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Synthetic DB2 for z/OS Statistics

At the university of Jena in Germany we invented a concept called synthetic statistics and implemented a prototype for DB2 for z/OS, which is able to generate DB2 statistics on a synthetic way only based on abstract Performance Indicators (PIs).

PIs are information, that decribe the characteristics of data and can be specified by application architects / developers (e. g. within a data model). By using PIs and the concept of synthetic statistics for example it's possible to generate synthetic statistics in a very early design phase of a new database application (or new application moduls) and evaluate its performance based on execution plans without the need of possibly huge test data generation or costly data anonymisation to be able to build necessary real statistics. Addionally there is the opportunity to reverse engineer statistics to PIs, which can also be very usefull within development and review process.

Because of the positive feedback at IDUG we talked about the concept of synthetic statistics and possible integration capabilities into Optim Query Workload Tuner with Anson Kokkat (IBM), Jason Sizto (IBM) and Georg Kistenberger (IBM). To follow up this topic, we decided to open a RFE.
  • Avatar32.5fb70cce7410889e661286fd7f1897de Guest
  • Dec 31 2018
  • Will not implement
Idea Priority Medium
Customer Name DATEV
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  • Admin
    May Chu commented
    9 Oct 04:37pm
    Thank you for submitting this enhancement request. While we view all the enhancement requests we receive as valuable and we would like to implement all of them, in an effort to have maximum transparency we are closing the ones that don't currently appear on our two year product roadmap.

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