Time series routines that run in parallel
Some time series routines can run in parallel. Running in parallel is faster than running serially.
For time series routines to run in parallel, the following conditions are required:
- The table that contains the time series data is fragmented, by any fragmentation method.
- Parallel database queries are enabled: the PDQPRIORITY environment variable is set to a value other than OFF and the MAX_PDQPRIORITY configuration parameter is set to a value other than 0 or 1.
- The routine is referenced in the WHERE clause of a SELECT statement. Routines that are referenced in the Projection clause are not run in parallel.
- The routine must select data from a table that contains time series data or a time series system table. Routines that insert, update, or delete data do not run in parallel.
- The routine cannot call another routine that cannot run in parallel. If a routine that can run in parallel calls another routine that cannot run in parallel, neither routine runs in parallel.
- The routine cannot include a collection data type as an argument or return value. For example, if the Intersect function includes a parameter that has a SET data type, the function is not run in parallel.
The routines in the Related reference list can run in parallel.