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https://issues.apache.org/jira/browse/HIVE-23716?focusedWorklogId=463337&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-463337
 ]

ASF GitHub Bot logged work on HIVE-23716:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 26/Jul/20 12:03
            Start Date: 26/Jul/20 12:03
    Worklog Time Spent: 10m 
      Work Description: maheshk114 commented on a change in pull request #1147:
URL: https://github.com/apache/hive/pull/1147#discussion_r460518799



##########
File path: 
ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/HiveJoinWithFilterToAntiJoinRule.java
##########
@@ -0,0 +1,149 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.hadoop.hive.ql.optimizer.calcite.rules;
+
+import org.apache.calcite.plan.RelOptRule;
+import org.apache.calcite.plan.RelOptRuleCall;
+import org.apache.calcite.plan.RelOptUtil;
+import org.apache.calcite.rel.RelNode;
+import org.apache.calcite.rel.core.Filter;
+import org.apache.calcite.rel.core.Join;
+import org.apache.calcite.rel.core.JoinRelType;
+import org.apache.calcite.rel.core.Project;
+import org.apache.calcite.rel.type.RelDataTypeField;
+import org.apache.calcite.rex.RexInputRef;
+import org.apache.calcite.rex.RexNode;
+import org.apache.calcite.sql.SqlKind;
+import org.apache.calcite.util.ImmutableBitSet;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.util.ArrayList;
+import java.util.List;
+
+/**
+ * Planner rule that converts a join plus filter to anti join.
+ */
+public class HiveJoinWithFilterToAntiJoinRule extends RelOptRule {
+  protected static final Logger LOG = 
LoggerFactory.getLogger(HiveJoinWithFilterToAntiJoinRule.class);
+  public static final HiveJoinWithFilterToAntiJoinRule INSTANCE = new 
HiveJoinWithFilterToAntiJoinRule();
+
+  //    HiveProject(fld=[$0])
+  //      HiveFilter(condition=[IS NULL($1)])
+  //        HiveJoin(condition=[=($0, $1)], joinType=[left], algorithm=[none], 
cost=[not available])
+  //
+  // TO
+  //
+  //    HiveProject(fld_tbl=[$0])
+  //      HiveAntiJoin(condition=[=($0, $1)], joinType=[anti])
+  //
+  public HiveJoinWithFilterToAntiJoinRule() {
+    super(operand(Project.class, operand(Filter.class, operand(Join.class, 
RelOptRule.any()))),
+            "HiveJoinWithFilterToAntiJoinRule:filter");
+  }
+
+  // is null filter over a left join.
+  public void onMatch(final RelOptRuleCall call) {
+    final Project project = call.rel(0);
+    final Filter filter = call.rel(1);
+    final Join join = call.rel(2);
+    perform(call, project, filter, join);
+  }
+
+  protected void perform(RelOptRuleCall call, Project project, Filter filter, 
Join join) {
+    LOG.debug("Matched HiveAntiJoinRule");
+
+    if (join.getCondition().isAlwaysTrue()) {
+      return;
+    }
+
+    //We support conversion from left outer join only.
+    if (join.getJoinType() != JoinRelType.LEFT) {
+      return;
+    }
+
+    assert (filter != null);
+
+    List<RexNode> aboveFilters = 
RelOptUtil.conjunctions(filter.getCondition());
+    boolean hasIsNull = false;
+
+    // Get all filter condition and check if any of them is a "is null" kind.
+    for (RexNode filterNode : aboveFilters) {
+      if (filterNode.getKind() == SqlKind.IS_NULL &&
+              isFilterFromRightSide(join, filterNode, join.getJoinType())) {
+        hasIsNull = true;
+        break;
+      }
+    }
+
+    // Is null should be on a key from right side of the join.
+    if (!hasIsNull) {
+      return;
+    }
+
+    // Build anti join with same left, right child and condition as original 
left outer join.
+    Join anti = join.copy(join.getTraitSet(), join.getCondition(),
+            join.getLeft(), join.getRight(), JoinRelType.ANTI, false);
+
+    //TODO : Do we really need it
+    call.getPlanner().onCopy(join, anti);
+
+    RelNode newProject = getNewProjectNode(project, anti);
+    if (newProject != null) {
+      call.getPlanner().onCopy(project, newProject);

Review comment:
       done

##########
File path: 
ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/HiveJoinWithFilterToAntiJoinRule.java
##########
@@ -0,0 +1,149 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.hadoop.hive.ql.optimizer.calcite.rules;
+
+import org.apache.calcite.plan.RelOptRule;
+import org.apache.calcite.plan.RelOptRuleCall;
+import org.apache.calcite.plan.RelOptUtil;
+import org.apache.calcite.rel.RelNode;
+import org.apache.calcite.rel.core.Filter;
+import org.apache.calcite.rel.core.Join;
+import org.apache.calcite.rel.core.JoinRelType;
+import org.apache.calcite.rel.core.Project;
+import org.apache.calcite.rel.type.RelDataTypeField;
+import org.apache.calcite.rex.RexInputRef;
+import org.apache.calcite.rex.RexNode;
+import org.apache.calcite.sql.SqlKind;
+import org.apache.calcite.util.ImmutableBitSet;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.util.ArrayList;
+import java.util.List;
+
+/**
+ * Planner rule that converts a join plus filter to anti join.
+ */
+public class HiveJoinWithFilterToAntiJoinRule extends RelOptRule {
+  protected static final Logger LOG = 
LoggerFactory.getLogger(HiveJoinWithFilterToAntiJoinRule.class);
+  public static final HiveJoinWithFilterToAntiJoinRule INSTANCE = new 
HiveJoinWithFilterToAntiJoinRule();
+
+  //    HiveProject(fld=[$0])
+  //      HiveFilter(condition=[IS NULL($1)])
+  //        HiveJoin(condition=[=($0, $1)], joinType=[left], algorithm=[none], 
cost=[not available])
+  //
+  // TO
+  //
+  //    HiveProject(fld_tbl=[$0])
+  //      HiveAntiJoin(condition=[=($0, $1)], joinType=[anti])
+  //
+  public HiveJoinWithFilterToAntiJoinRule() {
+    super(operand(Project.class, operand(Filter.class, operand(Join.class, 
RelOptRule.any()))),
+            "HiveJoinWithFilterToAntiJoinRule:filter");
+  }
+
+  // is null filter over a left join.
+  public void onMatch(final RelOptRuleCall call) {
+    final Project project = call.rel(0);
+    final Filter filter = call.rel(1);
+    final Join join = call.rel(2);
+    perform(call, project, filter, join);
+  }
+
+  protected void perform(RelOptRuleCall call, Project project, Filter filter, 
Join join) {
+    LOG.debug("Matched HiveAntiJoinRule");
+
+    if (join.getCondition().isAlwaysTrue()) {
+      return;
+    }
+
+    //We support conversion from left outer join only.
+    if (join.getJoinType() != JoinRelType.LEFT) {
+      return;
+    }
+
+    assert (filter != null);
+
+    List<RexNode> aboveFilters = 
RelOptUtil.conjunctions(filter.getCondition());
+    boolean hasIsNull = false;
+
+    // Get all filter condition and check if any of them is a "is null" kind.
+    for (RexNode filterNode : aboveFilters) {
+      if (filterNode.getKind() == SqlKind.IS_NULL &&
+              isFilterFromRightSide(join, filterNode, join.getJoinType())) {
+        hasIsNull = true;
+        break;
+      }
+    }
+
+    // Is null should be on a key from right side of the join.
+    if (!hasIsNull) {
+      return;
+    }
+
+    // Build anti join with same left, right child and condition as original 
left outer join.
+    Join anti = join.copy(join.getTraitSet(), join.getCondition(),
+            join.getLeft(), join.getRight(), JoinRelType.ANTI, false);
+
+    //TODO : Do we really need it
+    call.getPlanner().onCopy(join, anti);

Review comment:
       done

##########
File path: 
ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/HiveJoinWithFilterToAntiJoinRule.java
##########
@@ -0,0 +1,149 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.hadoop.hive.ql.optimizer.calcite.rules;
+
+import org.apache.calcite.plan.RelOptRule;
+import org.apache.calcite.plan.RelOptRuleCall;
+import org.apache.calcite.plan.RelOptUtil;
+import org.apache.calcite.rel.RelNode;
+import org.apache.calcite.rel.core.Filter;
+import org.apache.calcite.rel.core.Join;
+import org.apache.calcite.rel.core.JoinRelType;
+import org.apache.calcite.rel.core.Project;
+import org.apache.calcite.rel.type.RelDataTypeField;
+import org.apache.calcite.rex.RexInputRef;
+import org.apache.calcite.rex.RexNode;
+import org.apache.calcite.sql.SqlKind;
+import org.apache.calcite.util.ImmutableBitSet;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.util.ArrayList;
+import java.util.List;
+
+/**
+ * Planner rule that converts a join plus filter to anti join.
+ */
+public class HiveJoinWithFilterToAntiJoinRule extends RelOptRule {
+  protected static final Logger LOG = 
LoggerFactory.getLogger(HiveJoinWithFilterToAntiJoinRule.class);
+  public static final HiveJoinWithFilterToAntiJoinRule INSTANCE = new 
HiveJoinWithFilterToAntiJoinRule();
+
+  //    HiveProject(fld=[$0])
+  //      HiveFilter(condition=[IS NULL($1)])
+  //        HiveJoin(condition=[=($0, $1)], joinType=[left], algorithm=[none], 
cost=[not available])
+  //
+  // TO
+  //
+  //    HiveProject(fld_tbl=[$0])
+  //      HiveAntiJoin(condition=[=($0, $1)], joinType=[anti])
+  //
+  public HiveJoinWithFilterToAntiJoinRule() {
+    super(operand(Project.class, operand(Filter.class, operand(Join.class, 
RelOptRule.any()))),
+            "HiveJoinWithFilterToAntiJoinRule:filter");
+  }
+
+  // is null filter over a left join.
+  public void onMatch(final RelOptRuleCall call) {
+    final Project project = call.rel(0);
+    final Filter filter = call.rel(1);
+    final Join join = call.rel(2);
+    perform(call, project, filter, join);
+  }
+
+  protected void perform(RelOptRuleCall call, Project project, Filter filter, 
Join join) {
+    LOG.debug("Matched HiveAntiJoinRule");
+
+    if (join.getCondition().isAlwaysTrue()) {
+      return;
+    }
+
+    //We support conversion from left outer join only.
+    if (join.getJoinType() != JoinRelType.LEFT) {
+      return;
+    }
+
+    assert (filter != null);
+
+    List<RexNode> aboveFilters = 
RelOptUtil.conjunctions(filter.getCondition());
+    boolean hasIsNull = false;
+
+    // Get all filter condition and check if any of them is a "is null" kind.
+    for (RexNode filterNode : aboveFilters) {
+      if (filterNode.getKind() == SqlKind.IS_NULL &&
+              isFilterFromRightSide(join, filterNode, join.getJoinType())) {
+        hasIsNull = true;
+        break;
+      }
+    }
+
+    // Is null should be on a key from right side of the join.
+    if (!hasIsNull) {
+      return;
+    }
+
+    // Build anti join with same left, right child and condition as original 
left outer join.
+    Join anti = join.copy(join.getTraitSet(), join.getCondition(),
+            join.getLeft(), join.getRight(), JoinRelType.ANTI, false);
+
+    //TODO : Do we really need it
+    call.getPlanner().onCopy(join, anti);
+
+    RelNode newProject = getNewProjectNode(project, anti);
+    if (newProject != null) {
+      call.getPlanner().onCopy(project, newProject);
+      call.transformTo(newProject);
+    }
+  }
+
+  protected RelNode getNewProjectNode(Project oldProject, Join newJoin) {
+    List<RelDataTypeField> newJoinFiledList = 
newJoin.getRowType().getFieldList();
+    List<RexNode> newProjectExpr = new ArrayList<>();
+    for (RexNode field : oldProject.getProjects()) {
+      if (!(field instanceof  RexInputRef)) {
+        return null;
+      }
+      int idx = ((RexInputRef)field).getIndex();
+      if (idx > newJoinFiledList.size()) {
+        LOG.debug(" Project filed " + ((RexInputRef) field).getName() +
+                " is from right side of join. Can not convert to anti join.");
+        return null;
+      }
+
+      final RexInputRef ref = newJoin.getCluster().getRexBuilder()
+              .makeInputRef(field.getType(), idx);
+      newProjectExpr.add(ref);
+    }
+    return oldProject.copy(oldProject.getTraitSet(), newJoin, newProjectExpr, 
oldProject.getRowType());
+  }
+
+  private boolean isFilterFromRightSide(RelNode joinRel, RexNode filter, 
JoinRelType joinType) {
+    List<RelDataTypeField> joinFields = joinRel.getRowType().getFieldList();
+    int nTotalFields = joinFields.size();
+
+    List<RelDataTypeField> leftFields = 
(joinRel.getInputs().get(0)).getRowType().getFieldList();
+    int nFieldsLeft = leftFields.size();
+    List<RelDataTypeField> rightFields = 
(joinRel.getInputs().get(1)).getRowType().getFieldList();
+    int nFieldsRight = rightFields.size();
+    assert nTotalFields == (!joinType.projectsRight() ? nFieldsLeft : 
nFieldsLeft + nFieldsRight);

Review comment:
       done




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Issue Time Tracking
-------------------

    Worklog Id:     (was: 463337)
    Time Spent: 10h 50m  (was: 10h 40m)

> Support Anti Join in Hive 
> --------------------------
>
>                 Key: HIVE-23716
>                 URL: https://issues.apache.org/jira/browse/HIVE-23716
>             Project: Hive
>          Issue Type: Bug
>            Reporter: mahesh kumar behera
>            Assignee: mahesh kumar behera
>            Priority: Major
>              Labels: pull-request-available
>         Attachments: HIVE-23716.01.patch
>
>          Time Spent: 10h 50m
>  Remaining Estimate: 0h
>
> Currently hive does not support Anti join. The query for anti join is 
> converted to left outer join and null filter on right side join key is added 
> to get the desired result. This is causing
>  # Extra computation — The left outer join projects the redundant columns 
> from right side. Along with that, filtering is done to remove the redundant 
> rows. This is can be avoided in case of anti join as anti join will project 
> only the required columns and rows from the left side table.
>  # Extra shuffle — In case of anti join the duplicate records moved to join 
> node can be avoided from the child node. This can reduce significant amount 
> of data movement if the number of distinct rows( join keys) is significant.
>  # Extra Memory Usage - In case of map based anti join , hash set is 
> sufficient as just the key is required to check  if the records matches the 
> join condition. In case of left join, we need the key and the non key columns 
> also and thus a hash table will be required.
> For a query like
> {code:java}
>  select wr_order_number FROM web_returns LEFT JOIN web_sales  ON 
> wr_order_number = ws_order_number WHERE ws_order_number IS NULL;{code}
> The number of distinct ws_order_number in web_sales table in a typical 10TB 
> TPCDS set up is just 10% of total records. So when we convert this query to 
> anti join, instead of 7 billion rows, only 600 million rows are moved to join 
> node.
> In the current patch, just one conversion is done. The pattern of 
> project->filter->left-join is converted to project->anti-join. This will take 
> care of sub queries with “not exists” clause. The queries with “not exists” 
> are converted first to filter + left-join and then its converted to anti 
> join. The queries with “not in” are not handled in the current patch.
> From execution side, both merge join and map join with vectorized execution  
> is supported for anti join.



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