Design Performance into Your DB2 Java Transactions

DB2 Java performance is often a problem because the application processing is emulating the database which executes more efficiently or the processing is poorly designed. Either of these scenarios that my teams have found during performance or design reviews always led to extended I/O activities and excessive CPU usage.

Too often, when the application was designed, the full scope of the eventual implemented processing was unknown. The specifications or even the coding of the backbone processing began before everything was known or so many additional processing add-ons were bolted on the transaction that the original design no longer fits the transaction and it no longer performs well. When additional functions are added into the transaction scope many times, the additional data retrievals are not added into the existing SQL processing. Instead they are coded as additional stand-alone SQL calls. This leads to SQL statement after SQL statement being executed during the single transaction.

These add-on transaction functions typically add additional SQL to the transaction Unit-of-Work. This leads to the DB2 Java system transactions that seem to need hundreds or even thousands of SQL database calls to process their transaction from beginning to end. These large numbers of SQL calls usually touch a large number of tables, inspect the data and finally perform the transaction processing. This situation typically uses excess CPU and performs a large number of unneeded I/Os.

By not combining or enhancing the existing SQL to retrieve the additional data, the overall number of calls continues to expand and the database performance continues to suffer. The application design is needlessly neglected when these new requirements come along. When the changing requirements result in additional SQL calls with the application itself evaluating or combining new SQL data with an existing object data store, the result is more CPU usage and poor response time.

To avoid these types of situations understand all the data that is needed by your transaction. The application processing that combines or reevaluates data needs to be pushed back into the existing database SQL statements. DB2 does it much more efficiently. Retrieving additional data is bad for I/O, CPU, locking, and overall performance. So next time your transaction needs additional functionality don’t just add on, integrate your new functions into the existing SQL and designs of your application database processes.

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