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Speed up planning when partitions can be pruned at plan time.
Previously, the planner created RangeTblEntry and RelOptInfo structs for every partition of a partitioned table, even though many of them might later be deemed uninteresting thanks to partition pruning logic. This incurred significant overhead when there are many partitions. Arrange to postpone creation of these data structures until after we've processed the query enough to identify restriction quals for the partitioned table, and then apply partition pruning before not after creation of each partition's data structures. In this way we need not open the partition relations at all for partitions that the planner has no real interest in. For queries that can be proven at plan time to access only a small number of partitions, this patch improves the practical maximum number of partitions from under 100 to perhaps a few thousand. Amit Langote, reviewed at various times by Dilip Kumar, Jesper Pedersen, Yoshikazu Imai, and David Rowley Discussion: https://postgr.es/m/9d7c5112-cb99-6a47-d3be-cf1ee6862a1d@lab.ntt.co.jp
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@ -144,7 +144,7 @@ SELECT c, sum(a) FROM pagg_tab WHERE 1 = 2 GROUP BY c;
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QUERY PLAN
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--------------------------------
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HashAggregate
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Group Key: pagg_tab.c
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Group Key: c
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-> Result
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One-Time Filter: false
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(4 rows)
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@ -159,7 +159,7 @@ SELECT c, sum(a) FROM pagg_tab WHERE c = 'x' GROUP BY c;
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QUERY PLAN
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--------------------------------
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GroupAggregate
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Group Key: pagg_tab.c
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Group Key: c
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-> Result
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One-Time Filter: false
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(4 rows)
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@ -2568,6 +2568,60 @@ table ab;
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1 | 3
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(1 row)
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-- Test UPDATE where source relation has run-time pruning enabled
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truncate ab;
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insert into ab values (1, 1), (1, 2), (1, 3), (2, 1);
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explain (analyze, costs off, summary off, timing off)
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update ab_a1 set b = 3 from ab_a2 where ab_a2.b = (select 1);
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QUERY PLAN
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----------------------------------------------------------------------
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Update on ab_a1 (actual rows=0 loops=1)
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Update on ab_a1_b1
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Update on ab_a1_b2
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Update on ab_a1_b3
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InitPlan 1 (returns $0)
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-> Result (actual rows=1 loops=1)
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-> Nested Loop (actual rows=1 loops=1)
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-> Seq Scan on ab_a1_b1 (actual rows=1 loops=1)
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-> Materialize (actual rows=1 loops=1)
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-> Append (actual rows=1 loops=1)
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-> Seq Scan on ab_a2_b1 (actual rows=1 loops=1)
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Filter: (b = $0)
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-> Seq Scan on ab_a2_b2 (never executed)
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Filter: (b = $0)
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-> Seq Scan on ab_a2_b3 (never executed)
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Filter: (b = $0)
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-> Nested Loop (actual rows=1 loops=1)
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-> Seq Scan on ab_a1_b2 (actual rows=1 loops=1)
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-> Materialize (actual rows=1 loops=1)
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-> Append (actual rows=1 loops=1)
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-> Seq Scan on ab_a2_b1 (actual rows=1 loops=1)
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Filter: (b = $0)
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-> Seq Scan on ab_a2_b2 (never executed)
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Filter: (b = $0)
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-> Seq Scan on ab_a2_b3 (never executed)
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Filter: (b = $0)
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-> Nested Loop (actual rows=1 loops=1)
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-> Seq Scan on ab_a1_b3 (actual rows=1 loops=1)
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-> Materialize (actual rows=1 loops=1)
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-> Append (actual rows=1 loops=1)
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-> Seq Scan on ab_a2_b1 (actual rows=1 loops=1)
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Filter: (b = $0)
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-> Seq Scan on ab_a2_b2 (never executed)
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Filter: (b = $0)
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-> Seq Scan on ab_a2_b3 (never executed)
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Filter: (b = $0)
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(36 rows)
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select tableoid::regclass, * from ab;
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tableoid | a | b
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----------+---+---
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ab_a1_b3 | 1 | 3
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ab_a1_b3 | 1 | 3
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ab_a1_b3 | 1 | 3
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ab_a2_b1 | 2 | 1
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(4 rows)
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drop table ab, lprt_a;
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-- Join
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create table tbl1(col1 int);
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@ -588,6 +588,13 @@ explain (analyze, costs off, summary off, timing off)
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update ab_a1 set b = 3 from ab where ab.a = 1 and ab.a = ab_a1.a;
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table ab;
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-- Test UPDATE where source relation has run-time pruning enabled
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truncate ab;
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insert into ab values (1, 1), (1, 2), (1, 3), (2, 1);
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explain (analyze, costs off, summary off, timing off)
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update ab_a1 set b = 3 from ab_a2 where ab_a2.b = (select 1);
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select tableoid::regclass, * from ab;
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drop table ab, lprt_a;
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-- Join
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