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ADO .Net Interview Questions 1. Explain what a diffgram is and its usage?

A DiffGram is an XML format that is used to identify current and original versions of data elements. The DataSet uses the DiffGram format to load and persist its contents, and to serialize its contents for transport across a network connection. When a DataSet is written as a DiffGram, it populates the DiffGram with all the necessary information to accurately recreate the contents, though not the schema, of the DataSet, including column values from both the Original and Current row versions, row error information, and row order. When sending and retrieving a DataSet from an XML Web service, the DiffGram format is implicitly used. Additionally, when loading the contents of a DataSet from XML using the ReadXml method, or when writing the contents of a DataSet in XML using the WriteXml method, you can select that the contents be read or written as a DiffGram. The DiffGram format is divided into three sections: the current data, the original (or "before") data, and an errors section, as shown in the following example. The DiffGram format consists of the following blocks of data: The name of this element, DataInstance, is used for explanation purposes in this documentation. A DataInstance element represents a DataSet or a row of a DataTable. Instead of DataInstance, the element would contain the name of the DataSet or DataTable. This block of the DiffGram format contains the current data, whether it has been modified or not. An element, or row, that has been modified is identified with the diffgr:hasChanges annotation. This block of the DiffGram format contains the original version of a row. Elements in this block are matched to elements in the DataInstance block using the diffgr:id annotation. This block of the DiffGram format contains error information for a particular row in the DataInstance block. Elements in this block are matched to elements in the DataInstance block using the diffgr:id annotation.

Which method do you invoke on the DataAdapter control to load your generated dataset with data? You have to use the Fill method of the DataAdapter control and pass the dataset object as an argument to load the generated data. Can you edit data in the Repeater control? NO. Which are the different IsolationLevels ? Following are the various IsolationLevels: • • • • •

Serialized Data read by a current transaction cannot be changed by another transaction until the current transaction finishes. No new data can be inserted that would affect the current transaction. This is the safest isolation level and is the default. Repeatable Read Data read by a current transaction cannot be changed by another transaction until the current transaction finishes. Any type of new data can be inserted during a transaction. Read Committed A transaction cannot read data that is being modified by another transaction that has not committed. This is the default isolation level in Microsoft® SQL Server. Read Uncommitted A transaction can read any data, even if it is being modified by another transaction. This is the least safe isolation level but allows the highest concurrency. Any Any isolation level is supported. This setting is most commonly used by downstream components to avoid conflicts. This setting is useful because any downstream component must be configured with an isolation level that is equal to or less than the isolation level of its immediate upstream component. Therefore, a downstream component that has its isolation level configured as Any always uses the same isolation level that its immediate upstream component uses. If the root object in a transaction has its isolation level configured to Any, its isolation level becomes Serialized.

How xml files and be read and write using dataset?. DataSet exposes method like ReadXml and WriteXml to read and write xml What are the different rowversions available? There are four types of Rowversions. Current: The current values for the row. This row version does not exist for rows with a RowState of Deleted. Default : The row the default version for the current DataRowState. For a DataRowState value of Added, Modified or Current, the default version is Current. For a DataRowState of Deleted, the version is Original. For a DataRowState value of Detached, the version is Proposed. Original: The row contains its original values. Proposed: The proposed values for the row. This row version exists during an edit operation on a row, or for a row that is not part of a DataRowCollection

Explain acid properties?. The term ACID conveys the role transactions play in mission-critical applications. Coined by transaction processing pioneers, ACID stands for atomicity, consistency, isolation, and durability. These properties ensure predictable behavior, reinforcing the role of transactions as all-or-none propositions designed to reduce the management load when there are many variables. Atomicity A transaction is a unit of work in which a series of operations occur between the BEGIN TRANSACTION and END TRANSACTION statements of an application. A transaction executes exactly once and is atomic — all the work is done or none of it is. Operations associated with a transaction usually share a common intent and are interdependent. By performing only a subset of these operations, the system could compromise the overall intent of the transaction. Atomicity eliminates the chance of processing a subset of operations. Consistency A transaction is a unit of integrity because it preserves the consistency of data, transforming one consistent state of data into another consistent state of data. Consistency requires that data bound by a transaction be semantically preserved. Some of the responsibility for maintaining consistency falls to the application developer who must make sure that all known integrity constraints are enforced by the application. For example, in developing an application that transfers money, you should avoid arbitrarily moving decimal points during the transfer. Isolation A transaction is a unit of isolation — allowing concurrent transactions to behave as though each were the only transaction running in the system. Isolation requires that each transaction appear to be the only transaction manipulating the data store, even though other transactions may be running at the same time. A transaction should never see the intermediate stages of another transaction. Transactions attain the highest level of isolation when they are serializable. At this level, the results obtained from a set of concurrent transactions are identical to the results obtained by running each transaction serially. Because a high degree of isolation can limit the number of concurrent transactions, some applications reduce the isolation level in exchange for better throughput. Durability A transaction is also a unit of recovery. If a transaction succeeds, the system guarantees that its updates will persist, even if the computer crashes immediately after the commit. Specialized logging allows the system's restart procedure to complete unfinished operations, making the transaction durable.

Whate are different types of Commands available with DataAdapter ? The SqlDataAdapter has SelectCommand, InsertCommand, DeleteCommand and UpdateCommand What is a Dataset? Datasets are the result of bringing together ADO and XML. A dataset contains one or more data

of tabular XML, known as DataTables, these data can be treated separately, or can have relationships defined between them. Indeed these relationships give you ADO data SHAPING without needing to master the SHAPE language, which many people are not comfortable with. The dataset is a disconnected in-memory cache database. The dataset object model looks like this: Dataset DataTableCollection DataTable DataView DataRowCollection DataRow DataColumnCollection DataColumn ChildRelations ParentRelations Constraints PrimaryKey DataRelationCollection Let’s take a look at each of these: DataTableCollection: As we say that a DataSet is an in-memory database. So it has this collection, which holds data from multiple tables in a single DataSet object. DataTable: In the DataTableCollection, we have DataTable objects, which represents the individual tables of the dataset. DataView: The way we have views in database, same way we can have DataViews. We can use these DataViews to do Sort, filter data. DataRowCollection: Similar to DataTableCollection, to represent each row in each Table we have DataRowCollection. DataRow: To represent each and every row of the DataRowCollection, we have DataRows. DataColumnCollection: Similar to DataTableCollection, to represent each column in each Table we have DataColumnCollection. DataColumn: To represent each and every Column of the DataColumnCollection, we have DataColumn. PrimaryKey: Dataset defines Primary key for the table and the primary key validation will take place without going to the database. Constraints: We can define various constraints on the Tables, and can use Dataset.Tables(0).enforceConstraints. This will execute all the constraints, whenever we enter data in DataTable. DataRelationCollection: as we know that we can have more than 1 table in the dataset, we can also define relationship between these tables using this collection and maintain a parent-child relationship

Explain the ADO . Net Architecture ( .Net Data Provider) ADO.Net is the data access model for .Net –based applications. It can be used to access relational database systems such as SQL SERVER 2000, Oracle, and many other data sources for which there is an OLD DB or ODBC provider. To a certain extent, ADO.NET represents the latest evolution of ADO technology. However, ADO.NET introduces some major changes and innovations that are aimed at the loosely coupled and inherently disconnected – nature of web applications. A .Net Framework data provider is used to connecting to a database, executing commands, and retrieving results. Those results are either processed directly, or placed in an ADO.NET DataSet in order to be exposed to the user in an ad-hoc manner, combined with data from multiple sources, or remoted between tiers. The .NET Framework data provider is designed to be lightweight, creating a minimal layer between the data source and your code, increasing performance without sacrificing functionality. Following are the 4 core objects of .Net Framework Data provider: • • • •

Connection: Establishes a connection to a specific data source Command: Executes a command against a data source. Exposes Parameters and can execute within the scope of a Transaction from a Connection. DataReader: Reads a forward-only, read-only stream of data from a data source. DataAdapter: Populates a DataSet and resolves updates with the data source.

The .NET Framework includes the .NET Framework Data Provider for SQL Server (for Microsoft SQL Server version 7.0 or later), the .NET Framework Data Provider for OLE DB, and the .NET Framework Data Provider for ODBC. The .NET Framework Data Provider for SQL Server: The .NET Framework Data Provider for SQL Server uses its own protocol to communicate with SQL Server. It is lightweight and performs well because it is optimized to access a SQL Server directly without adding an OLE DB or Open Database Connectivity (ODBC) layer. The following illustration contrasts the .NET Framework Data Provider for SQL Server with the .NET Framework Data Provider for OLE DB. The .NET Framework Data Provider for OLE DB communicates to an OLE DB data source through both the OLE DB Service component, which provides connection pooling and transaction services, and the OLE DB Provider for the data source The .NET Framework Data Provider for OLE DB: The .NET Framework Data Provider for OLE DB uses native OLE DB through COM interoperability to enable data access. The .NET Framework Data Provider for OLE DB supports both local and distributed transactions. For distributed transactions, the .NET Framework Data Provider for OLE DB, by default, automatically enlists in a transaction and obtains transaction details from Windows 2000 Component Services. The .NET Framework Data Provider for ODBC: The .NET Framework Data Provider for ODBC uses native ODBC Driver Manager (DM) through COM interoperability to enable data access. The ODBC data provider supports both local and distributed transactions. For distributed transactions, the ODBC data provider, by default, automatically enlists in a transaction and obtains transaction details from Windows 2000 Component Services. The .NET Framework Data Provider for Oracle: The .NET Framework Data Provider for Oracle enables data access to Oracle data sources through Oracle client connectivity software. The data provider supports Oracle client software version 8.1.7 and later. The data provider supports both local and distributed transactions (the data provider automatically enlists in existing distributed transactions, but does not currently support the EnlistDistributedTransaction method).

The .NET Framework Data Provider for Oracle requires that Oracle client software (version 8.1.7 or later) be installed on the system before you can use it to connect to an Oracle data source. .NET Framework Data Provider for Oracle classes are located in the System.Data.OracleClient namespace and are contained in the System.Data.OracleClient.dll assembly. You will need to reference both the System.Data.dll and the System.Data.OracleClient.dll when compiling an application that uses the data provider. Choosing a .NET Framework Data Provider .NET Framework Data Provider for SQL Server: Recommended for middle-tier applications using Microsoft SQL Server 7.0 or later. Recommended for single-tier applications using Microsoft Data Engine (MSDE) or Microsoft SQL Server 7.0 or later. Recommended over use of the OLE DB Provider for SQL Server (SQLOLEDB) with the .NET Framework Data Provider for OLE DB. For Microsoft SQL Server version 6.5 and earlier, you must use the OLE DB Provider for SQL Server with the .NET Framework Data Provider for OLE DB. .NET Framework Data Provider for OLE DB: Recommended for middle-tier applications using Microsoft SQL Server 6.5 or earlier, or any OLE DB provider. For Microsoft SQL Server 7.0 or later, the .NET Framework Data Provider for SQL Server is recommended. Recommended for single-tier applications using Microsoft Access databases. Use of a Microsoft Access database for a middle-tier application is not recommended. .NET Framework Data Provider for ODBC: Recommended for middle-tier applications using ODBC data sources. Recommended for single-tier applications using ODBC data sources. .NET Framework Data Provider for Oracle: Recommended for middle-tier applications using Oracle data sources. Recommended for single-tier applications using Oracle data sources. Supports Oracle client software version 8.1.7 and later. The .NET Framework Data Provider for Oracle classes are located in the System.Data.OracleClient namespace and are contained in the System.Data.OracleClient.dll assembly. You need to reference both the System.Data.dll and the System.Data.OracleClient.dll when compiling an application that uses the data provider. Can you explain the difference between an ADO.NET Dataset and an ADO Recordset? Let’s take a look at the differences between ADO Recordset and ADO.Net DataSet: 1. Table Collection: ADO Recordset provides the ability to navigate through a single table of information. That table would have been formed with a join of multiple tables and returning columns from multiple tables. ADO.NET DataSet is capable of holding instances of multiple tables. It has got a Table Collection, which holds multiple tables in it. If the tables are having a relation, then it can be manipulated on a Parent-Child relationship. It has the ability to support multiple tables with keys, constraints and interconnected relationships. With this ability the DataSet can be considered as a small, in-memory relational database cache. 2. Navigation: Navigation in ADO Recordset is based on the cursor mode. Even though it is specified to be a client-side Recordset, still the navigation pointer will move from one location to another on cursor model only. ADO.NET DataSet is an entirely offline, in-memory, and cache of data. All of its data is available all the time. At any time, we can retrieve any row or column, constraints or relation simply by accessing it either ordinarily or by retrieving it from a namebased collection. 3. Connectivity Model: The ADO Recordset was originally designed without the ability to operate in a disconnected environment. ADO.NET DataSet is specifically designed to be a disconnected in-memory database. ADO.NET DataSet follows a pure disconnected connectivity model and this

gives it much more scalability and versatility in the amount of things it can do and how easily it can do that. 4. Marshalling and Serialization: In COM, through Marshalling, we can pass data from 1 COM component to another component at any time. Marshalling involves copying and processing data so that a complex type can appear to the receiving component the same as it appeared to the sending component. Marshalling is an expensive operation. ADO.NET Dataset and DataTable components support Remoting in the form of XML serialization. Rather than doing expensive Marshalling, it uses XML and sent data across boundaries. 5. Firewalls and DCOM and Remoting: Those who have worked with DCOM know that how difficult it is to marshal a DCOM component across a router. People generally came up with workarounds to solve this issue. ADO.NET DataSet uses Remoting, through which a DataSet / DataTable component can be serialized into XML, sent across the wire to a new AppDomain, and then Desterilized back to a fully functional DataSet. As the DataSet is completely disconnected, and it has no dependency, we lose absolutely nothing by serializing and transferring it through Remoting.

How do you handle data concurrency in .NET ? One of the key features of the ADO.NET DataSet is that it can be a self-contained and disconnected data store. It can contain the schema and data from several rowsets in DataTable objects as well as information about how to relate the DataTable objects-all in memory. The DataSet neither knows nor cares where the data came from, nor does it need a link to an underlying data source. Because it is data source agnostic you can pass the DataSet around networks or even serialize it to XML and pass it across the Internet without losing any of its features. However, in a disconnected model, concurrency obviously becomes a much bigger problem than it is in a connected model. In this column, I'll explore how ADO.NET is equipped to detect and handle concurrency violations. I'll begin by discussing scenarios in which concurrency violations can occur using the ADO.NET disconnected model. Then I will walk through an ASP.NET application that handles concurrency violations by giving the user the choice to overwrite the changes or to refresh the out-of-sync data and begin editing again. Because part of managing an optimistic concurrency model can involve keeping a timestamp (rowversion) or another type of flag that indicates when a row was last updated, I will show how to implement this type of flag and how to maintain its value after each database update.

Is Your Glass Half Full? There are three common techniques for managing what happens when users try to modify the same data at the same time: pessimistic, optimistic, and last-in wins. They each handle concurrency issues differently. The pessimistic approach says: "Nobody can cause a concurrency violation with my data if I do not let them get at the data while I have it." This tactic prevents concurrency in the first place but it limits scalability because it prevents all concurrent access. Pessimistic concurrency generally locks a row from the time it is retrieved until the time updates are flushed to the database. Since this requires a connection to remain open during the entire process, pessimistic concurrency cannot successfully be implemented in a disconnected model like the ADO.NET DataSet, which opens a connection only long enough to populate the DataSet then releases and closes, so a database lock cannot be held.

Another technique for dealing with concurrency is the last-in wins approach. This model is pretty straightforward and easy to implement-whatever data modification was made last is what gets written to the database. To implement this technique you only need to put the primary key fields of the row in the UPDATE statement's WHERE clause. No matter what is changed, the UPDATE statement will overwrite the changes with its own changes since all it is looking for is the row that matches the primary key values. Unlike the pessimistic model, the last-in wins approach allows users to read the data while it is being edited on screen. However, problems can occur when users try to modify the same data at the same time because users can overwrite each other's changes without being notified of the collision. The last-in wins approach does not detect or notify the user of violations because it does not care. However the optimistic technique does detect violations In optimistic concurrency models, a row is only locked during the update to the database. Therefore the data can be retrieved and updated by other users at any time other than during the actual row update operation. Optimistic concurrency allows the data to be read simultaneously by multiple users and blocks other users less often than its pessimistic counterpart, making it a good choice for ADO.NET. In optimistic models, it is important to implement some type of concurrency violation detection that will catch any additional attempt to modify records that have already been modified but not committed. You can write your code to handle the violation by always rejecting and canceling the change request or by overwriting the request based on some business rules. Another way to handle the concurrency violation is to let the user decide what to do. The sample application that is shown in Figure 1 illustrates some of the options that can be presented to the user in the event of a concurrency violation. Where Did My Changes Go? When users are likely to overwrite each other's changes, control mechanisms should be put in place. Otherwise, changes could be lost. If the technique you're using is the last-in wins approach, then these types of overwrites are entirely possible.For example, imagine Julie wants to edit an employee's last name to correct the spelling. She navigates to a screen which loads the employee's information into a DataSet and has it presented to her in a Web page. Meanwhile, Scott is notified that the same employee's phone extension has changed. While Julie is correcting the employee's last name, Scott begins to correct his extension. Julie saves her changes first and then Scott saves his.Assuming that the application uses the last-in wins approach and updates the row using a SQL WHERE clause containing only the primary key's value, and assuming a change to one column requires the entire row to be updated, neither Julie nor Scott may immediatelyrealize the concurrency issue that just occurred. In this particular situation, Julie's changes were overwritten by Scott's changes because he saved last, and the last name reverted to the misspelled version. So as you can see, even though the users changed different fields, their changes collided and caused Julie's changes to be lost. Without some sort of concurrency detection and handling, these types of overwrites can occur and even go unnoticed.When you run the sample application included in this column's download, you should open two separate instances of Microsoft® Internet Explorer. When I generated the conflict, I opened two instances to simulate two users with two separate sessions so that a concurrency violation would occur in the sample application. When you do this, be careful not to use Ctrl+N because if you open one instance and then use the Ctrl+N technique to open another instance, both windows will share the same session. Detecting Violations The concurrency violation reported to the user in Figure 1 demonstrates what can happen when multiple users edit the same data at the same time. In Figure 1, the user attempted to modify the first name to "Joe" but since someone else had already modified the last name to "Fuller III," a concurrency violation was detected and reported. ADO.NET detects a concurrency violation when

a DataSet containing changed values is passed to a SqlDataAdapter's Update method and no rows are actually modified. Simply using the primary key (in this case the EmployeeID) in the UPDATE statement's WHERE clause will not cause a violation to be detected because it still updates the row (in fact, this technique has the same outcome as the last-in wins technique). Instead, more conditions must be specified in the WHERE clause in order for ADO.NET to detect the violation. The key here is to make the WHERE clause explicit enough so that it not only checks the primary key but that it also checks for another appropriate condition. One way to accomplish this is to pass in all modifiable fields to the WHERE clause in addition to the primary key. For example, the application shown in Figure 1 could have its UPDATE statement look like the stored procedure that's shown in Figure 2. Notice that in the code in Figure 2 nullable columns are also checked to see if the value passed in is NULL. This technique is not only messy but it can be difficult to maintain by hand and it requires you to test for a significant number of WHERE conditions just to update a row. This yields the desired result of only updating rows where none of the values have changed since the last time the user got the data, but there are other techniques that do not require such a huge WHERE clause. Another way to make sure that the row is only updated if it has not been modified by another user since you got the data is to add a timestamp column to the table. The SQL Server(tm) TIMESTAMP datatype automatically updates itself with a new value every time a value in its row is modified. This makes it a very simple and convenient tool to help detect concurrency violations. A third technique is to use a DATETIME column in which to track changes to its row. In my sample application I added a column called LastUpdateDateTime to the Employees table. ALTER TABLE Employees ADD LastUpdateDateTime DATETIME There I update the value of the LastUpdateDateTime field automatically in the UPDATE stored procedure using the built-in SQL Server GETDATE function. The binary TIMESTAMP column is simple to create and use since it automatically regenerates its value each time its row is modified, but since the DATETIME column technique is easier to display on screen and demonstrate when the change was made, I chose it for my sample application. Both of these are solid choices, but I prefer the TIMESTAMP technique since it does not involve any additional code to update its value. Retrieving Row Flags One of the keys to implementing concurrency controls is to update the timestamp or datetime field's value back into the DataSet. If the same user wants to make more modifications, this updated value is reflected in the DataSet so it can be used again. There are a few different ways to do this. The fastest is using output parameters within the stored procedure. (This should only return if @@ROWCOUNT equals 1.) The next fastest involves selecting the row again after the UPDATE within the stored procedure. The slowest involves selecting the row from another SQL statement or stored procedure from the SqlDataAdapter's RowUpdated event. I prefer to use the output parameter technique since it is the fastest and incurs the least overhead. Using the RowUpdated event works well, but it requires me to make a second call from the application to the database. The following code snippet adds an output parameter to the SqlCommand object that is used to update the Employee information:

oUpdCmd.Parameters.Add(new SqlParameter("@NewLastUpdateDateTime", SqlDbType.DateTime, 8, ParameterDirection.Output, false, 0, 0, "LastUpdateDateTime", DataRowVersion.Current, null)); oUpdCmd.UpdatedRowSource = UpdateRowSource.OutputParameters; The output parameter has its sourcecolumn and sourceversion arguments set to point the output parameter's return value back to the current value of the LastUpdateDateTime column of the DataSet. This way the updated DATETIME value is retrieved and can be returned to the user's .aspx page.

Saving Changes Now that the Employees table has the tracking field (LastUpdateDateTime) and the stored procedure has been created to use both the primary key and the tracking field in the WHERE clause of the UPDATE statement, let's take a look at the role of ADO.NET. In order to trap the event when the user changes the values in the textboxes, I created an event handler for the TextChanged event for each TextBox control: private void txtLastName_TextChanged(object sender, System.EventArgs e) { // Get the employee DataRow (there is only 1 row, otherwise I could // do a Find) dsEmployee.EmployeeRow oEmpRow = (dsEmployee.EmployeeRow)oDsEmployee.Employee.Rows[0]; oEmpRow.LastName = txtLastName.Text; // Save changes back to Session Session["oDsEmployee"] = oDsEmployee; } This event retrieves the row and sets the appropriate field's value from the TextBox. (Another way of getting the changed values is to grab them when the user clicks the Save button.) Each TextChanged event executes after the Page_Load event fires on a postback, so assuming the user changed the first and last names, when the user clicks the Save button, the events could fire in this order: Page_Load, txtFirstName_TextChanged, txtLastName_TextChanged, and btnSave_Click. The Page_Load event grabs the row from the DataSet in the Session object; the TextChanged events update the DataRow with the new values; and the btnSave_Click event attempts to save the record to the database. The btnSave_Click event calls the SaveEmployee method (shown in

Figure 3) and passes it a bLastInWins value of false since we want to attempt a standard save first. If the SaveEmployee method detects that changes were made to the row (using the HasChanges method on the DataSet, or alternatively using the RowState property on the row), it creates an instance of the Employee class and passes the DataSet to its SaveEmployee method. The Employee class could live in a logical or physical middle tier. (I wanted to make this a separate class so it would be easy to pull the code out and separate it from the presentation logic.) Notice that I did not use the GetChanges method to pull out only the modified rows and pass them to the Employee object's Save method. I skipped this step here since there is only one row. However, if there were multiple rows in the DataSet's DataTable, it would be better to use the GetChanges method to create a DataSet that contains only the modified rows. If the save succeeds, the Employee.SaveEmployee method returns a DataSet containing the modified row and its newly updated row version flag (in this case, the LastUpdateDateTime field's value). This DataSet is then merged into the original DataSet so that the LastUpdateDateTime field's value can be updated in the original DataSet. This must be done because if the user wants to make more changes she will need the current values from the database merged back into the local DataSet and shown on screen. This includes the LastUpdateDateTime value which is used in the WHERE clause. Without this field's current value, a false concurrency violation would occur. Reporting Violations If a concurrency violation occurs, it will bubble up and be caught by the exception handler shown in Figure 3 in the catch block for DBConcurrencyException. This block calls the FillConcurrencyValues method, which displays both the original values in the DataSet that were attempted to be saved to the database and the values currently in the database. This method is used merely to show the user why the violation occurred. Notice that the exDBC variable is passed to the FillConcurrencyValues method. This instance of the special database concurrency exception class (DBConcurrencyException) contains the row where the violation occurred. When a concurrency violation occurs, the screen is updated to look like Figure 1. The DataSet not only stores the schema and the current data, it also tracks changes that have been made to its data. It knows which rows and columns have been modified and it keeps track of the before and after versions of these values. When accessing a column's value via the DataRow's indexer, in addition to the column index you can also specify a value using the DataRowVersion enumerator. For example, after a user changes the value of the last name of an employee, the following lines of C# code will retrieve the original and current values stored in the LastName column: string sLastName_Before = oEmpRow["LastName", DataRowVersion.Original]; string sLastName_After = oEmpRow["LastName", DataRowVersion.Current]; The FillConcurrencyValues method uses the row from the DBConcurrencyException and gets a fresh copy of the same row from the database. It then displays the values using the DataRowVersion enumerators to show the original value of the row before the update and the value in the database alongside the current values in the textboxes. User's Choice Once the user has been notified of the concurrency issue, you could leave it up to her to decide how to handle it. Another alternative is to code a specific way to deal with concurrency, such as

always handling the exception to let the user know (but refreshing the data from the database). In this sample application I let the user decide what to do next. She can either cancel changes, cancel and reload from the database, save changes, or save anyway. The option to cancel changes simply calls the RejectChanges method of the DataSet and rebinds the DataSet to the controls in the ASP.NET page. The RejectChanges method reverts the changes that the user made back to its original state by setting all of the current field values to the original field values. The option to cancel changes and reload the data from the database also rejects the changes but additionally goes back to the database via the Employee class in order to get a fresh copy of the data before rebinding to the control on the ASP.NET page. The option to save changes attempts to save the changes but will fail if a concurrency violation is encountered. Finally, I included a "save anyway" option. This option takes the values the user attempted to save and uses the last-in wins technique, overwriting whatever is in the database. It does this by calling a different command object associated with a stored procedure that only uses the primary key field (EmployeeID) in the WHERE clause of the UPDATE statement. This technique should be used with caution as it will overwrite the record. If you want a more automatic way of dealing with the changes, you could get a fresh copy from the database. Then overwrite just the fields that the current user modified, such as the Extension field. That way, in the example I used the proper LastName would not be overwritten. Use this with caution as well, however, because if the same field was modified by both users, you may want to just back out or ask the user what to do next. What is obvious here is that there are several ways to deal with concurrency violations, each of which must be carefully weighed before you decide on the one you will use in your application. Wrapping It Up Setting the SqlDataAdapter's ContinueUpdateOnError property tells the SqlDataAdapter to either throw an exception when a concurrency violation occurs or to skip the row that caused the violation and to continue with the remaining updates. By setting this property to false (its default value), it will throw an exception when it encounters a concurrency violation. This technique is ideal when only saving a single row or when you are attempting to save multiple rows and want them all to commit or all to fail. I have split the topic of concurrency violation management into two parts. Next time I will focus on what to do when multiple rows could cause concurrency violations. I will also discuss how the DataViewRowState enumerators can be used to show what changes have been made to a DataSet. How you will set the datarelation between two columns? ADO.NET provides DataRelation object to set relation between two columns.It helps to enforce the following constraints,a unique constraint, which guarantees that a column in the table contains no duplicates and a foreign-key constraint,which can be used to maintain referential integrity.A unique constraint is implemented either by simply setting the Unique property of a data column to true, or by adding an instance of the UniqueConstraint class to the DataRelation object's ParentKeyConstraint. As part of the foreign-key constraint, you can specify referential integrity rules that are applied at three points,when a parent record is updated,when a parent record is deleted and when a change is accepted or rejected.

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