On Mon, Jun 27, 2016 at 4:49 PM, Tom Lane <t...@sss.pgh.pa.us> wrote: > A few specific comments: > > * Can't we remove wholePlanParallelSafe altogether, in favor of just > examining best_path->parallel_safe in standard_planner? > > * In grouping_planner, I'm not exactly convinced that > final_rel->consider_parallel can just be copied up without any further > restrictions. Easiest counterexample is a parallel restricted function in > LIMIT. > > * Why have the try_parallel_path flag at all in create_grouping_paths, > rather than just setting or not setting grouped_rel->consider_parallel? > If your thinking is that this is dealing with implementation restrictions > that might not apply to paths added by an extension, then OK, but the > variable needs to have a less generic name. Maybe try_parallel_aggregation. > > * Copy/paste error in comment in create_distinct_paths: s/window/distinct/ > > * Not following what you did to apply_projection_to_path, and the comment > therein isn't helping.
Here is a new patch addressing (I hope) the above comments and a few other things. Unfortunately, it causes the by-now-familiar regression test failure in the aggregates test: *** /Users/rhaas/pgsql/src/test/regress/expected/aggregates.out 2016-06-29 20:04:03.000000000 -0400 --- /Users/rhaas/pgsql/src/test/regress/results/aggregates.out 2016-06-29 20:06:28.000000000 -0400 *************** *** 577,590 **** explain (costs off) select max(unique1) from tenk1 where unique1 > 42000; ! QUERY PLAN ! --------------------------------------------------------------------------- ! Result ! InitPlan 1 (returns $0) ! -> Limit ! -> Index Only Scan Backward using tenk1_unique1 on tenk1 ! Index Cond: ((unique1 IS NOT NULL) AND (unique1 > 42000)) ! (5 rows) select max(unique1) from tenk1 where unique1 > 42000; max --- 577,588 ---- explain (costs off) select max(unique1) from tenk1 where unique1 > 42000; ! QUERY PLAN ! ---------------------------------------------------- ! Aggregate ! -> Index Only Scan using tenk1_unique1 on tenk1 ! Index Cond: (unique1 > 42000) ! (3 rows) select max(unique1) from tenk1 where unique1 > 42000; max ====================================================================== The problem, of course, is that scanning tenk1_unique1 forward to find 0 rows at the end of the index and scanning it backward to find 0 rows at the end of the index cost almost exactly the same amount, which is probably a good thing when you stop to think about it. On my system, the expected plan costs 4.31 and the plan that actually shows up costs 4.32, so we end up picking the latter because, since it does not involve subqueries, it's parallel-safe. It's tempting to remove the test on the theory that there's actually little point in verifying which of two essentially-equivalent plans get chosen, but I think that's probably missing the point: the next test runs the same query without EXPLAIN, presumably to verify that the MinMaxAggPath approach gets the right *answer* when there are no matching rows, and in order for that test to mean anything, we need to first verify that we're actually getting the plan whose execution-time behavior we want to check. Unfortunately, I can't think of a clean way to make the "right" thing happen here. In general, it's right to prefer a parallel-safe plan over an ever-so-slightly more expensive plan that isn't, because that might let us join it to a partial path later on. However, if we're at the very top of the plan tree, that argument holds no force, so we could try to install some kind of exception for that case. That seems like it would be fairly invasive and fairly ugly, though. It seems like a better option would be to try to kludge the test case somehow so that the backward index scan looks at least 1% cheaper than the forward index scan, but I can't see how to do that. I don't see, for example, that changing any of the usual costing factors would help much. We could do something very specialized here, like adding a GUC that makes MinMaxAggPath always win, but that seems ugly, too. Suggestions? -- Robert Haas EnterpriseDB: http://www.enterprisedb.com The Enterprise PostgreSQL Company
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