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author | unknown <timour@askmonty.org> | 2012-05-30 00:18:53 +0300 |
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committer | unknown <timour@askmonty.org> | 2012-05-30 00:18:53 +0300 |
commit | 941018f8d10240e9ec457ea6ab984844c343f6b6 (patch) | |
tree | bd039c38d5d6cfa577e5f6dd53442371e4f3acf5 /mysql-test/r/subselect_mat_cost.result | |
parent | 4fa89b5fe05280fefa2b30df927d0db6c6888f98 (diff) | |
download | mariadb-git-941018f8d10240e9ec457ea6ab984844c343f6b6.tar.gz |
Patch for mdev-287: CHEAP SQ: A query with subquery in SELECT list, EXISTS, inner joins takes hundreds times longer
Analysis:
The fix for lp:944706 introduces early subquery optimization.
While a subquery is being optimized some of its predicates may be
removed. In the test case, the EXISTS subquery is constant, and is
evaluated to TRUE. As a result the whole OR is TRUE, and thus the
correlated condition "b = alias1.b" is optimized away. The subquery
becomes non-correlated.
The subquery cache is designed to work only for correlated subqueries.
If constant subquery optimization is disallowed, then the constant
subquery is not evaluated, the subquery remains correlated, and its
execution is cached. As a result execution is fast.
However, when the constant subquery was optimized away, it was neither
cached by the subquery cache, nor it was cached by the internal subquery
caching. The latter was due to the fact that the subquery still appeared
as correlated to the subselect_XYZ_engine::exec methods, and they
re-executed the subquery on each call to Item_subselect::exec.
Solution:
The solution is to update the correlated status of the subquery after it has
been optimized. This status consists of:
- st_select_lex::is_correlated
- Item_subselect::is_correlated
- SELECT_LEX::uncacheable
- SELECT_LEX_UNIT::uncacheable
The status is updated by st_select_lex::update_correlated_cache(), and its
caller st_select_lex::optimize_unflattened_subqueries. The solution relies
on the fact that the optimizer already called
st_select_lex::update_used_tables() for each subquery. This allows to
efficiently update the correlated status of each subquery without walking
the whole subquery tree.
Notice that his patch is an improvement over MySQL 5.6 and older, where
subqueries are not pre-optimized, and the above analysis is not possible.
Diffstat (limited to 'mysql-test/r/subselect_mat_cost.result')
-rw-r--r-- | mysql-test/r/subselect_mat_cost.result | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/mysql-test/r/subselect_mat_cost.result b/mysql-test/r/subselect_mat_cost.result index 893209a07fc..081196a227b 100644 --- a/mysql-test/r/subselect_mat_cost.result +++ b/mysql-test/r/subselect_mat_cost.result @@ -496,7 +496,7 @@ from City where City.population > 10000000; id select_type table type possible_keys key key_len ref rows Extra 1 PRIMARY City range Population Population 5 NULL 4 Using index condition; Rowid-ordered scan -2 DEPENDENT SUBQUERY Country index_subquery CountryCapital CountryCapital 5 func 2 Using index; Using where +2 SUBQUERY Country index_subquery CountryCapital CountryCapital 5 func 2 Using index; Using where select Name, City.id in (select capital from Country where capital is not null) as is_capital from City where City.population > 10000000; |