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ASF GitHub Bot logged work on HIVE-26524: ----------------------------------------- Author: ASF GitHub Bot Created on: 05/Oct/22 20:05 Start Date: 05/Oct/22 20:05 Worklog Time Spent: 10m Work Description: kasakrisz commented on code in PR #3588: URL: https://github.com/apache/hive/pull/3588#discussion_r985791359 ########## ql/src/test/results/clientpositive/llap/auto_join21.q.out: ########## @@ -43,37 +45,38 @@ STAGE PLANS: outputColumnNames: _col0, _col1, _col2, _col3 input vertices: 1 Map 2 - Statistics: Num rows: 1 Data size: 356 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 55 Data size: 19580 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator key expressions: _col2 (type: string) null sort order: z sort order: + Map-reduce partition columns: _col2 (type: string) - Statistics: Num rows: 1 Data size: 356 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 55 Data size: 19580 Basic stats: COMPLETE Column stats: COMPLETE value expressions: _col0 (type: string), _col1 (type: string), _col3 (type: string) Execution mode: vectorized, llap LLAP IO: all inputs Map 2 Map Operator Tree: TableScan alias: src2 + filterExpr: ((UDFToDouble(key) > 9.0D) and (UDFToDouble(key) < 11.0D)) (type: boolean) Statistics: Num rows: 500 Data size: 89000 Basic stats: COMPLETE Column stats: COMPLETE - Limit - Number of rows: 0 - Statistics: Num rows: 1 Data size: 178 Basic stats: COMPLETE Column stats: COMPLETE + Filter Operator + predicate: ((UDFToDouble(key) > 9.0D) and (UDFToDouble(key) < 11.0D)) (type: boolean) + Statistics: Num rows: 55 Data size: 9790 Basic stats: COMPLETE Column stats: COMPLETE Review Comment: Added comments to the jira. ########## ql/src/test/queries/clientpositive/antijoin.q: ########## @@ -44,7 +44,7 @@ explain cbo select a.key, a.value from t1_n55 a left join t2_n33 b on a.key=b.ke select a.key, a.value from t1_n55 a left join t2_n33 b on a.key=b.key join t3_n12 c on a.key=c.key where b.key is null sort by a.key, a.value; Issue Time Tracking ------------------- Worklog Id: (was: 814068) Time Spent: 6h 20m (was: 6h 10m) > Use Calcite to remove sections of a query plan known never produces rows > ------------------------------------------------------------------------ > > Key: HIVE-26524 > URL: https://issues.apache.org/jira/browse/HIVE-26524 > Project: Hive > Issue Type: Improvement > Components: CBO > Reporter: Krisztian Kasa > Assignee: Krisztian Kasa > Priority: Major > Labels: pull-request-available > Time Spent: 6h 20m > Remaining Estimate: 0h > > Calcite has a set of rules to remove sections of a query plan known never > produces any rows. In some cases the whole plan can be removed. Such plans > are represented with a single {{Values}} operators with no tuples. ex.: > {code:java} > select y + 1 from (select a1 y, b1 z from t1 where b1 > 10) q WHERE 1=0 > {code} > {code:java} > HiveValues(tuples=[[]]) > {code} > Other cases when plan has outer join or set operators some branches can be > replaced with empty values moving forward in some cases the join/set operator > can be removed > {code:java} > select a2, b2 from t2 where 1=0 > union > select a1, b1 from t1 > {code} > {code:java} > HiveAggregate(group=[{0, 1}]) > HiveTableScan(table=[[default, t1]], table:alias=[t1]) > {code} -- This message was sent by Atlassian Jira (v8.20.10#820010)