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/*
 * 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.calcite.plan;

import org.apache.calcite.DataContext;
import org.apache.calcite.rel.type.RelDataType;
import org.apache.calcite.rex.RexBuilder;
import org.apache.calcite.rex.RexCall;
import org.apache.calcite.rex.RexExecutable;
import org.apache.calcite.rex.RexExecutorImpl;
import org.apache.calcite.rex.RexInputRef;
import org.apache.calcite.rex.RexNode;
import org.apache.calcite.rex.RexUtil;
import org.apache.calcite.rex.RexVisitorImpl;
import org.apache.calcite.sql.SqlKind;
import org.apache.calcite.sql.SqlOperator;
import org.apache.calcite.sql.fun.SqlCastFunction;
import org.apache.calcite.util.Pair;
import org.apache.calcite.util.trace.CalciteLogger;

import com.google.common.collect.ImmutableList;
import com.google.common.collect.ImmutableSet;
import com.google.common.collect.Sets;

import org.slf4j.LoggerFactory;

import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Objects;
import java.util.Set;

/**
 * Checks whether one condition logically implies another.
 *
 * 

If A ⇒ B, whenever A is true, B will be true also. * *

For example: *

    *
  • (x > 10) ⇒ (x > 5) *
  • (x = 10) ⇒ (x < 30 OR y > 30) *
  • (x = 10) ⇒ (x IS NOT NULL) *
  • (x > 10 AND y = 20) ⇒ (x > 5) *
*/ public class RexImplicationChecker { private static final CalciteLogger LOGGER = new CalciteLogger(LoggerFactory.getLogger(RexImplicationChecker.class)); final RexBuilder builder; final RexExecutorImpl executor; final RelDataType rowType; public RexImplicationChecker( RexBuilder builder, RexExecutorImpl executor, RelDataType rowType) { this.builder = Objects.requireNonNull(builder); this.executor = Objects.requireNonNull(executor); this.rowType = Objects.requireNonNull(rowType); } /** * Checks if condition first implies (⇒) condition second. * *

This reduces to SAT problem which is NP-Complete. * When this method says first implies second then it is definitely true. * But it cannot prove that first does not imply second. * * @param first first condition * @param second second condition * @return true if it can prove first ⇒ second; otherwise false i.e., * it doesn't know if implication holds */ public boolean implies(RexNode first, RexNode second) { // Validation if (!validate(first, second)) { return false; } LOGGER.debug("Checking if {} => {}", first.toString(), second.toString()); // Get DNF RexNode firstDnf = RexUtil.toDnf(builder, first); RexNode secondDnf = RexUtil.toDnf(builder, second); // Check Trivial Cases if (firstDnf.isAlwaysFalse() || secondDnf.isAlwaysTrue()) { return true; } // Decompose DNF into a list of conditions, each of which is a conjunction. // For example, // (x > 10 AND y > 30) OR (z > 90) // is converted to list of 2 conditions: // (x > 10 AND y > 30) // z > 90 // // Similarly, decompose CNF into a list of conditions, each of which is a // disjunction. List firsts = RelOptUtil.disjunctions(firstDnf); List seconds = RelOptUtil.disjunctions(secondDnf); for (RexNode f : firsts) { // Check if f implies at least // one of the conjunctions in list secondDnfs. // If f could not imply even one conjunction in // secondDnfs, then final implication may be false. if (!impliesAny(f, seconds)) { LOGGER.debug("{} does not imply {}", first, second); return false; } } LOGGER.debug("{} implies {}", first, second); return true; } /** Returns whether the predicate {@code first} implies (⇒) * at least one predicate in {@code seconds}. */ private boolean impliesAny(RexNode first, List seconds) { for (RexNode second : seconds) { if (impliesConjunction(first, second)) { return true; } } return false; } /** Returns whether the predicate {@code first} implies {@code second} (both * may be conjunctions). */ private boolean impliesConjunction(RexNode first, RexNode second) { if (implies2(first, second)) { return true; } switch (first.getKind()) { case AND: for (RexNode f : RelOptUtil.conjunctions(first)) { if (implies2(f, second)) { return true; } } } return false; } /** Returns whether the predicate {@code first} (not a conjunction) * implies {@code second}. */ private boolean implies2(RexNode first, RexNode second) { if (second.isAlwaysFalse()) { // f cannot imply s return false; } // E.g. "x is null" implies "x is null". if (RexUtil.eq(first, second)) { return true; } // Several things imply "IS NOT NULL" switch (second.getKind()) { case IS_NOT_NULL: // Suppose we know that first is strong in second; that is, // the if second is null, then first will be null. // Then, first being not null implies that second is not null. // // For example, first is "x > y", second is "x". // If we know that "x > y" is not null, we know that "x" is not null. final RexNode operand = ((RexCall) second).getOperands().get(0); final Strong strong = new Strong() { @Override public boolean isNull(RexNode node) { return RexUtil.eq(node, operand) || super.isNull(node); } }; if (strong.isNull(first)) { return true; } } final InputUsageFinder firstUsageFinder = new InputUsageFinder(); final InputUsageFinder secondUsageFinder = new InputUsageFinder(); RexUtil.apply(firstUsageFinder, ImmutableList.of(), first); RexUtil.apply(secondUsageFinder, ImmutableList.of(), second); // Check Support if (!checkSupport(firstUsageFinder, secondUsageFinder)) { LOGGER.warn("Support for checking {} => {} is not there", first, second); return false; } ImmutableList.Builder>> usagesBuilder = ImmutableList.builder(); for (Map.Entry> entry : firstUsageFinder.usageMap.entrySet()) { ImmutableSet.Builder> usageBuilder = ImmutableSet.builder(); if (entry.getValue().usageList.size() > 0) { for (final Pair pair : entry.getValue().usageList) { usageBuilder.add(Pair.of(entry.getKey(), pair.getValue())); } usagesBuilder.add(usageBuilder.build()); } } final Set>> usages = Sets.cartesianProduct(usagesBuilder.build()); for (List> usageList : usages) { // Get the literals from first conjunction and executes second conjunction // using them. // // E.g., for // x > 30 ⇒ x > 10, // we will replace x by 30 in second expression and execute it i.e., // 30 > 10 // // If it's true then we infer implication. final DataContext dataValues = VisitorDataContext.of(rowType, usageList); if (!isSatisfiable(second, dataValues)) { return false; } } return true; } private boolean isSatisfiable(RexNode second, DataContext dataValues) { if (dataValues == null) { return false; } ImmutableList constExps = ImmutableList.of(second); final RexExecutable exec = executor.getExecutable(builder, constExps, rowType); Object[] result; exec.setDataContext(dataValues); try { result = exec.execute(); } catch (Exception e) { // TODO: CheckSupport should not allow this exception to be thrown // Need to monitor it and handle all the cases raising them. LOGGER.warn("Exception thrown while checking if => {}: {}", second, e.getMessage()); return false; } return result != null && result.length == 1 && result[0] instanceof Boolean && (Boolean) result[0]; } /** * Looks at the usage of variables in first and second conjunction to decide * whether this kind of expression is currently supported for proving first * implies second. * *

    *
  1. Variables should be used only once in both the conjunction against * given set of operations only: >, <, ≤, ≥, =; ≠. * *
  2. All the variables used in second condition should be used even in the * first. * *
  3. If operator used for variable in first is op1 and op2 for second, then * we support these combination for conjunction (op1, op2) then op1, op2 * belongs to one of the following sets: * *
      *
    • (<, ≤) X (<, ≤) note: X represents cartesian product *
    • (> / ≥) X (>, ≥) *
    • (=) X (>, ≥, <, ≤, =, ≠) *
    • (≠, =) *
    * *
  4. We support at most 2 operators to be be used for a variable in first * and second usages. * *
* * @return whether input usage pattern is supported */ private boolean checkSupport(InputUsageFinder firstUsageFinder, InputUsageFinder secondUsageFinder) { final Map> firstUsageMap = firstUsageFinder.usageMap; final Map> secondUsageMap = secondUsageFinder.usageMap; for (Map.Entry> entry : secondUsageMap.entrySet()) { final InputRefUsage secondUsage = entry.getValue(); final List> secondUsageList = secondUsage.usageList; final int secondLen = secondUsageList.size(); if (secondUsage.usageCount != secondLen || secondLen > 2) { return false; } final InputRefUsage firstUsage = firstUsageMap.get(entry.getKey()); if (firstUsage == null || firstUsage.usageList.size() != firstUsage.usageCount || firstUsage.usageCount > 2) { return false; } final List> firstUsageList = firstUsage.usageList; final int firstLen = firstUsageList.size(); final SqlKind fKind = firstUsageList.get(0).getKey().getKind(); final SqlKind sKind = secondUsageList.get(0).getKey().getKind(); final SqlKind fKind2 = (firstUsageList.size() == 2) ? firstUsageList.get(1).getKey().getKind() : null; final SqlKind sKind2 = (secondUsageList.size() == 2) ? secondUsageList.get(1).getKey().getKind() : null; if (firstLen == 2 && secondLen == 2 && !(isEquivalentOp(fKind, sKind) && isEquivalentOp(fKind2, sKind2)) && !(isEquivalentOp(fKind, sKind2) && isEquivalentOp(fKind2, sKind))) { return false; } else if (firstLen == 1 && secondLen == 1 && fKind != SqlKind.EQUALS && !isSupportedUnaryOperators(sKind) && !isEquivalentOp(fKind, sKind)) { return false; } else if (firstLen == 1 && secondLen == 2 && fKind != SqlKind.EQUALS) { return false; } else if (firstLen == 2 && secondLen == 1) { // Allow only cases like // x < 30 and x < 40 implies x < 70 // x > 30 and x < 40 implies x < 70 // But disallow cases like // x > 30 and x > 40 implies x < 70 if (!isOppositeOp(fKind, fKind2) && !isSupportedUnaryOperators(sKind) && !(isEquivalentOp(fKind, fKind2) && isEquivalentOp(fKind, sKind))) { return false; } } } return true; } private boolean isSupportedUnaryOperators(SqlKind kind) { switch (kind) { case IS_NOT_NULL: case IS_NULL: return true; default: return false; } } private boolean isEquivalentOp(SqlKind fKind, SqlKind sKind) { switch (sKind) { case GREATER_THAN: case GREATER_THAN_OR_EQUAL: if (!(fKind == SqlKind.GREATER_THAN) && !(fKind == SqlKind.GREATER_THAN_OR_EQUAL)) { return false; } break; case LESS_THAN: case LESS_THAN_OR_EQUAL: if (!(fKind == SqlKind.LESS_THAN) && !(fKind == SqlKind.LESS_THAN_OR_EQUAL)) { return false; } break; default: return false; } return true; } private boolean isOppositeOp(SqlKind fKind, SqlKind sKind) { switch (sKind) { case GREATER_THAN: case GREATER_THAN_OR_EQUAL: if (!(fKind == SqlKind.LESS_THAN) && !(fKind == SqlKind.LESS_THAN_OR_EQUAL)) { return false; } break; case LESS_THAN: case LESS_THAN_OR_EQUAL: if (!(fKind == SqlKind.GREATER_THAN) && !(fKind == SqlKind.GREATER_THAN_OR_EQUAL)) { return false; } break; default: return false; } return true; } private boolean validate(RexNode first, RexNode second) { return first instanceof RexCall && second instanceof RexCall; } /** * Visitor that builds a usage map of inputs used by an expression. * *

E.g: for x > 10 AND y < 20 AND x = 40, usage map is as follows: *

    *
  • key: x value: {(>, 10),(=, 40), usageCount = 2} *
  • key: y value: {(>, 20), usageCount = 1} *
*/ private static class InputUsageFinder extends RexVisitorImpl { final Map> usageMap = new HashMap<>(); InputUsageFinder() { super(true); } public Void visitInputRef(RexInputRef inputRef) { InputRefUsage inputRefUse = getUsageMap(inputRef); inputRefUse.usageCount++; return null; } @Override public Void visitCall(RexCall call) { switch (call.getOperator().getKind()) { case GREATER_THAN: case GREATER_THAN_OR_EQUAL: case LESS_THAN: case LESS_THAN_OR_EQUAL: case EQUALS: case NOT_EQUALS: updateBinaryOpUsage(call); break; case IS_NULL: case IS_NOT_NULL: updateUnaryOpUsage(call); break; default: } return super.visitCall(call); } private void updateUnaryOpUsage(RexCall call) { final List operands = call.getOperands(); RexNode first = removeCast(operands.get(0)); if (first.isA(SqlKind.INPUT_REF)) { updateUsage(call.getOperator(), (RexInputRef) first, null); } } private void updateBinaryOpUsage(RexCall call) { final List operands = call.getOperands(); RexNode first = removeCast(operands.get(0)); RexNode second = removeCast(operands.get(1)); if (first.isA(SqlKind.INPUT_REF) && second.isA(SqlKind.LITERAL)) { updateUsage(call.getOperator(), (RexInputRef) first, second); } if (first.isA(SqlKind.LITERAL) && second.isA(SqlKind.INPUT_REF)) { updateUsage(reverse(call.getOperator()), (RexInputRef) second, first); } } private SqlOperator reverse(SqlOperator op) { return RelOptUtil.op(op.getKind().reverse(), op); } private static RexNode removeCast(RexNode inputRef) { if (inputRef instanceof RexCall) { final RexCall castedRef = (RexCall) inputRef; final SqlOperator operator = castedRef.getOperator(); if (operator instanceof SqlCastFunction) { inputRef = castedRef.getOperands().get(0); } } return inputRef; } private void updateUsage(SqlOperator op, RexInputRef inputRef, RexNode literal) { final InputRefUsage inputRefUse = getUsageMap(inputRef); Pair use = Pair.of(op, literal); inputRefUse.usageList.add(use); } private InputRefUsage getUsageMap(RexInputRef rex) { InputRefUsage inputRefUse = usageMap.get(rex); if (inputRefUse == null) { inputRefUse = new InputRefUsage<>(); usageMap.put(rex, inputRefUse); } return inputRefUse; } } /** * Usage of a {@link RexInputRef} in an expression. * * @param left type * @param right type */ private static class InputRefUsage { private final List> usageList = new ArrayList<>(); private int usageCount = 0; } } // End RexImplicationChecker.java




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