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MDEV-27229: Estimation for filtered rows less precise ... #5
Fix special handling for values that are right next to buckets with ndv=1.
This commit is contained in:
committed by
Sergei Petrunia
parent
67d4d0426f
commit
531dd708ef
@ -4631,12 +4631,12 @@ test t1_json a a-0 a-9 0.0000 3.0000 1.0000 10 JSON_HB {
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}
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explain extended select * from t1_json where a between 'a-3a' and 'zzzzzzzzz';
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id select_type table type possible_keys key key_len ref rows filtered Extra
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1 SIMPLE t1_json ALL NULL NULL NULL NULL 10 68.71 Using where
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1 SIMPLE t1_json ALL NULL NULL NULL NULL 10 60.00 Using where
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Warnings:
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Note 1003 select `test`.`t1_json`.`a` AS `a` from `test`.`t1_json` where `test`.`t1_json`.`a` between 'a-3a' and 'zzzzzzzzz'
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analyze select * from t1_json where a between 'a-3a' and 'zzzzzzzzz';
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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 t1_json ALL NULL NULL NULL NULL 10 10.00 68.71 60.00 Using where
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1 SIMPLE t1_json ALL NULL NULL NULL NULL 10 10.00 60.00 60.00 Using where
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explain extended select * from t1_json where a < 'b-1a';
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id select_type table type possible_keys key key_len ref rows filtered Extra
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1 SIMPLE t1_json ALL NULL NULL NULL NULL 10 100.00 Using where
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@ -8014,7 +8014,7 @@ test.t1 analyze status OK
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analyze
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select c from t1 where c > '1';
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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 t1 ALL NULL NULL NULL NULL 16 16.00 80.47 75.00 Using where
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1 SIMPLE t1 ALL NULL NULL NULL NULL 16 16.00 75.00 75.00 Using where
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drop table t1;
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#
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# MDEV-26849: JSON Histograms: point selectivity estimates are off for non-existent values
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@ -8211,3 +8211,33 @@ analyze select COUNT(*) FROM t1 WHERE a < 'a';
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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 t1 ALL NULL NULL NULL NULL 100 100.00 50.00 50.00 Using where
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drop table t1;
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#
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# MDEV-27229: Estimation for filtered rows less precise ... #5
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#
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create table t1 (id int, a varchar(8));
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insert into t1 select seq, 'bar' from seq_1_to_100;
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insert into t1 select id, 'qux' from t1;
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set histogram_type=JSON_HB;
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analyze table t1 persistent for all;
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Table Op Msg_type Msg_text
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test.t1 analyze status Engine-independent statistics collected
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test.t1 analyze status OK
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analyze select COUNT(*) FROM t1 WHERE a > 'foo';
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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 t1 ALL NULL NULL NULL NULL 200 200.00 50.00 50.00 Using where
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analyze select COUNT(*) FROM t1 WHERE a > 'aaa';
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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 t1 ALL NULL NULL NULL NULL 200 200.00 100.00 100.00 Using where
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analyze select COUNT(*) FROM t1 WHERE a >='aaa';
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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 t1 ALL NULL NULL NULL NULL 200 200.00 100.00 100.00 Using where
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analyze select COUNT(*) FROM t1 WHERE a > 'bar';
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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 t1 ALL NULL NULL NULL NULL 200 200.00 50.00 50.00 Using where
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analyze select COUNT(*) FROM t1 WHERE a >='bar';
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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 t1 ALL NULL NULL NULL NULL 200 200.00 100.00 100.00 Using where
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analyze select COUNT(*) FROM t1 WHERE a <='bar';
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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 t1 ALL NULL NULL NULL NULL 200 200.00 50.00 50.00 Using where
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drop table t1;
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