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Example 16 with RexProgram

use of org.apache.calcite.rex.RexProgram in project flink by apache.

the class PushFilterInCalcIntoTableSourceScanRule method matches.

@Override
public boolean matches(RelOptRuleCall call) {
    if (!super.matches(call)) {
        return false;
    }
    FlinkLogicalCalc calc = call.rel(0);
    RexProgram originProgram = calc.getProgram();
    if (originProgram.getCondition() == null) {
        return false;
    }
    FlinkLogicalTableSourceScan scan = call.rel(1);
    TableSourceTable tableSourceTable = scan.getTable().unwrap(TableSourceTable.class);
    // we can not push filter twice
    return canPushdownFilter(tableSourceTable);
}
Also used : FlinkLogicalCalc(org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalCalc) RexProgram(org.apache.calcite.rex.RexProgram) FlinkLogicalTableSourceScan(org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalTableSourceScan) TableSourceTable(org.apache.flink.table.planner.plan.schema.TableSourceTable)

Example 17 with RexProgram

use of org.apache.calcite.rex.RexProgram in project flink by apache.

the class PushFilterInCalcIntoTableSourceScanRule method pushFilterIntoScan.

private void pushFilterIntoScan(RelOptRuleCall call, Calc calc, FlinkLogicalTableSourceScan scan, FlinkPreparingTableBase relOptTable) {
    RexProgram originProgram = calc.getProgram();
    RelBuilder relBuilder = call.builder();
    Tuple2<RexNode[], RexNode[]> extractedPredicates = extractPredicates(originProgram.getInputRowType().getFieldNames().toArray(new String[0]), originProgram.expandLocalRef(originProgram.getCondition()), scan, relBuilder.getRexBuilder());
    RexNode[] convertiblePredicates = extractedPredicates._1;
    RexNode[] unconvertedPredicates = extractedPredicates._2;
    if (convertiblePredicates.length == 0) {
        // no condition can be translated to expression
        return;
    }
    Tuple2<SupportsFilterPushDown.Result, TableSourceTable> pushdownResultWithScan = resolveFiltersAndCreateTableSourceTable(convertiblePredicates, relOptTable.unwrap(TableSourceTable.class), scan, relBuilder);
    SupportsFilterPushDown.Result result = pushdownResultWithScan._1;
    TableSourceTable tableSourceTable = pushdownResultWithScan._2;
    FlinkLogicalTableSourceScan newScan = FlinkLogicalTableSourceScan.create(scan.getCluster(), scan.getHints(), tableSourceTable);
    // build new calc program
    RexProgramBuilder programBuilder = RexProgramBuilder.forProgram(originProgram, call.builder().getRexBuilder(), true);
    programBuilder.clearCondition();
    if (!result.getRemainingFilters().isEmpty() || unconvertedPredicates.length != 0) {
        RexNode remainingCondition = createRemainingCondition(relBuilder, result.getRemainingFilters(), unconvertedPredicates);
        RexNode simplifiedRemainingCondition = FlinkRexUtil.simplify(relBuilder.getRexBuilder(), remainingCondition, calc.getCluster().getPlanner().getExecutor());
        programBuilder.addCondition(simplifiedRemainingCondition);
    }
    RexProgram program = programBuilder.getProgram();
    if (program.isTrivial()) {
        call.transformTo(newScan);
    } else {
        FlinkLogicalCalc newCalc = FlinkLogicalCalc.create(newScan, program);
        call.transformTo(newCalc);
    }
}
Also used : RelBuilder(org.apache.calcite.tools.RelBuilder) FlinkLogicalCalc(org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalCalc) RexProgram(org.apache.calcite.rex.RexProgram) FlinkLogicalTableSourceScan(org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalTableSourceScan) SupportsFilterPushDown(org.apache.flink.table.connector.source.abilities.SupportsFilterPushDown) TableSourceTable(org.apache.flink.table.planner.plan.schema.TableSourceTable) RexProgramBuilder(org.apache.calcite.rex.RexProgramBuilder) RexNode(org.apache.calcite.rex.RexNode)

Example 18 with RexProgram

use of org.apache.calcite.rex.RexProgram in project flink by apache.

the class RelTimeIndicatorConverter method visitCalc.

private RelNode visitCalc(FlinkLogicalCalc calc) {
    // visit children and update inputs
    RelNode newInput = calc.getInput().accept(this);
    RexProgram program = calc.getProgram();
    // check if input field contains time indicator type
    // materialize field if no time indicator is present anymore
    // if input field is already materialized, change to timestamp type
    RexTimeIndicatorMaterializer materializer = new RexTimeIndicatorMaterializer(newInput);
    List<RexNode> newProjects = program.getProjectList().stream().map(project -> program.expandLocalRef(project).accept(materializer)).collect(Collectors.toList());
    // materialize condition due to filter will validate condition type
    RexNode newCondition = null;
    if (program.getCondition() != null) {
        newCondition = program.expandLocalRef(program.getCondition()).accept(materializer);
    }
    RexProgram newProgram = RexProgram.create(newInput.getRowType(), newProjects, newCondition, program.getOutputRowType().getFieldNames(), rexBuilder);
    return calc.copy(calc.getTraitSet(), newInput, newProgram);
}
Also used : WindowUtil.groupingContainsWindowStartEnd(org.apache.flink.table.planner.plan.utils.WindowUtil.groupingContainsWindowStartEnd) RexProgram(org.apache.calcite.rex.RexProgram) Tuple2(org.apache.flink.api.java.tuple.Tuple2) FlinkLogicalWindowAggregate(org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalWindowAggregate) LogicalTableModify(org.apache.calcite.rel.logical.LogicalTableModify) FlinkLogicalLegacySink(org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalLegacySink) FlinkLogicalDistribution(org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalDistribution) FlinkLogicalIntersect(org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalIntersect) TemporalJoinUtil(org.apache.flink.table.planner.plan.utils.TemporalJoinUtil) RexPatternFieldRef(org.apache.calcite.rex.RexPatternFieldRef) RexNode(org.apache.calcite.rex.RexNode) Map(java.util.Map) FlinkLogicalSnapshot(org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalSnapshot) 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Example 19 with RexProgram

use of org.apache.calcite.rex.RexProgram in project flink by apache.

the class RelTimeIndicatorConverter method createCalcToMaterializeTimeIndicators.

private RelNode createCalcToMaterializeTimeIndicators(RelNode input, Set<Integer> refIndices) {
    // create new calc
    List<RexNode> projects = input.getRowType().getFieldList().stream().map(field -> {
        RexNode project = new RexInputRef(field.getIndex(), field.getType());
        if (refIndices.contains(field.getIndex())) {
            project = materializeTimeIndicators(project);
        }
        return project;
    }).collect(Collectors.toList());
    RexProgram newProgram = RexProgram.create(input.getRowType(), projects, null, input.getRowType().getFieldNames(), rexBuilder);
    return FlinkLogicalCalc.create(input, newProgram);
}
Also used : WindowUtil.groupingContainsWindowStartEnd(org.apache.flink.table.planner.plan.utils.WindowUtil.groupingContainsWindowStartEnd) RexProgram(org.apache.calcite.rex.RexProgram) Tuple2(org.apache.flink.api.java.tuple.Tuple2) FlinkLogicalWindowAggregate(org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalWindowAggregate) LogicalTableModify(org.apache.calcite.rel.logical.LogicalTableModify) FlinkLogicalLegacySink(org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalLegacySink) FlinkLogicalDistribution(org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalDistribution) FlinkLogicalIntersect(org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalIntersect) TemporalJoinUtil(org.apache.flink.table.planner.plan.utils.TemporalJoinUtil) RexPatternFieldRef(org.apache.calcite.rex.RexPatternFieldRef) RexNode(org.apache.calcite.rex.RexNode) Map(java.util.Map) FlinkLogicalSnapshot(org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalSnapshot) LocalZonedTimestampType(org.apache.flink.table.types.logical.LocalZonedTimestampType) FlinkLogicalMinus(org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalMinus) Predicate(java.util.function.Predicate) FlinkLogicalTableFunctionScan(org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalTableFunctionScan) FlinkLogicalRank(org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalRank) Set(java.util.Set) FlinkLogicalJoin(org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalJoin) Preconditions(org.apache.flink.util.Preconditions) Collectors(java.util.stream.Collectors) FlinkLogicalValues(org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalValues) RexInputRef(org.apache.calcite.rex.RexInputRef) List(java.util.List) FlinkTypeFactory.isTimeIndicatorType(org.apache.flink.table.planner.calcite.FlinkTypeFactory.isTimeIndicatorType) LogicalType(org.apache.flink.table.types.logical.LogicalType) SqlStdOperatorTable(org.apache.calcite.sql.fun.SqlStdOperatorTable) FlinkLogicalSink(org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalSink) RexLocalRef(org.apache.calcite.rex.RexLocalRef) ValidationException(org.apache.flink.table.api.ValidationException) RelDataTypeField(org.apache.calcite.rel.type.RelDataTypeField) FlinkTypeFactory.isRowtimeIndicatorType(org.apache.flink.table.planner.calcite.FlinkTypeFactory.isRowtimeIndicatorType) FlinkLogicalSort(org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalSort) FlinkLogicalOverAggregate(org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalOverAggregate) RexCall(org.apache.calcite.rex.RexCall) IntStream(java.util.stream.IntStream) TableScan(org.apache.calcite.rel.core.TableScan) LogicalCalc(org.apache.calcite.rel.logical.LogicalCalc) FlinkLogicalMatch(org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalMatch) FlinkLogicalUnion(org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalUnion) SetOp(org.apache.calcite.rel.core.SetOp) RelWindowProperties(org.apache.flink.table.planner.plan.trait.RelWindowProperties) RelOptUtil(org.apache.calcite.plan.RelOptUtil) Function(java.util.function.Function) ArrayList(java.util.ArrayList) HashSet(java.util.HashSet) LinkedHashMap(java.util.LinkedHashMap) MatchUtil.isFinalOnMatchTimeIndicator(org.apache.flink.table.planner.plan.utils.MatchUtil.isFinalOnMatchTimeIndicator) TimestampType(org.apache.flink.table.types.logical.TimestampType) Pair(org.apache.calcite.util.Pair) FlinkLogicalAggregate(org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalAggregate) TimeIndicatorRelDataType(org.apache.flink.table.planner.plan.schema.TimeIndicatorRelDataType) SqlOperator(org.apache.calcite.sql.SqlOperator) SingleRel(org.apache.calcite.rel.SingleRel) RelCollations(org.apache.calcite.rel.RelCollations) RelDataType(org.apache.calcite.rel.type.RelDataType) SqlTypeName(org.apache.calcite.sql.type.SqlTypeName) FlinkRelMetadataQuery(org.apache.flink.table.planner.plan.metadata.FlinkRelMetadataQuery) RexBuilder(org.apache.calcite.rex.RexBuilder) FlinkTypeFactory.isProctimeIndicatorType(org.apache.flink.table.planner.calcite.FlinkTypeFactory.isProctimeIndicatorType) TableException(org.apache.flink.table.api.TableException) FlinkLogicalTableAggregate(org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalTableAggregate) FlinkLogicalCalc(org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalCalc) FlinkLogicalWindowTableAggregate(org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalWindowTableAggregate) FlinkLogicalExpand(org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalExpand) RelNode(org.apache.calcite.rel.RelNode) Aggregate(org.apache.calcite.rel.core.Aggregate) JoinUtil(org.apache.flink.table.planner.plan.utils.JoinUtil) RelHomogeneousShuttle(org.apache.calcite.rel.RelHomogeneousShuttle) RexProgramBuilder(org.apache.calcite.rex.RexProgramBuilder) FlinkSqlOperatorTable(org.apache.flink.table.planner.functions.sql.FlinkSqlOperatorTable) FlinkLogicalWatermarkAssigner(org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalWatermarkAssigner) AggregateCall(org.apache.calcite.rel.core.AggregateCall) RexShuttle(org.apache.calcite.rex.RexShuttle) FlinkLogicalCorrelate(org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalCorrelate) Collections(java.util.Collections) RexProgram(org.apache.calcite.rex.RexProgram) RexInputRef(org.apache.calcite.rex.RexInputRef) RexNode(org.apache.calcite.rex.RexNode)

Example 20 with RexProgram

use of org.apache.calcite.rex.RexProgram in project beam by apache.

the class CalcRelSplitter method execute.

// ~ Methods ----------------------------------------------------------------
public RelNode execute() {
    // expressions to the left.
    assert program.isValid(Litmus.THROW, null);
    final List<RexNode> exprList = program.getExprList();
    final RexNode[] exprs = exprList.toArray(new RexNode[0]);
    assert !RexUtil.containComplexExprs(exprList);
    // Figure out what level each expression belongs to.
    int[] exprLevels = new int[exprs.length];
    // The type of a level is given by
    // relTypes[levelTypeOrdinals[level]].
    int[] levelTypeOrdinals = new int[exprs.length];
    int levelCount = chooseLevels(exprs, -1, exprLevels, levelTypeOrdinals);
    // For each expression, figure out which is the highest level where it
    // is used.
    int[] exprMaxUsingLevelOrdinals = new HighestUsageFinder(exprs, exprLevels).getMaxUsingLevelOrdinals();
    // If expressions are used as outputs, mark them as higher than that.
    final List<RexLocalRef> projectRefList = program.getProjectList();
    final RexLocalRef conditionRef = program.getCondition();
    for (RexLocalRef projectRef : projectRefList) {
        exprMaxUsingLevelOrdinals[projectRef.getIndex()] = levelCount;
    }
    if (conditionRef != null) {
        exprMaxUsingLevelOrdinals[conditionRef.getIndex()] = levelCount;
    }
    // Print out what we've got.
    if (RULE_LOGGER.isTraceEnabled()) {
        traceLevelExpressions(exprs, exprLevels, levelTypeOrdinals, levelCount);
    }
    // Now build the calcs.
    RelNode rel = child;
    final int inputFieldCount = program.getInputRowType().getFieldCount();
    int[] inputExprOrdinals = identityArray(inputFieldCount);
    boolean doneCondition = false;
    for (int level = 0; level < levelCount; level++) {
        final int[] projectExprOrdinals;
        final RelDataType outputRowType;
        if (level == (levelCount - 1)) {
            outputRowType = program.getOutputRowType();
            projectExprOrdinals = new int[projectRefList.size()];
            for (int i = 0; i < projectExprOrdinals.length; i++) {
                projectExprOrdinals[i] = projectRefList.get(i).getIndex();
            }
        } else {
            outputRowType = null;
            // Project the expressions which are computed at this level or
            // before, and will be used at later levels.
            List<Integer> projectExprOrdinalList = new ArrayList<>();
            for (int i = 0; i < exprs.length; i++) {
                RexNode expr = exprs[i];
                if (expr instanceof RexLiteral) {
                    // Don't project literals. They are always created in
                    // the level where they are used.
                    exprLevels[i] = -1;
                    continue;
                }
                if ((exprLevels[i] <= level) && (exprMaxUsingLevelOrdinals[i] > level)) {
                    projectExprOrdinalList.add(i);
                }
            }
            projectExprOrdinals = Ints.toArray(projectExprOrdinalList);
        }
        final RelType relType = relTypes[levelTypeOrdinals[level]];
        // Can we do the condition this level?
        int conditionExprOrdinal = -1;
        if ((conditionRef != null) && !doneCondition) {
            conditionExprOrdinal = conditionRef.getIndex();
            if ((exprLevels[conditionExprOrdinal] > level) || !relType.supportsCondition()) {
                // stand down -- we're not ready to do the condition yet
                conditionExprOrdinal = -1;
            } else {
                doneCondition = true;
            }
        }
        RexProgram program1 = createProgramForLevel(level, levelCount, rel.getRowType(), exprs, exprLevels, inputExprOrdinals, projectExprOrdinals, conditionExprOrdinal, outputRowType);
        rel = relType.makeRel(cluster, traits, relBuilder, rel, program1);
        rel = handle(rel);
        // The outputs of this level will be the inputs to the next level.
        inputExprOrdinals = projectExprOrdinals;
    }
    Preconditions.checkArgument(doneCondition || (conditionRef == null), "unhandled condition");
    return rel;
}
Also used : RexLiteral(org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.rex.RexLiteral) RexProgram(org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.rex.RexProgram) ArrayList(java.util.ArrayList) RelDataType(org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.rel.type.RelDataType) RelNode(org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.rel.RelNode) RexLocalRef(org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.rex.RexLocalRef) RexNode(org.apache.beam.vendor.calcite.v1_28_0.org.apache.calcite.rex.RexNode)

Aggregations

RexProgram (org.apache.calcite.rex.RexProgram)46 RexNode (org.apache.calcite.rex.RexNode)29 RexProgramBuilder (org.apache.calcite.rex.RexProgramBuilder)26 RexBuilder (org.apache.calcite.rex.RexBuilder)21 RelNode (org.apache.calcite.rel.RelNode)17 RelDataType (org.apache.calcite.rel.type.RelDataType)13 ArrayList (java.util.ArrayList)12 RexLocalRef (org.apache.calcite.rex.RexLocalRef)12 LogicalCalc (org.apache.calcite.rel.logical.LogicalCalc)11 FlinkLogicalCalc (org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalCalc)10 RelDataTypeField (org.apache.calcite.rel.type.RelDataTypeField)9 List (java.util.List)7 RexInputRef (org.apache.calcite.rex.RexInputRef)7 Collectors (java.util.stream.Collectors)5 RelDataTypeFactory (org.apache.calcite.rel.type.RelDataTypeFactory)5 RexCall (org.apache.calcite.rex.RexCall)5 RexShuttle (org.apache.calcite.rex.RexShuttle)5 Collections (java.util.Collections)4 RelOptUtil (org.apache.calcite.plan.RelOptUtil)4 FlinkLogicalCorrelate (org.apache.flink.table.planner.plan.nodes.logical.FlinkLogicalCorrelate)4