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 @save_histogram_size=@@global.histogram_size;
set @@global.histogram_size=0,@@local.histogram_size=0;
set optimizer_use_condition_selectivity=4;
set use_stat_tables='preferably';
set @save_histogram_type=@@histogram_type;
set histogram_type='single_prec_hb';
DROP DATABASE IF EXISTS dbt3_s001;
CREATE DATABASE dbt3_s001;
use dbt3_s001;
set @save_optimizer_switch=@@optimizer_switch;
set optimizer_switch='extended_keys=off';
select * from mysql.table_stats;
db_name	table_name	cardinality
dbt3_s001	customer	150
dbt3_s001	lineitem	6005
dbt3_s001	nation	25
dbt3_s001	orders	1500
dbt3_s001	part	200
dbt3_s001	partsupp	700
dbt3_s001	region	5
dbt3_s001	supplier	10
select * from mysql.index_stats;
db_name	table_name	index_name	prefix_arity	avg_frequency
dbt3_s001	customer	PRIMARY	1	1.0000
dbt3_s001	customer	i_c_nationkey	1	6.0000
dbt3_s001	lineitem	PRIMARY	1	4.0033
dbt3_s001	lineitem	PRIMARY	2	1.0000
dbt3_s001	lineitem	i_l_shipdate	1	2.6500
dbt3_s001	lineitem	i_l_suppkey_partkey	1	30.0250
dbt3_s001	lineitem	i_l_suppkey_partkey	2	8.5786
dbt3_s001	lineitem	i_l_partkey	1	30.0250
dbt3_s001	lineitem	i_l_suppkey	1	600.5000
dbt3_s001	lineitem	i_l_receiptdate	1	2.6477
dbt3_s001	lineitem	i_l_orderkey	1	4.0033
dbt3_s001	lineitem	i_l_orderkey_quantity	1	4.0033
dbt3_s001	lineitem	i_l_orderkey_quantity	2	1.0404
dbt3_s001	lineitem	i_l_commitdate	1	2.7160
dbt3_s001	nation	PRIMARY	1	1.0000
dbt3_s001	nation	i_n_regionkey	1	5.0000
dbt3_s001	orders	PRIMARY	1	1.0000
dbt3_s001	orders	i_o_orderdate	1	1.3321
dbt3_s001	orders	i_o_custkey	1	15.0000
dbt3_s001	part	PRIMARY	1	1.0000
dbt3_s001	part	i_p_retailprice	1	1.0000
dbt3_s001	partsupp	PRIMARY	1	3.5000
dbt3_s001	partsupp	PRIMARY	2	1.0000
dbt3_s001	partsupp	i_ps_partkey	1	3.5000
dbt3_s001	partsupp	i_ps_suppkey	1	70.0000
dbt3_s001	region	PRIMARY	1	1.0000
dbt3_s001	supplier	PRIMARY	1	1.0000
dbt3_s001	supplier	i_s_nationkey	1	1.1111
set optimizer_switch=@save_optimizer_switch;
set @save_optimizer_switch=@@optimizer_switch;
set optimizer_switch='index_condition_pushdown=off';
EXPLAIN select n_name, sum(l_extendedprice * (1 - l_discount)) as revenue
from customer, orders, lineitem, supplier, nation, region
where c_custkey = o_custkey and l_orderkey = o_orderkey
and l_suppkey = s_suppkey and c_nationkey = s_nationkey
and s_nationkey = n_nationkey and n_regionkey = r_regionkey
and r_name = 'AMERICA' and o_orderdate >= date '1995-01-01'
      and o_orderdate < date '1995-01-01' + interval '1' year
group by n_name
order by revenue desc;
id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
1	SIMPLE	region	ALL	PRIMARY	NULL	NULL	NULL	5	Using where; Using temporary; Using filesort
1	SIMPLE	nation	ref	PRIMARY,i_n_regionkey	i_n_regionkey	5	dbt3_s001.region.r_regionkey	5	
1	SIMPLE	supplier	ref	PRIMARY,i_s_nationkey	i_s_nationkey	5	dbt3_s001.nation.n_nationkey	1	
1	SIMPLE	customer	ref	PRIMARY,i_c_nationkey	i_c_nationkey	5	dbt3_s001.nation.n_nationkey	6	
1	SIMPLE	orders	ref|filter	PRIMARY,i_o_orderdate,i_o_custkey	i_o_custkey|i_o_orderdate	5|4	dbt3_s001.customer.c_custkey	15 (12%)	Using where; Using rowid filter
1	SIMPLE	lineitem	ref	PRIMARY,i_l_suppkey,i_l_orderkey,i_l_orderkey_quantity	i_l_orderkey	4	dbt3_s001.orders.o_orderkey	4	Using where
select n_name, sum(l_extendedprice * (1 - l_discount)) as revenue
from customer, orders, lineitem, supplier, nation, region
where c_custkey = o_custkey and l_orderkey = o_orderkey
and l_suppkey = s_suppkey and c_nationkey = s_nationkey
and s_nationkey = n_nationkey and n_regionkey = r_regionkey
and r_name = 'AMERICA' and o_orderdate >= date '1995-01-01'
      and o_orderdate < date '1995-01-01' + interval '1' year
group by n_name
order by revenue desc;
n_name	revenue
PERU	321915.87150000007
ARGENTINA	69817.1451
set optimizer_switch=@save_optimizer_switch;
delete from mysql.index_stats;
select * from mysql.table_stats;
db_name	table_name	cardinality
dbt3_s001	customer	150
dbt3_s001	lineitem	6005
dbt3_s001	nation	25
dbt3_s001	orders	1500
dbt3_s001	part	200
dbt3_s001	partsupp	700
dbt3_s001	region	5
dbt3_s001	supplier	10
select * from mysql.index_stats;
db_name	table_name	index_name	prefix_arity	avg_frequency
dbt3_s001	customer	PRIMARY	1	1.0000
dbt3_s001	customer	i_c_nationkey	1	6.0000
dbt3_s001	lineitem	PRIMARY	1	4.0033
dbt3_s001	lineitem	PRIMARY	2	1.0000
dbt3_s001	lineitem	i_l_shipdate	1	2.6500
dbt3_s001	lineitem	i_l_suppkey_partkey	1	30.0250
dbt3_s001	lineitem	i_l_suppkey_partkey	2	8.5786
dbt3_s001	lineitem	i_l_partkey	1	30.0250
dbt3_s001	lineitem	i_l_suppkey	1	600.5000
dbt3_s001	lineitem	i_l_receiptdate	1	2.6477
dbt3_s001	lineitem	i_l_orderkey	1	4.0033
dbt3_s001	lineitem	i_l_orderkey_quantity	1	4.0033
dbt3_s001	lineitem	i_l_orderkey_quantity	2	1.0404
dbt3_s001	lineitem	i_l_commitdate	1	2.7160
dbt3_s001	nation	PRIMARY	1	1.0000
dbt3_s001	nation	i_n_regionkey	1	5.0000
dbt3_s001	orders	PRIMARY	1	1.0000
dbt3_s001	orders	i_o_orderdate	1	1.3321
dbt3_s001	orders	i_o_custkey	1	15.0000
dbt3_s001	part	PRIMARY	1	1.0000
dbt3_s001	part	i_p_retailprice	1	1.0000
dbt3_s001	partsupp	PRIMARY	1	3.5000
dbt3_s001	partsupp	PRIMARY	2	1.0000
dbt3_s001	partsupp	i_ps_partkey	1	3.5000
dbt3_s001	partsupp	i_ps_suppkey	1	70.0000
dbt3_s001	region	PRIMARY	1	1.0000
dbt3_s001	supplier	PRIMARY	1	1.0000
dbt3_s001	supplier	i_s_nationkey	1	1.1111
select * from mysql.table_stats where table_name='orders';
db_name	table_name	cardinality
dbt3_s001	orders	1500
select * from mysql.index_stats where table_name='orders';
db_name	table_name	index_name	prefix_arity	avg_frequency
dbt3_s001	orders	PRIMARY	1	1.0000
dbt3_s001	orders	i_o_orderdate	1	1.3321
dbt3_s001	orders	i_o_custkey	1	15.0000
select (select cardinality from mysql.table_stats where table_name='orders') /
(select avg_frequency from mysql.index_stats 
where index_name='i_o_orderdate' and prefix_arity=1) as n_distinct;
n_distinct
1126.0416
select count(distinct o_orderdate) from orders;
count(distinct o_orderdate)
1126
select (select cardinality from mysql.table_stats where table_name='orders') /
(select avg_frequency from mysql.index_stats 
where index_name='i_o_custkey' and prefix_arity=1) as n_distinct;
n_distinct
100.0000
select count(distinct o_custkey) from orders;
count(distinct o_custkey)
100
show index from orders;
Table	Non_unique	Key_name	Seq_in_index	Column_name	Collation	Cardinality	Sub_part	Packed	Null	Index_type	Comment	Index_comment
orders	0	PRIMARY	1	o_orderkey	A	1500	NULL	NULL		BTREE		
orders	1	i_o_orderdate	1	o_orderDATE	A	1126	NULL	NULL	YES	BTREE		
orders	1	i_o_custkey	1	o_custkey	A	100	NULL	NULL	YES	BTREE		
select index_name, column_name, cardinality from information_schema.statistics
where table_name='orders';
index_name	column_name	cardinality
PRIMARY	o_orderkey	1500
i_o_orderdate	o_orderDATE	1126
i_o_custkey	o_custkey	100
set @save_optimizer_switch=@@optimizer_switch;
set optimizer_switch='index_condition_pushdown=off';
EXPLAIN select n_name, sum(l_extendedprice * (1 - l_discount)) as revenue
from customer, orders, lineitem, supplier, nation, region
where c_custkey = o_custkey and l_orderkey = o_orderkey
and l_suppkey = s_suppkey and c_nationkey = s_nationkey
and s_nationkey = n_nationkey and n_regionkey = r_regionkey
and r_name = 'AMERICA' and o_orderdate >= date '1995-01-01'
      and o_orderdate < date '1995-01-01' + interval '1' year
group by n_name
order by revenue desc;
id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
1	SIMPLE	region	ALL	PRIMARY	NULL	NULL	NULL	5	Using where; Using temporary; Using filesort
1	SIMPLE	nation	ref	PRIMARY,i_n_regionkey	i_n_regionkey	5	dbt3_s001.region.r_regionkey	5	
1	SIMPLE	supplier	ref	PRIMARY,i_s_nationkey	i_s_nationkey	5	dbt3_s001.nation.n_nationkey	1	
1	SIMPLE	customer	ref	PRIMARY,i_c_nationkey	i_c_nationkey	5	dbt3_s001.nation.n_nationkey	6	
1	SIMPLE	orders	ref|filter	PRIMARY,i_o_orderdate,i_o_custkey	i_o_custkey|i_o_orderdate	5|4	dbt3_s001.customer.c_custkey	15 (12%)	Using where; Using rowid filter
1	SIMPLE	lineitem	ref	PRIMARY,i_l_suppkey,i_l_orderkey,i_l_orderkey_quantity	i_l_orderkey	4	dbt3_s001.orders.o_orderkey	4	Using where
select n_name, sum(l_extendedprice * (1 - l_discount)) as revenue
from customer, orders, lineitem, supplier, nation, region
where c_custkey = o_custkey and l_orderkey = o_orderkey
and l_suppkey = s_suppkey and c_nationkey = s_nationkey
and s_nationkey = n_nationkey and n_regionkey = r_regionkey
and r_name = 'AMERICA' and o_orderdate >= date '1995-01-01'
      and o_orderdate < date '1995-01-01' + interval '1' year
group by n_name
order by revenue desc;
n_name	revenue
PERU	321915.87150000007
ARGENTINA	69817.1451
set optimizer_switch=@save_optimizer_switch;
EXPLAIN select o_year,
sum(case when nation = 'UNITED STATES' then volume else 0 end) /
sum(volume) as mkt_share
from (select extract(year from o_orderdate) as o_year,
l_extendedprice * (1-l_discount) as volume, 
n2.n_name as nation
from part, supplier, lineitem, orders, customer, 
nation n1, nation n2, region
where p_partkey = l_partkey and s_suppkey = l_suppkey
and l_orderkey = o_orderkey and o_custkey = c_custkey
and c_nationkey = n1.n_nationkey and n1.n_regionkey = r_regionkey
and r_name = 'AMERICA' and s_nationkey = n2.n_nationkey
and o_orderdate between date '1995-01-01' and date '1996-12-31'
            and p_type = 'STANDARD BRUSHED STEEL' ) as all_nations
group by o_year
order by o_year;
id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
1	SIMPLE	region	ALL	PRIMARY	NULL	NULL	NULL	5	Using where; Using temporary; Using filesort
1	SIMPLE	part	ALL	PRIMARY	NULL	NULL	NULL	200	Using where; Using join buffer (flat, BNL join)
1	SIMPLE	lineitem	ref	PRIMARY,i_l_suppkey_partkey,i_l_partkey,i_l_suppkey,i_l_orderkey,i_l_orderkey_quantity	i_l_partkey	5	dbt3_s001.part.p_partkey	30	Using where
1	SIMPLE	supplier	eq_ref	PRIMARY,i_s_nationkey	PRIMARY	4	dbt3_s001.lineitem.l_suppkey	1	Using where
1	SIMPLE	orders	eq_ref|filter	PRIMARY,i_o_orderdate,i_o_custkey	PRIMARY|i_o_orderdate	4|4	dbt3_s001.lineitem.l_orderkey	1 (27%)	Using where; Using rowid filter
1	SIMPLE	n2	eq_ref	PRIMARY	PRIMARY	4	dbt3_s001.supplier.s_nationkey	1	
1	SIMPLE	customer	eq_ref	PRIMARY,i_c_nationkey	PRIMARY	4	dbt3_s001.orders.o_custkey	1	Using where
1	SIMPLE	n1	eq_ref	PRIMARY,i_n_regionkey	PRIMARY	4	dbt3_s001.customer.c_nationkey	1	Using where
select o_year,
sum(case when nation = 'UNITED STATES' then volume else 0 end) /
sum(volume) as mkt_share
from (select extract(year from o_orderdate) as o_year,
l_extendedprice * (1-l_discount) as volume, 
n2.n_name as nation
from part, supplier, lineitem, orders, customer, 
nation n1, nation n2, region
where p_partkey = l_partkey and s_suppkey = l_suppkey
and l_orderkey = o_orderkey and o_custkey = c_custkey
and c_nationkey = n1.n_nationkey and n1.n_regionkey = r_regionkey
and r_name = 'AMERICA' and s_nationkey = n2.n_nationkey
and o_orderdate between date '1995-01-01' and date '1996-12-31'
            and p_type = 'STANDARD BRUSHED STEEL' ) as all_nations
group by o_year
order by o_year;
o_year	mkt_share
1995	0.4495521838895718
1996	0.024585468215352495
EXPLAIN select nation, o_year, sum(amount) as sum_profit
from (select n_name as nation, 
extract(year from o_orderdate) as o_year,
l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity as amount
from part, supplier, lineitem, partsupp, orders, nation
where s_suppkey = l_suppkey and ps_suppkey = l_suppkey
and ps_partkey = l_partkey and p_partkey = l_partkey
and o_orderkey = l_orderkey and s_nationkey = n_nationkey
and p_name like '%green%') as profit
group by nation, o_year
order by nation, o_year desc;
id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
1	SIMPLE	supplier	ALL	PRIMARY,i_s_nationkey	NULL	NULL	NULL	10	Using where; Using temporary; Using filesort
1	SIMPLE	nation	eq_ref	PRIMARY	PRIMARY	4	dbt3_s001.supplier.s_nationkey	1	
1	SIMPLE	partsupp	ref	PRIMARY,i_ps_partkey,i_ps_suppkey	i_ps_suppkey	4	dbt3_s001.supplier.s_suppkey	70	
1	SIMPLE	part	eq_ref	PRIMARY	PRIMARY	4	dbt3_s001.partsupp.ps_partkey	1	Using where
1	SIMPLE	lineitem	ref	PRIMARY,i_l_suppkey_partkey,i_l_partkey,i_l_suppkey,i_l_orderkey,i_l_orderkey_quantity	i_l_suppkey_partkey	10	dbt3_s001.partsupp.ps_partkey,dbt3_s001.supplier.s_suppkey	8	
1	SIMPLE	orders	eq_ref	PRIMARY	PRIMARY	4	dbt3_s001.lineitem.l_orderkey	1	
select nation, o_year, sum(amount) as sum_profit
from (select n_name as nation, 
extract(year from o_orderdate) as o_year,
l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity as amount
from part, supplier, lineitem, partsupp, orders, nation
where s_suppkey = l_suppkey and ps_suppkey = l_suppkey
and ps_partkey = l_partkey and p_partkey = l_partkey
and o_orderkey = l_orderkey and s_nationkey = n_nationkey
and p_name like '%green%') as profit
group by nation, o_year
order by nation, o_year desc;
nation	o_year	sum_profit
ARGENTINA	1997	18247.873399999993
ARGENTINA	1996	7731.089399999995
ARGENTINA	1995	134490.5697
ARGENTINA	1994	36767.101500000004
ARGENTINA	1993	35857.08
ARGENTINA	1992	35740
ETHIOPIA	1998	2758.7801999999992
ETHIOPIA	1997	19419.294599999997
ETHIOPIA	1995	51231.87439999999
ETHIOPIA	1994	3578.9478999999974
ETHIOPIA	1992	1525.8234999999986
IRAN	1998	37817.229600000006
IRAN	1997	52643.77359999999
IRAN	1996	70143.7761
IRAN	1995	84094.58260000001
IRAN	1994	18140.925599999995
IRAN	1993	78655.1676
IRAN	1992	87142.23960000002
IRAQ	1998	22860.8082
IRAQ	1997	93676.24359999999
IRAQ	1996	45103.3242
IRAQ	1994	36010.728599999995
IRAQ	1993	33221.9399
IRAQ	1992	47755.05900000001
KENYA	1998	44194.831999999995
KENYA	1997	57578.36259999999
KENYA	1996	59195.90210000001
KENYA	1995	79262.6278
KENYA	1994	102360.66609999999
KENYA	1993	128422.0196
KENYA	1992	181517.2089
MOROCCO	1998	41797.823199999984
MOROCCO	1997	23685.801799999994
MOROCCO	1996	62115.19579999998
MOROCCO	1995	42442.64300000001
MOROCCO	1994	48655.878000000004
MOROCCO	1993	22926.744400000003
MOROCCO	1992	32239.8088
PERU	1998	86999.36459999997
PERU	1997	121110.41070000001
PERU	1996	177040.40759999995
PERU	1995	122247.94520000002
PERU	1994	88046.25329999998
PERU	1993	49379.813799999996
PERU	1992	80646.86050000001
UNITED KINGDOM	1998	50577.25560000001
UNITED KINGDOM	1997	114288.8605
UNITED KINGDOM	1996	147684.46480000002
UNITED KINGDOM	1995	225267.65759999998
UNITED KINGDOM	1994	140595.5864
UNITED KINGDOM	1993	322548.49210000003
UNITED KINGDOM	1992	67747.88279999999
UNITED STATES	1998	3957.0431999999996
UNITED STATES	1997	94729.5704
UNITED STATES	1996	79297.85670000002
UNITED STATES	1995	62201.23360000001
UNITED STATES	1994	43075.629899999985
UNITED STATES	1993	27168.486199999996
UNITED STATES	1992	34092.366
set @save_optimizer_switch=@@optimizer_switch;
set optimizer_switch='extended_keys=on';
EXPLAIN select o_orderkey, p_partkey
from part, lineitem, orders
where p_retailprice > 1100 and o_orderdate='1997-01-01' 
and o_orderkey=l_orderkey and p_partkey=l_partkey;
id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
1	SIMPLE	part	range	PRIMARY,i_p_retailprice	i_p_retailprice	9	NULL	1	Using index condition
1	SIMPLE	orders	ref	PRIMARY,i_o_orderdate	i_o_orderdate	4	const	1	
1	SIMPLE	lineitem	ref	PRIMARY,i_l_suppkey_partkey,i_l_partkey,i_l_orderkey,i_l_orderkey_quantity	i_l_orderkey	4	dbt3_s001.orders.o_orderkey	4	Using where
select o_orderkey, p_partkey
from part, lineitem, orders
where p_retailprice > 1100 and o_orderdate='1997-01-01' 
and o_orderkey=l_orderkey and p_partkey=l_partkey;
o_orderkey	p_partkey
5895	200
set optimizer_switch=@save_optimizer_switch;
DROP DATABASE dbt3_s001;
use test;
#
# Bug mdev-473: ANALYZE table locked for write
# 
set use_stat_tables='complementary';
create table t1 (i int);
lock table t1 write;
analyze table t1;
Table	Op	Msg_type	Msg_text
test.t1	analyze	status	Engine-independent statistics collected
test.t1	analyze	status	Table is already up to date
alter table t1 add column a varchar(8);
drop table t1;
#
# Bug mdev-487: memory leak in ANALYZE with stat tables
# 
SET  use_stat_tables = 'preferably';
CREATE TABLE t1 (a INT);
INSERT INTO t1 VALUES (1),(2);
DELETE FROM t1 WHERE a=1;
ANALYZE TABLE t1;
Table	Op	Msg_type	Msg_text
test.t1	analyze	status	Engine-independent statistics collected
test.t1	analyze	status	OK
DROP TABLE t1;
#
# Bug mdev-518: corrupted/missing statistical tables
# 
CREATE TABLE t1 (i int) ENGINE=MyISAM;
INSERT INTO t1 VALUES (1),(2);
FLUSH TABLE t1;
SET use_stat_tables='never';
EXPLAIN SELECT * FROM t1;
id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
1	SIMPLE	t1	ALL	NULL	NULL	NULL	NULL	2	
FLUSH TABLES;
SET use_stat_tables='preferably';
EXPLAIN SELECT * FROM t1;
id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
1	SIMPLE	t1	ALL	NULL	NULL	NULL	NULL	2	
DROP TABLE t1;
set use_stat_tables=@save_use_stat_tables;
#
# Bug mdev-5204: invalid impossible where after reading const tables  
#                when use_stat_tables = 'preferably'
#
set use_stat_tables = 'preferably';
CREATE TABLE t1 (id int PRIMARY KEY) ENGINE=MyISAM;
INSERT INTO t1 VALUES (1),(2);
ANALYZE TABLE t1;
Table	Op	Msg_type	Msg_text
test.t1	analyze	status	Engine-independent statistics collected
test.t1	analyze	status	OK
CREATE TABLE t2 (name char(3)) ENGINE=MyISAM;
ANALYZE TABLE t2;
Table	Op	Msg_type	Msg_text
test.t2	analyze	status	Engine-independent statistics collected
test.t2	analyze	status	Table is already up to date
INSERT INTO t2 VALUES ('USA'),('AUS');
SELECT * FROM t1 STRAIGHT_JOIN t2 WHERE name IN ( 'AUS','YEM' ) AND id = 1;
id	name
1	AUS
EXPLAIN
SELECT * FROM t1 STRAIGHT_JOIN t2 WHERE name IN ( 'AUS','YEM' ) AND id = 1;
id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
1	SIMPLE	t1	const	PRIMARY	PRIMARY	4	const	1	Using index
1	SIMPLE	t2	ALL	NULL	NULL	NULL	NULL	0	Using where
ANALYZE TABLE t2;
Table	Op	Msg_type	Msg_text
test.t2	analyze	status	Engine-independent statistics collected
test.t2	analyze	status	OK
SELECT * FROM t1 STRAIGHT_JOIN t2 WHERE name IN ( 'AUS','YEM' ) AND id = 1;
id	name
1	AUS
EXPLAIN
SELECT * FROM t1 STRAIGHT_JOIN t2 WHERE name IN ( 'AUS','YEM' ) AND id = 1;
id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
1	SIMPLE	t1	const	PRIMARY	PRIMARY	4	const	1	Using index
1	SIMPLE	t2	ALL	NULL	NULL	NULL	NULL	2	Using where
DROP TABLE t1,t2;
#
# MDEV-7370: Server deadlocks on renaming a table for which persistent statistics exists
#
drop database if exists db1;
drop database if exists db1;
create database db1;
create database db2;
use db1;
#
# First, run the original testcase:
#
create table t1 (i int);
insert into t1 values (10),(20);
analyze table t1 persistent for all;
Table	Op	Msg_type	Msg_text
db1.t1	analyze	status	Engine-independent statistics collected
db1.t1	analyze	status	OK
rename table t1 to db2.t1;
# Verify that stats in the old database are gone:
select * from mysql.column_stats where db_name='db1' and table_name='t1';
db_name	table_name	column_name	min_value	max_value	nulls_ratio	avg_length	avg_frequency	hist_size	hist_type	histogram
select * from mysql.table_stats where db_name='db1' and table_name='t1';
db_name	table_name	cardinality
# Verify that stats are present in the new database:
select * from mysql.column_stats where db_name='db2' and table_name='t1';
db_name	table_name	column_name	min_value	max_value	nulls_ratio	avg_length	avg_frequency	hist_size	hist_type	histogram
db2	t1	i	10	20	0.0000	4.0000	1.0000	0	NULL	NULL
select * from mysql.table_stats where db_name='db2' and table_name='t1';
db_name	table_name	cardinality
db2	t1	2
#
# Now, try with more than one column and with indexes:
#
use test;
create table t1(a int primary key);
insert into t1 values (0),(1),(2),(3),(4),(5),(6),(7),(8),(9);
use db1;
create table t2 (a int, b int, c int, key IDX1(a), key IDX2(a,b));
insert into t2 select a/10, a/2, a from test.t1;
analyze table t2 persistent for all;
Table	Op	Msg_type	Msg_text
db1.t2	analyze	status	Engine-independent statistics collected
db1.t2	analyze	status	Table is already up to date
alter table t2 rename db2.t2;
# Verify that stats in the old database are gone:
select * from mysql.table_stats where db_name='db1' and table_name='t2';
db_name	table_name	cardinality
select * from mysql.column_stats where db_name='db1' and table_name='t2';
db_name	table_name	column_name	min_value	max_value	nulls_ratio	avg_length	avg_frequency	hist_size	hist_type	histogram
select * from mysql.index_stats where db_name='db1' and table_name='t2';
db_name	table_name	index_name	prefix_arity	avg_frequency
# Verify that stats are present in the new database:
select * from mysql.table_stats where db_name='db2' and table_name='t2';
db_name	table_name	cardinality
db2	t2	10
select * from mysql.column_stats where db_name='db2' and table_name='t2';
db_name	table_name	column_name	min_value	max_value	nulls_ratio	avg_length	avg_frequency	hist_size	hist_type	histogram
db2	t2	a	0	1	0.0000	4.0000	5.0000	0	NULL	NULL
db2	t2	b	0	5	0.0000	4.0000	1.6667	0	NULL	NULL
db2	t2	c	0	9	0.0000	4.0000	1.0000	0	NULL	NULL
select * from mysql.index_stats where db_name='db2' and table_name='t2';
db_name	table_name	index_name	prefix_arity	avg_frequency
db2	t2	IDX1	1	5.0000
db2	t2	IDX2	1	5.0000
db2	t2	IDX2	2	1.6667
use db2;
#
# Now, rename within the same database and verify:
#
rename table t2 to t3;
# No stats under old name:
select * from mysql.table_stats where db_name='db2' and table_name='t2';
db_name	table_name	cardinality
select * from mysql.column_stats where db_name='db2' and table_name='t2';
db_name	table_name	column_name	min_value	max_value	nulls_ratio	avg_length	avg_frequency	hist_size	hist_type	histogram
select * from mysql.index_stats where db_name='db2' and table_name='t2';
db_name	table_name	index_name	prefix_arity	avg_frequency
# Stats under the new name:
select * from mysql.table_stats where db_name='db2' and table_name='t3';
db_name	table_name	cardinality
db2	t3	10
select * from mysql.column_stats where db_name='db2' and table_name='t3';
db_name	table_name	column_name	min_value	max_value	nulls_ratio	avg_length	avg_frequency	hist_size	hist_type	histogram
db2	t3	a	0	1	0.0000	4.0000	5.0000	0	NULL	NULL
db2	t3	b	0	5	0.0000	4.0000	1.6667	0	NULL	NULL
db2	t3	c	0	9	0.0000	4.0000	1.0000	0	NULL	NULL
select * from mysql.index_stats where db_name='db2' and table_name='t3';
db_name	table_name	index_name	prefix_arity	avg_frequency
db2	t3	IDX1	1	5.0000
db2	t3	IDX2	1	5.0000
db2	t3	IDX2	2	1.6667
use test;
drop database db1;
drop database db2;
drop table t1;
#
# MDEV-16552: [10.0] ASAN global-buffer-overflow in is_stat_table / statistics_for_tables_is_needed
#
SET use_stat_tables = PREFERABLY;
SELECT CONVERT_TZ( '1991-09-20 10:11:02', '+00:00', 'GMT' );
CONVERT_TZ( '1991-09-20 10:11:02', '+00:00', 'GMT' )
NULL
set use_stat_tables=@save_use_stat_tables;
#
# MDEV-16757: manual addition of min/max statistics for BLOB
#
SET use_stat_tables= PREFERABLY;
CREATE TABLE t1 (pk INT PRIMARY KEY, t TEXT);
INSERT INTO t1 VALUES (1,'foo'),(2,'bar');
ANALYZE TABLE t1;
Table	Op	Msg_type	Msg_text
test.t1	analyze	status	Engine-independent statistics collected
test.t1	analyze	Warning	Engine-independent statistics are not collected for column 't'
test.t1	analyze	status	OK
SELECT * FROM mysql.column_stats;
db_name	table_name	column_name	min_value	max_value	nulls_ratio	avg_length	avg_frequency	hist_size	hist_type	histogram
test	t1	pk	1	2	0.0000	4.0000	1.0000	0	NULL	NULL
DELETE FROM mysql.column_stats
WHERE db_name='test' AND table_name='t1' AND column_name='t';
INSERT INTO mysql.column_stats VALUES
('test','t1','t','bar','foo', 0.0, 3.0, 1.0, 0, NULL, NULL);
SELECT * FROM mysql.column_stats;
db_name	table_name	column_name	min_value	max_value	nulls_ratio	avg_length	avg_frequency	hist_size	hist_type	histogram
test	t1	pk	1	2	0.0000	4.0000	1.0000	0	NULL	NULL
test	t1	t	bar	foo	0.0000	3.0000	1.0000	0	NULL	NULL
SELECT pk FROM t1;
pk
1
2
DROP TABLE t1;
set use_stat_tables=@save_use_stat_tables;
#
# MDEV-16760: CREATE OR REPLACE TABLE after ANALYZE TABLE
#
SET use_stat_tables= PREFERABLY;
CREATE TABLE t1 (pk int PRIMARY KEY, c varchar(32));
INSERT INTO t1 VALUES (1,'foo'),(2,'bar');
ANALYZE TABLE t1;
Table	Op	Msg_type	Msg_text
test.t1	analyze	status	Engine-independent statistics collected
test.t1	analyze	status	OK
SELECT * FROM t1;
pk	c
1	foo
2	bar
SELECT * FROM mysql.column_stats;
db_name	table_name	column_name	min_value	max_value	nulls_ratio	avg_length	avg_frequency	hist_size	hist_type	histogram
test	t1	pk	1	2	0.0000	4.0000	1.0000	0	NULL	NULL
test	t1	c	bar	foo	0.0000	3.0000	1.0000	0	NULL	NULL
CREATE OR REPLACE TABLE t1 (pk int PRIMARY KEY, a char(7));
SELECT * FROM t1;
pk	a
SELECT * FROM mysql.column_stats;
db_name	table_name	column_name	min_value	max_value	nulls_ratio	avg_length	avg_frequency	hist_size	hist_type	histogram
DROP TABLE t1;
set use_stat_tables=@save_use_stat_tables;
#
# MDEV-17023: Crash during read_histogram_for_table with optimizer_use_condition_selectivity set to 4
#
set @save_optimizer_use_condition_selectivity=@@optimizer_use_condition_selectivity;
set @@optimizer_use_condition_selectivity=4;
set @@use_stat_tables= PREFERABLY;
explain
SELECT * FROM INFORMATION_SCHEMA.PROFILING, mysql.user;
id	select_type	table	type	possible_keys	key	key_len	ref	rows	Extra
1	SIMPLE	PROFILING	ALL	NULL	NULL	NULL	NULL	NULL	
1	SIMPLE	global_priv	ALL	NULL	NULL	NULL	NULL	5	Using join buffer (flat, BNL join)
set @@optimizer_use_condition_selectivity=@save_optimizer_use_condition_selectivity;
set use_stat_tables=@save_use_stat_tables;
#
# MDEV-17734: AddressSanitizer: use-after-poison in create_key_parts_for_pseudo_indexes
#
set @@use_stat_tables= PREFERABLY;
set @save_optimizer_use_condition_selectivity= @@optimizer_use_condition_selectivity;
set @@optimizer_use_condition_selectivity=4;
set @save_use_stat_tables= @@use_stat_tables;
create table t1 (a int, b int);
insert into t1(a,b) values (1,2),(1,3),(1,4),(1,5),(2,6),(2,7),(3,8),(3,9),(3,9),(4,10);
analyze table t1 persistent for columns (a) indexes ();
Table	Op	Msg_type	Msg_text
test.t1	analyze	status	Engine-independent statistics collected
test.t1	analyze	status	OK
select * from t1 where a=1 and b=3;
a	b
1	3
set @@optimizer_use_condition_selectivity= @save_optimizer_use_condition_selectivity;
set use_stat_tables=@save_use_stat_tables;
drop table t1;
#
# MDEV-16711:CREATE OR REPLACE TABLE introducing BLOB column
#
SET use_stat_tables= PREFERABLY;
CREATE TABLE t1 (pk INT PRIMARY KEY, t CHAR(60));
INSERT INTO t1 VALUES (1,'foo'),(2,'bar');
ANALYZE TABLE t1;
Table	Op	Msg_type	Msg_text
test.t1	analyze	status	Engine-independent statistics collected
test.t1	analyze	status	OK
CREATE OR REPLACE TABLE t1 (pk INT PRIMARY KEY, t TEXT);
SELECT MAX(pk) FROM t1;
MAX(pk)
NULL
DROP TABLE t1;
set use_stat_tables=@save_use_stat_tables;
#
# MDEV-17605: SHOW INDEXES with use_stat_tables='preferably'
#
set use_stat_tables='preferably';
CREATE DATABASE dbt3_s001;
use dbt3_s001;
set @save_optimizer_switch=@@optimizer_switch;
set optimizer_switch='extended_keys=off';
select * from mysql.table_stats;
db_name	table_name	cardinality
dbt3_s001	lineitem	6005
select * from mysql.index_stats;
db_name	table_name	index_name	prefix_arity	avg_frequency
dbt3_s001	lineitem	PRIMARY	1	4.0033
dbt3_s001	lineitem	PRIMARY	2	1.0000
dbt3_s001	lineitem	i_l_shipdate	1	2.6500
dbt3_s001	lineitem	i_l_suppkey_partkey	1	30.0250
dbt3_s001	lineitem	i_l_suppkey_partkey	2	8.5786
dbt3_s001	lineitem	i_l_partkey	1	30.0250
dbt3_s001	lineitem	i_l_suppkey	1	600.5000
dbt3_s001	lineitem	i_l_receiptdate	1	2.6477
dbt3_s001	lineitem	i_l_orderkey	1	4.0033
dbt3_s001	lineitem	i_l_orderkey_quantity	1	4.0033
dbt3_s001	lineitem	i_l_orderkey_quantity	2	1.0404
dbt3_s001	lineitem	i_l_commitdate	1	2.7160
SHOW INDEXES FROM lineitem;
Table	Non_unique	Key_name	Seq_in_index	Column_name	Collation	Cardinality	Sub_part	Packed	Null	Index_type	Comment	Index_comment
lineitem	0	PRIMARY	1	l_orderkey	A	1500	NULL	NULL		BTREE		
lineitem	0	PRIMARY	2	l_linenumber	A	6005	NULL	NULL		BTREE		
lineitem	1	i_l_shipdate	1	l_shipDATE	A	2266	NULL	NULL	YES	BTREE		
lineitem	1	i_l_suppkey_partkey	1	l_partkey	A	200	NULL	NULL	YES	BTREE		
lineitem	1	i_l_suppkey_partkey	2	l_suppkey	A	699	NULL	NULL	YES	BTREE		
lineitem	1	i_l_partkey	1	l_partkey	A	200	NULL	NULL	YES	BTREE		
lineitem	1	i_l_suppkey	1	l_suppkey	A	10	NULL	NULL	YES	BTREE		
lineitem	1	i_l_receiptdate	1	l_receiptDATE	A	2268	NULL	NULL	YES	BTREE		
lineitem	1	i_l_orderkey	1	l_orderkey	A	1500	NULL	NULL		BTREE		
lineitem	1	i_l_orderkey_quantity	1	l_orderkey	A	1500	NULL	NULL		BTREE		
lineitem	1	i_l_orderkey_quantity	2	l_quantity	A	5771	NULL	NULL	YES	BTREE		
lineitem	1	i_l_commitdate	1	l_commitDATE	A	2210	NULL	NULL	YES	BTREE		
SELECT * FROM INFORMATION_SCHEMA.STATISTICS WHERE table_name='lineitem';
TABLE_CATALOG	TABLE_SCHEMA	TABLE_NAME	NON_UNIQUE	INDEX_SCHEMA	INDEX_NAME	SEQ_IN_INDEX	COLUMN_NAME	COLLATION	CARDINALITY	SUB_PART	PACKED	NULLABLE	INDEX_TYPE	COMMENT	INDEX_COMMENT
def	dbt3_s001	lineitem	0	dbt3_s001	PRIMARY	1	l_orderkey	A	1500	NULL	NULL		BTREE		
def	dbt3_s001	lineitem	0	dbt3_s001	PRIMARY	2	l_linenumber	A	6005	NULL	NULL		BTREE		
def	dbt3_s001	lineitem	1	dbt3_s001	i_l_shipdate	1	l_shipDATE	A	2266	NULL	NULL	YES	BTREE		
def	dbt3_s001	lineitem	1	dbt3_s001	i_l_suppkey_partkey	1	l_partkey	A	200	NULL	NULL	YES	BTREE		
def	dbt3_s001	lineitem	1	dbt3_s001	i_l_suppkey_partkey	2	l_suppkey	A	699	NULL	NULL	YES	BTREE		
def	dbt3_s001	lineitem	1	dbt3_s001	i_l_partkey	1	l_partkey	A	200	NULL	NULL	YES	BTREE		
def	dbt3_s001	lineitem	1	dbt3_s001	i_l_suppkey	1	l_suppkey	A	10	NULL	NULL	YES	BTREE		
def	dbt3_s001	lineitem	1	dbt3_s001	i_l_receiptdate	1	l_receiptDATE	A	2268	NULL	NULL	YES	BTREE		
def	dbt3_s001	lineitem	1	dbt3_s001	i_l_orderkey	1	l_orderkey	A	1500	NULL	NULL		BTREE		
def	dbt3_s001	lineitem	1	dbt3_s001	i_l_orderkey_quantity	1	l_orderkey	A	1500	NULL	NULL		BTREE		
def	dbt3_s001	lineitem	1	dbt3_s001	i_l_orderkey_quantity	2	l_quantity	A	5771	NULL	NULL	YES	BTREE		
def	dbt3_s001	lineitem	1	dbt3_s001	i_l_commitdate	1	l_commitDATE	A	2210	NULL	NULL	YES	BTREE		
SELECT
COUNT(DISTINCT l_orderkey), COUNT(DISTINCT l_orderkey,l_linenumber),
COUNT(DISTINCT l_shipDATE),
COUNT(DISTINCT l_partkey), COUNT(DISTINCT l_partkey,l_suppkey),
COUNT(DISTINCT l_suppkey), COUNT(DISTINCT l_receiptDATE),
COUNT(DISTINCT l_orderkey, l_quantity), COUNT(DISTINCT l_commitDATE)
FROM lineitem;
COUNT(DISTINCT l_orderkey)	COUNT(DISTINCT l_orderkey,l_linenumber)	COUNT(DISTINCT l_shipDATE)	COUNT(DISTINCT l_partkey)	COUNT(DISTINCT l_partkey,l_suppkey)	COUNT(DISTINCT l_suppkey)	COUNT(DISTINCT l_receiptDATE)	COUNT(DISTINCT l_orderkey, l_quantity)	COUNT(DISTINCT l_commitDATE)
1500	6005	2266	200	700	10	2268	5772	2211
set optimizer_switch=@save_optimizer_switch;
DROP DATABASE dbt3_s001;
USE test;
delete from mysql.table_stats;
delete from mysql.column_stats;
delete from mysql.index_stats;
#
# MDEV-19352: Server crash in alloc_histograms_for_table_share upon query from information schema
#
use test;
set @save_optimizer_use_condition_selectivity= @@optimizer_use_condition_selectivity;
set @@optimizer_use_condition_selectivity= 4;
set use_stat_tables='preferably';
CREATE TABLE t1 (a INT);
CREATE TABLE t2 (b INT);
CREATE VIEW v AS SELECT * FROM t1 JOIN t2;
INSERT INTO t2 SELECT * FROM x;
ERROR 42S02: Table 'test.x' doesn't exist
select * from information_schema.tables where table_name='v';
TABLE_CATALOG	TABLE_SCHEMA	TABLE_NAME	TABLE_TYPE	ENGINE	VERSION	ROW_FORMAT	TABLE_ROWS	AVG_ROW_LENGTH	DATA_LENGTH	MAX_DATA_LENGTH	INDEX_LENGTH	DATA_FREE	AUTO_INCREMENT	CREATE_TIME	UPDATE_TIME	CHECK_TIME	TABLE_COLLATION	CHECKSUM	CREATE_OPTIONS	TABLE_COMMENT	MAX_INDEX_LENGTH	TEMPORARY
def	test	v	VIEW	NULL	NULL	NULL	NULL	NULL	NULL	NULL	NULL	NULL	NULL	NULL	NULL	NULL	NULL	NULL	NULL	VIEW	NULL	NULL
set @@optimizer_use_condition_selectivity= @save_optimizer_use_condition_selectivity;
drop table t1,t2;
drop view v;
#
# MDEV-19407: Assertion `field->table->stats_is_read' failed in is_eits_usable
#
set @save_optimizer_use_condition_selectivity= @@optimizer_use_condition_selectivity;
set @@optimizer_use_condition_selectivity= 1;
set @@use_stat_tables='never';
create table t1(pk int);
insert into t1 values (4),(3);
set @@optimizer_use_condition_selectivity= 4;
set use_stat_tables='preferably';
INSERT INTO t1 SELECT * FROM x;
ERROR 42S02: Table 'test.x' doesn't exist
CREATE TABLE t2 SELECT pk FROM t1 WHERE pk>2;
select * from t2;
pk
4
3
drop table t1,t2;
create table t1(a int,b int, key k1(a) );
insert into t1 values(1,1),(2,2),(3,3);
analyze table t1;
Table	Op	Msg_type	Msg_text
test.t1	analyze	status	Engine-independent statistics collected
test.t1	analyze	status	OK
select * from mysql.index_stats, t1 where index_name='k1' and t1.a > 1 and t1.b > 1;
db_name	table_name	index_name	prefix_arity	avg_frequency	a	b
test	t1	k1	1	1.0000	2	2
test	t1	k1	1	1.0000	3	3
drop table t1;
set @@optimizer_use_condition_selectivity= @save_optimizer_use_condition_selectivity;
set @save_optimizer_switch=@@optimizer_switch;
set use_stat_tables=@save_use_stat_tables;
#
# MDEV-18899: Server crashes in Field::set_warning_truncated_wrong_value
#
set names utf8;
set @save_optimizer_use_condition_selectivity=@@optimizer_use_condition_selectivity;
set optimizer_use_condition_selectivity=4;
set use_stat_tables=preferably;
set histogram_size=255;
create table t1 ( a varchar(255) character set utf8);
insert into t1 values (REPEAT('ӥ',255)), (REPEAT('ç',255));
analyze table t1;
Table	Op	Msg_type	Msg_text
test.t1	analyze	status	Engine-independent statistics collected
test.t1	analyze	status	OK
select HEX(RIGHT(min_value, 1)), length(min_value) from mysql.column_stats where db_name='test' and table_name='t1';
HEX(RIGHT(min_value, 1))	length(min_value)
A7	254
select HEX(RIGHT(max_value, 1)), length(max_value) from mysql.column_stats where db_name='test' and table_name='t1';
HEX(RIGHT(max_value, 1))	length(max_value)
A5	254
analyze select * from t1 where a  >= 'ӥ';
id	select_type	table	type	possible_keys	key	key_len	ref	rows	r_rows	filtered	r_filtered	Extra
1	SIMPLE	t1	ALL	NULL	NULL	NULL	NULL	2	2.00	50.00	50.00	Using where
set @save_sql_mode= @@sql_mode;
set sql_mode='ERROR_FOR_DIVISION_BY_ZERO,NO_AUTO_CREATE_USER,NO_ENGINE_SUBSTITUTION';
update mysql.column_stats set min_value= REPEAT('ӥ',255) where db_name='test' and table_name='t1';
Warnings:
Warning	1265	Data truncated for column 'min_value' at row 1
select HEX(RIGHT(min_value, 1)), length(min_value) from mysql.column_stats where db_name='test' and table_name='t1';
HEX(RIGHT(min_value, 1))	length(min_value)
D3	255
analyze select * from t1 where a  >= 'ӥ';
id	select_type	table	type	possible_keys	key	key_len	ref	rows	r_rows	filtered	r_filtered	Extra
1	SIMPLE	t1	ALL	NULL	NULL	NULL	NULL	2	2.00	50.00	50.00	Using where
set names latin1;
drop table t1;
CREATE TABLE t1 (col1 date);
INSERT INTO t1 VALUES('2004-01-01'),('2004-02-29');
INSERT INTO t1 VALUES('0000-10-31');
analyze table t1;
Table	Op	Msg_type	Msg_text
test.t1	analyze	status	Engine-independent statistics collected
test.t1	analyze	status	OK
update mysql.column_stats set min_value='2004-0-31123' where db_name='test' and table_name='t1';
select min_value from mysql.column_stats where db_name='test' and table_name='t1';
min_value
2004-0-31123
select * from t1;
col1
2004-01-01
2004-02-29
0000-10-31
set @@sql_mode= @save_sql_mode;
set @@use_stat_tables=@save_use_stat_tables;
set @@histogram_size= @save_histogram_size;
set @@histogram_type=@save_histogram_type;
set @@optimizer_use_condition_selectivity=@save_optimizer_use_condition_selectivity;
drop table t1;
#
# MDEV-20589: Server still crashes in Field::set_warning_truncated_wrong_value
#
set names utf8;
create table t1 ( a varchar(255) character set utf8);
insert into t1 values (REPEAT('ӥ',255)), (REPEAT('ç',255));
set use_stat_tables='preferably';
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 @save_sql_mode= @@sql_mode;
set sql_mode='ERROR_FOR_DIVISION_BY_ZERO,NO_AUTO_CREATE_USER,NO_ENGINE_SUBSTITUTION';
update mysql.column_stats set min_value= REPEAT('ӥ',256) where db_name='test' and table_name='t1';
Warnings:
Warning	1265	Data truncated for column 'min_value' at row 1
set @@sql_mode= @save_sql_mode;
select length(a) from t1 where a=REPEAT('ӥ',255);
length(a)
510
set names latin1;
set @@use_stat_tables=@save_use_stat_tables;
drop table t1;
#
# MDEV-23753: SIGSEGV in Column_stat::store_stat_fields
#
CREATE TABLE t1 (a INT, b INT) PARTITION BY HASH (b) PARTITIONS 2;
LOCK TABLES t1 WRITE;
ANALYZE TABLE t1 PERSISTENT FOR COLUMNS (a) INDEXES ();
Table	Op	Msg_type	Msg_text
test.t1	analyze	status	Engine-independent statistics collected
test.t1	analyze	status	OK
ANALYZE TABLE t1 PERSISTENT FOR COLUMNS (nonexisting) INDEXES (nonexisting);
Table	Op	Msg_type	Msg_text
test.t1	analyze	status	Engine-independent statistics collected
test.t1	analyze	error	Invalid argument
DROP TABLE t1;
# please keep this at the last
set @@global.histogram_size=@save_histogram_size;
# Start of 10.4 tests
set histogram_size=0;
#
# MDEV-17255: New optimizer defaults and ANALYZE TABLE
#
create table t1 (a int, b int);
insert into t1(a,b) values (1,2),(1,3),(1,4),(1,5),(2,6),(2,7),(3,8),(3,9),(3,9),(4,10);
set use_stat_tables= preferably_for_queries;
#
# with use_stat_tables= PREFERABLY_FOR_QUERIES
# analyze table t1 will not collect statistics
#
analyze table t1;
Table	Op	Msg_type	Msg_text
test.t1	analyze	status	OK
select * from mysql.column_stats;
db_name	table_name	column_name	min_value	max_value	nulls_ratio	avg_length	avg_frequency	hist_size	hist_type	histogram
analyze
select * from t1 where a = 1 and b=3;
id	select_type	table	type	possible_keys	key	key_len	ref	rows	r_rows	filtered	r_filtered	Extra
1	SIMPLE	t1	ALL	NULL	NULL	NULL	NULL	10	10.00	100.00	10.00	Using where
#
# with use_stat_tables= PREFERABLY_FOR_QUERIES
# analyze table t1 will  collect statistics if we use PERSISTENT
# for columns, indexes or everything
#
analyze table t1 persistent for columns (a) indexes ();
Table	Op	Msg_type	Msg_text
test.t1	analyze	status	Engine-independent statistics collected
test.t1	analyze	status	Table is already up to date
select * from mysql.column_stats;
db_name	table_name	column_name	min_value	max_value	nulls_ratio	avg_length	avg_frequency	hist_size	hist_type	histogram
test	t1	a	1	4	0.0000	4.0000	2.5000	0	NULL	NULL
# filtered shows that we used the data from stat tables
analyze
select * from t1 where a = 1 and b=3;
id	select_type	table	type	possible_keys	key	key_len	ref	rows	r_rows	filtered	r_filtered	Extra
1	SIMPLE	t1	ALL	NULL	NULL	NULL	NULL	10	10.00	25.00	10.00	Using where
#
# with use_stat_tables= PREFERABLY
# analyze table t1 will collect statistics
#
set use_stat_tables=PREFERABLY;
analyze table t1;
Table	Op	Msg_type	Msg_text
test.t1	analyze	status	Engine-independent statistics collected
test.t1	analyze	status	Table is already up to date
select * from mysql.column_stats;
db_name	table_name	column_name	min_value	max_value	nulls_ratio	avg_length	avg_frequency	hist_size	hist_type	histogram
test	t1	a	1	4	0.0000	4.0000	2.5000	0	NULL	NULL
test	t1	b	2	10	0.0000	4.0000	1.1111	0	NULL	NULL
# filtered shows that we used the data from stat tables
analyze
select * from t1 where a=1 and b=3;
id	select_type	table	type	possible_keys	key	key_len	ref	rows	r_rows	filtered	r_filtered	Extra
1	SIMPLE	t1	ALL	NULL	NULL	NULL	NULL	10	10.00	2.78	10.00	Using where
drop table t1;
set @@global.histogram_size=@save_histogram_size;
# End of 10.4 tests