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authorMonty <monty@mariadb.org>2022-12-27 14:49:27 +0200
committerMonty <monty@mariadb.org>2023-02-10 12:58:50 +0200
commit3fa99f0c0e294297557e5edcc31d26d2430d4c3c (patch)
tree5f4408a40652cc6b2fbbffd952caf713000e1755 /mysql-test/main/subselect_mat_cost.result
parentb5df077e8555c2a43e5cae7bcb58310c25119ea7 (diff)
downloadmariadb-git-3fa99f0c0e294297557e5edcc31d26d2430d4c3c.tar.gz
Change cost for REF to take into account cost for 1 extra key read_next
The main difference in code path between EQ_REF and REF is that for REF we have to do an extra read_next on the index to check that there is no more matching rows. Before this patch we added a preference of EQ_REF by ensuring that REF would always estimate to find at least 2 rows. This patch adds the cost of the extra key read_next to REF access and removes the code that limited REF to at least 2 rows. For some queries this can have a big effect as the total estimated rows will be halved for each REF table with 1 rows. multi_range cost calculations are also changed to take into account the difference between EQ_REF and REF. The effect of the patch to the test suite: - About 80 test case changed - Almost all changes where for EXPLAIN where estimated rows for REF where changed from 2 to 1. - A few test cases using explain extended had a change of 'filtered'. This is because of the estimated rows are now closer to the calculated selectivity. - A very few test had a change of table order. This is because the change of estimated rows from 2 to 1 or the small cost change for REF (main.subselect_sj_jcl6, main.group_by, main.dervied_cond_pushdown, main.distinct, main.join_nested, main.order_by, main.join_cache) - No key statistics and the estimated rows are now smaller which cased estimated filtering to be lower. (main.subselect_sj_mat) - The number of total rows are halved. (main.derived_cond_pushdown) - Plans with 1 row changed to use RANGE instead of REF. (main.group_min_max) - ALL changed to REF (main.key_diff) - Key changed from ref + index_only to PRIMARY key for InnoDB, as OPTIMIZER_ROW_LOOKUP_COST + OPTIMIZER_ROW_NEXT_FIND_COST is smaller than OPTIMIZER_KEY_LOOKUP_COST + OPTIMIZER_KEY_NEXT_FIND_COST. (main.join_outer_innodb) - Cost changes printouts (main.opt_trace*) - Result order change (innodb_gis.rtree)
Diffstat (limited to 'mysql-test/main/subselect_mat_cost.result')
-rw-r--r--mysql-test/main/subselect_mat_cost.result4
1 files changed, 2 insertions, 2 deletions
diff --git a/mysql-test/main/subselect_mat_cost.result b/mysql-test/main/subselect_mat_cost.result
index 9bed355968a..240332f3c5b 100644
--- a/mysql-test/main/subselect_mat_cost.result
+++ b/mysql-test/main/subselect_mat_cost.result
@@ -510,7 +510,7 @@ id select_type table type possible_keys key key_len ref rows Extra
1 PRIMARY Country index PRIMARY PRIMARY 3 NULL 239 Using index; Using temporary; Using filesort
1 PRIMARY City ref Country Country 3 world.Country.Code 17
2 MATERIALIZED Country ALL Name NULL NULL NULL 239 Using where
-Last_query_cost 7.951232
+Last_query_cost 7.972882
EXPLAIN
SELECT City.Name, City.Population
FROM Country LEFT JOIN City ON City.Country = Country.Code
@@ -520,7 +520,7 @@ id select_type table type possible_keys key key_len ref rows Extra
1 PRIMARY Country index NULL PRIMARY 3 NULL 239 Using index; Using temporary; Using filesort
1 PRIMARY City ref Country Country 3 world.Country.Code 17
2 MATERIALIZED Country ALL Name NULL NULL NULL 239 Using where
-Last_query_cost 7.951232
+Last_query_cost 7.972882
SELECT City.Name, City.Population
FROM City JOIN Country ON City.Country = Country.Code
GROUP BY City.Name