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0940a96940
Part#2, variant 2: Make the printed r_ values in JSON output consistent. After this patch, ANALYZE output has: - r_index_rows (NEW) - Observed number of rows before ICP or Rowid Filtering checks. This is a per-scan average. like r_rows and "rows" are. - r_rows (AS BEFORE) - Observed number of rows after ICP and Rowid Filtering. - r_icp_filtered (NEW) - Observed selectivity of ICP condition. - (AS BEFORE) observed selectivity of Rowid Filter is in $.rowid_filter.r_selectivity_pct - r_total_filtered - Observed combined selectivity: fraction of rows left after applying ICP condition, Rowid Filter, and attached_condition. This is now comparable with "filtered" and is printed right after it. - r_filtered (AS BEFORE) - Observed selectivity of "attached_condition". Tabular ANALYZE output is not changed. Note that JSON's r_filtered and r_rows have the same meanings as before and have the same meaning as in tabular output.
116 lines
2.7 KiB
Text
116 lines
2.7 KiB
Text
create table t2(a int);
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insert into t2 values (0),(1),(2),(3),(4),(5),(6),(7),(8),(9);
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create table t1 (
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a int not null
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) partition by key(a);
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insert into t1 select a from t2;
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explain partitions select * from t1 where a in (2,3,4);
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id select_type table partitions type possible_keys key key_len ref rows Extra
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1 SIMPLE t1 p0 ALL NULL NULL NULL NULL 10 Using where
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explain format=json select * from t1 where a in (2,3,4);
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EXPLAIN
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{
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"query_block": {
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"select_id": 1,
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"cost": "COST_REPLACED",
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"nested_loop": [
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{
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"table": {
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"table_name": "t1",
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"partitions": ["p0"],
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"access_type": "ALL",
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"loops": 1,
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"rows": 10,
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"cost": "COST_REPLACED",
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"filtered": 100,
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"attached_condition": "t1.a in (2,3,4)"
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}
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}
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]
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}
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}
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analyze format=json select * from t1 where a in (2,3,4);
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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": "t1",
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"partitions": ["p0"],
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"access_type": "ALL",
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"loops": 1,
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"r_loops": 1,
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"rows": 10,
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"r_rows": 10,
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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_total_filtered": 30,
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"attached_condition": "t1.a in (2,3,4)",
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"r_filtered": 30
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}
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}
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]
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}
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}
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analyze format=json update t1 set a=a+10 where a in (2,3,4);
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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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"r_total_time_ms": "REPLACED",
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"buffer": {
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"table": {
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"update": 1,
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"table_name": "t1",
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"partitions": ["p0"],
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"access_type": "ALL",
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"rows": 10,
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"r_rows": 10,
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"r_total_filtered": 30,
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"r_total_time_ms": "REPLACED",
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"r_engine_stats": REPLACED,
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"attached_condition": "t1.a in (2,3,4)",
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"r_filtered": 30
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}
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}
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}
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}
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analyze format=json delete from t1 where a in (20,30,40);
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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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"r_total_time_ms": "REPLACED",
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"table": {
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"delete": 1,
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"table_name": "t1",
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"partitions": ["p0"],
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"access_type": "ALL",
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"rows": 10,
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"r_rows": 10,
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"r_total_filtered": 0,
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"r_total_time_ms": "REPLACED",
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"r_engine_stats": REPLACED,
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"attached_condition": "t1.a in (20,30,40)",
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"r_filtered": 0
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}
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}
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}
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drop table t1,t2;
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