liyunzhang_intel created HIVE-17018: ---------------------------------------
Summary: Small table can not be converted to map join in TPC-DS/query.17 on 3TB data scale Key: HIVE-17018 URL: https://issues.apache.org/jira/browse/HIVE-17018 Project: Hive Issue Type: Bug Reporter: liyunzhang_intel Assignee: liyunzhang_intel we use "hive.auto.convert.join.noconditionaltask.size" as the threshold. it means the sum of size for n-1 of the tables/partitions for a n-way join is smaller than it, it will be converted to a map join. for example, A join B join C join D join E. Big table is A(100M), small tables are B(10M),C(10M),D(10M),E(10M). If we set hive.auto.convert.join.noconditionaltask.size=20M. In current code, E,D,B will be converted to map join but C will not be converted to map join. In my understanding, because hive.auto.convert.join.noconditionaltask.size can only contain E and D, so C and B should not be converted to map join. Let's explain more why E can be converted to map join. in current code, [SparkMapJoinOptimizer#getConnectedMapJoinSize|https://github.com/apache/hive/blob/master/ql/src/java/org/apache/hadoop/hive/ql/optimizer/spark/SparkMapJoinOptimizer.java#L364] calculates all the mapjoins in the parent path and child path. The search stops when encountering [UnionOperator or ReduceOperator|https://github.com/apache/hive/blob/master/ql/src/java/org/apache/hadoop/hive/ql/optimizer/spark/SparkMapJoinOptimizer.java#L381]. Because C is not converted to map join because {{connectedMapJoinSize + totalSize) > maxSize}} [see code|https://github.com/apache/hive/blob/master/ql/src/java/org/apache/hadoop/hive/ql/optimizer/spark/SparkMapJoinOptimizer.java#L330].The RS before the join of C remains. When calculating whether B will be converted to map join, {{getConnectedMapJoinSize}} returns 0 as encountering [RS |https://github.com/apache/hive/blob/master/ql/src/java/org/apache/hadoop/hive/ql/optimizer/spark/SparkMapJoinOptimizer.java#409] and causes {{connectedMapJoinSize + totalSize) < maxSize}} matches. [~xuefuz] or [~jxiang]: can you help see the problem as you are more familiar with SparkJoinOptimizer. -- This message was sent by Atlassian JIRA (v6.4.14#64029)