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ASF GitHub Bot logged work on HIVE-26524: ----------------------------------------- Author: ASF GitHub Bot Created on: 22/Sep/22 15:25 Start Date: 22/Sep/22 15:25 Worklog Time Spent: 10m Work Description: kasakrisz commented on code in PR #3588: URL: https://github.com/apache/hive/pull/3588#discussion_r977796570 ########## ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/translator/ASTConverter.java: ########## @@ -121,7 +127,83 @@ public static ASTNode convert(final RelNode relNode, List<FieldSchema> resultSch return c.convert(); } + // TOK_QUERY + // TOK_INSERT + // TOK_DESTINATION + // TOK_DIR + // TOK_TMP_FILE + // TOK_SELECT + // TOK_SELEXPR + // TOK_FUNCTION + // TOK_<type> + // TOK_NULL + // alias0 + // ... + // TOK_SELEXPR + // TOK_FUNCTION + // TOK_<type> + // TOK_NULL + // aliasn + // TOK_LIMIT + // 0 + // 0 + private static ASTNode emptyPlan(RelDataType dataType) { Review Comment: Added UT. Issue Time Tracking ------------------- Worklog Id: (was: 811279) Time Spent: 3h 10m (was: 3h) > 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: 3h 10m > 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)