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15e889c300
The old code in prev_record_reads() did give wrong estimates when a join_buffer was used or if the table was depending on more than one other tables. When join_cache is used, it will cause a re-order of row combinations, which causes more calls to the engine for tables that are depending on tables before the join_cached one. The new prev_records_read() code provides more exact estimates and should never give a 'too low estimate', assuming that the data to the function is correct The definition of prev_record_read() is also updated. The new definition is: "Estimate the number of engine ha_index_read_calls for EQ_REF tables when taking into account the one-row-cache in join_read_always_key()" The cost of using prev_record_reads() value is changed. The value is now used similar as before to calculate the cost of the storage engine calls. However the cost of the WHERE cost is changed to take into account the total number of row combinations as the WHERE has to be checked even if the one-row-cache is used. This makes the cost slightly higher than before (for the same prev_record_reads() value). Other things: - Cached return value of prev_record_read() in best_access_path() to avoid some function calls. - Fixed bug where position[].use_join_buffer was set in best_acess_path() when join buffer was not used. This confused the semi join optimizer to try to reoptimize plans that did not need to be reoptimized. The effect of the bug fix is that we avoid doing some re-optimziations with semi-joins when join_buffer is not used. In these cases the value shown for the 'Filtering' column in EXPLAIN EXTENDED may change. - Added 'prev_record.cc' that was used to verify the logic in prev_record_reads(). Changes in test suite: - EQ_REF tables are moved up to be earlier. This is because either the higher WHERE cost when EQ_REF is used with more row combination or change of cost when using join_cache. - Filtered has changed (to the better) for some cases using semi-joins subselect_sj.test subselect_sj_jcl6.test
926 lines
41 KiB
Text
926 lines
41 KiB
Text
select @@global.use_stat_tables;
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@@global.use_stat_tables
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COMPLEMENTARY
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select @@session.use_stat_tables;
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@@session.use_stat_tables
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COMPLEMENTARY
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set @save_use_stat_tables=@@use_stat_tables;
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set @save_histogram_size=@@global.histogram_size;
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set @@global.histogram_size=0,@@local.histogram_size=0;
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set optimizer_use_condition_selectivity=4;
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set use_stat_tables='preferably';
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set @save_histogram_type=@@histogram_type;
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set histogram_type='single_prec_hb';
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DROP DATABASE IF EXISTS dbt3_s001;
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CREATE DATABASE dbt3_s001;
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use dbt3_s001;
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set @save_optimizer_switch=@@optimizer_switch;
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set optimizer_switch='extended_keys=off';
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select * from mysql.table_stats;
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db_name table_name cardinality
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dbt3_s001 customer 150
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dbt3_s001 lineitem 6005
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dbt3_s001 nation 25
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dbt3_s001 orders 1500
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dbt3_s001 part 200
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dbt3_s001 partsupp 700
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dbt3_s001 region 5
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dbt3_s001 supplier 10
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select * from mysql.index_stats;
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db_name table_name index_name prefix_arity avg_frequency
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dbt3_s001 customer PRIMARY 1 1.0000
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dbt3_s001 customer i_c_nationkey 1 6.0000
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dbt3_s001 lineitem PRIMARY 1 4.0033
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dbt3_s001 lineitem PRIMARY 2 1.0000
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dbt3_s001 lineitem i_l_shipdate 1 2.6500
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dbt3_s001 lineitem i_l_suppkey_partkey 1 30.0250
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dbt3_s001 lineitem i_l_suppkey_partkey 2 8.5786
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dbt3_s001 lineitem i_l_partkey 1 30.0250
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dbt3_s001 lineitem i_l_suppkey 1 600.5000
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dbt3_s001 lineitem i_l_receiptdate 1 2.6477
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dbt3_s001 lineitem i_l_orderkey 1 4.0033
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dbt3_s001 lineitem i_l_orderkey_quantity 1 4.0033
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dbt3_s001 lineitem i_l_orderkey_quantity 2 1.0404
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dbt3_s001 lineitem i_l_commitdate 1 2.7160
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dbt3_s001 nation PRIMARY 1 1.0000
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dbt3_s001 nation i_n_regionkey 1 5.0000
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dbt3_s001 orders PRIMARY 1 1.0000
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dbt3_s001 orders i_o_orderdate 1 1.3321
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dbt3_s001 orders i_o_custkey 1 15.0000
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dbt3_s001 part PRIMARY 1 1.0000
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dbt3_s001 part i_p_retailprice 1 1.0000
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dbt3_s001 partsupp PRIMARY 1 3.5000
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dbt3_s001 partsupp PRIMARY 2 1.0000
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dbt3_s001 partsupp i_ps_partkey 1 3.5000
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dbt3_s001 partsupp i_ps_suppkey 1 70.0000
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dbt3_s001 region PRIMARY 1 1.0000
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dbt3_s001 supplier PRIMARY 1 1.0000
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dbt3_s001 supplier i_s_nationkey 1 1.1111
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set optimizer_switch=@save_optimizer_switch;
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set @save_optimizer_switch=@@optimizer_switch;
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set optimizer_switch='index_condition_pushdown=off';
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EXPLAIN select n_name, sum(l_extendedprice * (1 - l_discount)) as revenue
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from customer, orders, lineitem, supplier, nation, region
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where c_custkey = o_custkey and l_orderkey = o_orderkey
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and l_suppkey = s_suppkey and c_nationkey = s_nationkey
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and s_nationkey = n_nationkey and n_regionkey = r_regionkey
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and r_name = 'AMERICA' and o_orderdate >= date '1995-01-01'
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and o_orderdate < date '1995-01-01' + interval '1' year
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group by n_name
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order by revenue desc;
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id select_type table type possible_keys key key_len ref rows Extra
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1 SIMPLE region ALL PRIMARY NULL NULL NULL 5 Using where; Using temporary; Using filesort
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1 SIMPLE nation ref PRIMARY,i_n_regionkey i_n_regionkey 5 dbt3_s001.region.r_regionkey 5
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1 SIMPLE supplier ref PRIMARY,i_s_nationkey i_s_nationkey 5 dbt3_s001.nation.n_nationkey 1
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1 SIMPLE customer ref PRIMARY,i_c_nationkey i_c_nationkey 5 dbt3_s001.nation.n_nationkey 6
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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
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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
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select n_name, sum(l_extendedprice * (1 - l_discount)) as revenue
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from customer, orders, lineitem, supplier, nation, region
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where c_custkey = o_custkey and l_orderkey = o_orderkey
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and l_suppkey = s_suppkey and c_nationkey = s_nationkey
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and s_nationkey = n_nationkey and n_regionkey = r_regionkey
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and r_name = 'AMERICA' and o_orderdate >= date '1995-01-01'
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and o_orderdate < date '1995-01-01' + interval '1' year
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group by n_name
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order by revenue desc;
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n_name revenue
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PERU 321915.87150000007
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ARGENTINA 69817.1451
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set optimizer_switch=@save_optimizer_switch;
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delete from mysql.index_stats;
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select * from mysql.table_stats;
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db_name table_name cardinality
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dbt3_s001 customer 150
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dbt3_s001 lineitem 6005
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dbt3_s001 nation 25
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dbt3_s001 orders 1500
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dbt3_s001 part 200
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dbt3_s001 partsupp 700
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dbt3_s001 region 5
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dbt3_s001 supplier 10
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select * from mysql.index_stats;
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db_name table_name index_name prefix_arity avg_frequency
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dbt3_s001 customer PRIMARY 1 1.0000
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dbt3_s001 customer i_c_nationkey 1 6.0000
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dbt3_s001 lineitem PRIMARY 1 4.0033
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dbt3_s001 lineitem PRIMARY 2 1.0000
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dbt3_s001 lineitem i_l_shipdate 1 2.6500
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dbt3_s001 lineitem i_l_suppkey_partkey 1 30.0250
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dbt3_s001 lineitem i_l_suppkey_partkey 2 8.5786
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dbt3_s001 lineitem i_l_partkey 1 30.0250
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dbt3_s001 lineitem i_l_suppkey 1 600.5000
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dbt3_s001 lineitem i_l_receiptdate 1 2.6477
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dbt3_s001 lineitem i_l_orderkey 1 4.0033
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dbt3_s001 lineitem i_l_orderkey_quantity 1 4.0033
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dbt3_s001 lineitem i_l_orderkey_quantity 2 1.0404
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dbt3_s001 lineitem i_l_commitdate 1 2.7160
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dbt3_s001 nation PRIMARY 1 1.0000
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dbt3_s001 nation i_n_regionkey 1 5.0000
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dbt3_s001 orders PRIMARY 1 1.0000
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dbt3_s001 orders i_o_orderdate 1 1.3321
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dbt3_s001 orders i_o_custkey 1 15.0000
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dbt3_s001 part PRIMARY 1 1.0000
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dbt3_s001 part i_p_retailprice 1 1.0000
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dbt3_s001 partsupp PRIMARY 1 3.5000
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dbt3_s001 partsupp PRIMARY 2 1.0000
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dbt3_s001 partsupp i_ps_partkey 1 3.5000
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dbt3_s001 partsupp i_ps_suppkey 1 70.0000
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dbt3_s001 region PRIMARY 1 1.0000
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dbt3_s001 supplier PRIMARY 1 1.0000
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dbt3_s001 supplier i_s_nationkey 1 1.1111
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select * from mysql.table_stats where table_name='orders';
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db_name table_name cardinality
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dbt3_s001 orders 1500
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select * from mysql.index_stats where table_name='orders';
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db_name table_name index_name prefix_arity avg_frequency
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dbt3_s001 orders PRIMARY 1 1.0000
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dbt3_s001 orders i_o_orderdate 1 1.3321
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dbt3_s001 orders i_o_custkey 1 15.0000
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select (select cardinality from mysql.table_stats where table_name='orders') /
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(select avg_frequency from mysql.index_stats
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where index_name='i_o_orderdate' and prefix_arity=1) as n_distinct;
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n_distinct
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1126.0416
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select count(distinct o_orderdate) from orders;
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count(distinct o_orderdate)
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1126
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select (select cardinality from mysql.table_stats where table_name='orders') /
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(select avg_frequency from mysql.index_stats
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where index_name='i_o_custkey' and prefix_arity=1) as n_distinct;
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n_distinct
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100.0000
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select count(distinct o_custkey) from orders;
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count(distinct o_custkey)
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100
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show index from orders;
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Table Non_unique Key_name Seq_in_index Column_name Collation Cardinality Sub_part Packed Null Index_type Comment Index_comment Ignored
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orders 0 PRIMARY 1 o_orderkey A 1500 NULL NULL BTREE NO
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orders 1 i_o_orderdate 1 o_orderDATE A 1126 NULL NULL YES BTREE NO
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orders 1 i_o_custkey 1 o_custkey A 100 NULL NULL YES BTREE NO
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select index_name, column_name, cardinality from information_schema.statistics
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where table_name='orders';
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index_name column_name cardinality
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PRIMARY o_orderkey 1500
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i_o_orderdate o_orderDATE 1126
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i_o_custkey o_custkey 100
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set @save_optimizer_switch=@@optimizer_switch;
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set optimizer_switch='index_condition_pushdown=off';
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EXPLAIN select n_name, sum(l_extendedprice * (1 - l_discount)) as revenue
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from customer, orders, lineitem, supplier, nation, region
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where c_custkey = o_custkey and l_orderkey = o_orderkey
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and l_suppkey = s_suppkey and c_nationkey = s_nationkey
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and s_nationkey = n_nationkey and n_regionkey = r_regionkey
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and r_name = 'AMERICA' and o_orderdate >= date '1995-01-01'
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and o_orderdate < date '1995-01-01' + interval '1' year
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group by n_name
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order by revenue desc;
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id select_type table type possible_keys key key_len ref rows Extra
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1 SIMPLE region ALL PRIMARY NULL NULL NULL 5 Using where; Using temporary; Using filesort
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1 SIMPLE nation ref PRIMARY,i_n_regionkey i_n_regionkey 5 dbt3_s001.region.r_regionkey 5
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1 SIMPLE supplier ref PRIMARY,i_s_nationkey i_s_nationkey 5 dbt3_s001.nation.n_nationkey 1
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1 SIMPLE customer ref PRIMARY,i_c_nationkey i_c_nationkey 5 dbt3_s001.nation.n_nationkey 6
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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
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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
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select n_name, sum(l_extendedprice * (1 - l_discount)) as revenue
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from customer, orders, lineitem, supplier, nation, region
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where c_custkey = o_custkey and l_orderkey = o_orderkey
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and l_suppkey = s_suppkey and c_nationkey = s_nationkey
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and s_nationkey = n_nationkey and n_regionkey = r_regionkey
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and r_name = 'AMERICA' and o_orderdate >= date '1995-01-01'
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and o_orderdate < date '1995-01-01' + interval '1' year
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group by n_name
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order by revenue desc;
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n_name revenue
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PERU 321915.87150000007
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ARGENTINA 69817.1451
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set optimizer_switch=@save_optimizer_switch;
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EXPLAIN select o_year,
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sum(case when nation = 'UNITED STATES' then volume else 0 end) /
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sum(volume) as mkt_share
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from (select extract(year from o_orderdate) as o_year,
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l_extendedprice * (1-l_discount) as volume,
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n2.n_name as nation
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from part, supplier, lineitem, orders, customer,
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nation n1, nation n2, region
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where p_partkey = l_partkey and s_suppkey = l_suppkey
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and l_orderkey = o_orderkey and o_custkey = c_custkey
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and c_nationkey = n1.n_nationkey and n1.n_regionkey = r_regionkey
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and r_name = 'AMERICA' and s_nationkey = n2.n_nationkey
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and o_orderdate between date '1995-01-01' and date '1996-12-31'
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and p_type = 'STANDARD BRUSHED STEEL' ) as all_nations
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group by o_year
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order by o_year;
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id select_type table type possible_keys key key_len ref rows Extra
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1 SIMPLE region ALL PRIMARY NULL NULL NULL 5 Using where; Using temporary; Using filesort
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1 SIMPLE part ALL PRIMARY NULL NULL NULL 200 Using where; Using join buffer (flat, BNL join)
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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 5 dbt3_s001.part.p_partkey 30 Using index condition
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1 SIMPLE supplier eq_ref PRIMARY,i_s_nationkey PRIMARY 4 dbt3_s001.lineitem.l_suppkey 1 Using where
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1 SIMPLE n2 eq_ref PRIMARY PRIMARY 4 dbt3_s001.supplier.s_nationkey 1
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1 SIMPLE orders eq_ref PRIMARY,i_o_orderdate,i_o_custkey PRIMARY 4 dbt3_s001.lineitem.l_orderkey 1 Using where
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1 SIMPLE customer eq_ref PRIMARY,i_c_nationkey PRIMARY 4 dbt3_s001.orders.o_custkey 1 Using where
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1 SIMPLE n1 eq_ref PRIMARY,i_n_regionkey PRIMARY 4 dbt3_s001.customer.c_nationkey 1 Using where
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select o_year,
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sum(case when nation = 'UNITED STATES' then volume else 0 end) /
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sum(volume) as mkt_share
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from (select extract(year from o_orderdate) as o_year,
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l_extendedprice * (1-l_discount) as volume,
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n2.n_name as nation
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from part, supplier, lineitem, orders, customer,
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nation n1, nation n2, region
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where p_partkey = l_partkey and s_suppkey = l_suppkey
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and l_orderkey = o_orderkey and o_custkey = c_custkey
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and c_nationkey = n1.n_nationkey and n1.n_regionkey = r_regionkey
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and r_name = 'AMERICA' and s_nationkey = n2.n_nationkey
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and o_orderdate between date '1995-01-01' and date '1996-12-31'
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and p_type = 'STANDARD BRUSHED STEEL' ) as all_nations
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group by o_year
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order by o_year;
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o_year mkt_share
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1995 0.4495521838895718
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1996 0.024585468215352495
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EXPLAIN select nation, o_year, sum(amount) as sum_profit
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from (select n_name as nation,
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extract(year from o_orderdate) as o_year,
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l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity as amount
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from part, supplier, lineitem, partsupp, orders, nation
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where s_suppkey = l_suppkey and ps_suppkey = l_suppkey
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and ps_partkey = l_partkey and p_partkey = l_partkey
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and o_orderkey = l_orderkey and s_nationkey = n_nationkey
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and p_name like '%green%') as profit
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group by nation, o_year
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order by nation, o_year desc;
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id select_type table type possible_keys key key_len ref rows Extra
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1 SIMPLE supplier ALL PRIMARY,i_s_nationkey NULL NULL NULL 10 Using where; Using temporary; Using filesort
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1 SIMPLE nation eq_ref PRIMARY PRIMARY 4 dbt3_s001.supplier.s_nationkey 1
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1 SIMPLE partsupp ref PRIMARY,i_ps_partkey,i_ps_suppkey i_ps_suppkey 4 dbt3_s001.supplier.s_suppkey 70
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1 SIMPLE part eq_ref PRIMARY PRIMARY 4 dbt3_s001.partsupp.ps_partkey 1 Using where
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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
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1 SIMPLE orders eq_ref PRIMARY PRIMARY 4 dbt3_s001.lineitem.l_orderkey 1
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EXPLAIN EXTENDED select nation, o_year, sum(amount) as sum_profit
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from (select n_name as nation,
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extract(year from o_orderdate) as o_year,
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l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity as amount
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from part, supplier, lineitem, partsupp, orders, nation
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where s_suppkey = l_suppkey and ps_suppkey = l_suppkey
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and ps_partkey = l_partkey and p_partkey = l_partkey
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and o_orderkey = l_orderkey and s_nationkey = n_nationkey
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and p_name like '%green%') as profit
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group by nation, o_year
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order by nation, o_year desc;
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id select_type table type possible_keys key key_len ref rows filtered Extra
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1 SIMPLE supplier ALL PRIMARY,i_s_nationkey NULL NULL NULL 10 100.00 Using where; Using temporary; Using filesort
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1 SIMPLE nation eq_ref PRIMARY PRIMARY 4 dbt3_s001.supplier.s_nationkey 1 100.00
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1 SIMPLE partsupp ref PRIMARY,i_ps_partkey,i_ps_suppkey i_ps_suppkey 4 dbt3_s001.supplier.s_suppkey 70 100.00
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1 SIMPLE part eq_ref PRIMARY PRIMARY 4 dbt3_s001.partsupp.ps_partkey 1 100.00 Using where
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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 8 100.00
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1 SIMPLE orders eq_ref PRIMARY PRIMARY 4 dbt3_s001.lineitem.l_orderkey 1 100.00
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Warnings:
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Note 1003 select `dbt3_s001`.`nation`.`n_name` AS `nation`,extract(year from `dbt3_s001`.`orders`.`o_orderDATE`) AS `o_year`,sum(`dbt3_s001`.`lineitem`.`l_extendedprice` * (1 - `dbt3_s001`.`lineitem`.`l_discount`) - `dbt3_s001`.`partsupp`.`ps_supplycost` * `dbt3_s001`.`lineitem`.`l_quantity`) AS `sum_profit` from `dbt3_s001`.`part` join `dbt3_s001`.`supplier` join `dbt3_s001`.`lineitem` join `dbt3_s001`.`partsupp` join `dbt3_s001`.`orders` join `dbt3_s001`.`nation` where `dbt3_s001`.`partsupp`.`ps_suppkey` = `dbt3_s001`.`supplier`.`s_suppkey` and `dbt3_s001`.`lineitem`.`l_suppkey` = `dbt3_s001`.`supplier`.`s_suppkey` and `dbt3_s001`.`part`.`p_partkey` = `dbt3_s001`.`partsupp`.`ps_partkey` and `dbt3_s001`.`lineitem`.`l_partkey` = `dbt3_s001`.`partsupp`.`ps_partkey` and `dbt3_s001`.`orders`.`o_orderkey` = `dbt3_s001`.`lineitem`.`l_orderkey` and `dbt3_s001`.`nation`.`n_nationkey` = `dbt3_s001`.`supplier`.`s_nationkey` and `dbt3_s001`.`part`.`p_name` like '%green%' group by `dbt3_s001`.`nation`.`n_name`,extract(year from `dbt3_s001`.`orders`.`o_orderDATE`) desc order by `dbt3_s001`.`nation`.`n_name`,extract(year from `dbt3_s001`.`orders`.`o_orderDATE`) desc
|
|
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 PRIMARY 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 1 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 global_priv ALL NULL NULL NULL NULL 5
|
|
1 SIMPLE PROFILING ALL NULL NULL NULL NULL NULL 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 Ignored
|
|
lineitem 0 PRIMARY 1 l_orderkey A 1500 NULL NULL BTREE NO
|
|
lineitem 0 PRIMARY 2 l_linenumber A 6005 NULL NULL BTREE NO
|
|
lineitem 1 i_l_shipdate 1 l_shipDATE A 2266 NULL NULL YES BTREE NO
|
|
lineitem 1 i_l_suppkey_partkey 1 l_partkey A 200 NULL NULL YES BTREE NO
|
|
lineitem 1 i_l_suppkey_partkey 2 l_suppkey A 699 NULL NULL YES BTREE NO
|
|
lineitem 1 i_l_partkey 1 l_partkey A 200 NULL NULL YES BTREE NO
|
|
lineitem 1 i_l_suppkey 1 l_suppkey A 10 NULL NULL YES BTREE NO
|
|
lineitem 1 i_l_receiptdate 1 l_receiptDATE A 2268 NULL NULL YES BTREE NO
|
|
lineitem 1 i_l_orderkey 1 l_orderkey A 1500 NULL NULL BTREE NO
|
|
lineitem 1 i_l_orderkey_quantity 1 l_orderkey A 1500 NULL NULL BTREE NO
|
|
lineitem 1 i_l_orderkey_quantity 2 l_quantity A 5771 NULL NULL YES BTREE NO
|
|
lineitem 1 i_l_commitdate 1 l_commitDATE A 2210 NULL NULL YES BTREE NO
|
|
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 IGNORED
|
|
def dbt3_s001 lineitem 0 dbt3_s001 PRIMARY 1 l_orderkey A 1500 NULL NULL BTREE NO
|
|
def dbt3_s001 lineitem 0 dbt3_s001 PRIMARY 2 l_linenumber A 6005 NULL NULL BTREE NO
|
|
def dbt3_s001 lineitem 1 dbt3_s001 i_l_shipdate 1 l_shipDATE A 2266 NULL NULL YES BTREE NO
|
|
def dbt3_s001 lineitem 1 dbt3_s001 i_l_suppkey_partkey 1 l_partkey A 200 NULL NULL YES BTREE NO
|
|
def dbt3_s001 lineitem 1 dbt3_s001 i_l_suppkey_partkey 2 l_suppkey A 699 NULL NULL YES BTREE NO
|
|
def dbt3_s001 lineitem 1 dbt3_s001 i_l_partkey 1 l_partkey A 200 NULL NULL YES BTREE NO
|
|
def dbt3_s001 lineitem 1 dbt3_s001 i_l_suppkey 1 l_suppkey A 10 NULL NULL YES BTREE NO
|
|
def dbt3_s001 lineitem 1 dbt3_s001 i_l_receiptdate 1 l_receiptDATE A 2268 NULL NULL YES BTREE NO
|
|
def dbt3_s001 lineitem 1 dbt3_s001 i_l_orderkey 1 l_orderkey A 1500 NULL NULL BTREE NO
|
|
def dbt3_s001 lineitem 1 dbt3_s001 i_l_orderkey_quantity 1 l_orderkey A 1500 NULL NULL BTREE NO
|
|
def dbt3_s001 lineitem 1 dbt3_s001 i_l_orderkey_quantity 2 l_quantity A 5771 NULL NULL YES BTREE NO
|
|
def dbt3_s001 lineitem 1 dbt3_s001 i_l_commitdate 1 l_commitDATE A 2210 NULL NULL YES BTREE NO
|
|
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
|