global temporary tables

For the next couple of weeks I'll be picking up various random notes I've made during the sessions that I've attended at OOW. This particular topic was also a problem discussed recently at one of my clients, so it's certainly worth to be published here.

In one of the optimizer related sessions it was mentioned that for highly volatile data - for example often found in Global Temporary Tables (GTT) - it's recommended to use Dynamic Sampling rather than attempting to gather statistics. In particular for GTTs gathering statistics is problematic because the statistics are used globally and shared across all sessions. But GTTs could have a completely different data volume and distribution per session so sharing the statistics doesn't make sense in such scenarios.

So using Dynamic Sampling sounds like a reasonable advice and it probably is in many such cases.

I am working on a Time & Labour system. We run the main T&L process in different modes. There is a company wide overnight batch process, but individual parts of the company can run the process for their section during the day to process exceptions and to generate schedules. This is done with a custom AE program that calls the delivered TL_TIMEADMIN.

Running on Oracle 10gR2, we have faced performance problems caused by contention between concurrent truncate operations in these processes (see Factors Affecting Performance of Concurrent Truncate of Working Storage Tables).

I am working on a Time & Labour system. We run the main T&L process in different modes. There is a company wide overnight batch process, but individual parts of the company can run the process for their section during the day to process exceptions and to generate schedules. This is done with a custom AE program that calls the delivered TL_TIMEADMIN.

Running on Oracle 10gR2, we have faced performance problems caused by contention between concurrent truncate operations in these processes (see Factors Affecting Performance of Concurrent Truncate of Working Storage Tables).