In the above example, using question marks (?) or the properly called parameter marker means that they are bound to application variables. INSERT INTO Test ( TestID, Description, TimeElapsed, TimeCompleted ) VALUES ( ?, ?, ?, ? ) SQL Server Open Database Connectivity (ODBC) API supports three types of batchesĮxplicit batches – this is when two or more SQL statements are combined in the single batch script and separated by semicolons ( ) Multiple transactions can be folded in a single SQL batch, which has the advantage of granting the integrity of SQL Server objects (tables for example) Multiple batches that work with multiple objects can be folded within a single transaction block, though they are not allowed to violate execution plans of the individual batches Variables created within a batch cannot be used outside of the batch SQL batches ensures creation of a single query execution plan One aspect of better efficiency lies in the fact that network traffic is reduced in most cases, the second aspect is that targeted data source can often optimize execution of the statements in a SQL Server batchĪ SQL batch is, in its essence, a collection of various SQL statements put together to be executed without a guarantee that it will either succeed or fail The advantage of such approach is that execution is more efficient compared to executing each containing statement independently. That practically means that the result is returned after the entire batch statement executes. When executing multiple SQL Server statements as a group of statements, or when executing a single SQL statement that consists of a group of multiple SQL statements, it is considered as a SQL Server batch. So, to correctly understand those important metrics, lets first try to understand what the batches and transactions in SQL Server are and what are the differences between the two While they could look similar, they are using a different type of starting point for measurement the batches and transactions. When those metrics trend higher, they often affect all other metrics and make them go higher as well. Two metrics that are often considered as indicators of how busy SQL Server is are Batch Requests/sec and Transaction/sec. When maintaining SQL Server, it is essential to get an accurate perception of how busy it is.
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