Examples with OpAttr org.apache.hadoop.hive.ql.optimizer.calcite.translator.HiveOpConverter.OpAttr used on opensource projects

Example 1 with OpAttr

use of org.apache.hadoop.hive.ql.optimizer.calcite.translator.HiveOpConverter.OpAttr in project hive by apache.

the class HiveGBOpConvUtil method genMapSideGB.

@SuppressWarnings("unchecked")
private static OpAttr genMapSideGB(OpAttr inputOpAf, GBInfo gbAttrs) throws SemanticException {
    ArrayList<String> outputColNames = new ArrayList<String>();
    ArrayList<ColumnInfo> colInfoLst = new ArrayList<ColumnInfo>();
    Map<String, ExprNodeDesc> colExprMap = new HashMap<String, ExprNodeDesc>();
    Set<String> gbKeyColsAsNamesFrmIn = new HashSet<String>();
    String colOutputName = null;
    // 1. Build GB Keys, grouping set starting position
    // 1.1 First Add original GB Keys
    ArrayList<ExprNodeDesc> gbKeys = new ArrayList<ExprNodeDesc>();
    for (int i = 0; i < gbAttrs.gbKeys.size(); i++) {
        gbKeys.add(gbAttrs.gbKeys.get(i));
        colOutputName = SemanticAnalyzer.getColumnInternalName(i);
        colInfoLst.add(new ColumnInfo(colOutputName, gbAttrs.gbKeyTypes.get(i), "", false));
        outputColNames.add(colOutputName);
        gbKeyColsAsNamesFrmIn.add(gbAttrs.gbKeyColNamesInInput.get(i));
        colExprMap.put(colOutputName, gbKeys.get(i));
    }
    // 1.2. Adjust GroupingSet Position, GBKeys for GroupingSet Position if
    // needed. NOTE: GroupingID is added to map side GB only if we don't GrpSet
    // doesn't require additional MR Jobs
    int groupingSetsPosition = -1;
    boolean inclGrpID = inclGrpSetInMapSide(gbAttrs);
    if (inclGrpID) {
        groupingSetsPosition = gbKeys.size();
        addGrpSetCol(true, null, false, gbKeys, outputColNames, colInfoLst, colExprMap);
    }
    // gen would have prevented it)
    for (int i = 0; i < gbAttrs.distExprNodes.size(); i++) {
        if (!gbKeyColsAsNamesFrmIn.contains(gbAttrs.distExprNames.get(i))) {
            gbKeys.add(gbAttrs.distExprNodes.get(i));
            colOutputName = SemanticAnalyzer.getColumnInternalName(gbKeys.size() - 1);
            colInfoLst.add(new ColumnInfo(colOutputName, gbAttrs.distExprTypes.get(i), "", false));
            outputColNames.add(colOutputName);
            gbKeyColsAsNamesFrmIn.add(gbAttrs.distExprNames.get(i));
            colExprMap.put(colOutputName, gbKeys.get(gbKeys.size() - 1));
        }
    }
    // 2. Build Aggregations
    ArrayList<AggregationDesc> aggregations = new ArrayList<AggregationDesc>();
    for (UDAFAttrs udafAttr : gbAttrs.udafAttrs) {
        Mode amode = SemanticAnalyzer.groupByDescModeToUDAFMode(GroupByDesc.Mode.HASH, udafAttr.isDistinctUDAF);
        aggregations.add(new AggregationDesc(udafAttr.udafName.toLowerCase(), udafAttr.udafEvaluator, udafAttr.udafParams, udafAttr.isDistinctUDAF, amode));
        GenericUDAFInfo udafInfo;
        try {
            udafInfo = SemanticAnalyzer.getGenericUDAFInfo(udafAttr.udafEvaluator, amode, udafAttr.udafParams);
        } catch (SemanticException e) {
            throw new RuntimeException(e);
        }
        colOutputName = SemanticAnalyzer.getColumnInternalName(gbKeys.size() + aggregations.size() - 1);
        colInfoLst.add(new ColumnInfo(colOutputName, udafInfo.returnType, "", false));
        outputColNames.add(colOutputName);
    }
    // 3. Create GB
    @SuppressWarnings("rawtypes") Operator gbOp = OperatorFactory.getAndMakeChild(new GroupByDesc(GroupByDesc.Mode.HASH, outputColNames, gbKeys, aggregations, false, gbAttrs.groupByMemoryUsage, gbAttrs.memoryThreshold, gbAttrs.grpSets, inclGrpID, groupingSetsPosition, gbAttrs.containsDistinctAggr), new RowSchema(colInfoLst), inputOpAf.inputs.get(0));
    // 5. Setup Expr Col Map
    // NOTE: UDAF is not included in ExprColMap
    gbOp.setColumnExprMap(colExprMap);
    return new OpAttr("", new HashSet<Integer>(), gbOp);
}

Example 2 with OpAttr

use of org.apache.hadoop.hive.ql.optimizer.calcite.translator.HiveOpConverter.OpAttr in project hive by apache.

the class HiveGBOpConvUtil method genMapSideGBNoSkewNoAddMRJob.

/**
   * GB-RS-GB1
   *
   * Construct GB-RS-GB Pipe line. User has enabled Map Side GB, specified no
   * skew and Grp Set is below the threshold.
   *
   * @param inputOpAf
   * @param aggRel
   * @param gbInfo
   * @return
   * @throws SemanticException
   */
private static OpAttr genMapSideGBNoSkewNoAddMRJob(OpAttr inputOpAf, HiveAggregate aggRel, GBInfo gbInfo) throws SemanticException {
    OpAttr mapSideGB = null;
    OpAttr mapSideRS = null;
    OpAttr reduceSideGB = null;
    // 1. Insert MapSide GB
    mapSideGB = genMapSideGB(inputOpAf, gbInfo);
    // 2. Insert MapSide RS
    mapSideRS = genMapSideGBRS(mapSideGB, gbInfo);
    // 3. Insert ReduceSide GB
    reduceSideGB = genReduceSideGB1(mapSideRS, gbInfo, false, false, GroupByDesc.Mode.MERGEPARTIAL);
    return reduceSideGB;
}

Example 3 with OpAttr

use of org.apache.hadoop.hive.ql.optimizer.calcite.translator.HiveOpConverter.OpAttr in project hive by apache.

the class HiveGBOpConvUtil method genReduceGBRS.

private static OpAttr genReduceGBRS(OpAttr inputOpAf, GBInfo gbInfo) throws SemanticException {
    Map<String, ExprNodeDesc> colExprMap = new HashMap<String, ExprNodeDesc>();
    ArrayList<String> outputColumnNames = new ArrayList<String>();
    ArrayList<ColumnInfo> colInfoLst = new ArrayList<ColumnInfo>();
    GroupByOperator reduceSideGB1 = (GroupByOperator) inputOpAf.inputs.get(0);
    List<ColumnInfo> gb1ColInfoLst = reduceSideGB1.getSchema().getSignature();
    ArrayList<ExprNodeDesc> reduceKeys = getReduceKeysForRS(reduceSideGB1, 0, gbInfo.gbKeys.size() - 1, outputColumnNames, false, colInfoLst, colExprMap, true, true);
    if (inclGrpSetInReduceSide(gbInfo)) {
        addGrpSetCol(false, gb1ColInfoLst.get(reduceKeys.size()).getInternalName(), true, reduceKeys, outputColumnNames, colInfoLst, colExprMap);
    }
    ArrayList<ExprNodeDesc> reduceValues = getValueKeysForRS(reduceSideGB1, reduceSideGB1.getConf().getKeys().size(), outputColumnNames, colInfoLst, colExprMap, true, true);
    ReduceSinkOperator rsOp = (ReduceSinkOperator) OperatorFactory.getAndMakeChild(PlanUtils.getReduceSinkDesc(reduceKeys, reduceValues, outputColumnNames, true, -1, getNumPartFieldsForReduceSideRS(gbInfo), getParallelismForReduceSideRS(gbInfo), AcidUtils.Operation.NOT_ACID), new RowSchema(colInfoLst), reduceSideGB1);
    rsOp.setColumnExprMap(colExprMap);
    return new OpAttr("", new HashSet<Integer>(), rsOp);
}

Example 4 with OpAttr

use of org.apache.hadoop.hive.ql.optimizer.calcite.translator.HiveOpConverter.OpAttr in project hive by apache.

the class HiveGBOpConvUtil method genNoMapSideGBNoSkew.

/**
   * RS-Gb1
   *
   * @param inputOpAf
   * @param aggRel
   * @param gbInfo
   * @return
   * @throws SemanticException
   */
private static OpAttr genNoMapSideGBNoSkew(OpAttr inputOpAf, HiveAggregate aggRel, GBInfo gbInfo) throws SemanticException {
    OpAttr mapSideRS = null;
    OpAttr reduceSideGB1NoMapGB = null;
    // 1. Insert MapSide RS
    mapSideRS = genMapSideRS(inputOpAf, gbInfo);
    // 2. Insert ReduceSide GB
    reduceSideGB1NoMapGB = genReduceSideGB1NoMapGB(mapSideRS, gbInfo, GroupByDesc.Mode.COMPLETE);
    return reduceSideGB1NoMapGB;
}

Example 5 with OpAttr

use of org.apache.hadoop.hive.ql.optimizer.calcite.translator.HiveOpConverter.OpAttr in project hive by apache.

the class HiveGBOpConvUtil method genReduceSideGB2.

private static OpAttr genReduceSideGB2(OpAttr inputOpAf, GBInfo gbInfo) throws SemanticException {
    ArrayList<String> outputColNames = new ArrayList<String>();
    ArrayList<ColumnInfo> colInfoLst = new ArrayList<ColumnInfo>();
    Map<String, ExprNodeDesc> colExprMap = new HashMap<String, ExprNodeDesc>();
    String colOutputName = null;
    ReduceSinkOperator rs = (ReduceSinkOperator) inputOpAf.inputs.get(0);
    List<ColumnInfo> rsColInfoLst = rs.getSchema().getSignature();
    ColumnInfo ci;
    // 1. Build GB Keys, grouping set starting position
    // 1.1 First Add original GB Keys
    ArrayList<ExprNodeDesc> gbKeys = ExprNodeDescUtils.genExprNodeDesc(rs, 0, gbInfo.gbKeys.size() - 1, false, false);
    for (int i = 0; i < gbInfo.gbKeys.size(); i++) {
        ci = rsColInfoLst.get(i);
        colOutputName = gbInfo.outputColNames.get(i);
        outputColNames.add(colOutputName);
        colInfoLst.add(new ColumnInfo(colOutputName, ci.getType(), "", false));
        colExprMap.put(colOutputName, gbKeys.get(i));
    }
    // 1.2 Add GrpSet Col
    int groupingSetsPosition = -1;
    if (inclGrpSetInReduceSide(gbInfo) && gbInfo.grpIdFunctionNeeded) {
        groupingSetsPosition = gbKeys.size();
        ExprNodeDesc grpSetColExpr = new ExprNodeColumnDesc(TypeInfoFactory.stringTypeInfo, rsColInfoLst.get(groupingSetsPosition).getInternalName(), null, false);
        gbKeys.add(grpSetColExpr);
        colOutputName = gbInfo.outputColNames.get(gbInfo.outputColNames.size() - 1);
        ;
        outputColNames.add(colOutputName);
        colInfoLst.add(new ColumnInfo(colOutputName, TypeInfoFactory.stringTypeInfo, null, true));
        colExprMap.put(colOutputName, grpSetColExpr);
    }
    // 2. Add UDAF
    UDAFAttrs udafAttr;
    ArrayList<AggregationDesc> aggregations = new ArrayList<AggregationDesc>();
    int udafStartPosInGBInfOutputColNames = gbInfo.grpSets.isEmpty() ? gbInfo.gbKeys.size() : gbInfo.gbKeys.size() * 2;
    int udafStartPosInInputRS = gbInfo.grpSets.isEmpty() ? gbInfo.gbKeys.size() : gbInfo.gbKeys.size() + 1;
    for (int i = 0; i < gbInfo.udafAttrs.size(); i++) {
        udafAttr = gbInfo.udafAttrs.get(i);
        ArrayList<ExprNodeDesc> aggParameters = new ArrayList<ExprNodeDesc>();
        aggParameters.add(new ExprNodeColumnDesc(rsColInfoLst.get(udafStartPosInInputRS + i)));
        colOutputName = gbInfo.outputColNames.get(udafStartPosInGBInfOutputColNames + i);
        outputColNames.add(colOutputName);
        Mode udafMode = SemanticAnalyzer.groupByDescModeToUDAFMode(GroupByDesc.Mode.FINAL, udafAttr.isDistinctUDAF);
        GenericUDAFInfo udaf = SemanticAnalyzer.getGenericUDAFInfo(udafAttr.udafEvaluator, udafMode, aggParameters);
        aggregations.add(new AggregationDesc(udafAttr.udafName.toLowerCase(), udaf.genericUDAFEvaluator, udaf.convertedParameters, false, udafMode));
        colInfoLst.add(new ColumnInfo(colOutputName, udaf.returnType, "", false));
    }
    Operator rsGBOp2 = OperatorFactory.getAndMakeChild(new GroupByDesc(GroupByDesc.Mode.FINAL, outputColNames, gbKeys, aggregations, false, gbInfo.groupByMemoryUsage, gbInfo.memoryThreshold, null, false, groupingSetsPosition, gbInfo.containsDistinctAggr), new RowSchema(colInfoLst), rs);
    rsGBOp2.setColumnExprMap(colExprMap);
    // TODO: Shouldn't we propgate vc? is it vc col from tab or all vc
    return new OpAttr("", new HashSet<Integer>(), rsGBOp2);
}