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Deconstructing the Statement.setFetchSize(nSize) Method in Microsoft SQL Server JDBC Driver
When dealing with massive tabular data in Microsoft SQL Server databases, efficient memory utilization becomes paramount. However, setting the Statement.setFetchSize(10) method often proves ineffective in controlling memory consumption. Let's delve into the mechanics of this method.
Background
The setFetchSize(int) method in JDBC aims to optimize memory usage and performance by controlling the number of network calls between the JVM and the database. Each call retrieves a "ROW-SET" of rows from the larger "RESULT-SET" returned by the query. The ROW-SET is stored locally on the JVM.
Default Behavior
By default, the fetch size is set to 10, meaning a maximum of 10 rows are fetched at a time. This can lead to a significant memory footprint if the RESULT-SET is large, as all fetched rows are stored in memory.
Ignoring Fetch Size
In the specific case of Microsoft SQL Server 2005 JDBC Driver, it appears that the driver ignores the fetch size hint specified by setFetchSize(10). Consequently, all rows are fetched at once, resulting in a large memory requirement.
Alternative Solutions
Since the driver does not respect the fetch size, alternative solutions must be considered:
Understanding Row Handling
To further clarify, ResultSet.next() does not retrieve a single row at a time. Instead, it fetches the next row from the ROW-SET and triggers an invisible fetch of the next ROW-SET when the current one is exhausted. Therefore, the size of the ROW-SET defined by the fetch size plays a crucial role in memory management.
Conclusion
While the Statement.setFetchSize(nSize) method is intended to control memory usage in JDBC, its effectiveness varies depending on the specific JDBC driver. In the case of Microsoft SQL Server 2005 JDBC Driver, alternative solutions are required to optimize memory consumption for large RESULT-SETs.
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