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MDEV-18478 ANALYZE for statement should show selectivity of ICP, part#1
(Based on the original patch by Jason Cu) Part #1: - Add ha_handler_stats::{icp_attempts,icp_match}, make handler_index_cond_check() increment them. - ANALYZE FORMAT=JSON now prints r_icp_filtered based on these counters.
This commit is contained in:
Sergei Petrunia
@ -453,6 +453,7 @@ ANALYZE
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"r_table_time_ms": "REPLACED",
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"r_other_time_ms": "REPLACED",
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"r_engine_stats": REPLACED,
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"r_icp_filtered": 100,
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"filtered": 100,
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"r_filtered": 50,
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"index_condition": "t1.pk < 10",
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@ -1291,3 +1292,417 @@ ANALYZE
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}
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set join_cache_level=@tmp;
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drop table t10, t11;
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#
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# MDEV-18478: ANALYZE for statement should show selectivity of
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# pushed index condition
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#
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create table t12 (a int, b varchar(10), c int, index(a,b), index(c));
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create table t13 (a int not null primary key, b int, index(b));
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insert into t12(a,b,c) values (1,"abc",100),
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(2,"abd",200),(2,"bfd",300),(2,"efg",400),
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(3,"abc",410),(3,"def",420),(3,"ghi",430),(3,"jkl",440),
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(4,"abc",600),(4,"def",700),(4,"ghi",800),(4,"jkl",900);
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insert into t13(a,b) values(1,1),(2,2),(3,3),(4,4),(5,5);
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analyze table t12;
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Table Op Msg_type Msg_text
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test.t12 analyze status Engine-independent statistics collected
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test.t12 analyze status OK
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analyze table t13;
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Table Op Msg_type Msg_text
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test.t13 analyze status Engine-independent statistics collected
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test.t13 analyze status OK
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# eq key condition only, no pushed condition
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analyze format=json select * from t12 where t12.a=2;
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ANALYZE
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{
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"query_optimization": {
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"r_total_time_ms": "REPLACED"
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},
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"query_block": {
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"select_id": 1,
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"cost": "REPLACED",
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"r_loops": 1,
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"r_total_time_ms": "REPLACED",
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"nested_loop": [
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{
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"table": {
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"table_name": "t12",
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"access_type": "ref",
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"possible_keys": ["a"],
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"key": "a",
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"key_length": "5",
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"used_key_parts": ["a"],
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"ref": ["const"],
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"loops": 1,
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"r_loops": 1,
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"rows": 3,
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"r_rows": 3,
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"cost": "REPLACED",
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"r_table_time_ms": "REPLACED",
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"r_other_time_ms": "REPLACED",
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"r_engine_stats": REPLACED,
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"filtered": 100,
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"r_filtered": 100
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}
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}
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]
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}
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}
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# pushed index condition
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analyze format=json select * from t12 where t12.a=2 and t12.b like '%f%';
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ANALYZE
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{
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"query_optimization": {
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"r_total_time_ms": "REPLACED"
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},
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"query_block": {
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"select_id": 1,
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"cost": "REPLACED",
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"r_loops": 1,
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"r_total_time_ms": "REPLACED",
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"nested_loop": [
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{
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"table": {
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"table_name": "t12",
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"access_type": "ref",
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"possible_keys": ["a"],
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"key": "a",
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"key_length": "5",
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"used_key_parts": ["a"],
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"ref": ["const"],
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"loops": 1,
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"r_loops": 1,
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"rows": 3,
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"r_rows": 2,
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"cost": "REPLACED",
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"r_table_time_ms": "REPLACED",
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"r_other_time_ms": "REPLACED",
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"r_engine_stats": REPLACED,
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"r_icp_filtered": 66.66666667,
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"filtered": 100,
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"r_filtered": 100,
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"index_condition": "t12.b like '%f%'"
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}
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}
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]
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}
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}
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# rowid filter only, no pushed condition
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analyze format=json select * from t12 where t12.a=2 and t12.c
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between 400 and 500;
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ANALYZE
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{
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"query_optimization": {
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"r_total_time_ms": "REPLACED"
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},
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"query_block": {
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"select_id": 1,
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"cost": "REPLACED",
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"r_loops": 1,
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"r_total_time_ms": "REPLACED",
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"nested_loop": [
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{
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"table": {
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"table_name": "t12",
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"access_type": "ref",
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"possible_keys": ["a", "c"],
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"key": "a",
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"key_length": "5",
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"used_key_parts": ["a"],
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"ref": ["const"],
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"rowid_filter": {
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"range": {
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"key": "c",
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"used_key_parts": ["c"]
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},
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"rows": 5,
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"selectivity_pct": 41.66666667,
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"r_rows": 5,
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"r_lookups": 3,
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"r_selectivity_pct": 33.33333333,
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"r_buffer_size": "REPLACED",
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"r_filling_time_ms": "REPLACED"
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},
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"loops": 1,
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"r_loops": 1,
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"rows": 3,
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"r_rows": 1,
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"cost": "REPLACED",
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"r_table_time_ms": "REPLACED",
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"r_other_time_ms": "REPLACED",
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"r_engine_stats": REPLACED,
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"filtered": 41.66666794,
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"r_filtered": 100,
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"attached_condition": "t12.c between 400 and 500"
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}
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}
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]
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}
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}
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# pushed index condition and rowid filter
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analyze format=json select * from t12 where t12.a=2 and t12.c
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between 400 and 500 and t12.b like '%f%';
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ANALYZE
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{
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"query_optimization": {
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"r_total_time_ms": "REPLACED"
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},
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"query_block": {
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"select_id": 1,
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"cost": "REPLACED",
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"r_loops": 1,
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"r_total_time_ms": "REPLACED",
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"nested_loop": [
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{
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"table": {
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"table_name": "t12",
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"access_type": "ref",
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"possible_keys": ["a", "c"],
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"key": "a",
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"key_length": "5",
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"used_key_parts": ["a"],
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"ref": ["const"],
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"rowid_filter": {
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"range": {
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"key": "c",
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"used_key_parts": ["c"]
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},
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"rows": 5,
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"selectivity_pct": 41.66666667,
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"r_rows": 5,
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"r_lookups": 2,
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"r_selectivity_pct": 50,
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"r_buffer_size": "REPLACED",
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"r_filling_time_ms": "REPLACED"
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},
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"loops": 1,
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"r_loops": 1,
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"rows": 3,
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"r_rows": 1,
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"cost": "REPLACED",
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"r_table_time_ms": "REPLACED",
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"r_other_time_ms": "REPLACED",
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"r_engine_stats": REPLACED,
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"r_icp_filtered": 66.66666667,
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"filtered": 41.66666794,
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"r_filtered": 100,
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"index_condition": "t12.b like '%f%'",
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"attached_condition": "t12.c between 400 and 500"
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}
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}
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]
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}
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}
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# pushed index condition on the inner table (t12) of a join
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analyze format=json select * from t13,t12
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where t13.a between 1 and 2 and t12.a=t13.a and t12.b like '%f%';
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ANALYZE
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{
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"query_optimization": {
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"r_total_time_ms": "REPLACED"
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},
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"query_block": {
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"select_id": 1,
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"cost": "REPLACED",
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"r_loops": 1,
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"r_total_time_ms": "REPLACED",
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"nested_loop": [
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{
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"table": {
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"table_name": "t13",
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"access_type": "range",
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"possible_keys": ["PRIMARY"],
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"key": "PRIMARY",
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"key_length": "4",
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"used_key_parts": ["a"],
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"loops": 1,
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"r_loops": 1,
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"rows": 2,
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"r_rows": 2,
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"cost": "REPLACED",
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"r_table_time_ms": "REPLACED",
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"r_other_time_ms": "REPLACED",
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"r_engine_stats": REPLACED,
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"r_icp_filtered": 100,
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"filtered": 100,
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"r_filtered": 100,
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"index_condition": "t13.a between 1 and 2"
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}
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},
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{
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"table": {
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"table_name": "t12",
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"access_type": "ref",
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"possible_keys": ["a"],
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"key": "a",
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"key_length": "5",
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"used_key_parts": ["a"],
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"ref": ["test.t13.a"],
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"loops": 2,
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"r_loops": 2,
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"rows": 3,
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"r_rows": 1,
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"cost": "REPLACED",
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"r_table_time_ms": "REPLACED",
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"r_other_time_ms": "REPLACED",
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"r_engine_stats": REPLACED,
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"r_icp_filtered": 50,
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"filtered": 100,
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"r_filtered": 100,
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"index_condition": "t12.b like '%f%'"
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}
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}
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]
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}
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}
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# rowid filter on inner table of a join, no ICP
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analyze format=json select * from t13,t12 where t13.b between 1 and 2 and t12.a=t13.a and t12.c
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between 400 and 450;
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ANALYZE
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{
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"query_optimization": {
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"r_total_time_ms": "REPLACED"
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},
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"query_block": {
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"select_id": 1,
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"cost": "REPLACED",
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"r_loops": 1,
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"r_total_time_ms": "REPLACED",
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"nested_loop": [
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{
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"table": {
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"table_name": "t13",
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"access_type": "range",
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"possible_keys": ["PRIMARY", "b"],
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"key": "b",
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"key_length": "5",
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"used_key_parts": ["b"],
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"loops": 1,
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"r_loops": 1,
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"rows": 2,
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"r_rows": 2,
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"cost": "REPLACED",
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"r_table_time_ms": "REPLACED",
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"r_other_time_ms": "REPLACED",
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"r_engine_stats": REPLACED,
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"r_icp_filtered": 100,
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"filtered": 100,
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"r_filtered": 100,
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"index_condition": "t13.b between 1 and 2"
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}
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},
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{
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"table": {
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"table_name": "t12",
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"access_type": "ref",
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"possible_keys": ["a", "c"],
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"key": "a",
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"key_length": "5",
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"used_key_parts": ["a"],
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"ref": ["test.t13.a"],
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"rowid_filter": {
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"range": {
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"key": "c",
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"used_key_parts": ["c"]
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},
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"rows": 5,
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"selectivity_pct": 41.66666667,
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"r_rows": 5,
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"r_lookups": 4,
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"r_selectivity_pct": 25,
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"r_buffer_size": "REPLACED",
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"r_filling_time_ms": "REPLACED"
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},
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"loops": 2,
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"r_loops": 2,
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"rows": 3,
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"r_rows": 0.5,
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"cost": "REPLACED",
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"r_table_time_ms": "REPLACED",
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"r_other_time_ms": "REPLACED",
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"r_engine_stats": REPLACED,
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"filtered": 41.66666794,
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"r_filtered": 100,
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"attached_condition": "t12.c between 400 and 450"
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}
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}
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]
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}
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}
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# rowid filter and ICP on inner table of a join
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analyze format=json select * from t13,t12 where t13.b between 1 and 2 and t12.a=t13.a and t12.c
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between 400 and 450 and t12.b like '%f%';
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ANALYZE
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{
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"query_optimization": {
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"r_total_time_ms": "REPLACED"
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},
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"query_block": {
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"select_id": 1,
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"cost": "REPLACED",
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"r_loops": 1,
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"r_total_time_ms": "REPLACED",
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"nested_loop": [
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{
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"table": {
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"table_name": "t13",
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"access_type": "range",
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"possible_keys": ["PRIMARY", "b"],
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"key": "b",
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"key_length": "5",
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"used_key_parts": ["b"],
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"loops": 1,
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"r_loops": 1,
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"rows": 2,
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"r_rows": 2,
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"cost": "REPLACED",
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"r_table_time_ms": "REPLACED",
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"r_other_time_ms": "REPLACED",
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"r_engine_stats": REPLACED,
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"r_icp_filtered": 100,
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"filtered": 100,
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"r_filtered": 100,
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"index_condition": "t13.b between 1 and 2"
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}
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},
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{
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"table": {
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"table_name": "t12",
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"access_type": "ref",
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"possible_keys": ["a", "c"],
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"key": "a",
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"key_length": "5",
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"used_key_parts": ["a"],
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"ref": ["test.t13.a"],
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"rowid_filter": {
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"range": {
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"key": "c",
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"used_key_parts": ["c"]
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},
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"rows": 5,
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"selectivity_pct": 41.66666667,
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"r_rows": 5,
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"r_lookups": 2,
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"r_selectivity_pct": 50,
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"r_buffer_size": "REPLACED",
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"r_filling_time_ms": "REPLACED"
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},
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"loops": 2,
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"r_loops": 2,
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"rows": 3,
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"r_rows": 0.5,
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"cost": "REPLACED",
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"r_table_time_ms": "REPLACED",
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"r_other_time_ms": "REPLACED",
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"r_engine_stats": REPLACED,
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"r_icp_filtered": 50,
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"filtered": 41.66666794,
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"r_filtered": 100,
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"index_condition": "t12.b like '%f%'",
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"attached_condition": "t12.c between 400 and 450"
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}
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}
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]
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}
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}
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drop table t12,t13;
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