summaryrefslogtreecommitdiff
path: root/mysql-test/main/selectivity_no_engine.result
blob: 7fc3c6e99093bd88f714716c9ad8eb892e0ffab2 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
#
#  Engine-agnostic tests for statistics-based selectivity calculations.
#   - selectivity tests that depend on the engine should go into
#     t/selectivity.test. That test is run with myisam/innodb/xtradb.
#   - this file is for tests that don't depend on the engine. 
#
drop table if exists t0,t1,t2,t3;
select @@global.use_stat_tables;
@@global.use_stat_tables
COMPLEMENTARY
select @@session.use_stat_tables;
@@session.use_stat_tables
COMPLEMENTARY
set @save_use_stat_tables=@@use_stat_tables;
set use_stat_tables='preferably';
set @save_optimizer_use_condition_selectivity=@@optimizer_use_condition_selectivity;
set @save_histogram_size=@@histogram_size;
set @save_histogram_type=@@histogram_type;
#
# MDEV-5917: EITS: different order of predicates in IN (...) causes different estimates
#
create table t1(a int);
insert into t1 values (0),(1),(2),(3),(4),(5),(6),(7),(8),(9);
create table t2 (col1 int);
# one value in 1..100 range
insert into t2 select ta.a + tb.a*10 from t1 ta, t1 tb;
# ten values in 100...200 range
insert into t2 select 100 + ta.a + tb.a*10 from t1 ta, t1 tb, t1 tc;
set histogram_type='SINGLE_PREC_HB';
set histogram_size=100;
set optimizer_use_condition_selectivity=4;
analyze table t2 persistent for all;
Table	Op	Msg_type	Msg_text
test.t2	analyze	status	Engine-independent statistics collected
test.t2	analyze	status	OK
# The following two must have the same in 'Extra' column:
explain extended select * from t2 where col1 IN (20, 180);
id	select_type	table	type	possible_keys	key	key_len	ref	rows	filtered	Extra
1	SIMPLE	t2	ALL	NULL	NULL	NULL	NULL	1100	1.35	Using where
Warnings:
Note	1003	select `test`.`t2`.`col1` AS `col1` from `test`.`t2` where `test`.`t2`.`col1` in (20,180)
explain extended select * from t2 where col1 IN (180, 20);
id	select_type	table	type	possible_keys	key	key_len	ref	rows	filtered	Extra
1	SIMPLE	t2	ALL	NULL	NULL	NULL	NULL	1100	1.35	Using where
Warnings:
Note	1003	select `test`.`t2`.`col1` AS `col1` from `test`.`t2` where `test`.`t2`.`col1` in (180,20)
drop table t1, t2;
#
# MDEV-5926: EITS: Histogram estimates for column=least_possible_value are wrong
#
create table t0(a int);
insert into t0 values (0),(1),(2),(3),(4),(5),(6),(7),(8),(9);
create table t1(a int);
insert into t1 select ta.a from t0 ta, t0 tb, t0 tc;
set histogram_size=20;
set histogram_type='single_prec_hb';
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 use_stat_tables='preferably';
set optimizer_use_condition_selectivity=4;
# Should select about 10%:
explain extended select * from t1 where a=2;
id	select_type	table	type	possible_keys	key	key_len	ref	rows	filtered	Extra
1	SIMPLE	t1	ALL	NULL	NULL	NULL	NULL	1000	9.52	Using where
Warnings:
Note	1003	select `test`.`t1`.`a` AS `a` from `test`.`t1` where `test`.`t1`.`a` = 2
# Should select about 10%:
explain extended select * from t1 where a=1;
id	select_type	table	type	possible_keys	key	key_len	ref	rows	filtered	Extra
1	SIMPLE	t1	ALL	NULL	NULL	NULL	NULL	1000	9.52	Using where
Warnings:
Note	1003	select `test`.`t1`.`a` AS `a` from `test`.`t1` where `test`.`t1`.`a` = 1
# Must not have filtered=100%:
explain extended select * from t1 where a=0;
id	select_type	table	type	possible_keys	key	key_len	ref	rows	filtered	Extra
1	SIMPLE	t1	ALL	NULL	NULL	NULL	NULL	1000	9.52	Using where
Warnings:
Note	1003	select `test`.`t1`.`a` AS `a` from `test`.`t1` where `test`.`t1`.`a` = 0
# Again, must not have filtered=100%:
explain extended select * from t1 where a=-1;
id	select_type	table	type	possible_keys	key	key_len	ref	rows	filtered	Extra
1	SIMPLE	t1	ALL	NULL	NULL	NULL	NULL	1000	9.52	Using where
Warnings:
Note	1003	select `test`.`t1`.`a` AS `a` from `test`.`t1` where `test`.`t1`.`a` = -1
drop table t0, t1;
#
# MDEV-4362: Selectivity estimates for IN (...) do not depend on whether the values are in range
#
create table t1 (col1 int);
set @a=-1;
create table t2 (a int)  select (@a:=@a+1) as a from information_schema.session_variables ta limit 100;
insert into t1 select ta.a from t2 ta, t2 tb where ta.a < 100 and tb.a < 100;
select min(col1), max(col1), count(*) from t1;
min(col1)	max(col1)	count(*)
0	99	10000
set histogram_size=100;
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
explain extended select * from t1 where col1 in (1,2,3);
id	select_type	table	type	possible_keys	key	key_len	ref	rows	filtered	Extra
1	SIMPLE	t1	ALL	NULL	NULL	NULL	NULL	10000	3.37	Using where
Warnings:
Note	1003	select `test`.`t1`.`col1` AS `col1` from `test`.`t1` where `test`.`t1`.`col1` in (1,2,3)
# Must not cause fp division by zero, or produce nonsense numbers:
explain extended select * from t1 where col1 in (-1,-2,-3);
id	select_type	table	type	possible_keys	key	key_len	ref	rows	filtered	Extra
1	SIMPLE	t1	ALL	NULL	NULL	NULL	NULL	10000	5.94	Using where
Warnings:
Note	1003	select `test`.`t1`.`col1` AS `col1` from `test`.`t1` where `test`.`t1`.`col1` in (-1,-2,-3)
explain extended select * from t1 where col1<=-1;
id	select_type	table	type	possible_keys	key	key_len	ref	rows	filtered	Extra
1	SIMPLE	t1	ALL	NULL	NULL	NULL	NULL	10000	1.00	Using where
Warnings:
Note	1003	select `test`.`t1`.`col1` AS `col1` from `test`.`t1` where `test`.`t1`.`col1` <= -1
drop table t1, t2;
# 
# MDEV-5984: EITS: Incorrect filtered% value for single-table select with range access
# 
create table t1(a int);
insert into t1 values (0),(1),(2),(3),(4),(5),(6),(7),(8),(9);
create table t2 (a int, b int, col1 varchar(64), col2 varchar(64), key(a,b));
insert into t2 select ta.a+10*tb.a, tc.a+10*td.a, 'filler-data1', 'filler-data2' from t1 ta, t1 tb, t1 tc, t1 td;
set histogram_size=100;
set optimizer_use_condition_selectivity=4;
set use_stat_tables='preferably';
analyze table t2 persistent for all;
Table	Op	Msg_type	Msg_text
test.t2	analyze	status	Engine-independent statistics collected
test.t2	analyze	status	Table is already up to date
# This must show filtered=100%:
explain extended select * from t2 where a in (1,2,3) and b in (1,2,3);
id	select_type	table	type	possible_keys	key	key_len	ref	rows	filtered	Extra
1	SIMPLE	t2	range	a	a	10	NULL	9	100.00	Using index condition
Warnings:
Note	1003	select `test`.`t2`.`a` AS `a`,`test`.`t2`.`b` AS `b`,`test`.`t2`.`col1` AS `col1`,`test`.`t2`.`col2` AS `col2` from `test`.`t2` where `test`.`t2`.`a` in (1,2,3) and `test`.`t2`.`b` in (1,2,3)
drop table t2, t1;
# 
# MDEV-5980: EITS: if condition is used for REF access, its selectivity is still in filtered%
# 
create table t0(a int);
insert into t0 values (0),(1),(2),(3),(4),(5),(6),(7),(8),(9);
create table t1(key1 int, col1 int, key(key1));
insert into t1 select ta.a, ta.a from t0 ta, t0 tb, t0 tc;
set histogram_size=100;
set use_stat_tables='preferably';
set optimizer_use_condition_selectivity=4;
analyze table t1 persistent for all;
Table	Op	Msg_type	Msg_text
test.t1	analyze	status	Engine-independent statistics collected
test.t1	analyze	status	Table is already up to date
# 10% is ok
explain extended select * from t1 where col1=2;
id	select_type	table	type	possible_keys	key	key_len	ref	rows	filtered	Extra
1	SIMPLE	t1	ALL	NULL	NULL	NULL	NULL	1000	9.90	Using where
Warnings:
Note	1003	select `test`.`t1`.`key1` AS `key1`,`test`.`t1`.`col1` AS `col1` from `test`.`t1` where `test`.`t1`.`col1` = 2
# Must show 100%, not 10%
explain extended select * from t1 where key1=2;
id	select_type	table	type	possible_keys	key	key_len	ref	rows	filtered	Extra
1	SIMPLE	t1	ref	key1	key1	5	const	98	100.00	
Warnings:
Note	1003	select `test`.`t1`.`key1` AS `key1`,`test`.`t1`.`col1` AS `col1` from `test`.`t1` where `test`.`t1`.`key1` = 2
drop table t0, t1;
# MDEV-6003: EITS: ref access, keypart2=const vs keypart2=expr - inconsistent filtered% value
# 
create table t0(a int);
insert into t0 values (0),(1),(2),(3),(4),(5),(6),(7),(8),(9);
create table t1 (
kp1 int, kp2 int, 
filler1 char(100),
filler2 char(100),
key(kp1, kp2)
);
insert into t1 
select 
ta.a,
tb.a,
'filler-data-1',
'filler-data-2'
from t0 ta, t0 tb, t0 tc;
set histogram_size=100;
set use_stat_tables='preferably';
set optimizer_use_condition_selectivity=4;
analyze table t1 persistent for all;
Table	Op	Msg_type	Msg_text
test.t1	analyze	status	Engine-independent statistics collected
test.t1	analyze	status	Table is already up to date
# NOTE: 10*100%, 10*100% rows is ok
explain extended select * from t0, t1 where t1.kp1=t0.a and t1.kp2=t0.a+1;
id	select_type	table	type	possible_keys	key	key_len	ref	rows	filtered	Extra
1	SIMPLE	t0	ALL	NULL	NULL	NULL	NULL	10	100.00	Using where
1	SIMPLE	t1	ref	kp1	kp1	10	test.t0.a,func	10	100.00	Using index condition
Warnings:
Note	1003	select `test`.`t0`.`a` AS `a`,`test`.`t1`.`kp1` AS `kp1`,`test`.`t1`.`kp2` AS `kp2`,`test`.`t1`.`filler1` AS `filler1`,`test`.`t1`.`filler2` AS `filler2` from `test`.`t0` join `test`.`t1` where `test`.`t1`.`kp1` = `test`.`t0`.`a` and `test`.`t1`.`kp2` = `test`.`t0`.`a` + 1
# NOTE: t0: 10*100% is ok,  t1: 10*9.90% is bad. t1 should have 10*100%.
explain extended select * from t0, t1 where t1.kp1=t0.a and t1.kp2=4;
id	select_type	table	type	possible_keys	key	key_len	ref	rows	filtered	Extra
1	SIMPLE	t0	ALL	NULL	NULL	NULL	NULL	10	100.00	Using where
1	SIMPLE	t1	ref	kp1	kp1	10	test.t0.a,const	10	100.00	
Warnings:
Note	1003	select `test`.`t0`.`a` AS `a`,`test`.`t1`.`kp1` AS `kp1`,`test`.`t1`.`kp2` AS `kp2`,`test`.`t1`.`filler1` AS `filler1`,`test`.`t1`.`filler2` AS `filler2` from `test`.`t0` join `test`.`t1` where `test`.`t1`.`kp1` = `test`.`t0`.`a` and `test`.`t1`.`kp2` = 4
drop table t0, t1;
# 
# MDEV-6209: Assertion `join->best_read < double(1.79769313486231570815e+308L)' 
#            failed in bool greedy_search with optimizer_use_condition_selectivity>1
# 
SET optimizer_use_condition_selectivity = 2;
CREATE TABLE t1 (a CHAR(6), b INT, PRIMARY KEY (a,b)) ENGINE=MyISAM;
INSERT INTO t1 VALUES ('foo',1),('bar',2);
SELECT * FROM t1 AS t1_1, t1 AS t1_2 WHERE NOT ( t1_1.a <> 'baz');
a	b	a	b
DROP TABLE t1;
# 
# MDEV-6308: Server crashes in table_multi_eq_cond_selectivity with ...
#
CREATE TABLE t1 (
id varchar(40) COLLATE utf8_bin,
dt datetime,
PRIMARY KEY (id)
);
INSERT INTO t1 VALUES ('foo','2011-04-12 05:18:08'),
('bar','2013-09-19 11:37:03');
CREATE TABLE t2 (
t1_id varchar(40) COLLATE utf8_bin,
f1 varchar(64),
f2 varchar(1024),
KEY (f1,f2(255))
);
INSERT INTO t2 VALUES ('foo','baz','qux'),('bar','baz','qux');
set optimizer_use_condition_selectivity=2;
explain
select * from t1,t2 where t1.id = t2.t1_id and t2.f2='qux' and t2.f1='baz';
id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
1	SIMPLE	t2	ref	f1	f1	325	const,const	1	Using index condition; Using where
1	SIMPLE	t1	eq_ref	PRIMARY	PRIMARY	122	test.t2.t1_id	1	
select * from t1,t2 where t1.id = t2.t1_id and t2.f2='qux' and t2.f1='baz';
id	dt	t1_id	f1	f2
foo	2011-04-12 05:18:08	foo	baz	qux
bar	2013-09-19 11:37:03	bar	baz	qux
drop table t1,t2;
# 
# MDEV-5985: EITS: selectivity estimates look illogical for join and non-key equalities
#
create table t0(a int);
insert into t0 values (0),(1),(2),(3),(4),(5),(6),(7),(8),(9);
create table t1(a int);
insert into t1 select ta.a + tb.a* 10 + tc.a * 100 from t0 ta, t0 tb, t0 tc;
create table t2 as select * from t1;
set histogram_size=100;
set use_stat_tables='preferably';
set optimizer_use_condition_selectivity=4;
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
analyze table t2 persistent for all;
Table	Op	Msg_type	Msg_text
test.t2	analyze	status	Engine-independent statistics collected
test.t2	analyze	status	OK
# Filtered will be 4.95, 9.90
explain extended select * from t1 ta, t2 tb where ta.a < 40 and tb.a < 100;
id	select_type	table	type	possible_keys	key	key_len	ref	rows	filtered	Extra
1	SIMPLE	ta	ALL	NULL	NULL	NULL	NULL	1000	4.95	Using where
1	SIMPLE	tb	ALL	NULL	NULL	NULL	NULL	1000	9.90	Using where; Using join buffer (flat, BNL join)
Warnings:
Note	1003	select `test`.`ta`.`a` AS `a`,`test`.`tb`.`a` AS `a` from `test`.`t1` `ta` join `test`.`t2` `tb` where `test`.`ta`.`a` < 40 and `test`.`tb`.`a` < 100
# Here, tb.filtered should not become 100%:
explain extended select * from t1 ta, t2 tb where ta.a < 40 and tb.a < 100 and tb.a=ta.a;
id	select_type	table	type	possible_keys	key	key_len	ref	rows	filtered	Extra
1	SIMPLE	ta	ALL	NULL	NULL	NULL	NULL	1000	4.95	Using where
1	SIMPLE	tb	ALL	NULL	NULL	NULL	NULL	1000	4.95	Using where; Using join buffer (flat, BNL join)
Warnings:
Note	1003	select `test`.`ta`.`a` AS `a`,`test`.`tb`.`a` AS `a` from `test`.`t1` `ta` join `test`.`t2` `tb` where `test`.`tb`.`a` = `test`.`ta`.`a` and `test`.`ta`.`a` < 40 and `test`.`ta`.`a` < 100
drop table t0,t1,t2;
#
# MDEV-8779: mysqld got signal 11 in sql/opt_range_mrr.cc:100(step_down_to)
#
set @tmp_mdev8779=@@optimizer_use_condition_selectivity;
set optimizer_use_condition_selectivity=5;
CREATE TABLE t1 (
i int(10) unsigned NOT NULL AUTO_INCREMENT,
n varchar(2048) NOT NULL,
d tinyint(1) unsigned NOT NULL,
p int(10) unsigned NOT NULL,
PRIMARY KEY (i)
) DEFAULT CHARSET=utf8;
insert into t1 values (1,'aaa',1,1), (2,'bbb',2,2);
SELECT * FROM t1 WHERE t1.d = 0 AND t1.p = '1' AND t1.i != '-1' AND t1.n = 'some text';
i	n	d	p
set optimizer_use_condition_selectivity= @tmp_mdev8779;
DROP TABLE t1;
# 
# End of the test file
# 
set use_stat_tables= @save_use_stat_tables;
set histogram_type=@save_histogram_type;
set histogram_size=@save_histogram_size;
set optimizer_use_condition_selectivity=@save_optimizer_use_condition_selectivity;