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When the database server uses PDQ to
perform a query in parallel, it puts a heavy load on the operating
system. In particular, PDQ exploits the
following resources:
- Memory
- CPU VPs
- Disk I/O (to
fragmented tables and temporary table space)
- Scan threads
When you configure the database server, consider how the use
of PDQ affects users of OLTP,
decision-support applications, and other applications.
You can control how the database server uses resources in the
following ways:
- Limit the priority of parallel database queries.
- Adjust the amount of memory.
- Limit the number of scan threads.
- Limit the number of concurrent queries.
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