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authorPeter Geoghegan <pg@bowt.ie>2020-07-29 14:14:58 -0700
committerPeter Geoghegan <pg@bowt.ie>2020-07-29 14:14:58 -0700
commitd6c08e29e7bc8bc3bf49764192c4a9c71fc0b097 (patch)
tree8d0d2cdb7d18504b50a49433f9181130f74186c4 /src/backend/optimizer/prep/prepunion.c
parent6023b7ea717ca04cf1bd53709d9c862db07eaefb (diff)
Add hash_mem_multiplier GUC.
Add a GUC that acts as a multiplier on work_mem. It gets applied when sizing executor node hash tables that were previously size constrained using work_mem alone. The new GUC can be used to preferentially give hash-based nodes more memory than the generic work_mem limit. It is intended to enable admin tuning of the executor's memory usage. Overall system throughput and system responsiveness can be improved by giving hash-based executor nodes more memory (especially over sort-based alternatives, which are often much less sensitive to being memory constrained). The default value for hash_mem_multiplier is 1.0, which is also the minimum valid value. This means that hash-based nodes continue to apply work_mem in the traditional way by default. hash_mem_multiplier is generally useful. However, it is being added now due to concerns about hash aggregate performance stability for users that upgrade to Postgres 13 (which added disk-based hash aggregation in commit 1f39bce0). While the old hash aggregate behavior risked out-of-memory errors, it is nevertheless likely that many users actually benefited. Hash agg's previous indifference to work_mem during query execution was not just faster; it also accidentally made aggregation resilient to grouping estimate problems (at least in cases where this didn't create destabilizing memory pressure). hash_mem_multiplier can provide a certain kind of continuity with the behavior of Postgres 12 hash aggregates in cases where the planner incorrectly estimates that all groups (plus related allocations) will fit in work_mem/hash_mem. This seems necessary because hash-based aggregation is usually much slower when only a small fraction of all groups can fit. Even when it isn't possible to totally avoid hash aggregates that spill, giving hash aggregation more memory will reliably improve performance (the same cannot be said for external sort operations, which appear to be almost unaffected by memory availability provided it's at least possible to get a single merge pass). The PostgreSQL 13 release notes should advise users that increasing hash_mem_multiplier can help with performance regressions associated with hash aggregation. That can be taken care of by a later commit. Author: Peter Geoghegan Reviewed-By: Álvaro Herrera, Jeff Davis Discussion: https://postgr.es/m/20200625203629.7m6yvut7eqblgmfo@alap3.anarazel.de Discussion: https://postgr.es/m/CAH2-WzmD%2Bi1pG6rc1%2BCjc4V6EaFJ_qSuKCCHVnH%3DoruqD-zqow%40mail.gmail.com Backpatch: 13-, where disk-based hash aggregation was introduced.
Diffstat (limited to 'src/backend/optimizer/prep/prepunion.c')
-rw-r--r--src/backend/optimizer/prep/prepunion.c9
1 files changed, 6 insertions, 3 deletions
diff --git a/src/backend/optimizer/prep/prepunion.c b/src/backend/optimizer/prep/prepunion.c
index 6588f83d5ec..2ebd4ea3320 100644
--- a/src/backend/optimizer/prep/prepunion.c
+++ b/src/backend/optimizer/prep/prepunion.c
@@ -1018,6 +1018,7 @@ choose_hashed_setop(PlannerInfo *root, List *groupClauses,
const char *construct)
{
int numGroupCols = list_length(groupClauses);
+ int hash_mem = get_hash_mem();
bool can_sort;
bool can_hash;
Size hashentrysize;
@@ -1049,15 +1050,17 @@ choose_hashed_setop(PlannerInfo *root, List *groupClauses,
/*
* Don't do it if it doesn't look like the hashtable will fit into
- * work_mem.
+ * hash_mem.
*/
hashentrysize = MAXALIGN(input_path->pathtarget->width) + MAXALIGN(SizeofMinimalTupleHeader);
- if (hashentrysize * dNumGroups > work_mem * 1024L)
+ if (hashentrysize * dNumGroups > hash_mem * 1024L)
return false;
/*
- * See if the estimated cost is no more than doing it the other way.
+ * See if the estimated cost is no more than doing it the other way. We
+ * deliberately give the hash case more memory when hash_mem exceeds
+ * standard work mem (i.e. when hash_mem_multiplier exceeds 1.0).
*
* We need to consider input_plan + hashagg versus input_plan + sort +
* group. Note that the actual result plan might involve a SetOp or