scarlin-cloudera commented on code in PR #4442: URL: https://github.com/apache/hive/pull/4442#discussion_r1244464370
########## ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/HiveFilterTableFunctionTransposeRule.java: ########## @@ -0,0 +1,183 @@ +/* + * 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.rex.RexCall; +import org.apache.calcite.rex.RexNode; +import org.apache.calcite.rex.RexUtil; +import org.apache.calcite.tools.RelBuilderFactory; +import org.apache.hadoop.hive.ql.exec.FunctionRegistry; +import org.apache.hadoop.hive.ql.optimizer.calcite.HiveCalciteUtil; +import org.apache.hadoop.hive.ql.optimizer.calcite.HiveRelFactories; +import org.apache.hadoop.hive.ql.optimizer.calcite.reloperators.HiveFilter; +import org.apache.hadoop.hive.ql.optimizer.calcite.reloperators.HiveTableFunctionScan; + +import com.google.common.base.Preconditions; +import com.google.common.collect.ImmutableList; + +import java.util.ArrayList; +import java.util.List; +import java.util.Set; + +/** + * Rule to transpose Filter and TableFunctionScan RelNodes + */ +public class HiveFilterTableFunctionTransposeRule extends RelOptRule { + + public static final HiveFilterTableFunctionTransposeRule INSTANCE = + new HiveFilterTableFunctionTransposeRule(HiveRelFactories.HIVE_BUILDER); + + public HiveFilterTableFunctionTransposeRule(RelBuilderFactory relBuilderFactory) { + super(operand(HiveFilter.class, operand(HiveTableFunctionScan.class, any())), + relBuilderFactory, null); + } + + @Override + public boolean matches(RelOptRuleCall call) { + final Filter filterRel = call.rel(0); + final HiveTableFunctionScan tableFunctionScanRel = call.rel(1); + + RexNode condition = filterRel.getCondition(); + if (!HiveCalciteUtil.isDeterministic(condition)) { + return false; + } + + // If the HiveTableFunctionScan is a special inline(array(...)) + // udtf, the table is generated from this node. The underlying + // RelNode will be a dummy table so no filter condition should + // pass through the HiveTableFunctionScan. + if (isInlineArray(tableFunctionScanRel)) { + return false; + } + + // If the HiveTableFunctionScan is not a lateral view, the return type + // for the RelNode only contains the output of the udtf so no filter + // condition can be passed through. + if (!tableFunctionScanRel.isLateralView()) { + return false; + } + + RelNode inputRel = tableFunctionScanRel.getInput(0); + + // The TableFunctionScan is always created such that all the input RelNode + // fields are present in its RelNode. If a Filter has an InputRef that is + // greater then the number of the RelNode below the TableFunctionScan, that + // means it was a field created by the TableFunctionScan and thus the Filter + // cannot be pushed through. + // + // We check for each individual conjunction (breaking it up by top level 'and' + // conditions). + int numFieldsInInput = inputRel.getRowType().getFieldCount(); + + for (RexNode ce : RelOptUtil.conjunctions(filterRel.getCondition())) { + Set<Integer> inputRefs = HiveCalciteUtil.getInputRefs(ce); + + boolean canBePushed = true; + for (Integer inputRef : inputRefs) { + if (inputRef >= numFieldsInInput) { + canBePushed = false; + break; + } + } + + if (canBePushed) { + return true; + } + } + return false; + } + + public void onMatch(RelOptRuleCall call) { + final Filter filter = call.rel(0); + final HiveTableFunctionScan tfs = call.rel(1); + final RelNode inputRel = tfs.getInput(0); + final int numFieldsInInput = inputRel.getRowType().getFieldCount(); + + final List<RexNode> newPartKeyFilterConditions = new ArrayList<>(); + final List<RexNode> unpushedFilterConditions = new ArrayList<>(); + + // Check for each individual 'and' condition so that we can push partial + // expressions through. + for (RexNode ce : RelOptUtil.conjunctions(filter.getCondition())) { + Set<Integer> inputRefs = HiveCalciteUtil.getInputRefs(ce); + boolean canBePushed = true; + // We can only push if all the InputRef pointers are referencing the + // input RelNode to the TableFunctionScan + for (Integer inputRef : inputRefs) { + if (inputRef >= numFieldsInInput) { + canBePushed = false; + break; + } + } Review Comment: Done -- This is an automated message from the Apache Git Service. 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