Examples with SingleRel org.apache.calcite.rel.SingleRel used on opensource projects

Example 1 with SingleRel

use of org.apache.calcite.rel.SingleRel in project flink by apache.

the class HiveParserDMLHelper method createInsertOperationInfo.

public Tuple4<ObjectIdentifier, QueryOperation, Map<String, String>, Boolean> createInsertOperationInfo(RelNode queryRelNode, Table destTable, Map<String, String> staticPartSpec, List<String> destSchema, boolean overwrite) throws SemanticException {
    // sanity check
    Preconditions.checkArgument(queryRelNode instanceof Project || queryRelNode instanceof Sort || queryRelNode instanceof LogicalDistribution, "Expect top RelNode to be Project, Sort, or LogicalDistribution, actually got " + queryRelNode);
    if (!(queryRelNode instanceof Project)) {
        RelNode parent = ((SingleRel) queryRelNode).getInput();
        // SEL + SORT or SEL + DIST + LIMIT
        Preconditions.checkArgument(parent instanceof Project || parent instanceof LogicalDistribution, "Expect input to be a Project or LogicalDistribution, actually got " + parent);
        if (parent instanceof LogicalDistribution) {
            RelNode grandParent = ((LogicalDistribution) parent).getInput();
            Preconditions.checkArgument(grandParent instanceof Project, "Expect input of LogicalDistribution to be a Project, actually got " + grandParent);
        }
    }
    // handle dest schema, e.g. insert into dest(.,.,.) select ...
    queryRelNode = handleDestSchema((SingleRel) queryRelNode, destTable, destSchema, staticPartSpec.keySet());
    // track each target col and its expected type
    RelDataTypeFactory typeFactory = plannerContext.getTypeFactory();
    LinkedHashMap<String, RelDataType> targetColToCalcType = new LinkedHashMap<>();
    List<TypeInfo> targetHiveTypes = new ArrayList<>();
    List<FieldSchema> allCols = new ArrayList<>(destTable.getCols());
    allCols.addAll(destTable.getPartCols());
    for (FieldSchema col : allCols) {
        TypeInfo hiveType = TypeInfoUtils.getTypeInfoFromTypeString(col.getType());
        targetHiveTypes.add(hiveType);
        targetColToCalcType.put(col.getName(), HiveParserTypeConverter.convert(hiveType, typeFactory));
    }
    // add static partitions to query source
    if (!staticPartSpec.isEmpty()) {
        if (queryRelNode instanceof Project) {
            queryRelNode = replaceProjectForStaticPart((Project) queryRelNode, staticPartSpec, destTable, targetColToCalcType);
        } else if (queryRelNode instanceof Sort) {
            Sort sort = (Sort) queryRelNode;
            RelNode oldInput = sort.getInput();
            RelNode newInput;
            if (oldInput instanceof LogicalDistribution) {
                newInput = replaceDistForStaticParts((LogicalDistribution) oldInput, destTable, staticPartSpec, targetColToCalcType);
            } else {
                newInput = replaceProjectForStaticPart((Project) oldInput, staticPartSpec, destTable, targetColToCalcType);
                // we may need to shift the field collations
                final int numDynmPart = destTable.getTTable().getPartitionKeys().size() - staticPartSpec.size();
                if (!sort.getCollation().getFieldCollations().isEmpty() && numDynmPart > 0) {
                    sort.replaceInput(0, null);
                    sort = LogicalSort.create(newInput, shiftRelCollation(sort.getCollation(), (Project) oldInput, staticPartSpec.size(), numDynmPart), sort.offset, sort.fetch);
                }
            }
            sort.replaceInput(0, newInput);
            queryRelNode = sort;
        } else {
            queryRelNode = replaceDistForStaticParts((LogicalDistribution) queryRelNode, destTable, staticPartSpec, targetColToCalcType);
        }
    }
    // add type conversions
    queryRelNode = addTypeConversions(plannerContext.getCluster().getRexBuilder(), queryRelNode, new ArrayList<>(targetColToCalcType.values()), targetHiveTypes, funcConverter);
    // create identifier
    List<String> targetTablePath = Arrays.asList(destTable.getDbName(), destTable.getTableName());
    UnresolvedIdentifier unresolvedIdentifier = UnresolvedIdentifier.of(targetTablePath);
    ObjectIdentifier identifier = catalogManager.qualifyIdentifier(unresolvedIdentifier);
    return Tuple4.of(identifier, new PlannerQueryOperation(queryRelNode), staticPartSpec, overwrite);
}

Example 2 with SingleRel

use of org.apache.calcite.rel.SingleRel in project drill by apache.

the class AnalyzePrule method onMatch.

@Override
public void onMatch(RelOptRuleCall call) {
    final DrillAnalyzeRel analyze = call.rel(0);
    final RelNode input = call.rel(1);
    final SingleRel newAnalyze;
    final RelTraitSet singleDistTrait = call.getPlanner().emptyTraitSet().plus(Prel.DRILL_PHYSICAL).plus(DrillDistributionTrait.SINGLETON);
    // Generate parallel ANALYZE plan:
    // Writer<-Unpivot<-StatsAgg(Phase2)<-Exchange<-StatsAgg(Phase1)<-Scan
    final RelTraitSet traits = input.getTraitSet().plus(Prel.DRILL_PHYSICAL).plus(DrillDistributionTrait.DEFAULT);
    RelNode convertedInput = convert(input, traits);
    final List<String> mapFields1 = Lists.newArrayList(PHASE_1_FUNCTIONS);
    final Map<String, String> mapFields2 = Maps.newHashMap(PHASE_2_FUNCTIONS);
    final List<String> mapFields3 = Lists.newArrayList(UNPIVOT_FUNCTIONS);
    mapFields1.add(0, Statistic.COLNAME);
    mapFields1.add(1, Statistic.COLTYPE);
    mapFields2.put(Statistic.COLNAME, Statistic.COLNAME);
    mapFields2.put(Statistic.COLTYPE, Statistic.COLTYPE);
    mapFields3.add(0, Statistic.COLNAME);
    mapFields3.add(1, Statistic.COLTYPE);
    // STATSAGG->EXCHANGE->STATSMERGE->UNPIVOT
    if (analyze.getSamplePercent() < 100.0) {
        // If a sample samplePercent is specified add a filter for Bernoulli sampling
        RexBuilder builder = convertedInput.getCluster().getRexBuilder();
        RexNode sampleCondition;
        if (PrelUtil.getSettings(convertedInput.getCluster()).getOptions().getOption(ExecConstants.DETERMINISTIC_SAMPLING_VALIDATOR)) {
            sampleCondition = builder.makeCall(SqlStdOperatorTable.LESS_THAN_OR_EQUAL, builder.makeCall(SqlStdOperatorTable.RAND, builder.makeExactLiteral(BigDecimal.valueOf(1))), builder.makeExactLiteral(BigDecimal.valueOf(analyze.getSamplePercent() / 100.0)));
        } else {
            sampleCondition = builder.makeCall(SqlStdOperatorTable.LESS_THAN_OR_EQUAL, builder.makeCall(SqlStdOperatorTable.RAND), builder.makeExactLiteral(BigDecimal.valueOf(analyze.getSamplePercent() / 100.0)));
        }
        convertedInput = new FilterPrel(convertedInput.getCluster(), convertedInput.getTraitSet(), convertedInput, sampleCondition);
    }
    final StatsAggPrel statsAggPrel = new StatsAggPrel(analyze.getCluster(), traits, convertedInput, PHASE_1_FUNCTIONS);
    UnionExchangePrel exch = new UnionExchangePrel(statsAggPrel.getCluster(), singleDistTrait, statsAggPrel);
    final StatsMergePrel statsMergePrel = new StatsMergePrel(exch.getCluster(), singleDistTrait, exch, mapFields2, analyze.getSamplePercent());
    newAnalyze = new UnpivotMapsPrel(statsMergePrel.getCluster(), singleDistTrait, statsMergePrel, mapFields3);
    call.transformTo(newAnalyze);
}