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modified rows and are only one of three forms of "updates" So far, when constructing and using a data adapter to retrieve data, we have been setting its SelectCommand property to an instance of a SqlCommand that wraps a SQL text query or a stored procedure that returns the rows used to initially populate the table To perform updates using a data adapter, you also need to provide command objects for the adapter's InsertCommand, DeleteCommand, and UpdateCommand properties, depending on which of those you expect to perform As you might expect, the InsertCommand will be used for any rows marked as Added, the DeleteCommand for any rows marked as Deleted, and the UpdateCommand for any rows marked as Modified If a data set doesn't contain any rows with a particular row state, the corresponding command doesn't have to be supplied since it won't be used Generally speaking, you will want to provide all three because you cannot be sure that no rows will be in the modified, added, or deleted state when an update is performed Just like the select command used to fill a data set, the commands used for updating the database with a data set can use either SQL text queries or stored procedures, passing the columns of the updated rows as parameters For simple applications that need to work directly against a single table in the database at a time, you can use parameterized SQL text queries For larger scale applications, you may want to use stored procedures Either way, the commands you associate with the data adapter will be executed once for each row in the data set that needs to perform an update This can result in a lot of network round-trips to the database for a large data set that has a lot of changes in it To address this problem, in ADONET 20 the SqlDataAdapter class includes a batch updating feature hat will group all of the queries and send them all to the database in one or several chunks To use this feature, you set the UpdateBatchSize property on the SqlDataAdapter to some value other than 1 (the default) If you set the value to 0 (zero), then all of the updates will be batched into a single bunch If you set some positive value greater than 1, the data adapter will batch sets of that many update queries and send them in chunks until all of the updates have completed You do need to keep in mind, though, that when you send a batch of update queries using this approach, they will all execute as a single transaction in SQL Server So if any one row in a batch fails to perform its update, the entire batch will fail To automatically formulate the update queries for working directly against the tables, the SqlCommandBuilder class can examine the select command that is in use by a data adapter and dynamically build insert, update, and delete commands for you It will then populate the command properties of the data adapter with the generated queries The command builder works well for simple data sets that contain tables generated from SELECT statements against a single table with a primary key constraint This all happens by constructing a command builder object and passing in the data adapter that it is to create commands for You won't actually call any of its methods or properties directly The constructor for the command builder reaches into the data adapter and sets its InsertCommand, UpdateCommand, and DeleteCommand properties to suitable queries based on the columns that are populated with the SelectCommand The following code demonstrates the use of a command builder to generate the update queries and use them to push the changes from a data set to the database In this code, the data set and the data adapter are members on the enclosing class because they are used in a different method to populate the data set with a SELECT query private void btnSaveChanges_Click(object sender, SystemEventArgs e) { // Get the connection off the existing select command of the adapter SqlConnection conn = m_.

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characteristicsThere is more initial request overhead when using BatchPutAttributes as compared to PutAttributesAlthough you can use this operation to store anywhere from 1 to 25 items at a time, it is really only worth it when the number is closer to 25 than to 1 If you only have a few items to store, individual PutAttributes calls are likely to be faster and more efficient There is no rule set in stone dictating the minimum number of items needed to make BatchPutAttributes worth the overhead In fact, the important factors for deciding whether to batch up your puts have nothing to do with performance One factor is the way SimpleDB handles errorsAll of the items in a batch will be rejected or accepted as a unit Items in the batch will never be partially applied If your application needs to take individual actions based on the results of each item in the batch (for example, generating responses for application users), individual errors can be disruptive because just one of them causes the entire batch to failYou can avoid most of the errors that can occur with BatchPutAttributes by sending a request that respects the operation limits However, you may have no way of knowing ahead of time that one of the items in the batch is already t the 256-attributes limit and the whole operation will failThis makes BatchPutAttributes potentially cumbersome for updating existing items If you only have a few items at a time to store, if you are updating existing items or if you need to minimize latency, my recommendation is to use PutAttributes If you have a large quantity of new data to store and total throughput is more important than individual request latency, BatchPutAttributes is a better option.

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