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MDEV-30218: Incorrect optimization for rowid_filtering
(Patch from Monty, slightly amended) Fix rowid filtering optimization in best_access_path(): == Ref access + rowid filtering == The cost computations compare #records and index-only scan cost (keyread_tmp) to find out the per-record advantage one will get if they skip reading full table record. The computations produce wrong result when: - the #records are "clipped down" with s->worst_seeks or thd->variables.max_seeks_for_key. keyread_tmp is not clipped this way so the numbers are not comparable. - access_factor is negative. This means index_only read is cheaper than non-index-only read. This patch makes the optimizer not to consider Rowid Filtering in such cases. The decision is logged in the Optimizer Trace using "rowid_filter_skipped" name. == Range access + rowid filtering == when considering to use Rowid Filter with range access, do multiply keyread_tmp by record_count. That way, it is comparable with the range access's estimate, which is multiplied by record_count.
This commit is contained in:
Sergei Petrunia
@@ -853,7 +853,7 @@ LENGTH(Language) < LENGTH(City.Name) - 2;
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id select_type table type possible_keys key key_len ref rows Extra
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1 SIMPLE City ALL Country NULL NULL NULL 4079 Using where
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1 SIMPLE Country hash_ALL PRIMARY #hash#PRIMARY 3 world.City.Country 239 Using where; Using join buffer (flat, BNLH join)
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1 SIMPLE CountryLanguage hash_ALL PRIMARY,Percentage #hash#PRIMARY 3 world.City.Country 984 Using where; Using join buffer (flat, BNLH join)
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1 SIMPLE CountryLanguage hash_ALL|filter PRIMARY,Percentage #hash#PRIMARY|Percentage 3|4 world.City.Country 984 (19%) Using where; Using join buffer (flat, BNLH join); Using rowid filter
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SELECT City.Name, Country.Name, CountryLanguage.Language
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FROM City,Country,CountryLanguage
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WHERE City.Country=Country.Code AND
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@@ -1053,7 +1053,7 @@ LENGTH(Language) < LENGTH(City.Name) - 2;
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id select_type table type possible_keys key key_len ref rows Extra
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1 SIMPLE City ALL Country NULL NULL NULL 4079 Using where
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1 SIMPLE Country hash_ALL PRIMARY #hash#PRIMARY 3 world.City.Country 239 Using where; Using join buffer (flat, BNLH join)
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1 SIMPLE CountryLanguage hash_ALL PRIMARY,Percentage #hash#PRIMARY 3 world.City.Country 984 Using where; Using join buffer (incremental, BNLH join)
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1 SIMPLE CountryLanguage hash_ALL|filter PRIMARY,Percentage #hash#PRIMARY|Percentage 3|4 world.City.Country 984 (19%) Using where; Using join buffer (incremental, BNLH join); Using rowid filter
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SELECT City.Name, Country.Name, CountryLanguage.Language
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FROM City,Country,CountryLanguage
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WHERE City.Country=Country.Code AND
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@@ -1312,7 +1312,7 @@ LENGTH(Language) < LENGTH(City.Name) - 2;
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id select_type table type possible_keys key key_len ref rows Extra
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1 SIMPLE City ALL Country NULL NULL NULL 4079 Using where
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1 SIMPLE Country eq_ref PRIMARY PRIMARY 3 world.City.Country 1 Using where; Using join buffer (flat, BKA join); Key-ordered Rowid-ordered scan
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1 SIMPLE CountryLanguage ref PRIMARY,Percentage PRIMARY 3 world.City.Country 4 Using index condition(BKA); Using where; Using join buffer (flat, BKA join); Key-ordered Rowid-ordered scan
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1 SIMPLE CountryLanguage ref|filter PRIMARY,Percentage PRIMARY|Percentage 3|4 world.City.Country 4 (19%) Using index condition(BKA); Using where; Using join buffer (flat, BKA join); Key-ordered Rowid-ordered scan; Using rowid filter
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SELECT City.Name, Country.Name, CountryLanguage.Language
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FROM City,Country,CountryLanguage
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WHERE City.Country=Country.Code AND
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@@ -1509,7 +1509,7 @@ LENGTH(Language) < LENGTH(City.Name) - 2;
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id select_type table type possible_keys key key_len ref rows Extra
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1 SIMPLE City ALL Country NULL NULL NULL 4079 Using where
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1 SIMPLE Country eq_ref PRIMARY PRIMARY 3 world.City.Country 1 Using where; Using join buffer (flat, BKA join); Key-ordered Rowid-ordered scan
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1 SIMPLE CountryLanguage ref PRIMARY,Percentage PRIMARY 3 world.City.Country 4 Using index condition(BKA); Using where; Using join buffer (incremental, BKA join); Key-ordered Rowid-ordered scan
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1 SIMPLE CountryLanguage ref|filter PRIMARY,Percentage PRIMARY|Percentage 3|4 world.City.Country 4 (19%) Using index condition(BKA); Using where; Using join buffer (incremental, BKA join); Key-ordered Rowid-ordered scan; Using rowid filter
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SELECT City.Name, Country.Name, CountryLanguage.Language
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FROM City,Country,CountryLanguage
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WHERE City.Country=Country.Code AND
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@@ -1706,7 +1706,7 @@ LENGTH(Language) < LENGTH(City.Name) - 2;
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id select_type table type possible_keys key key_len ref rows Extra
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1 SIMPLE City ALL Country NULL NULL NULL 4079 Using where
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1 SIMPLE Country eq_ref PRIMARY PRIMARY 3 world.City.Country 1 Using where; Using join buffer (flat, BKAH join); Key-ordered Rowid-ordered scan
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1 SIMPLE CountryLanguage ref PRIMARY,Percentage PRIMARY 3 world.City.Country 4 Using index condition(BKA); Using where; Using join buffer (flat, BKAH join); Key-ordered Rowid-ordered scan
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1 SIMPLE CountryLanguage ref|filter PRIMARY,Percentage PRIMARY|Percentage 3|4 world.City.Country 4 (19%) Using index condition(BKA); Using where; Using join buffer (flat, BKAH join); Key-ordered Rowid-ordered scan; Using rowid filter
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SELECT City.Name, Country.Name, CountryLanguage.Language
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FROM City,Country,CountryLanguage
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WHERE City.Country=Country.Code AND
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@@ -1903,7 +1903,7 @@ LENGTH(Language) < LENGTH(City.Name) - 2;
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id select_type table type possible_keys key key_len ref rows Extra
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1 SIMPLE City ALL Country NULL NULL NULL 4079 Using where
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1 SIMPLE Country eq_ref PRIMARY PRIMARY 3 world.City.Country 1 Using where; Using join buffer (flat, BKAH join); Key-ordered Rowid-ordered scan
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1 SIMPLE CountryLanguage ref PRIMARY,Percentage PRIMARY 3 world.City.Country 4 Using index condition(BKA); Using where; Using join buffer (incremental, BKAH join); Key-ordered Rowid-ordered scan
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1 SIMPLE CountryLanguage ref|filter PRIMARY,Percentage PRIMARY|Percentage 3|4 world.City.Country 4 (19%) Using index condition(BKA); Using where; Using join buffer (incremental, BKAH join); Key-ordered Rowid-ordered scan; Using rowid filter
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SELECT City.Name, Country.Name, CountryLanguage.Language
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FROM City,Country,CountryLanguage
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WHERE City.Country=Country.Code AND
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@@ -2104,7 +2104,7 @@ LENGTH(Language) < LENGTH(City.Name) - 2;
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id select_type table type possible_keys key key_len ref rows Extra
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1 SIMPLE City ALL Country NULL NULL NULL 4079 Using where
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1 SIMPLE Country hash_ALL PRIMARY #hash#PRIMARY 3 world.City.Country 239 Using where; Using join buffer (flat, BNLH join)
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1 SIMPLE CountryLanguage hash_ALL PRIMARY,Percentage #hash#PRIMARY 3 world.City.Country 984 Using where; Using join buffer (flat, BNLH join)
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1 SIMPLE CountryLanguage hash_ALL|filter PRIMARY,Percentage #hash#PRIMARY|Percentage 3|4 world.City.Country 984 (19%) Using where; Using join buffer (flat, BNLH join); Using rowid filter
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SELECT City.Name, Country.Name, CountryLanguage.Language
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FROM City,Country,CountryLanguage
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WHERE City.Country=Country.Code AND
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@@ -2208,7 +2208,7 @@ LENGTH(Language) < LENGTH(City.Name) - 2;
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id select_type table type possible_keys key key_len ref rows Extra
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1 SIMPLE City ALL Country NULL NULL NULL 4079 Using where
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1 SIMPLE Country hash_ALL PRIMARY #hash#PRIMARY 3 world.City.Country 239 Using where; Using join buffer (flat, BNLH join)
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1 SIMPLE CountryLanguage hash_ALL PRIMARY,Percentage #hash#PRIMARY 3 world.City.Country 984 Using where; Using join buffer (incremental, BNLH join)
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1 SIMPLE CountryLanguage hash_ALL|filter PRIMARY,Percentage #hash#PRIMARY|Percentage 3|4 world.City.Country 984 (19%) Using where; Using join buffer (incremental, BNLH join); Using rowid filter
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SELECT City.Name, Country.Name, CountryLanguage.Language
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FROM City,Country,CountryLanguage
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WHERE City.Country=Country.Code AND
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@@ -2312,7 +2312,7 @@ LENGTH(Language) < LENGTH(City.Name) - 2;
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id select_type table type possible_keys key key_len ref rows Extra
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1 SIMPLE City ALL Country NULL NULL NULL 4079 Using where
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1 SIMPLE Country eq_ref PRIMARY PRIMARY 3 world.City.Country 1 Using where; Using join buffer (flat, BKA join); Key-ordered Rowid-ordered scan
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1 SIMPLE CountryLanguage ref PRIMARY,Percentage PRIMARY 3 world.City.Country 4 Using index condition(BKA); Using where; Using join buffer (flat, BKA join); Key-ordered Rowid-ordered scan
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1 SIMPLE CountryLanguage ref|filter PRIMARY,Percentage PRIMARY|Percentage 3|4 world.City.Country 4 (19%) Using index condition(BKA); Using where; Using join buffer (flat, BKA join); Key-ordered Rowid-ordered scan; Using rowid filter
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SELECT City.Name, Country.Name, CountryLanguage.Language
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FROM City,Country,CountryLanguage
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WHERE City.Country=Country.Code AND
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@@ -2416,7 +2416,7 @@ LENGTH(Language) < LENGTH(City.Name) - 2;
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id select_type table type possible_keys key key_len ref rows Extra
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1 SIMPLE City ALL Country NULL NULL NULL 4079 Using where
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1 SIMPLE Country eq_ref PRIMARY PRIMARY 3 world.City.Country 1 Using where; Using join buffer (flat, BKA join); Key-ordered Rowid-ordered scan
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1 SIMPLE CountryLanguage ref PRIMARY,Percentage PRIMARY 3 world.City.Country 4 Using index condition(BKA); Using where; Using join buffer (incremental, BKA join); Key-ordered Rowid-ordered scan
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1 SIMPLE CountryLanguage ref|filter PRIMARY,Percentage PRIMARY|Percentage 3|4 world.City.Country 4 (19%) Using index condition(BKA); Using where; Using join buffer (incremental, BKA join); Key-ordered Rowid-ordered scan; Using rowid filter
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SELECT City.Name, Country.Name, CountryLanguage.Language
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FROM City,Country,CountryLanguage
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WHERE City.Country=Country.Code AND
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@@ -2520,7 +2520,7 @@ LENGTH(Language) < LENGTH(City.Name) - 2;
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id select_type table type possible_keys key key_len ref rows Extra
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1 SIMPLE City ALL Country NULL NULL NULL 4079 Using where
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1 SIMPLE Country eq_ref PRIMARY PRIMARY 3 world.City.Country 1 Using where; Using join buffer (flat, BKAH join); Key-ordered Rowid-ordered scan
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1 SIMPLE CountryLanguage ref PRIMARY,Percentage PRIMARY 3 world.City.Country 4 Using index condition(BKA); Using where; Using join buffer (flat, BKAH join); Key-ordered Rowid-ordered scan
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1 SIMPLE CountryLanguage ref|filter PRIMARY,Percentage PRIMARY|Percentage 3|4 world.City.Country 4 (19%) Using index condition(BKA); Using where; Using join buffer (flat, BKAH join); Key-ordered Rowid-ordered scan; Using rowid filter
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SELECT City.Name, Country.Name, CountryLanguage.Language
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FROM City,Country,CountryLanguage
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WHERE City.Country=Country.Code AND
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@@ -2624,7 +2624,7 @@ LENGTH(Language) < LENGTH(City.Name) - 2;
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id select_type table type possible_keys key key_len ref rows Extra
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1 SIMPLE City ALL Country NULL NULL NULL 4079 Using where
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1 SIMPLE Country eq_ref PRIMARY PRIMARY 3 world.City.Country 1 Using where; Using join buffer (flat, BKAH join); Key-ordered Rowid-ordered scan
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1 SIMPLE CountryLanguage ref PRIMARY,Percentage PRIMARY 3 world.City.Country 4 Using index condition(BKA); Using where; Using join buffer (incremental, BKAH join); Key-ordered Rowid-ordered scan
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1 SIMPLE CountryLanguage ref|filter PRIMARY,Percentage PRIMARY|Percentage 3|4 world.City.Country 4 (19%) Using index condition(BKA); Using where; Using join buffer (incremental, BKAH join); Key-ordered Rowid-ordered scan; Using rowid filter
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SELECT City.Name, Country.Name, CountryLanguage.Language
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FROM City,Country,CountryLanguage
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WHERE City.Country=Country.Code AND
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@@ -1016,6 +1016,7 @@ explain select * from t1,t2 where t1.a=t2.b+2 and t2.a= t1.b {
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"index": "a",
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"used_range_estimates": false,
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"cause": "not available",
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"rowid_filter_skipped": "cost_factor <= 0",
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"rows": 1,
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"cost": 200,
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"chosen": true
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@@ -1072,6 +1073,7 @@ explain select * from t1,t2 where t1.a=t2.b+2 and t2.a= t1.b {
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"index": "a",
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"used_range_estimates": false,
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"cause": "not available",
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"rowid_filter_skipped": "cost_factor <= 0",
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"rows": 1,
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"cost": 200,
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"chosen": true
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@@ -2118,6 +2120,7 @@ explain select * from t1 where a=1 and b=2 order by c limit 1 {
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"access_type": "ref",
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"index": "a_c",
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"used_range_estimates": true,
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"rowid_filter_skipped": "worst/max seeks clipping",
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"rows": 180,
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"cost": 92,
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"chosen": true
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@@ -3343,6 +3346,7 @@ explain select * from t1 where pk = 2 and a=5 and b=1 {
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"access_type": "ref",
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"index": "pk",
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"used_range_estimates": true,
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"rowid_filter_skipped": "cost_factor <= 0",
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"rows": 1,
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"cost": 2,
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"chosen": true
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@@ -3351,6 +3355,7 @@ explain select * from t1 where pk = 2 and a=5 and b=1 {
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"access_type": "ref",
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"index": "pk_a",
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"used_range_estimates": true,
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"rowid_filter_skipped": "cost_factor <= 0",
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"rows": 1,
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"cost": 2,
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"chosen": false,
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@@ -3360,6 +3365,7 @@ explain select * from t1 where pk = 2 and a=5 and b=1 {
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"access_type": "ref",
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"index": "pk_a_b",
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"used_range_estimates": true,
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"rowid_filter_skipped": "cost_factor <= 0",
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"rows": 1,
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"cost": 1.0043,
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"chosen": true
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@@ -3994,6 +4000,7 @@ explain delete t0,t1 from t0, t1 where t0.a=t1.a and t1.a<3 {
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"index": "a",
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"used_range_estimates": false,
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"cause": "not better than ref estimates",
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"rowid_filter_skipped": "cost_factor <= 0",
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"rows": 1,
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"cost": 3.007,
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"chosen": true
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@@ -4049,6 +4056,7 @@ explain delete t0,t1 from t0, t1 where t0.a=t1.a and t1.a<3 {
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"index": "a",
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"used_range_estimates": false,
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"cause": "not better than ref estimates",
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"rowid_filter_skipped": "worst/max seeks clipping",
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"rows": 2,
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"cost": 3.014,
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"chosen": true
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@@ -8145,6 +8153,7 @@ JSON_DETAILED(JSON_EXTRACT(trace, '$**.considered_execution_plans'))
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"index": "b",
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"used_range_estimates": false,
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"cause": "not available",
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"rowid_filter_skipped": "cost_factor <= 0",
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"rows": 1,
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"cost": 20,
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"chosen": true
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@@ -8370,6 +8379,7 @@ JSON_DETAILED(JSON_EXTRACT(trace, '$**.considered_execution_plans'))
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"index": "a",
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"used_range_estimates": false,
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"cause": "not available",
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"rowid_filter_skipped": "cost_factor <= 0",
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"rows": 1,
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"cost": 20,
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"chosen": true
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@@ -8445,6 +8455,7 @@ JSON_DETAILED(JSON_EXTRACT(trace, '$**.considered_execution_plans'))
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"index": "a",
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"used_range_estimates": false,
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"cause": "not available",
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"rowid_filter_skipped": "cost_factor <= 0",
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"rows": 1,
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"cost": 200,
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"chosen": true
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@@ -208,6 +208,7 @@ explain select * from t1 where pk1 != 0 and key1 = 1 {
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"access_type": "ref",
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"index": "key1",
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"used_range_estimates": true,
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"rowid_filter_skipped": "cost_factor <= 0",
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"rows": 1,
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"cost": 2,
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"chosen": true
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@@ -281,7 +281,7 @@ INSERT INTO t1 VALUES
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(33,5),(33,5),(33,5),(33,5),(34,5),(35,5);
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EXPLAIN SELECT * FROM t1 WHERE a IN(1,2) AND b=5;
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id select_type table type possible_keys key key_len ref rows Extra
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1 SIMPLE t1 ref|filter a,b b|a 5|5 const 15 (5%) Using where; Using rowid filter
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1 SIMPLE t1 range a,b a 5 NULL 2 Using index condition; Using where
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SELECT * FROM t1 WHERE a IN(1,2) AND b=5;
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a b
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DROP TABLE t1;
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@@ -336,7 +336,7 @@ WHERE l_shipdate BETWEEN '1997-01-01' AND '1997-01-31' AND
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o_totalprice between 200000 and 230000;
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id select_type table type possible_keys key key_len ref rows Extra
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1 SIMPLE lineitem range PRIMARY,i_l_shipdate,i_l_orderkey,i_l_orderkey_quantity i_l_shipdate 4 NULL 98 Using index condition
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1 SIMPLE orders eq_ref|filter PRIMARY,i_o_totalprice PRIMARY|i_o_totalprice 4|9 dbt3_s001.lineitem.l_orderkey 1 (5%) Using where; Using rowid filter
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1 SIMPLE orders eq_ref PRIMARY,i_o_totalprice PRIMARY 4 dbt3_s001.lineitem.l_orderkey 1 Using where
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set statement optimizer_switch='rowid_filter=on' for EXPLAIN FORMAT=JSON SELECT o_orderkey, l_linenumber, l_shipdate, o_totalprice
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FROM orders JOIN lineitem ON o_orderkey=l_orderkey
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WHERE l_shipdate BETWEEN '1997-01-01' AND '1997-01-31' AND
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@@ -369,14 +369,6 @@ EXPLAIN
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"key_length": "4",
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"used_key_parts": ["o_orderkey"],
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"ref": ["dbt3_s001.lineitem.l_orderkey"],
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"rowid_filter": {
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"range": {
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"key": "i_o_totalprice",
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"used_key_parts": ["o_totalprice"]
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},
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"rows": 69,
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"selectivity_pct": 4.6
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},
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"rows": 1,
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"filtered": 4.6,
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"attached_condition": "orders.o_totalprice between 200000 and 230000"
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@@ -389,7 +381,7 @@ WHERE l_shipdate BETWEEN '1997-01-01' AND '1997-01-31' AND
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o_totalprice between 200000 and 230000;
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id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra
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1 SIMPLE lineitem range PRIMARY,i_l_shipdate,i_l_orderkey,i_l_orderkey_quantity i_l_shipdate 4 NULL 98 98.00 100.00 100.00 Using index condition
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1 SIMPLE orders eq_ref|filter PRIMARY,i_o_totalprice PRIMARY|i_o_totalprice 4|9 dbt3_s001.lineitem.l_orderkey 1 (5%) 0.11 (10%) 4.60 100.00 Using where; Using rowid filter
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1 SIMPLE orders eq_ref PRIMARY,i_o_totalprice PRIMARY 4 dbt3_s001.lineitem.l_orderkey 1 1.00 4.60 11.22 Using where
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set statement optimizer_switch='rowid_filter=on' for ANALYZE FORMAT=JSON SELECT o_orderkey, l_linenumber, l_shipdate, o_totalprice
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FROM orders JOIN lineitem ON o_orderkey=l_orderkey
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WHERE l_shipdate BETWEEN '1997-01-01' AND '1997-01-31' AND
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@@ -428,25 +420,12 @@ ANALYZE
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"key_length": "4",
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"used_key_parts": ["o_orderkey"],
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"ref": ["dbt3_s001.lineitem.l_orderkey"],
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"rowid_filter": {
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"range": {
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"key": "i_o_totalprice",
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"used_key_parts": ["o_totalprice"]
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},
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"rows": 69,
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"selectivity_pct": 4.6,
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"r_rows": 71,
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"r_lookups": 96,
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"r_selectivity_pct": 10.417,
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"r_buffer_size": "REPLACED",
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"r_filling_time_ms": "REPLACED"
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},
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"r_loops": 98,
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"rows": 1,
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"r_rows": 0.1122,
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"r_rows": 1,
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"r_total_time_ms": "REPLACED",
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"filtered": 4.6,
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"r_filtered": 100,
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"r_filtered": 11.224,
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"attached_condition": "orders.o_totalprice between 200000 and 230000"
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}
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}
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@@ -590,7 +569,7 @@ l_quantity > 45 AND
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o_totalprice between 180000 and 230000;
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id select_type table type possible_keys key key_len ref rows Extra
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1 SIMPLE lineitem range|filter PRIMARY,i_l_shipdate,i_l_orderkey,i_l_orderkey_quantity,i_l_quantity i_l_shipdate|i_l_quantity 4|9 NULL 509 (12%) Using index condition; Using where; Using rowid filter
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1 SIMPLE orders eq_ref|filter PRIMARY,i_o_totalprice PRIMARY|i_o_totalprice 4|9 dbt3_s001.lineitem.l_orderkey 1 (9%) Using where; Using rowid filter
|
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1 SIMPLE orders eq_ref PRIMARY,i_o_totalprice PRIMARY 4 dbt3_s001.lineitem.l_orderkey 1 Using where
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set statement optimizer_switch='rowid_filter=on' for EXPLAIN FORMAT=JSON SELECT o_orderkey, l_linenumber, l_shipdate, l_quantity, o_totalprice
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FROM orders JOIN lineitem ON o_orderkey=l_orderkey
|
||||
WHERE l_shipdate BETWEEN '1997-01-01' AND '1997-06-30' AND
|
||||
@@ -634,14 +613,6 @@ EXPLAIN
|
||||
"key_length": "4",
|
||||
"used_key_parts": ["o_orderkey"],
|
||||
"ref": ["dbt3_s001.lineitem.l_orderkey"],
|
||||
"rowid_filter": {
|
||||
"range": {
|
||||
"key": "i_o_totalprice",
|
||||
"used_key_parts": ["o_totalprice"]
|
||||
},
|
||||
"rows": 139,
|
||||
"selectivity_pct": 9.2667
|
||||
},
|
||||
"rows": 1,
|
||||
"filtered": 9.2667,
|
||||
"attached_condition": "orders.o_totalprice between 180000 and 230000"
|
||||
@@ -655,7 +626,7 @@ l_quantity > 45 AND
|
||||
o_totalprice between 180000 and 230000;
|
||||
id select_type table type possible_keys key key_len ref rows r_rows filtered r_filtered Extra
|
||||
1 SIMPLE lineitem range|filter PRIMARY,i_l_shipdate,i_l_orderkey,i_l_orderkey_quantity,i_l_quantity i_l_shipdate|i_l_quantity 4|9 NULL 509 (12%) 60.00 (11%) 11.69 100.00 Using index condition; Using where; Using rowid filter
|
||||
1 SIMPLE orders eq_ref|filter PRIMARY,i_o_totalprice PRIMARY|i_o_totalprice 4|9 dbt3_s001.lineitem.l_orderkey 1 (9%) 0.27 (25%) 9.27 100.00 Using where; Using rowid filter
|
||||
1 SIMPLE orders eq_ref PRIMARY,i_o_totalprice PRIMARY 4 dbt3_s001.lineitem.l_orderkey 1 1.00 9.27 26.67 Using where
|
||||
set statement optimizer_switch='rowid_filter=on' for ANALYZE FORMAT=JSON SELECT o_orderkey, l_linenumber, l_shipdate, l_quantity, o_totalprice
|
||||
FROM orders JOIN lineitem ON o_orderkey=l_orderkey
|
||||
WHERE l_shipdate BETWEEN '1997-01-01' AND '1997-06-30' AND
|
||||
@@ -710,25 +681,12 @@ ANALYZE
|
||||
"key_length": "4",
|
||||
"used_key_parts": ["o_orderkey"],
|
||||
"ref": ["dbt3_s001.lineitem.l_orderkey"],
|
||||
"rowid_filter": {
|
||||
"range": {
|
||||
"key": "i_o_totalprice",
|
||||
"used_key_parts": ["o_totalprice"]
|
||||
},
|
||||
"rows": 139,
|
||||
"selectivity_pct": 9.2667,
|
||||
"r_rows": 144,
|
||||
"r_lookups": 59,
|
||||
"r_selectivity_pct": 25.424,
|
||||
"r_buffer_size": "REPLACED",
|
||||
"r_filling_time_ms": "REPLACED"
|
||||
},
|
||||
"r_loops": 60,
|
||||
"rows": 1,
|
||||
"r_rows": 0.2667,
|
||||
"r_rows": 1,
|
||||
"r_total_time_ms": "REPLACED",
|
||||
"filtered": 9.2667,
|
||||
"r_filtered": 100,
|
||||
"r_filtered": 26.667,
|
||||
"attached_condition": "orders.o_totalprice between 180000 and 230000"
|
||||
}
|
||||
}
|
||||
@@ -2072,7 +2030,7 @@ EXPLAIN EXTENDED SELECT * FROM t1 INNER JOIN t2 ON ( pk1+1 = pk2+2 AND a1 = a2 )
|
||||
WHERE b1 <= ( SELECT MAX(b2) FROM t2 WHERE pk2 <= 1 );
|
||||
id select_type table type possible_keys key key_len ref rows filtered Extra
|
||||
1 PRIMARY t2 ALL NULL NULL NULL NULL 101 100.00 Using where
|
||||
1 PRIMARY t1 ref|filter a1,b1 a1|b1 5|4 test.t2.a2 36 (29%) 28.75 Using where; Using rowid filter
|
||||
1 PRIMARY t1 ref a1,b1 a1 5 test.t2.a2 36 28.75 Using where
|
||||
2 SUBQUERY t2 range PRIMARY PRIMARY 4 NULL 1 100.00 Using index condition
|
||||
Warnings:
|
||||
Note 1003 /* select#1 */ select `test`.`t1`.`pk1` AS `pk1`,`test`.`t1`.`a1` AS `a1`,`test`.`t1`.`b1` AS `b1`,`test`.`t2`.`pk2` AS `pk2`,`test`.`t2`.`a2` AS `a2`,`test`.`t2`.`b2` AS `b2` from `test`.`t1` join `test`.`t2` where `test`.`t1`.`a1` = `test`.`t2`.`a2` and `test`.`t1`.`b1` <= (/* select#2 */ select max(`test`.`t2`.`b2`) from `test`.`t2` where `test`.`t2`.`pk2` <= 1) and `test`.`t1`.`pk1` + 1 = `test`.`t2`.`pk2` + 2
|
||||
@@ -2097,14 +2055,6 @@ EXPLAIN
|
||||
"key_length": "5",
|
||||
"used_key_parts": ["a1"],
|
||||
"ref": ["test.t2.a2"],
|
||||
"rowid_filter": {
|
||||
"range": {
|
||||
"key": "b1",
|
||||
"used_key_parts": ["b1"]
|
||||
},
|
||||
"rows": 115,
|
||||
"selectivity_pct": 28.75
|
||||
},
|
||||
"rows": 36,
|
||||
"filtered": 28.75,
|
||||
"attached_condition": "t1.b1 <= (subquery#2) and t1.pk1 + 1 = t2.pk2 + 2"
|
||||
@@ -2187,7 +2137,7 @@ test.t1 analyze status OK
|
||||
explain
|
||||
SELECT * FROM t1 WHERE a > 0 AND b=0;
|
||||
id select_type table type possible_keys key key_len ref rows Extra
|
||||
1 SIMPLE t1 ref|filter a,b b|a 5|5 const 151 (17%) Using where; Using rowid filter
|
||||
1 SIMPLE t1 ref a,b b 5 const 151 Using where
|
||||
SELECT * FROM t1 WHERE a > 0 AND b=0;
|
||||
a b
|
||||
1 0
|
||||
@@ -2522,32 +2472,19 @@ ANALYZE
|
||||
"r_total_time_ms": "REPLACED",
|
||||
"table": {
|
||||
"table_name": "t1",
|
||||
"access_type": "ref",
|
||||
"access_type": "range",
|
||||
"possible_keys": ["idx1", "idx2"],
|
||||
"key": "idx2",
|
||||
"key_length": "5",
|
||||
"used_key_parts": ["fl2"],
|
||||
"ref": ["const"],
|
||||
"rowid_filter": {
|
||||
"range": {
|
||||
"key": "idx1",
|
||||
"used_key_parts": ["nm"]
|
||||
},
|
||||
"rows": 44,
|
||||
"selectivity_pct": 0.44,
|
||||
"r_rows": 44,
|
||||
"r_lookups": 1000,
|
||||
"r_selectivity_pct": 0,
|
||||
"r_buffer_size": "REPLACED",
|
||||
"r_filling_time_ms": "REPLACED"
|
||||
},
|
||||
"key": "idx1",
|
||||
"key_length": "35",
|
||||
"used_key_parts": ["nm"],
|
||||
"r_loops": 1,
|
||||
"rows": 921,
|
||||
"r_rows": 0,
|
||||
"rows": 44,
|
||||
"r_rows": 44,
|
||||
"r_total_time_ms": "REPLACED",
|
||||
"filtered": 0.44,
|
||||
"r_filtered": 100,
|
||||
"attached_condition": "t1.nm like '3400%' or t1.nm like '3402%' or t1.nm like '3403%' or t1.nm like '3404%' or t1.nm like '3405%' or t1.nm like '3406%' or t1.nm like '3407%' or t1.nm like '3409%' or t1.nm like '3411%' or t1.nm like '3412%' or t1.nm like '3413%' or t1.nm like '3414%' or t1.nm like '3415%' or t1.nm like '3416%' or t1.nm like '3417%' or t1.nm like '3418%' or t1.nm like '3419%' or t1.nm like '3421%' or t1.nm like '3422%' or t1.nm like '3423%' or t1.nm like '3424%' or t1.nm like '3425%' or t1.nm like '3426%' or t1.nm like '3427%' or t1.nm like '3428%' or t1.nm like '3429%' or t1.nm like '3430%' or t1.nm like '3431%' or t1.nm like '3432%' or t1.nm like '3433%' or t1.nm like '3434%' or t1.nm like '3435%' or t1.nm like '3436%' or t1.nm like '3437%' or t1.nm like '3439%' or t1.nm like '3440%' or t1.nm like '3441%' or t1.nm like '3442%' or t1.nm like '3443%' or t1.nm like '3444%' or t1.nm like '3445%' or t1.nm like '3446%' or t1.nm like '3447%' or t1.nm like '3448%'"
|
||||
"filtered": 9.21,
|
||||
"r_filtered": 0,
|
||||
"index_condition": "t1.nm like '3400%' or t1.nm like '3402%' or t1.nm like '3403%' or t1.nm like '3404%' or t1.nm like '3405%' or t1.nm like '3406%' or t1.nm like '3407%' or t1.nm like '3409%' or t1.nm like '3411%' or t1.nm like '3412%' or t1.nm like '3413%' or t1.nm like '3414%' or t1.nm like '3415%' or t1.nm like '3416%' or t1.nm like '3417%' or t1.nm like '3418%' or t1.nm like '3419%' or t1.nm like '3421%' or t1.nm like '3422%' or t1.nm like '3423%' or t1.nm like '3424%' or t1.nm like '3425%' or t1.nm like '3426%' or t1.nm like '3427%' or t1.nm like '3428%' or t1.nm like '3429%' or t1.nm like '3430%' or t1.nm like '3431%' or t1.nm like '3432%' or t1.nm like '3433%' or t1.nm like '3434%' or t1.nm like '3435%' or t1.nm like '3436%' or t1.nm like '3437%' or t1.nm like '3439%' or t1.nm like '3440%' or t1.nm like '3441%' or t1.nm like '3442%' or t1.nm like '3443%' or t1.nm like '3444%' or t1.nm like '3445%' or t1.nm like '3446%' or t1.nm like '3447%' or t1.nm like '3448%'",
|
||||
"attached_condition": "t1.fl2 = 0"
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -2580,31 +2517,19 @@ ANALYZE
|
||||
"r_total_time_ms": "REPLACED",
|
||||
"table": {
|
||||
"table_name": "t1",
|
||||
"access_type": "ref",
|
||||
"access_type": "range",
|
||||
"possible_keys": ["idx1", "idx2"],
|
||||
"key": "idx2",
|
||||
"key_length": "5",
|
||||
"used_key_parts": ["fl2"],
|
||||
"ref": ["const"],
|
||||
"rowid_filter": {
|
||||
"range": {
|
||||
"key": "idx1",
|
||||
"used_key_parts": ["nm"]
|
||||
},
|
||||
"rows": 44,
|
||||
"selectivity_pct": 0.44,
|
||||
"r_rows": 0,
|
||||
"r_lookups": 0,
|
||||
"r_selectivity_pct": 0,
|
||||
"r_buffer_size": "REPLACED",
|
||||
"r_filling_time_ms": "REPLACED"
|
||||
},
|
||||
"key": "idx1",
|
||||
"key_length": "35",
|
||||
"used_key_parts": ["nm"],
|
||||
"r_loops": 1,
|
||||
"rows": 911,
|
||||
"rows": 44,
|
||||
"r_rows": 0,
|
||||
"filtered": 0.44,
|
||||
"r_total_time_ms": "REPLACED",
|
||||
"filtered": 9.11,
|
||||
"r_filtered": 100,
|
||||
"attached_condition": "t1.nm like '3400%' or t1.nm like '3402%' or t1.nm like '3403%' or t1.nm like '3404%' or t1.nm like '3405%' or t1.nm like '3406%' or t1.nm like '3407%' or t1.nm like '3409%' or t1.nm like '3411%' or t1.nm like '3412%' or t1.nm like '3413%' or t1.nm like '3414%' or t1.nm like '3415%' or t1.nm like '3416%' or t1.nm like '3417%' or t1.nm like '3418%' or t1.nm like '3419%' or t1.nm like '3421%' or t1.nm like '3422%' or t1.nm like '3423%' or t1.nm like '3424%' or t1.nm like '3425%' or t1.nm like '3426%' or t1.nm like '3427%' or t1.nm like '3428%' or t1.nm like '3429%' or t1.nm like '3430%' or t1.nm like '3431%' or t1.nm like '3432%' or t1.nm like '3433%' or t1.nm like '3434%' or t1.nm like '3435%' or t1.nm like '3436%' or t1.nm like '3437%' or t1.nm like '3439%' or t1.nm like '3440%' or t1.nm like '3441%' or t1.nm like '3442%' or t1.nm like '3443%' or t1.nm like '3444%' or t1.nm like '3445%' or t1.nm like '3446%' or t1.nm like '3447%' or t1.nm like '3448%'"
|
||||
"index_condition": "t1.nm like '3400%' or t1.nm like '3402%' or t1.nm like '3403%' or t1.nm like '3404%' or t1.nm like '3405%' or t1.nm like '3406%' or t1.nm like '3407%' or t1.nm like '3409%' or t1.nm like '3411%' or t1.nm like '3412%' or t1.nm like '3413%' or t1.nm like '3414%' or t1.nm like '3415%' or t1.nm like '3416%' or t1.nm like '3417%' or t1.nm like '3418%' or t1.nm like '3419%' or t1.nm like '3421%' or t1.nm like '3422%' or t1.nm like '3423%' or t1.nm like '3424%' or t1.nm like '3425%' or t1.nm like '3426%' or t1.nm like '3427%' or t1.nm like '3428%' or t1.nm like '3429%' or t1.nm like '3430%' or t1.nm like '3431%' or t1.nm like '3432%' or t1.nm like '3433%' or t1.nm like '3434%' or t1.nm like '3435%' or t1.nm like '3436%' or t1.nm like '3437%' or t1.nm like '3439%' or t1.nm like '3440%' or t1.nm like '3441%' or t1.nm like '3442%' or t1.nm like '3443%' or t1.nm like '3444%' or t1.nm like '3445%' or t1.nm like '3446%' or t1.nm like '3447%' or t1.nm like '3448%'",
|
||||
"attached_condition": "t1.fl2 = 0"
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1997,7 +1997,7 @@ EXPLAIN EXTENDED SELECT * FROM t1 INNER JOIN t2 ON ( pk1+1 = pk2+2 AND a1 = a2 )
|
||||
WHERE b1 <= ( SELECT MAX(b2) FROM t2 WHERE pk2 <= 1 );
|
||||
id select_type table type possible_keys key key_len ref rows filtered Extra
|
||||
1 PRIMARY t2 ALL NULL NULL NULL NULL 101 100.00 Using where
|
||||
1 PRIMARY t1 ref|filter a1,b1 a1|b1 5|4 test.t2.a2 36 (29%) 28.75 Using where; Using rowid filter
|
||||
1 PRIMARY t1 ref a1,b1 a1 5 test.t2.a2 36 28.75 Using where
|
||||
2 SUBQUERY t2 range PRIMARY PRIMARY 4 NULL 1 100.00 Using index condition
|
||||
Warnings:
|
||||
Note 1003 /* select#1 */ select `test`.`t1`.`pk1` AS `pk1`,`test`.`t1`.`a1` AS `a1`,`test`.`t1`.`b1` AS `b1`,`test`.`t2`.`pk2` AS `pk2`,`test`.`t2`.`a2` AS `a2`,`test`.`t2`.`b2` AS `b2` from `test`.`t1` join `test`.`t2` where `test`.`t1`.`a1` = `test`.`t2`.`a2` and `test`.`t1`.`b1` <= (/* select#2 */ select max(`test`.`t2`.`b2`) from `test`.`t2` where `test`.`t2`.`pk2` <= 1) and `test`.`t1`.`pk1` + 1 = `test`.`t2`.`pk2` + 2
|
||||
@@ -2022,14 +2022,6 @@ EXPLAIN
|
||||
"key_length": "5",
|
||||
"used_key_parts": ["a1"],
|
||||
"ref": ["test.t2.a2"],
|
||||
"rowid_filter": {
|
||||
"range": {
|
||||
"key": "b1",
|
||||
"used_key_parts": ["b1"]
|
||||
},
|
||||
"rows": 115,
|
||||
"selectivity_pct": 28.75
|
||||
},
|
||||
"rows": 36,
|
||||
"filtered": 28.75,
|
||||
"attached_condition": "t1.b1 <= (subquery#2) and t1.pk1 + 1 = t2.pk2 + 2"
|
||||
@@ -2112,7 +2104,7 @@ test.t1 analyze status OK
|
||||
explain
|
||||
SELECT * FROM t1 WHERE a > 0 AND b=0;
|
||||
id select_type table type possible_keys key key_len ref rows Extra
|
||||
1 SIMPLE t1 ref|filter a,b b|a 5|5 const 128 (14%) Using where; Using rowid filter
|
||||
1 SIMPLE t1 ref a,b b 5 const 128 Using where
|
||||
SELECT * FROM t1 WHERE a > 0 AND b=0;
|
||||
a b
|
||||
1 0
|
||||
@@ -2447,32 +2439,19 @@ ANALYZE
|
||||
"r_total_time_ms": "REPLACED",
|
||||
"table": {
|
||||
"table_name": "t1",
|
||||
"access_type": "ref",
|
||||
"access_type": "range",
|
||||
"possible_keys": ["idx1", "idx2"],
|
||||
"key": "idx2",
|
||||
"key_length": "5",
|
||||
"used_key_parts": ["fl2"],
|
||||
"ref": ["const"],
|
||||
"rowid_filter": {
|
||||
"range": {
|
||||
"key": "idx1",
|
||||
"used_key_parts": ["nm"]
|
||||
},
|
||||
"rows": 44,
|
||||
"selectivity_pct": 0.44,
|
||||
"r_rows": 44,
|
||||
"r_lookups": 1000,
|
||||
"r_selectivity_pct": 0,
|
||||
"r_buffer_size": "REPLACED",
|
||||
"r_filling_time_ms": "REPLACED"
|
||||
},
|
||||
"key": "idx1",
|
||||
"key_length": "35",
|
||||
"used_key_parts": ["nm"],
|
||||
"r_loops": 1,
|
||||
"rows": 921,
|
||||
"r_rows": 0,
|
||||
"rows": 44,
|
||||
"r_rows": 44,
|
||||
"r_total_time_ms": "REPLACED",
|
||||
"filtered": 0.44,
|
||||
"r_filtered": 100,
|
||||
"attached_condition": "t1.nm like '3400%' or t1.nm like '3402%' or t1.nm like '3403%' or t1.nm like '3404%' or t1.nm like '3405%' or t1.nm like '3406%' or t1.nm like '3407%' or t1.nm like '3409%' or t1.nm like '3411%' or t1.nm like '3412%' or t1.nm like '3413%' or t1.nm like '3414%' or t1.nm like '3415%' or t1.nm like '3416%' or t1.nm like '3417%' or t1.nm like '3418%' or t1.nm like '3419%' or t1.nm like '3421%' or t1.nm like '3422%' or t1.nm like '3423%' or t1.nm like '3424%' or t1.nm like '3425%' or t1.nm like '3426%' or t1.nm like '3427%' or t1.nm like '3428%' or t1.nm like '3429%' or t1.nm like '3430%' or t1.nm like '3431%' or t1.nm like '3432%' or t1.nm like '3433%' or t1.nm like '3434%' or t1.nm like '3435%' or t1.nm like '3436%' or t1.nm like '3437%' or t1.nm like '3439%' or t1.nm like '3440%' or t1.nm like '3441%' or t1.nm like '3442%' or t1.nm like '3443%' or t1.nm like '3444%' or t1.nm like '3445%' or t1.nm like '3446%' or t1.nm like '3447%' or t1.nm like '3448%'"
|
||||
"filtered": 9.21,
|
||||
"r_filtered": 0,
|
||||
"index_condition": "t1.nm like '3400%' or t1.nm like '3402%' or t1.nm like '3403%' or t1.nm like '3404%' or t1.nm like '3405%' or t1.nm like '3406%' or t1.nm like '3407%' or t1.nm like '3409%' or t1.nm like '3411%' or t1.nm like '3412%' or t1.nm like '3413%' or t1.nm like '3414%' or t1.nm like '3415%' or t1.nm like '3416%' or t1.nm like '3417%' or t1.nm like '3418%' or t1.nm like '3419%' or t1.nm like '3421%' or t1.nm like '3422%' or t1.nm like '3423%' or t1.nm like '3424%' or t1.nm like '3425%' or t1.nm like '3426%' or t1.nm like '3427%' or t1.nm like '3428%' or t1.nm like '3429%' or t1.nm like '3430%' or t1.nm like '3431%' or t1.nm like '3432%' or t1.nm like '3433%' or t1.nm like '3434%' or t1.nm like '3435%' or t1.nm like '3436%' or t1.nm like '3437%' or t1.nm like '3439%' or t1.nm like '3440%' or t1.nm like '3441%' or t1.nm like '3442%' or t1.nm like '3443%' or t1.nm like '3444%' or t1.nm like '3445%' or t1.nm like '3446%' or t1.nm like '3447%' or t1.nm like '3448%'",
|
||||
"attached_condition": "t1.fl2 = 0"
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -2505,31 +2484,19 @@ ANALYZE
|
||||
"r_total_time_ms": "REPLACED",
|
||||
"table": {
|
||||
"table_name": "t1",
|
||||
"access_type": "ref",
|
||||
"access_type": "range",
|
||||
"possible_keys": ["idx1", "idx2"],
|
||||
"key": "idx2",
|
||||
"key_length": "5",
|
||||
"used_key_parts": ["fl2"],
|
||||
"ref": ["const"],
|
||||
"rowid_filter": {
|
||||
"range": {
|
||||
"key": "idx1",
|
||||
"used_key_parts": ["nm"]
|
||||
},
|
||||
"rows": 44,
|
||||
"selectivity_pct": 0.44,
|
||||
"r_rows": 0,
|
||||
"r_lookups": 0,
|
||||
"r_selectivity_pct": 0,
|
||||
"r_buffer_size": "REPLACED",
|
||||
"r_filling_time_ms": "REPLACED"
|
||||
},
|
||||
"key": "idx1",
|
||||
"key_length": "35",
|
||||
"used_key_parts": ["nm"],
|
||||
"r_loops": 1,
|
||||
"rows": 911,
|
||||
"rows": 44,
|
||||
"r_rows": 0,
|
||||
"filtered": 0.44,
|
||||
"r_total_time_ms": "REPLACED",
|
||||
"filtered": 9.11,
|
||||
"r_filtered": 100,
|
||||
"attached_condition": "t1.nm like '3400%' or t1.nm like '3402%' or t1.nm like '3403%' or t1.nm like '3404%' or t1.nm like '3405%' or t1.nm like '3406%' or t1.nm like '3407%' or t1.nm like '3409%' or t1.nm like '3411%' or t1.nm like '3412%' or t1.nm like '3413%' or t1.nm like '3414%' or t1.nm like '3415%' or t1.nm like '3416%' or t1.nm like '3417%' or t1.nm like '3418%' or t1.nm like '3419%' or t1.nm like '3421%' or t1.nm like '3422%' or t1.nm like '3423%' or t1.nm like '3424%' or t1.nm like '3425%' or t1.nm like '3426%' or t1.nm like '3427%' or t1.nm like '3428%' or t1.nm like '3429%' or t1.nm like '3430%' or t1.nm like '3431%' or t1.nm like '3432%' or t1.nm like '3433%' or t1.nm like '3434%' or t1.nm like '3435%' or t1.nm like '3436%' or t1.nm like '3437%' or t1.nm like '3439%' or t1.nm like '3440%' or t1.nm like '3441%' or t1.nm like '3442%' or t1.nm like '3443%' or t1.nm like '3444%' or t1.nm like '3445%' or t1.nm like '3446%' or t1.nm like '3447%' or t1.nm like '3448%'"
|
||||
"index_condition": "t1.nm like '3400%' or t1.nm like '3402%' or t1.nm like '3403%' or t1.nm like '3404%' or t1.nm like '3405%' or t1.nm like '3406%' or t1.nm like '3407%' or t1.nm like '3409%' or t1.nm like '3411%' or t1.nm like '3412%' or t1.nm like '3413%' or t1.nm like '3414%' or t1.nm like '3415%' or t1.nm like '3416%' or t1.nm like '3417%' or t1.nm like '3418%' or t1.nm like '3419%' or t1.nm like '3421%' or t1.nm like '3422%' or t1.nm like '3423%' or t1.nm like '3424%' or t1.nm like '3425%' or t1.nm like '3426%' or t1.nm like '3427%' or t1.nm like '3428%' or t1.nm like '3429%' or t1.nm like '3430%' or t1.nm like '3431%' or t1.nm like '3432%' or t1.nm like '3433%' or t1.nm like '3434%' or t1.nm like '3435%' or t1.nm like '3436%' or t1.nm like '3437%' or t1.nm like '3439%' or t1.nm like '3440%' or t1.nm like '3441%' or t1.nm like '3442%' or t1.nm like '3443%' or t1.nm like '3444%' or t1.nm like '3445%' or t1.nm like '3446%' or t1.nm like '3447%' or t1.nm like '3448%'",
|
||||
"attached_condition": "t1.fl2 = 0"
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -2704,7 +2671,7 @@ count(*)
|
||||
5
|
||||
explain extended select count(*) from t1 where a between 21 and 30 and b=2;
|
||||
id select_type table type possible_keys key key_len ref rows filtered Extra
|
||||
1 SIMPLE t1 ref|filter b,a b|a 5|5 const 24 (10%) 9.60 Using where; Using rowid filter
|
||||
1 SIMPLE t1 ref b,a b 5 const 24 9.60 Using where
|
||||
Warnings:
|
||||
Note 1003 select count(0) AS `count(*)` from `test`.`t1` where `test`.`t1`.`b` = 2 and `test`.`t1`.`a` between 21 and 30
|
||||
select * from t1 where a between 21 and 30 and b=2;
|
||||
@@ -3166,7 +3133,7 @@ WHERE 1 = 1 AND domain = 'www.mailhost.i-dev.fr' AND
|
||||
timestamp >= DATE_ADD('2017-01-30 08:24:51', INTERVAL -1 MONTH)
|
||||
ORDER BY timestamp DESC;
|
||||
id select_type table type possible_keys key key_len ref rows filtered Extra
|
||||
1 SIMPLE t1 ref|filter ixEventWhoisDomainDomain,ixEventWhoisDomainTimestamp ixEventWhoisDomainDomain|ixEventWhoisDomainTimestamp 98|4 const 40 (33%) 33.33 Using index condition; Using where; Using filesort; Using rowid filter
|
||||
1 SIMPLE t1 ref ixEventWhoisDomainDomain,ixEventWhoisDomainTimestamp ixEventWhoisDomainDomain 98 const 40 33.33 Using index condition; Using where; Using filesort
|
||||
Warnings:
|
||||
Note 1003 select `test`.`t1`.`id` AS `id`,`test`.`t1`.`domain` AS `domain`,`test`.`t1`.`registrant_name` AS `registrant_name`,`test`.`t1`.`registrant_organization` AS `registrant_organization`,`test`.`t1`.`registrant_street1` AS `registrant_street1`,`test`.`t1`.`registrant_street2` AS `registrant_street2`,`test`.`t1`.`registrant_street3` AS `registrant_street3`,`test`.`t1`.`registrant_street4` AS `registrant_street4`,`test`.`t1`.`registrant_street5` AS `registrant_street5`,`test`.`t1`.`registrant_city` AS `registrant_city`,`test`.`t1`.`registrant_postal_code` AS `registrant_postal_code`,`test`.`t1`.`registrant_country` AS `registrant_country`,`test`.`t1`.`registrant_email` AS `registrant_email`,`test`.`t1`.`registrant_telephone` AS `registrant_telephone`,`test`.`t1`.`administrative_name` AS `administrative_name`,`test`.`t1`.`administrative_organization` AS `administrative_organization`,`test`.`t1`.`administrative_street1` AS `administrative_street1`,`test`.`t1`.`administrative_street2` AS `administrative_street2`,`test`.`t1`.`administrative_street3` AS `administrative_street3`,`test`.`t1`.`administrative_street4` AS `administrative_street4`,`test`.`t1`.`administrative_street5` AS `administrative_street5`,`test`.`t1`.`administrative_city` AS `administrative_city`,`test`.`t1`.`administrative_postal_code` AS `administrative_postal_code`,`test`.`t1`.`administrative_country` AS `administrative_country`,`test`.`t1`.`administrative_email` AS `administrative_email`,`test`.`t1`.`administrative_telephone` AS `administrative_telephone`,`test`.`t1`.`technical_name` AS `technical_name`,`test`.`t1`.`technical_organization` AS `technical_organization`,`test`.`t1`.`technical_street1` AS `technical_street1`,`test`.`t1`.`technical_street2` AS `technical_street2`,`test`.`t1`.`technical_street3` AS `technical_street3`,`test`.`t1`.`technical_street4` AS `technical_street4`,`test`.`t1`.`technical_street5` AS `technical_street5`,`test`.`t1`.`technical_city` AS `technical_city`,`test`.`t1`.`technical_postal_code` AS `technical_postal_code`,`test`.`t1`.`technical_country` AS `technical_country`,`test`.`t1`.`technical_email` AS `technical_email`,`test`.`t1`.`technical_telephone` AS `technical_telephone`,`test`.`t1`.`json` AS `json`,`test`.`t1`.`timestamp` AS `timestamp` from `test`.`t1` where `test`.`t1`.`domain` = 'www.mailhost.i-dev.fr' and `test`.`t1`.`timestamp` >= <cache>('2017-01-30 08:24:51' + interval -1 month) order by `test`.`t1`.`timestamp` desc
|
||||
SET optimizer_switch=@save_optimizer_switch;
|
||||
@@ -3415,7 +3382,7 @@ fi.fh in (6311439873746261694,-397087483897438286,
|
||||
id select_type table type possible_keys key key_len ref rows filtered Extra
|
||||
1 SIMPLE t index_merge PRIMARY,acli_rid,acli_tp acli_tp,acli_rid 2,767 NULL 2 100.00 Using intersect(acli_tp,acli_rid); Using where; Using index
|
||||
1 SIMPLE a ref PRIMARY,acei_aclid acei_aclid 8 test.t.id 1 100.00 Using where
|
||||
1 SIMPLE fi ref|filter filt_aceid,filt_fh filt_aceid|filt_fh 8|8 test.a.id 24 (14%) 14.46 Using where; Using rowid filter
|
||||
1 SIMPLE fi ref filt_aceid,filt_fh filt_aceid 8 test.a.id 24 14.46 Using where
|
||||
Warnings:
|
||||
Note 1003 select `test`.`t`.`id` AS `id`,`test`.`fi`.`id` AS `id`,`test`.`fi`.`aceid` AS `aceid`,`test`.`fi`.`clid` AS `clid`,`test`.`fi`.`fh` AS `fh` from `test`.`acli` `t` join `test`.`acei` `a` join `test`.`filt` `fi` where `test`.`t`.`tp` = 121 and `test`.`a`.`atp` = 1 and `test`.`fi`.`aceid` = `test`.`a`.`id` and `test`.`a`.`aclid` = `test`.`t`.`id` and `test`.`t`.`rid` = 'B5FCC8C7111E4E3CBC21AAF5012F59C2' and `test`.`fi`.`fh` in (6311439873746261694,-397087483897438286,8518228073041491534,-5420422472375069774)
|
||||
set statement optimizer_switch='rowid_filter=on' for select t.id, fi.*
|
||||
@@ -3531,7 +3498,7 @@ fi.fh in (6311439873746261694,-397087483897438286,
|
||||
id select_type table type possible_keys key key_len ref rows filtered Extra
|
||||
1 SIMPLE t index_merge PRIMARY,acli_rid,acli_tp acli_tp,acli_rid 2,767 NULL 2 100.00 Using intersect(acli_tp,acli_rid); Using where; Using index
|
||||
1 SIMPLE a ref PRIMARY,acei_aclid acei_aclid 8 test.t.id 1 100.00 Using where; Using join buffer (flat, BKA join); Rowid-ordered scan
|
||||
1 SIMPLE fi ref|filter filt_aceid,filt_fh filt_aceid|filt_fh 8|8 test.a.id 24 (14%) 14.46 Using where; Using join buffer (incremental, BKA join); Rowid-ordered scan; Using rowid filter
|
||||
1 SIMPLE fi ref filt_aceid,filt_fh filt_aceid 8 test.a.id 24 14.46 Using where; Using join buffer (incremental, BKA join); Rowid-ordered scan
|
||||
Warnings:
|
||||
Note 1003 select `test`.`t`.`id` AS `id`,`test`.`fi`.`id` AS `id`,`test`.`fi`.`aceid` AS `aceid`,`test`.`fi`.`clid` AS `clid`,`test`.`fi`.`fh` AS `fh` from `test`.`acli` `t` join `test`.`acei` `a` join `test`.`filt` `fi` where `test`.`t`.`tp` = 121 and `test`.`a`.`atp` = 1 and `test`.`fi`.`aceid` = `test`.`a`.`id` and `test`.`a`.`aclid` = `test`.`t`.`id` and `test`.`t`.`rid` = 'B5FCC8C7111E4E3CBC21AAF5012F59C2' and `test`.`fi`.`fh` in (6311439873746261694,-397087483897438286,8518228073041491534,-5420422472375069774)
|
||||
set statement optimizer_switch='rowid_filter=on' for select t.id, fi.*
|
||||
@@ -3649,22 +3616,9 @@ ANALYZE
|
||||
"key_length": "8",
|
||||
"used_key_parts": ["aceid"],
|
||||
"ref": ["test.a.id"],
|
||||
"rowid_filter": {
|
||||
"range": {
|
||||
"key": "filt_fh",
|
||||
"used_key_parts": ["fh"]
|
||||
},
|
||||
"rows": 81,
|
||||
"selectivity_pct": 14.464,
|
||||
"r_rows": 80,
|
||||
"r_lookups": 80,
|
||||
"r_selectivity_pct": 40,
|
||||
"r_buffer_size": "REPLACED",
|
||||
"r_filling_time_ms": "REPLACED"
|
||||
},
|
||||
"r_loops": 1,
|
||||
"rows": 24,
|
||||
"r_rows": 32,
|
||||
"r_rows": 80,
|
||||
"r_total_time_ms": "REPLACED",
|
||||
"filtered": 14.464,
|
||||
"r_filtered": 100
|
||||
@@ -3674,7 +3628,7 @@ ANALYZE
|
||||
"join_type": "BKA",
|
||||
"mrr_type": "Rowid-ordered scan",
|
||||
"attached_condition": "fi.fh in (6311439873746261694,-397087483897438286,8518228073041491534,-5420422472375069774)",
|
||||
"r_filtered": 100
|
||||
"r_filtered": 40
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -3778,7 +3732,7 @@ WHERE t1.c1 NOT IN (SELECT t2.c1 FROM t2, t1 AS a1
|
||||
WHERE t2.i1 = t1.pk AND t2.i1 BETWEEN 3 AND 5);
|
||||
id select_type table type possible_keys key key_len ref rows filtered Extra
|
||||
1 PRIMARY t1 ALL NULL NULL NULL NULL 60 100.00 Using where
|
||||
2 DEPENDENT SUBQUERY t2 ref|filter c1,i1 c1|i1 3|5 func 38 (25%) 25.00 Using where; Full scan on NULL key; Using rowid filter
|
||||
2 DEPENDENT SUBQUERY t2 ref c1,i1 i1 5 test.t1.pk 20 100.00 Using index condition; Using where
|
||||
2 DEPENDENT SUBQUERY a1 ALL NULL NULL NULL NULL 60 100.00 Using join buffer (flat, BNL join)
|
||||
Warnings:
|
||||
Note 1276 Field or reference 'test.t1.pk' of SELECT #2 was resolved in SELECT #1
|
||||
|
||||
@@ -48,39 +48,3 @@ ERROR 70100: Query execution was interrupted
|
||||
set debug_sync='RESET';
|
||||
drop table t2,t3;
|
||||
set default_storage_engine=default;
|
||||
set @save_optimizer_switch= @@optimizer_switch;
|
||||
set @save_use_stat_tables= @@use_stat_tables;
|
||||
set @save_optimizer_use_condition_selectivity= @@optimizer_use_condition_selectivity;
|
||||
set @@use_stat_tables=preferably;
|
||||
set optimizer_use_condition_selectivity=2;
|
||||
set optimizer_switch='rowid_filter=on';
|
||||
#
|
||||
# MDEV-22761 KILL QUERY during rowid_filter, crashes
|
||||
# (The smaller testcase)
|
||||
#
|
||||
CREATE TABLE t1 (a INT, b INT, INDEX(a), INDEX(b)) ENGINE=InnoDB;
|
||||
INSERT INTO t1 VALUES (0,0),(1,0),(-1,1), (-2,1), (-2,3), (-3,4), (-2,4);
|
||||
INSERT INTO t1 SELECT * FROM t1;
|
||||
INSERT INTO t1 SELECT * FROM t1;
|
||||
INSERT INTO t1 SELECT * FROM t1;
|
||||
INSERT INTO t1 SELECT * FROM t1;
|
||||
INSERT INTO t1 SELECT * FROM t1;
|
||||
INSERT INTO t1 SELECT * FROM t1;
|
||||
ANALYZE TABLE t1 PERSISTENT FOR ALL;
|
||||
Table Op Msg_type Msg_text
|
||||
test.t1 analyze status Engine-independent statistics collected
|
||||
test.t1 analyze status OK
|
||||
set debug_sync='handler_rowid_filter_check SIGNAL killme WAIT_FOR go';
|
||||
SELECT * FROM t1 WHERE a > 0 AND b=0;
|
||||
connect con1, localhost, root,,;
|
||||
set debug_sync='now WAIT_FOR killme';
|
||||
kill query @id;
|
||||
set debug_sync='now SIGNAL go';
|
||||
connection default;
|
||||
ERROR 70100: Query execution was interrupted
|
||||
set debug_sync='RESET';
|
||||
disconnect con1;
|
||||
drop table t1;
|
||||
set @@optimizer_use_condition_selectivity=@save_optimizer_use_condition_selectivity;
|
||||
set @@optimizer_switch=@save_optimizer_switch;
|
||||
set @@use_stat_tables=@save_use_stat_tables;
|
||||
|
||||
@@ -5,55 +5,3 @@ set default_storage_engine=innodb;
|
||||
--source include/rowid_filter_debug_kill.inc
|
||||
set default_storage_engine=default;
|
||||
|
||||
--source include/default_optimizer_switch.inc
|
||||
--source include/count_sessions.inc
|
||||
|
||||
set @save_optimizer_switch= @@optimizer_switch;
|
||||
set @save_use_stat_tables= @@use_stat_tables;
|
||||
set @save_optimizer_use_condition_selectivity= @@optimizer_use_condition_selectivity;
|
||||
|
||||
set @@use_stat_tables=preferably;
|
||||
|
||||
set optimizer_use_condition_selectivity=2;
|
||||
set optimizer_switch='rowid_filter=on';
|
||||
|
||||
--echo #
|
||||
--echo # MDEV-22761 KILL QUERY during rowid_filter, crashes
|
||||
--echo # (The smaller testcase)
|
||||
--echo #
|
||||
|
||||
CREATE TABLE t1 (a INT, b INT, INDEX(a), INDEX(b)) ENGINE=InnoDB;
|
||||
INSERT INTO t1 VALUES (0,0),(1,0),(-1,1), (-2,1), (-2,3), (-3,4), (-2,4);
|
||||
INSERT INTO t1 SELECT * FROM t1;
|
||||
INSERT INTO t1 SELECT * FROM t1;
|
||||
INSERT INTO t1 SELECT * FROM t1;
|
||||
INSERT INTO t1 SELECT * FROM t1;
|
||||
INSERT INTO t1 SELECT * FROM t1;
|
||||
INSERT INTO t1 SELECT * FROM t1;
|
||||
|
||||
ANALYZE TABLE t1 PERSISTENT FOR ALL;
|
||||
|
||||
let $ID= `SELECT @id := CONNECTION_ID()`;
|
||||
|
||||
set debug_sync='handler_rowid_filter_check SIGNAL killme WAIT_FOR go';
|
||||
send SELECT * FROM t1 WHERE a > 0 AND b=0;
|
||||
|
||||
connect (con1, localhost, root,,);
|
||||
let $ignore= `SELECT @id := $ID`;
|
||||
set debug_sync='now WAIT_FOR killme';
|
||||
kill query @id;
|
||||
set debug_sync='now SIGNAL go';
|
||||
|
||||
connection default;
|
||||
--error ER_QUERY_INTERRUPTED
|
||||
reap;
|
||||
set debug_sync='RESET';
|
||||
|
||||
disconnect con1;
|
||||
drop table t1;
|
||||
|
||||
set @@optimizer_use_condition_selectivity=@save_optimizer_use_condition_selectivity;
|
||||
set @@optimizer_switch=@save_optimizer_switch;
|
||||
set @@use_stat_tables=@save_use_stat_tables;
|
||||
|
||||
--source include/wait_until_count_sessions.inc
|
||||
|
||||
@@ -1661,7 +1661,7 @@ Note 1003 select `test`.`t1`.`a` AS `a`,`test`.`t1`.`b` AS `b` from `test`.`t1`
|
||||
# gives selectivity data
|
||||
explain extended select * from t1 where a in (17,51,5) and b=2;
|
||||
id select_type table type possible_keys key key_len ref rows filtered Extra
|
||||
1 SIMPLE t1 ref|filter b,a b|a 5|5 const 58 (3%) 2.90 Using where; Using rowid filter
|
||||
1 SIMPLE t1 ref b,a b 5 const 58 2.90 Using where
|
||||
Warnings:
|
||||
Note 1003 select `test`.`t1`.`a` AS `a`,`test`.`t1`.`b` AS `b` from `test`.`t1` where `test`.`t1`.`b` = 2 and `test`.`t1`.`a` in (17,51,5)
|
||||
drop table t1;
|
||||
|
||||
@@ -1671,7 +1671,7 @@ Note 1003 select `test`.`t1`.`a` AS `a`,`test`.`t1`.`b` AS `b` from `test`.`t1`
|
||||
# gives selectivity data
|
||||
explain extended select * from t1 where a in (17,51,5) and b=2;
|
||||
id select_type table type possible_keys key key_len ref rows filtered Extra
|
||||
1 SIMPLE t1 ref|filter b,a b|a 5|5 const 59 (3%) 2.90 Using where; Using rowid filter
|
||||
1 SIMPLE t1 ref b,a b 5 const 59 2.90 Using where
|
||||
Warnings:
|
||||
Note 1003 select `test`.`t1`.`a` AS `a`,`test`.`t1`.`b` AS `b` from `test`.`t1` where `test`.`t1`.`b` = 2 and `test`.`t1`.`a` in (17,51,5)
|
||||
drop table t1;
|
||||
|
||||
@@ -7887,7 +7887,9 @@ best_access_path(JOIN *join,
|
||||
} /* not ft_key */
|
||||
|
||||
if (records < DBL_MAX &&
|
||||
(found_part & 1)) // start_key->key can be used for index access
|
||||
(found_part & 1) && // start_key->key can be used for index access
|
||||
(s->table->file->index_flags(start_key->key,0,1) &
|
||||
HA_DO_RANGE_FILTER_PUSHDOWN))
|
||||
{
|
||||
double rows= record_count * records;
|
||||
|
||||
@@ -7912,23 +7914,50 @@ best_access_path(JOIN *join,
|
||||
cost_of_fetching_1_row = tmp/rows
|
||||
cost_of_fetching_1_key_tuple = keyread_tmp/rows
|
||||
|
||||
Note that access_cost_factor may be greater than 1.0. In this case
|
||||
we still can expect a gain of using rowid filter due to smaller number
|
||||
of checks for conditions pushed to the joined table.
|
||||
access_cost_factor is the gain we expect for using rowid filter.
|
||||
An access_cost_factor of 1.0 means that keyread_tmp is 0
|
||||
(using key read is infinitely fast) and the gain for each row when
|
||||
using filter is great.
|
||||
An access_cost_factor if 0.0 means that using keyread has the
|
||||
same cost as reading rows, so there is no gain to get with
|
||||
filter.
|
||||
access_cost_factor should never be bigger than 1.0 (if all
|
||||
calculations are correct) as the cost of keyread should always be
|
||||
smaller than the cost of fetching the same number of keys + rows.
|
||||
access_cost_factor should also never be smaller than 0.0.
|
||||
The one exception is if number of records is 1 (eq_ref), then
|
||||
because we are comparing rows to cost of keyread_tmp, keyread_tmp
|
||||
is higher by 1.0. This is a big that will be fixed in a later
|
||||
version.
|
||||
|
||||
If we have limited the cost (=tmp) of reading rows with 'worst_seek'
|
||||
we cannot use filters as the cost calculation below would cause
|
||||
tmp to become negative. The future resultion is to not limit
|
||||
cost with worst_seek.
|
||||
|
||||
We cannot use filter with JT_EQ_REF as in this case 'tmp' is
|
||||
number of rows from prev_record_read() and keyread_tmp is 0. These
|
||||
numbers are not usable with rowid filter code.
|
||||
*/
|
||||
double rows_access_cost= MY_MIN(rows, s->worst_seeks);
|
||||
double access_cost_factor= MY_MIN((rows_access_cost - keyread_tmp) /
|
||||
rows, 1.0);
|
||||
filter=
|
||||
table->best_range_rowid_filter_for_partial_join(start_key->key, rows,
|
||||
access_cost_factor);
|
||||
if (filter)
|
||||
{
|
||||
filter->get_cmp_gain(rows);
|
||||
tmp-= filter->get_adjusted_gain(rows) - filter->get_cmp_gain(rows);
|
||||
DBUG_ASSERT(tmp >= 0);
|
||||
trace_access_idx.add("rowid_filter_key",
|
||||
s->table->key_info[filter->key_no].name);
|
||||
double access_cost_factor= MY_MIN((rows - keyread_tmp) / rows, 1.0);
|
||||
if (!(records < s->worst_seeks &&
|
||||
records <= thd->variables.max_seeks_for_key))
|
||||
trace_access_idx.add("rowid_filter_skipped", "worst/max seeks clipping");
|
||||
else if (access_cost_factor <= 0.0)
|
||||
trace_access_idx.add("rowid_filter_skipped", "cost_factor <= 0");
|
||||
else if (type != JT_EQ_REF)
|
||||
{
|
||||
filter=
|
||||
table->best_range_rowid_filter_for_partial_join(start_key->key,
|
||||
rows,
|
||||
access_cost_factor);
|
||||
if (filter)
|
||||
{
|
||||
tmp-= filter->get_adjusted_gain(rows) - filter->get_cmp_gain(rows);
|
||||
DBUG_ASSERT(tmp >= 0);
|
||||
trace_access_idx.add("rowid_filter_key",
|
||||
s->table->key_info[filter->key_no].name);
|
||||
}
|
||||
}
|
||||
}
|
||||
trace_access_idx.add("rows", records).add("cost", tmp);
|
||||
@@ -8070,7 +8099,8 @@ best_access_path(JOIN *join,
|
||||
access (see first else-branch below), but we don't take it into
|
||||
account here for range/index_merge access. Find out why this is so.
|
||||
*/
|
||||
double cmp_time= (s->found_records - rnd_records)/(double) TIME_FOR_COMPARE;
|
||||
double cmp_time= ((s->found_records - rnd_records)/
|
||||
(double) TIME_FOR_COMPARE);
|
||||
tmp= COST_MULT(record_count,
|
||||
COST_ADD(s->quick->read_time, cmp_time));
|
||||
|
||||
@@ -8080,16 +8110,23 @@ best_access_path(JOIN *join,
|
||||
uint key_no= s->quick->index;
|
||||
|
||||
/* See the comment concerning using rowid filter for with ref access */
|
||||
keyread_tmp= s->table->quick_index_only_costs[key_no];
|
||||
keyread_tmp= s->table->quick_index_only_costs[key_no] * record_count;
|
||||
double access_cost_factor= MY_MIN((rows - keyread_tmp) / rows, 1.0);
|
||||
filter=
|
||||
s->table->best_range_rowid_filter_for_partial_join(key_no, rows,
|
||||
access_cost_factor);
|
||||
if (filter)
|
||||
if (access_cost_factor > 0.0)
|
||||
{
|
||||
tmp-= filter->get_adjusted_gain(rows);
|
||||
DBUG_ASSERT(tmp >= 0);
|
||||
filter=
|
||||
s->table->
|
||||
best_range_rowid_filter_for_partial_join(key_no, rows,
|
||||
access_cost_factor);
|
||||
if (filter)
|
||||
{
|
||||
tmp-= filter->get_adjusted_gain(rows);
|
||||
DBUG_ASSERT(tmp >= 0);
|
||||
}
|
||||
}
|
||||
else
|
||||
trace_access_scan.add("rowid_filter_skipped", "cost_factor <= 0");
|
||||
|
||||
type= JT_RANGE;
|
||||
}
|
||||
else
|
||||
|
||||
Reference in New Issue
Block a user