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Spell "partitionwise" consistently. 

I'm not sure which spelling is better, "partitionwise" or "partition-wise",
but everywhere else we spell it "partitionwise", so be consistent.

Tatsuro Yamada reported the one in README, I found the other one with grep.

Discussion: https://www.postgresql.org/message-id/d25ebf36-5a6d-8b2c-1ff3-d6f022a56000@lab.ntt.co.jp
This commit is contained in:
Heikki Linnakangas 2018-08-09 10:41:28 +03:00
parent 661dd23950
commit 31380bc7c2
3 changed files with 4 additions and 4 deletions
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2
contrib/postgres_fdw/expected/postgres_fdw.out
View File

@ -8435,7 +8435,7 @@ SELECT t1.a,t1.b FROM fprt1 t1, LATERAL (SELECT t2.a, t2.b FROM fprt2 t2 WHERE t
400 | 400
(4 rows)
-- with PHVs, partition-wise join selected but no join pushdown
-- with PHVs, partitionwise join selected but no join pushdown
EXPLAIN (COSTS OFF)
SELECT t1.a, t1.phv, t2.b, t2.phv FROM (SELECT 't1_phv' phv, * FROM fprt1 WHERE a % 25 = 0) t1 FULL JOIN (SELECT 't2_phv' phv, * FROM fprt2 WHERE b % 25 = 0) t2 ON (t1.a = t2.b) ORDER BY t1.a, t2.b;
QUERY PLAN

2
contrib/postgres_fdw/sql/postgres_fdw.sql
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@ -2291,7 +2291,7 @@ EXPLAIN (COSTS OFF)
SELECT t1.a,t1.b FROM fprt1 t1, LATERAL (SELECT t2.a, t2.b FROM fprt2 t2 WHERE t1.a = t2.b AND t1.b = t2.a) q WHERE t1.a%25 = 0 ORDER BY 1,2;
SELECT t1.a,t1.b FROM fprt1 t1, LATERAL (SELECT t2.a, t2.b FROM fprt2 t2 WHERE t1.a = t2.b AND t1.b = t2.a) q WHERE t1.a%25 = 0 ORDER BY 1,2;
-- with PHVs, partition-wise join selected but no join pushdown
-- with PHVs, partitionwise join selected but no join pushdown
EXPLAIN (COSTS OFF)
SELECT t1.a, t1.phv, t2.b, t2.phv FROM (SELECT 't1_phv' phv, * FROM fprt1 WHERE a % 25 = 0) t1 FULL JOIN (SELECT 't2_phv' phv, * FROM fprt2 WHERE b % 25 = 0) t2 ON (t1.a = t2.b) ORDER BY t1.a, t2.b;
SELECT t1.a, t1.phv, t2.b, t2.phv FROM (SELECT 't1_phv' phv, * FROM fprt1 WHERE a % 25 = 0) t1 FULL JOIN (SELECT 't2_phv' phv, * FROM fprt2 WHERE b % 25 = 0) t2 ON (t1.a = t2.b) ORDER BY t1.a, t2.b;

4
src/backend/optimizer/README
View File

@ -1106,8 +1106,8 @@ PartitionSchemeData object. This reduces memory consumed by
PartitionSchemeData objects and makes it easy to compare the partition schemes
of joining relations.
Partition-wise aggregates/grouping
----------------------------------
Partitionwise aggregates/grouping
---------------------------------
If the GROUP BY clause has contains all of the partition keys, all the rows
that belong to a given group must come from a single partition; therefore,