microsoft jdbc driver 6.2 for sql server usage example

Microsoft jdbc driver 6.2 for sql server usage example drivers#
Microsoft jdbc driver 6.2 for sql server usage example full#

This can be beneficial to other community members reading this thread.Recent releases of Hibernate, which Bitbucket uses to simplify its persistence layer, have introduced a requirement that the JDBC drivers and connection pools used be JDBC4-compliant. Please remember to click 'Mark as Answer' the responses that resolved your issue, and to click 'Unmark as Answer' if not. In addition, you could use monitor tools to monitor JDBC performance, so that you could know more about the running of the application. Improving Performance and Reliability with the JDBC Driver MS SQL Server JDBC driver (with statement caching) that we could try instead? (jDTS isn't an option since it's not compatible even with JDBC 4.0)įor improving application performance with the JDBC Driver, you could try some techniques by referring to the article below. To provide) a known issue? Or is mssql-jdbc slower overall for read queries than sqljdbc42 was? Are there any other tuning parameters for mssql-jdbc that we've missed? Can anyone suggest anything else we could try - for example, is there another unofficial We've also tried tuning all the obviousĪvailable cache tuning parameters for it: statementPoolingCacheSize, serverPreparedStatementDiscardThreshold, enablePrepareOnFirstPreparedStatementCall (and also useCursors) with very little effect.ĭoes anyone have any experience with the combination of mssql-jdbc 6.4 + Hikari CP, or ideally with mssql-jdbc 6.4 + Hibernate 5 + Hikari CP? Is poor prepared statement caching performance from mssql-jdbc 6.4 (in comparison what to Bone CP used We've confirmed that performance gets another 10% worse if we turn the mssql-jdbc 6.4 driver prepared statement caching off, so it's doing a little good (we also confirmed in the debugger that it's actually caching things). Thus we're investigating issuesĪround the switch from Bone CP 0.8.0 prepared statement caching on sqljdbc42 to mssql-jdbc 6.4 prepared statement caching. However, in the corresponding results for Oracle and MySQL with Hibernate 5.3 + Hikari + their JDBCĭrivers, we actually saw about a 5-15% performance improvement - so we're reasonably sure that this isn't due to Hibernate (and it can't be Hikari directly, since that's out of the picture once the connection is handed to us). Unfortunately as a result of this switchover we're seeing about average of a 20-30% slowdown for read query performance - which is unacceptable. To Hibernate 5.2 + Hikari CP 2.7.8 + mssql-jdbc 6.4.0.jre8

Microsoft jdbc driver 6.2 for sql server usage example full#

So the full change is from Hibernate 4.2 + Bone CP 0.8.0 + sqljdbc42. Version that provides prepared statement caching in the driver, and mssql-jdbc 6.4.0 (released in January 2018) is the first one with that. Unlike Bone CP, Hikari CP no longer provides prepared statement caching in the connection pool, so that now needs to be done in the JDBC driver, which for MS SQL Server means we need to move to a JDBC driver Since Bone CP only supports up to JDBC 4.1 (Java 7). Hibernate 5.2 requires JDBC 4.2 (Java 8), which requires us to switch to Hikari CP connection pool which is a branch from the (now deprecated) Bone CP we were previously using, We have been converting our server from using Hibernate 4.2 to Hibernate 5.2.