V0S61, "File_Parm", p$V0S61$18) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "File_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$19 = (File_Name_Parm) err$code = DSSetParam(h$V0S61, "File_Name_Parm", p$V0S61$19) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "File_Name_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$20 = (ISDB_Database_Parm) err$code = DSSetParam(h$V0S61, "ISDB_Database_Parm", p$V0S61$20) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "ISDB_Database_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$21 = (ISDB_User_Parm) err$code = DSSetParam(h$V0S61, "ISDB_User_Parm", p$V0S61$21) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "ISDB_User_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$22 = (ISDB_Password_Parm) err$code = DSSetParam(h$V0S61, "ISDB_Password_Parm", p$V0S61$22) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "ISDB_Password_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$23 = (CSDB_Database_Parm) err$code = DSSetParam(h$V0S61, "CSDB_Database_Parm", p$V0S61$23) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "CSDB_Database_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$24 = (CSDB_User_Parm) err$code = DSSetParam(h$V0S61, "CSDB_User_Parm", p$V0S61$24) If (err$code <> DSJE.NOERROR) Then

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msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "CSDB_User_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$25 = (CSDB_Password_Parm) err$code = DSSetParam(h$V0S61, "CSDB_Password_Parm", p$V0S61$25) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "CSDB_Password_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$26 = (Retest_Parm) err$code = DSSetParam(h$V0S61, "Retest_Parm", p$V0S61$26) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Retest_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$27 = (Versions_Keep_Cnt_Parm) err$code = DSSetParam(h$V0S61, "Versions_Keep_Cnt_Parm", p$V0S61$27) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Versions_Keep_Cnt_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$28 = (Parm_File_Comma_Parm) err$code = DSSetParam(h$V0S61, "Parm_File_Comma_Parm", p$V0S61$28) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Parm_File_Comma_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$29 = (FTP_Server) err$code = DSSetParam(h$V0S61, "FTP_Server", p$V0S61$29) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "FTP_Server":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$30 = (FTP_Target_Path) err$code = DSSetParam(h$V0S61, "FTP_Target_Path", p$V0S61$30) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "FTP_Target_Path":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$31 = (FTP_Port) err$code = DSSetParam(h$V0S61, "FTP_Port", p$V0S61$31) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "FTP_Port":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$32 = (FTP_User) err$code = DSSetParam(h$V0S61, "FTP_User", p$V0S61$32) If (err$code <> DSJE.NOERROR) Then

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msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "FTP_User":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$33 = (FTP_Password) err$code = DSSetParam(h$V0S61, "FTP_Password", p$V0S61$33) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "FTP_Password":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$34 = (Abort_Msg_Parm) err$code = DSSetParam(h$V0S61, "Abort_Msg_Parm", p$V0S61$34) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Abort_Msg_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$35 = (Load_ISDB_Rejects_Parm) err$code = DSSetParam(h$V0S61, "Load_ISDB_Rejects_Parm", p$V0S61$35) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Load_ISDB_Rejects_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$36 = (Load_ISDB_Source_Parm) err$code = DSSetParam(h$V0S61, "Load_ISDB_Source_Parm", p$V0S61$36) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Load_ISDB_Source_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$37 = (Source_Delimiter_Parm) err$code = DSSetParam(h$V0S61, "Source_Delimiter_Parm", p$V0S61$37) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Source_Delimiter_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$38 = (KTGRM_Header_Default_Parm) err$code = DSSetParam(h$V0S61, "KTGRM_Header_Default_Parm", p$V0S61$38) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "KTGRM_Header_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$39 = (VTWEG_Header_Default_Parm) err$code = DSSetParam(h$V0S61, "VTWEG_Header_Default_Parm", p$V0S61$39) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "VTWEG_Header_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$40 = (SPART_Header_Default_Parm)

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err$code = DSSetParam(h$V0S61, "SPART_Header_Default_Parm", p$V0S61$40) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "SPART_Header_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$41 = (WAERS_Local_Default_Parm) err$code = DSSetParam(h$V0S61, "WAERS_Local_Default_Parm", p$V0S61$41) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "WAERS_Local_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$42 = (WAERS_Foreign_Default_Parm) err$code = DSSetParam(h$V0S61, "WAERS_Foreign_Default_Parm", p$V0S61$42) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "WAERS_Foreign_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$43 = (KURSK_Default_Parm) err$code = DSSetParam(h$V0S61, "KURSK_Default_Parm", p$V0S61$43) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "KURSK_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$44 = (AUART_Header_Default_Parm) err$code = DSSetParam(h$V0S61, "AUART_Header_Default_Parm", p$V0S61$44) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "AUART_Header_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$45 = (ZLSCH_Header_Default_Parm) err$code = DSSetParam(h$V0S61, "ZLSCH_Header_Default_Parm", p$V0S61$45) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "ZLSCH_Header_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$46 = (ZTERM_Header_Default_Parm) err$code = DSSetParam(h$V0S61, "ZTERM_Header_Default_Parm", p$V0S61$46) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "ZTERM_Header_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$47 = (WERKS_Header_Default_Parm) err$code = DSSetParam(h$V0S61, "WERKS_Header_Default_Parm", p$V0S61$47)

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If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "WERKS_Header_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$48 = (VKORG_Header_Default_Parm) err$code = DSSetParam(h$V0S61, "VKORG_Header_Default_Parm", p$V0S61$48) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "VKORG_Header_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$49 = (TAXM1_Line_Default_Parm) err$code = DSSetParam(h$V0S61, "TAXM1_Line_Default_Parm", p$V0S61$49) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "TAXM1_Line_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$50 = (VRKME_Line_Default_Parm) err$code = DSSetParam(h$V0S61, "VRKME_Line_Default_Parm", p$V0S61$50) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "VRKME_Line_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$51 = (VKGRP_Line_Default_Parm) err$code = DSSetParam(h$V0S61, "VKGRP_Line_Default_Parm", p$V0S61$51) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "VKGRP_Line_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$52 = (VKBUR_Line_Default_Parm) err$code = DSSetParam(h$V0S61, "VKBUR_Line_Default_Parm", p$V0S61$52) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "VKBUR_Line_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$53 = (LGORT_Line_Default_Parm) err$code = DSSetParam(h$V0S61, "LGORT_Line_Default_Parm", p$V0S61$53) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "LGORT_Line_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$54 = (KOSTL_Line_Default_Parm) err$code = DSSetParam(h$V0S61, "KOSTL_Line_Default_Parm", p$V0S61$54) If (err$code <> DSJE.NOERROR) Then

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msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "KOSTL_Line_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$55 = (ZZTAXCD_Default_Parm) err$code = DSSetParam(h$V0S61, "ZZTAXCD_Default_Parm", p$V0S61$55) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "ZZTAXCD_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$56 = (KBETR_Revenue_Default_Parm) err$code = DSSetParam(h$V0S61, "KBETR_Revenue_Default_Parm", p$V0S61$56) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "KBETR_Revenue_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$57 = (KSCHL_Revenue_Default_Parm) err$code = DSSetParam(h$V0S61, "KSCHL_Revenue_Default_Parm", p$V0S61$57) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "KSCHL_Revenue_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$58 = (KSCHL_Surcharge_Default_Parm) err$code = DSSetParam(h$V0S61, "KSCHL_Surcharge_Default_Parm", p$V0S61$58) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "KSCHL_Surcharge_Default_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$59 = (Invocation_Parm) err$code = DSSetParam(h$V0S61, "Invocation_Parm", p$V0S61$59) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Invocation_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$60 = (Run_Reconciliation_Parm) err$code = DSSetParam(h$V0S61, "Run_Reconciliation_Parm", p$V0S61$60) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Run_Reconciliation_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$61 = (Run_Error_Mgmt_Parm) err$code = DSSetParam(h$V0S61, "Run_Error_Mgmt_Parm", p$V0S61$61) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Run_Error_Mgmt_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End

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p$V0S61$62 = (Update_Status_In_DB_Parm) err$code = DSSetParam(h$V0S61, "Update_Status_In_DB_Parm", p$V0S61$62) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Update_Status_In_DB_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End p$V0S61$63 = (Load_ISDB_Cmn_Fmt_Parm) err$code = DSSetParam(h$V0S61, "Load_ISDB_Cmn_Fmt_Parm", p$V0S61$63) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0002\Error calling DSSetParam(%1), code=%2[E]", "Load_ISDB_Cmn_Fmt_Parm":@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End err$code = DSRunJob(h$V0S61, DSJ.RUNNORMAL) If (err$code <> DSJE.NOERROR) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0003\Error calling DSRunJob(%1), code=%2[E]", jb$V0S61:@FM:err$code) msg$id = "@FR_PARIS_Control_End_Processing_SAct"; GoTo L$ERROR End handle$list<-1> = h$V0S61 id$list<-1> = "V0S61" Return ************************************************** L$V0S61$FINISHED: job$V0S61$status = DSGetJobInfo(h$V0S61, DSJ.JOBSTATUS) job$V0S61$userstatus = DSGetJobInfo(h$V0S61, DSJ.USERSTATUS) summary$<1,-1> = Time$$:Convert(@VM, " ", DSMakeMsg("DSTAGE_JSG_M_0063\%1 finished, status=%2[E]", "FR_PARIS_Control_End_Processing_SAct":@FM:job$V0S61$status)) IdV0S61%%Result2%%11 = job$V0S61$userstatus IdV0S61%%Result1%%12 = job$V0S61$status IdV0S61%%Name%%13 = "FR_PARIS_Control_End_Processing_Seq" rpt$V0S61 = DSMakeJobReport(h$V0S61, 1, "CRLF") dummy$ = DSDetachJob(h$V0S61) If b$Abandoning Then GoTo L$WAITFORJOB b$V0S61else = @True If (job$V0S61$status = DSJS.RUNOK) Then GoSub L$V0S43$START; b$V0S61else = @False If b$V0S61else Then GoSub L$V0S44$START GoTo L$WAITFORJOB ************************************************** L$V0S72$START: *** Activity "Abort_RAct": Call routine summary$<1,-1> = Time$$:Convert(@VM, " ", DSMakeMsg("DSTAGE_JSG_M_0058\%1 (ROUTINE %2) started", "Abort_RAct":@FM:"DSX.UTILITYABORTTOLOG")) rtn$ok = DSCheckRoutine("DSX.UTILITYABORTTOLOG") If (Not(rtn$ok)) Then msg$ = DSMakeMsg("DSTAGE_JSG_M_0005\BASIC routine is not cataloged: %1", "DSX.UTILITYABORTTOLOG") msg$id = "@Abort_RAct"; GoTo L$ERROR End p$V0S72$1 = (Abort_Msg_Parm) Call 'DSX.UTILITYABORTTOLOG'(r$V0S72, p$V0S72$1)

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summary$<1,-1> = Time$$:Convert(@VM, " ", DSMakeMsg("DSTAGE_JSG_M_0064\%1 finished, reply=%2", "Abort_RAct":@FM:r$V0S72)) IdV0S72%%Result1%%14 = r$V0S72 IdV0S72%%Name%%16 = "DSX.UTILITYABORTTOLOG" Return ************************************************** L$WAITFORJOB: If handle$list = "" Then GoTo L$FINISH handle$ = DSWaitForJob(handle$list) If handle$ = 0 Then handle$ = handle$list<1> Locate handle$ In handle$list Setting index$ Then id$ = id$list b$Abandoning = abort$list Del id$list; Del handle$list; Del abort$list Begin Case Case id$ = "V0S0" GoTo L$V0S0$FINISHED Case id$ = "V0S57" GoTo L$V0S57$FINISHED Case id$ = "V0S61" GoTo L$V0S61$FINISHED End Case End * Error if fall though handle$list = "" msg$ = DSMakeMsg("DSTAGE_JSG_M_0008\Error calling DSWaitForJob(), code=%1[E]", handle$) msg$id = "@Coordinator"; GoTo L$ERROR ************************************************** L$ERROR: Call DSLogWarn(DSMakeMsg("DSTAGE_JSG_M_0009\Controller problem: %1", msg$), msg$id) summary$<1,-1> = Time$$:Convert(@VM, " ", DSMakeMsg("DSTAGE_JSG_M_0052\Exception raised: %1", msg$id:", ":msg$)) abort$list = Ifs(handle$list, Str(1:@FM, DCount(handle$list, @FM)), "") b$Abandoning = @True GoTo L$WAITFORJOB L$ABORT: summary$<1,-1> = Time$$:Convert(@VM, " ", DSMakeMsg("DSTAGE_JSG_M_0056\Sequence failed", "")) Call DSLogInfo(summary$, "@Coordinator") Call DSLogFatal(DSMakeMsg("DSTAGE_JSG_M_0013\Sequence job will abort due to previous unrecoverable errors", ""), "@Coordinator") ************************************************** L$FINISH: If b$Abandoning Then GoTo L$ABORT If Not(b$AllStarted) Then Return summary$<1,-1> = Time$$:Convert(@VM, " ", DSMakeMsg("DSTAGE_JSG_M_0054\Sequence finished OK", "")) Call DSLogInfo(summary$, "@Coordinator") L$EXIT: Return To L$EXIT

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Hello, This (dw-informatica) is an excellent yahoo group for developing your sound knowledge in Informatica Products and for sharing your knowledge of Data Warehousing Tools. This group is for those who really want to be a MASTER in data warehouse development and want to get more knowledge over data warehousing, and business intelligence. People are here in this group for sharing their real-time experience and guide you for better approach to Informatica products. So post your queries and get the answer. Join this group at http://groups.yahoo.com/group/dw-informatica/ Mission Statement of group: This group is for getting sound knowledge of Informatica PowerCenter and Data Warehousing Technologies. Owner & Moderator:

Raveen Ollalwar

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