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Adaptive Execution Plans

Profiling Execution Plans

In my previous blog post, I demonstrated how to identify the active lines in an adaptive execution plan on DBA_HIST_SQL_PLAN so that I could profile behaviour. This post demonstrates a practical application of that technique. This statement comes out of the PeopleSoft Financials Multi-currency Processing. A process extracts groups of rows in elimination sets into a working storage table and joins that table to the ledger table for further processing. The number of rows extracted from the elimination set selector table (PS_ELIM_CF_SEL2001 in this case) can vary in a single process from a few to a few thousand. However, the process does regather optimizer statistics each time.

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How to Identify Active Lines in an Adaptive Execution Plan in DBA_HIST_SQL_PLAN

When investigating performance problems I spend a lot of my time profiling ASH and AWR data. I sometimes want to join back to captured plans in DBA_HIST_SQL_PLAN to see how an object was access, or which index was used, or how many rows the optimizer thought it would get.
From Oracle 12c, we can get adaptive execution plans where the optimizer considers different plans at runtime. Mostly it is a choice between either a nested loop or a hash join of tables.
For example, in the below execution plan, DBMS_XPLAN includes a note to say that inactive plans with a dash.  Thus we can see that the nested loop lookup of PS_LEDGER using the PSCLEDGER index was rejected in favour of a Bloom filter on a full scan of the ledger table.