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WHY: Improved one off query performance against large, 100,000,000+ row tables.
WHO: My customer has transaction log tables that can record millions of transactions per day. Peaking just above 58 million per month in the last 6 months. Maintaining indexes to satisfy infrequent query request would be a waste of storage and other system resources. Records are purged that are older than 12 months and re-use deleted records is employed.
HOW: For queries that require a table scan, generate query threads based on a physical page ranges as a percentage of the total table pages. Add a System Value for Table Scan Scale, with scale being the percentage of total table pages. Default set at 10%, generates 10 separate query threads, with the results consolidated before presentation to user. The lowest value being 5%, or a maximum of 20 threads scanning the table pages to satisfy the user’s query.
Idea priority | Low |
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With this technology, the query optimizer implements a query by running pieces of it in parallel. While the user can influence the degree of parallelism, the optimizer determines the actual implementation.
This feature is packaged as option 26 of the operating system and is available at no charge.
This IBM Documentation page describes many of the details.
https://www.ibm.com/docs/en/i/7.5?topic=tools-parallel-processing