Examples with ReduceSinkDesc org.apache.hadoop.hive.ql.plan.ReduceSinkDesc used on opensource projects

Example 26 with ReduceSinkDesc

use of org.apache.hadoop.hive.ql.plan.ReduceSinkDesc in project hive by apache.

the class JoinVisitor method genJoin.

private JoinOperator genJoin(RelNode join, ExprNodeDesc[][] joinExpressions, List<List<ExprNodeDesc>> filterExpressions, List<Operator<?>> children, String[] baseSrc, String tabAlias) throws SemanticException {
    // 1. Extract join type
    JoinCondDesc[] joinCondns;
    boolean semiJoin;
    boolean noOuterJoin;
    if (join instanceof HiveMultiJoin) {
        HiveMultiJoin hmj = (HiveMultiJoin) join;
        joinCondns = new JoinCondDesc[hmj.getJoinInputs().size()];
        for (int i = 0; i < hmj.getJoinInputs().size(); i++) {
            joinCondns[i] = new JoinCondDesc(new JoinCond(hmj.getJoinInputs().get(i).left, hmj.getJoinInputs().get(i).right, transformJoinType(hmj.getJoinTypes().get(i))));
        }
        semiJoin = false;
        noOuterJoin = !hmj.isOuterJoin();
    } else {
        joinCondns = new JoinCondDesc[1];
        JoinRelType joinRelType = JoinRelType.INNER;
        if (join instanceof Join) {
            joinRelType = ((Join) join).getJoinType();
        }
        JoinType joinType;
        switch(joinRelType) {
            case SEMI:
                joinType = JoinType.LEFTSEMI;
                semiJoin = true;
                break;
            case ANTI:
                joinType = JoinType.ANTI;
                semiJoin = true;
                break;
            default:
                assert join instanceof Join;
                joinType = transformJoinType(((Join) join).getJoinType());
                semiJoin = false;
        }
        joinCondns[0] = new JoinCondDesc(new JoinCond(0, 1, joinType));
        noOuterJoin = joinType != JoinType.FULLOUTER && joinType != JoinType.LEFTOUTER && joinType != JoinType.RIGHTOUTER;
    }
    // 2. We create the join aux structures
    ArrayList<ColumnInfo> outputColumns = new ArrayList<ColumnInfo>();
    ArrayList<String> outputColumnNames = new ArrayList<String>(join.getRowType().getFieldNames());
    Operator<?>[] childOps = new Operator[children.size()];
    Map<String, Byte> reversedExprs = new HashMap<String, Byte>();
    Map<Byte, List<ExprNodeDesc>> exprMap = new HashMap<Byte, List<ExprNodeDesc>>();
    Map<Byte, List<ExprNodeDesc>> filters = new HashMap<Byte, List<ExprNodeDesc>>();
    Map<String, ExprNodeDesc> colExprMap = new HashMap<String, ExprNodeDesc>();
    HashMap<Integer, Set<String>> posToAliasMap = new HashMap<Integer, Set<String>>();
    int outputPos = 0;
    for (int pos = 0; pos < children.size(); pos++) {
        // 2.1. Backtracking from RS
        ReduceSinkOperator inputRS = (ReduceSinkOperator) children.get(pos);
        if (inputRS.getNumParent() != 1) {
            throw new SemanticException("RS should have single parent");
        }
        Operator<?> parent = inputRS.getParentOperators().get(0);
        ReduceSinkDesc rsDesc = inputRS.getConf();
        int[] index = inputRS.getValueIndex();
        Byte tag = (byte) rsDesc.getTag();
        // 2.1.1. If semijoin...
        if (semiJoin && pos != 0) {
            exprMap.put(tag, new ArrayList<ExprNodeDesc>());
            childOps[pos] = inputRS;
            continue;
        }
        posToAliasMap.put(pos, new HashSet<String>(inputRS.getSchema().getTableNames()));
        List<String> keyColNames = rsDesc.getOutputKeyColumnNames();
        List<String> valColNames = rsDesc.getOutputValueColumnNames();
        Map<String, ExprNodeDesc> descriptors = buildBacktrackFromReduceSinkForJoin(outputPos, outputColumnNames, keyColNames, valColNames, index, parent, baseSrc[pos]);
        List<ColumnInfo> parentColumns = parent.getSchema().getSignature();
        for (int i = 0; i < index.length; i++) {
            ColumnInfo info = new ColumnInfo(parentColumns.get(i));
            info.setInternalName(outputColumnNames.get(outputPos));
            info.setTabAlias(tabAlias);
            outputColumns.add(info);
            reversedExprs.put(outputColumnNames.get(outputPos), tag);
            outputPos++;
        }
        exprMap.put(tag, new ArrayList<ExprNodeDesc>(descriptors.values()));
        colExprMap.putAll(descriptors);
        childOps[pos] = inputRS;
    }
    // 3. We populate the filters and filterMap structure needed in the join descriptor
    List<List<ExprNodeDesc>> filtersPerInput = Lists.newArrayList();
    int[][] filterMap = new int[children.size()][];
    for (int i = 0; i < children.size(); i++) {
        filtersPerInput.add(new ArrayList<ExprNodeDesc>());
    }
    // 3. We populate the filters structure
    for (int i = 0; i < filterExpressions.size(); i++) {
        int leftPos = joinCondns[i].getLeft();
        int rightPos = joinCondns[i].getRight();
        for (ExprNodeDesc expr : filterExpressions.get(i)) {
            // We need to update the exprNode, as currently
            // they refer to columns in the output of the join;
            // they should refer to the columns output by the RS
            int inputPos = updateExprNode(expr, reversedExprs, colExprMap);
            if (inputPos == -1) {
                inputPos = leftPos;
            }
            filtersPerInput.get(inputPos).add(expr);
            if (joinCondns[i].getType() == JoinDesc.FULL_OUTER_JOIN || joinCondns[i].getType() == JoinDesc.LEFT_OUTER_JOIN || joinCondns[i].getType() == JoinDesc.RIGHT_OUTER_JOIN) {
                if (inputPos == leftPos) {
                    updateFilterMap(filterMap, leftPos, rightPos);
                } else {
                    updateFilterMap(filterMap, rightPos, leftPos);
                }
            }
        }
    }
    for (int pos = 0; pos < children.size(); pos++) {
        ReduceSinkOperator inputRS = (ReduceSinkOperator) children.get(pos);
        ReduceSinkDesc rsDesc = inputRS.getConf();
        Byte tag = (byte) rsDesc.getTag();
        filters.put(tag, filtersPerInput.get(pos));
    }
    // 4. We create the join operator with its descriptor
    JoinDesc desc = new JoinDesc(exprMap, outputColumnNames, noOuterJoin, joinCondns, filters, joinExpressions, null);
    desc.setReversedExprs(reversedExprs);
    desc.setFilterMap(filterMap);
    JoinOperator joinOp = (JoinOperator) OperatorFactory.getAndMakeChild(childOps[0].getCompilationOpContext(), desc, new RowSchema(outputColumns), childOps);
    joinOp.setColumnExprMap(colExprMap);
    joinOp.setPosToAliasMap(posToAliasMap);
    joinOp.getConf().setBaseSrc(baseSrc);
    if (LOG.isDebugEnabled()) {
        LOG.debug("Generated " + joinOp + " with row schema: [" + joinOp.getSchema() + "]");
    }
    return joinOp;
}

Example 27 with ReduceSinkDesc

use of org.apache.hadoop.hive.ql.plan.ReduceSinkDesc in project hive by apache.

the class Vectorizer method vectorizeOperator.

public Operator<? extends OperatorDesc> vectorizeOperator(Operator<? extends OperatorDesc> op, VectorizationContext vContext, boolean isTezOrSpark, VectorTaskColumnInfo vectorTaskColumnInfo) throws HiveException {
    Operator<? extends OperatorDesc> vectorOp = null;
    boolean isNative;
    switch(op.getType()) {
        case TABLESCAN:
            vectorOp = vectorizeTableScanOperator(op, vContext);
            isNative = true;
            break;
        case MAPJOIN:
            {
                if (op instanceof MapJoinOperator) {
                    VectorMapJoinInfo vectorMapJoinInfo = new VectorMapJoinInfo();
                    MapJoinDesc desc = (MapJoinDesc) op.getConf();
                    boolean specialize = canSpecializeMapJoin(op, desc, isTezOrSpark, vContext, vectorMapJoinInfo);
                    if (!specialize) {
                        Class<? extends Operator<?>> opClass = null;
                        // *NON-NATIVE* vector map differences for LEFT OUTER JOIN and Filtered...
                        List<ExprNodeDesc> bigTableFilters = desc.getFilters().get((byte) desc.getPosBigTable());
                        boolean isOuterAndFiltered = (!desc.isNoOuterJoin() && bigTableFilters.size() > 0);
                        if (!isOuterAndFiltered) {
                            opClass = VectorMapJoinOperator.class;
                        } else {
                            opClass = VectorMapJoinOuterFilteredOperator.class;
                        }
                        vectorOp = OperatorFactory.getVectorOperator(opClass, op.getCompilationOpContext(), op.getConf(), vContext);
                        isNative = false;
                    } else {
                        // TEMPORARY Until Native Vector Map Join with Hybrid passes tests...
                        // HiveConf.setBoolVar(physicalContext.getConf(),
                        //    HiveConf.ConfVars.HIVEUSEHYBRIDGRACEHASHJOIN, false);
                        vectorOp = specializeMapJoinOperator(op, vContext, desc, vectorMapJoinInfo);
                        isNative = true;
                        if (vectorTaskColumnInfo != null) {
                            if (usesVectorUDFAdaptor(vectorMapJoinInfo.getBigTableKeyExpressions())) {
                                vectorTaskColumnInfo.setUsesVectorUDFAdaptor(true);
                            }
                            if (usesVectorUDFAdaptor(vectorMapJoinInfo.getBigTableValueExpressions())) {
                                vectorTaskColumnInfo.setUsesVectorUDFAdaptor(true);
                            }
                        }
                    }
                } else {
                    Preconditions.checkState(op instanceof SMBMapJoinOperator);
                    SMBJoinDesc smbJoinSinkDesc = (SMBJoinDesc) op.getConf();
                    VectorSMBJoinDesc vectorSMBJoinDesc = new VectorSMBJoinDesc();
                    smbJoinSinkDesc.setVectorDesc(vectorSMBJoinDesc);
                    vectorOp = OperatorFactory.getVectorOperator(op.getCompilationOpContext(), smbJoinSinkDesc, vContext);
                    isNative = false;
                }
            }
            break;
        case REDUCESINK:
            {
                VectorReduceSinkInfo vectorReduceSinkInfo = new VectorReduceSinkInfo();
                ReduceSinkDesc desc = (ReduceSinkDesc) op.getConf();
                boolean specialize = canSpecializeReduceSink(desc, isTezOrSpark, vContext, vectorReduceSinkInfo);
                if (!specialize) {
                    vectorOp = OperatorFactory.getVectorOperator(op.getCompilationOpContext(), op.getConf(), vContext);
                    isNative = false;
                } else {
                    vectorOp = specializeReduceSinkOperator(op, vContext, desc, vectorReduceSinkInfo);
                    isNative = true;
                    if (vectorTaskColumnInfo != null) {
                        if (usesVectorUDFAdaptor(vectorReduceSinkInfo.getReduceSinkKeyExpressions())) {
                            vectorTaskColumnInfo.setUsesVectorUDFAdaptor(true);
                        }
                        if (usesVectorUDFAdaptor(vectorReduceSinkInfo.getReduceSinkValueExpressions())) {
                            vectorTaskColumnInfo.setUsesVectorUDFAdaptor(true);
                        }
                    }
                }
            }
            break;
        case FILTER:
            {
                vectorOp = vectorizeFilterOperator(op, vContext);
                isNative = true;
                if (vectorTaskColumnInfo != null) {
                    VectorFilterDesc vectorFilterDesc = (VectorFilterDesc) ((AbstractOperatorDesc) vectorOp.getConf()).getVectorDesc();
                    VectorExpression vectorPredicateExpr = vectorFilterDesc.getPredicateExpression();
                    if (usesVectorUDFAdaptor(vectorPredicateExpr)) {
                        vectorTaskColumnInfo.setUsesVectorUDFAdaptor(true);
                    }
                }
            }
            break;
        case SELECT:
            {
                vectorOp = vectorizeSelectOperator(op, vContext);
                isNative = true;
                if (vectorTaskColumnInfo != null) {
                    VectorSelectDesc vectorSelectDesc = (VectorSelectDesc) ((AbstractOperatorDesc) vectorOp.getConf()).getVectorDesc();
                    VectorExpression[] vectorSelectExprs = vectorSelectDesc.getSelectExpressions();
                    if (usesVectorUDFAdaptor(vectorSelectExprs)) {
                        vectorTaskColumnInfo.setUsesVectorUDFAdaptor(true);
                    }
                }
            }
            break;
        case GROUPBY:
            {
                vectorOp = vectorizeGroupByOperator(op, vContext);
                isNative = false;
                if (vectorTaskColumnInfo != null) {
                    VectorGroupByDesc vectorGroupByDesc = (VectorGroupByDesc) ((AbstractOperatorDesc) vectorOp.getConf()).getVectorDesc();
                    if (!vectorGroupByDesc.isVectorOutput()) {
                        vectorTaskColumnInfo.setGroupByVectorOutput(false);
                    }
                    VectorExpression[] vecKeyExpressions = vectorGroupByDesc.getKeyExpressions();
                    if (usesVectorUDFAdaptor(vecKeyExpressions)) {
                        vectorTaskColumnInfo.setUsesVectorUDFAdaptor(true);
                    }
                    VectorAggregateExpression[] vecAggregators = vectorGroupByDesc.getAggregators();
                    for (VectorAggregateExpression vecAggr : vecAggregators) {
                        if (usesVectorUDFAdaptor(vecAggr.inputExpression())) {
                            vectorTaskColumnInfo.setUsesVectorUDFAdaptor(true);
                        }
                    }
                }
            }
            break;
        case FILESINK:
            {
                FileSinkDesc fileSinkDesc = (FileSinkDesc) op.getConf();
                VectorFileSinkDesc vectorFileSinkDesc = new VectorFileSinkDesc();
                fileSinkDesc.setVectorDesc(vectorFileSinkDesc);
                vectorOp = OperatorFactory.getVectorOperator(op.getCompilationOpContext(), fileSinkDesc, vContext);
                isNative = false;
            }
            break;
        case LIMIT:
            {
                LimitDesc limitDesc = (LimitDesc) op.getConf();
                VectorLimitDesc vectorLimitDesc = new VectorLimitDesc();
                limitDesc.setVectorDesc(vectorLimitDesc);
                vectorOp = OperatorFactory.getVectorOperator(op.getCompilationOpContext(), limitDesc, vContext);
                isNative = true;
            }
            break;
        case EVENT:
            {
                AppMasterEventDesc eventDesc = (AppMasterEventDesc) op.getConf();
                VectorAppMasterEventDesc vectorEventDesc = new VectorAppMasterEventDesc();
                eventDesc.setVectorDesc(vectorEventDesc);
                vectorOp = OperatorFactory.getVectorOperator(op.getCompilationOpContext(), eventDesc, vContext);
                isNative = true;
            }
            break;
        case HASHTABLESINK:
            {
                SparkHashTableSinkDesc sparkHashTableSinkDesc = (SparkHashTableSinkDesc) op.getConf();
                VectorSparkHashTableSinkDesc vectorSparkHashTableSinkDesc = new VectorSparkHashTableSinkDesc();
                sparkHashTableSinkDesc.setVectorDesc(vectorSparkHashTableSinkDesc);
                vectorOp = OperatorFactory.getVectorOperator(op.getCompilationOpContext(), sparkHashTableSinkDesc, vContext);
                isNative = true;
            }
            break;
        case SPARKPRUNINGSINK:
            {
                SparkPartitionPruningSinkDesc sparkPartitionPruningSinkDesc = (SparkPartitionPruningSinkDesc) op.getConf();
                VectorSparkPartitionPruningSinkDesc vectorSparkPartitionPruningSinkDesc = new VectorSparkPartitionPruningSinkDesc();
                sparkPartitionPruningSinkDesc.setVectorDesc(vectorSparkPartitionPruningSinkDesc);
                vectorOp = OperatorFactory.getVectorOperator(op.getCompilationOpContext(), sparkPartitionPruningSinkDesc, vContext);
                isNative = true;
            }
            break;
        default:
            // These are children of GROUP BY operators with non-vector outputs.
            isNative = false;
            vectorOp = op;
            break;
    }
    Preconditions.checkState(vectorOp != null);
    if (vectorTaskColumnInfo != null && !isNative) {
        vectorTaskColumnInfo.setAllNative(false);
    }
    LOG.debug("vectorizeOperator " + vectorOp.getClass().getName());
    LOG.debug("vectorizeOperator " + vectorOp.getConf().getClass().getName());
    if (vectorOp != op) {
        fixupParentChildOperators(op, vectorOp);
        ((AbstractOperatorDesc) vectorOp.getConf()).setVectorMode(true);
    }
    return vectorOp;
}

Example 28 with ReduceSinkDesc

use of org.apache.hadoop.hive.ql.plan.ReduceSinkDesc in project hive by apache.

the class HiveOpConverter method genJoin.

private static JoinOperator genJoin(RelNode join, ExprNodeDesc[][] joinExpressions, List<List<ExprNodeDesc>> filterExpressions, List<Operator<?>> children, String[] baseSrc, String tabAlias) throws SemanticException {
    // 1. Extract join type
    JoinCondDesc[] joinCondns;
    boolean semiJoin;
    boolean noOuterJoin;
    if (join instanceof HiveMultiJoin) {
        HiveMultiJoin hmj = (HiveMultiJoin) join;
        joinCondns = new JoinCondDesc[hmj.getJoinInputs().size()];
        for (int i = 0; i < hmj.getJoinInputs().size(); i++) {
            joinCondns[i] = new JoinCondDesc(new JoinCond(hmj.getJoinInputs().get(i).left, hmj.getJoinInputs().get(i).right, transformJoinType(hmj.getJoinTypes().get(i))));
        }
        semiJoin = false;
        noOuterJoin = !hmj.isOuterJoin();
    } else {
        joinCondns = new JoinCondDesc[1];
        semiJoin = join instanceof SemiJoin;
        JoinType joinType;
        if (semiJoin) {
            joinType = JoinType.LEFTSEMI;
        } else {
            joinType = extractJoinType((Join) join);
        }
        joinCondns[0] = new JoinCondDesc(new JoinCond(0, 1, joinType));
        noOuterJoin = joinType != JoinType.FULLOUTER && joinType != JoinType.LEFTOUTER && joinType != JoinType.RIGHTOUTER;
    }
    // 2. We create the join aux structures
    ArrayList<ColumnInfo> outputColumns = new ArrayList<ColumnInfo>();
    ArrayList<String> outputColumnNames = new ArrayList<String>(join.getRowType().getFieldNames());
    Operator<?>[] childOps = new Operator[children.size()];
    Map<String, Byte> reversedExprs = new HashMap<String, Byte>();
    Map<Byte, List<ExprNodeDesc>> exprMap = new HashMap<Byte, List<ExprNodeDesc>>();
    Map<Byte, List<ExprNodeDesc>> filters = new HashMap<Byte, List<ExprNodeDesc>>();
    Map<String, ExprNodeDesc> colExprMap = new HashMap<String, ExprNodeDesc>();
    HashMap<Integer, Set<String>> posToAliasMap = new HashMap<Integer, Set<String>>();
    int outputPos = 0;
    for (int pos = 0; pos < children.size(); pos++) {
        // 2.1. Backtracking from RS
        ReduceSinkOperator inputRS = (ReduceSinkOperator) children.get(pos);
        if (inputRS.getNumParent() != 1) {
            throw new SemanticException("RS should have single parent");
        }
        Operator<?> parent = inputRS.getParentOperators().get(0);
        ReduceSinkDesc rsDesc = inputRS.getConf();
        int[] index = inputRS.getValueIndex();
        Byte tag = (byte) rsDesc.getTag();
        // 2.1.1. If semijoin...
        if (semiJoin && pos != 0) {
            exprMap.put(tag, new ArrayList<ExprNodeDesc>());
            childOps[pos] = inputRS;
            continue;
        }
        posToAliasMap.put(pos, new HashSet<String>(inputRS.getSchema().getTableNames()));
        List<String> keyColNames = rsDesc.getOutputKeyColumnNames();
        List<String> valColNames = rsDesc.getOutputValueColumnNames();
        Map<String, ExprNodeDesc> descriptors = buildBacktrackFromReduceSinkForJoin(outputPos, outputColumnNames, keyColNames, valColNames, index, parent, baseSrc[pos]);
        List<ColumnInfo> parentColumns = parent.getSchema().getSignature();
        for (int i = 0; i < index.length; i++) {
            ColumnInfo info = new ColumnInfo(parentColumns.get(i));
            info.setInternalName(outputColumnNames.get(outputPos));
            info.setTabAlias(tabAlias);
            outputColumns.add(info);
            reversedExprs.put(outputColumnNames.get(outputPos), tag);
            outputPos++;
        }
        exprMap.put(tag, new ArrayList<ExprNodeDesc>(descriptors.values()));
        colExprMap.putAll(descriptors);
        childOps[pos] = inputRS;
    }
    // 3. We populate the filters and filterMap structure needed in the join descriptor
    List<List<ExprNodeDesc>> filtersPerInput = Lists.newArrayList();
    int[][] filterMap = new int[children.size()][];
    for (int i = 0; i < children.size(); i++) {
        filtersPerInput.add(new ArrayList<ExprNodeDesc>());
    }
    // 3. We populate the filters structure
    for (int i = 0; i < filterExpressions.size(); i++) {
        int leftPos = joinCondns[i].getLeft();
        int rightPos = joinCondns[i].getRight();
        for (ExprNodeDesc expr : filterExpressions.get(i)) {
            // We need to update the exprNode, as currently
            // they refer to columns in the output of the join;
            // they should refer to the columns output by the RS
            int inputPos = updateExprNode(expr, reversedExprs, colExprMap);
            if (inputPos == -1) {
                inputPos = leftPos;
            }
            filtersPerInput.get(inputPos).add(expr);
            if (joinCondns[i].getType() == JoinDesc.FULL_OUTER_JOIN || joinCondns[i].getType() == JoinDesc.LEFT_OUTER_JOIN || joinCondns[i].getType() == JoinDesc.RIGHT_OUTER_JOIN) {
                if (inputPos == leftPos) {
                    updateFilterMap(filterMap, leftPos, rightPos);
                } else {
                    updateFilterMap(filterMap, rightPos, leftPos);
                }
            }
        }
    }
    for (int pos = 0; pos < children.size(); pos++) {
        ReduceSinkOperator inputRS = (ReduceSinkOperator) children.get(pos);
        ReduceSinkDesc rsDesc = inputRS.getConf();
        Byte tag = (byte) rsDesc.getTag();
        filters.put(tag, filtersPerInput.get(pos));
    }
    // 4. We create the join operator with its descriptor
    JoinDesc desc = new JoinDesc(exprMap, outputColumnNames, noOuterJoin, joinCondns, filters, joinExpressions, null);
    desc.setReversedExprs(reversedExprs);
    desc.setFilterMap(filterMap);
    JoinOperator joinOp = (JoinOperator) OperatorFactory.getAndMakeChild(childOps[0].getCompilationOpContext(), desc, new RowSchema(outputColumns), childOps);
    joinOp.setColumnExprMap(colExprMap);
    joinOp.setPosToAliasMap(posToAliasMap);
    joinOp.getConf().setBaseSrc(baseSrc);
    if (LOG.isDebugEnabled()) {
        LOG.debug("Generated " + joinOp + " with row schema: [" + joinOp.getSchema() + "]");
    }
    return joinOp;
}

Example 29 with ReduceSinkDesc

use of org.apache.hadoop.hive.ql.plan.ReduceSinkDesc in project hive by apache.

the class GenMapRedUtils method initUnionPlan.

/**
 * Initialize the current union plan.
 *
 * @param op
 *          the reduce sink operator encountered
 * @param opProcCtx
 *          processing context
 */
public static void initUnionPlan(ReduceSinkOperator op, UnionOperator currUnionOp, GenMRProcContext opProcCtx, Task<? extends Serializable> unionTask) throws SemanticException {
    Operator<? extends OperatorDesc> reducer = op.getChildOperators().get(0);
    MapredWork plan = (MapredWork) unionTask.getWork();
    HashMap<Operator<? extends OperatorDesc>, Task<? extends Serializable>> opTaskMap = opProcCtx.getOpTaskMap();
    opTaskMap.put(reducer, unionTask);
    plan.setReduceWork(new ReduceWork());
    plan.getReduceWork().setReducer(reducer);
    plan.getReduceWork().setReducer(reducer);
    ReduceSinkDesc desc = op.getConf();
    plan.getReduceWork().setNumReduceTasks(desc.getNumReducers());
    if (needsTagging(plan.getReduceWork())) {
        plan.getReduceWork().setNeedsTagging(true);
    }
    initUnionPlan(opProcCtx, currUnionOp, unionTask, false);
}

Example 30 with ReduceSinkDesc

use of org.apache.hadoop.hive.ql.plan.ReduceSinkDesc in project hive by apache.

the class SemanticAnalyzer method genReduceSinkPlan.

@SuppressWarnings("nls")
private Operator genReduceSinkPlan(Operator<?> input, ArrayList<ExprNodeDesc> partitionCols, ArrayList<ExprNodeDesc> sortCols, String sortOrder, String nullOrder, int numReducers, AcidUtils.Operation acidOp, boolean pullConstants) throws SemanticException {
    RowResolver inputRR = opParseCtx.get(input).getRowResolver();
    Operator dummy = Operator.createDummy();
    dummy.setParentOperators(Arrays.asList(input));
    ArrayList<ExprNodeDesc> newSortCols = new ArrayList<ExprNodeDesc>();
    StringBuilder newSortOrder = new StringBuilder();
    StringBuilder newNullOrder = new StringBuilder();
    ArrayList<ExprNodeDesc> sortColsBack = new ArrayList<ExprNodeDesc>();
    for (int i = 0; i < sortCols.size(); i++) {
        ExprNodeDesc sortCol = sortCols.get(i);
        // we are pulling constants but this is not a constant
        if (!pullConstants || !(sortCol instanceof ExprNodeConstantDesc)) {
            newSortCols.add(sortCol);
            newSortOrder.append(sortOrder.charAt(i));
            newNullOrder.append(nullOrder.charAt(i));
            sortColsBack.add(ExprNodeDescUtils.backtrack(sortCol, dummy, input));
        }
    }
    // For the generation of the values expression just get the inputs
    // signature and generate field expressions for those
    RowResolver rsRR = new RowResolver();
    ArrayList<String> outputColumns = new ArrayList<String>();
    ArrayList<ExprNodeDesc> valueCols = new ArrayList<ExprNodeDesc>();
    ArrayList<ExprNodeDesc> valueColsBack = new ArrayList<ExprNodeDesc>();
    Map<String, ExprNodeDesc> colExprMap = new HashMap<String, ExprNodeDesc>();
    ArrayList<ExprNodeDesc> constantCols = new ArrayList<ExprNodeDesc>();
    ArrayList<ColumnInfo> columnInfos = inputRR.getColumnInfos();
    int[] index = new int[columnInfos.size()];
    for (int i = 0; i < index.length; i++) {
        ColumnInfo colInfo = columnInfos.get(i);
        String[] nm = inputRR.reverseLookup(colInfo.getInternalName());
        String[] nm2 = inputRR.getAlternateMappings(colInfo.getInternalName());
        ExprNodeColumnDesc value = new ExprNodeColumnDesc(colInfo);
        // backtrack can be null when input is script operator
        ExprNodeDesc valueBack = ExprNodeDescUtils.backtrack(value, dummy, input);
        if (pullConstants && valueBack instanceof ExprNodeConstantDesc) {
            // ignore, it will be generated by SEL op
            index[i] = Integer.MAX_VALUE;
            constantCols.add(valueBack);
            continue;
        }
        int kindex = valueBack == null ? -1 : ExprNodeDescUtils.indexOf(valueBack, sortColsBack);
        if (kindex >= 0) {
            index[i] = kindex;
            ColumnInfo newColInfo = new ColumnInfo(colInfo);
            newColInfo.setInternalName(Utilities.ReduceField.KEY + ".reducesinkkey" + kindex);
            newColInfo.setTabAlias(nm[0]);
            rsRR.put(nm[0], nm[1], newColInfo);
            if (nm2 != null) {
                rsRR.addMappingOnly(nm2[0], nm2[1], newColInfo);
            }
            continue;
        }
        int vindex = valueBack == null ? -1 : ExprNodeDescUtils.indexOf(valueBack, valueColsBack);
        if (vindex >= 0) {
            index[i] = -vindex - 1;
            continue;
        }
        index[i] = -valueCols.size() - 1;
        String outputColName = getColumnInternalName(valueCols.size());
        valueCols.add(value);
        valueColsBack.add(valueBack);
        ColumnInfo newColInfo = new ColumnInfo(colInfo);
        newColInfo.setInternalName(Utilities.ReduceField.VALUE + "." + outputColName);
        newColInfo.setTabAlias(nm[0]);
        rsRR.put(nm[0], nm[1], newColInfo);
        if (nm2 != null) {
            rsRR.addMappingOnly(nm2[0], nm2[1], newColInfo);
        }
        outputColumns.add(outputColName);
    }
    dummy.setParentOperators(null);
    ReduceSinkDesc rsdesc = PlanUtils.getReduceSinkDesc(newSortCols, valueCols, outputColumns, false, -1, partitionCols, newSortOrder.toString(), newNullOrder.toString(), numReducers, acidOp);
    Operator interim = putOpInsertMap(OperatorFactory.getAndMakeChild(rsdesc, new RowSchema(rsRR.getColumnInfos()), input), rsRR);
    List<String> keyColNames = rsdesc.getOutputKeyColumnNames();
    for (int i = 0; i < keyColNames.size(); i++) {
        colExprMap.put(Utilities.ReduceField.KEY + "." + keyColNames.get(i), sortCols.get(i));
    }
    List<String> valueColNames = rsdesc.getOutputValueColumnNames();
    for (int i = 0; i < valueColNames.size(); i++) {
        colExprMap.put(Utilities.ReduceField.VALUE + "." + valueColNames.get(i), valueCols.get(i));
    }
    interim.setColumnExprMap(colExprMap);
    RowResolver selectRR = new RowResolver();
    ArrayList<ExprNodeDesc> selCols = new ArrayList<ExprNodeDesc>();
    ArrayList<String> selOutputCols = new ArrayList<String>();
    Map<String, ExprNodeDesc> selColExprMap = new HashMap<String, ExprNodeDesc>();
    Iterator<ExprNodeDesc> constants = constantCols.iterator();
    for (int i = 0; i < index.length; i++) {
        ColumnInfo prev = columnInfos.get(i);
        String[] nm = inputRR.reverseLookup(prev.getInternalName());
        String[] nm2 = inputRR.getAlternateMappings(prev.getInternalName());
        ColumnInfo info = new ColumnInfo(prev);
        ExprNodeDesc desc;
        if (index[i] == Integer.MAX_VALUE) {
            desc = constants.next();
        } else {
            String field;
            if (index[i] >= 0) {
                field = Utilities.ReduceField.KEY + "." + keyColNames.get(index[i]);
            } else {
                field = Utilities.ReduceField.VALUE + "." + valueColNames.get(-index[i] - 1);
            }
            desc = new ExprNodeColumnDesc(info.getType(), field, info.getTabAlias(), info.getIsVirtualCol());
        }
        selCols.add(desc);
        String internalName = getColumnInternalName(i);
        info.setInternalName(internalName);
        selectRR.put(nm[0], nm[1], info);
        if (nm2 != null) {
            selectRR.addMappingOnly(nm2[0], nm2[1], info);
        }
        selOutputCols.add(internalName);
        selColExprMap.put(internalName, desc);
    }
    SelectDesc select = new SelectDesc(selCols, selOutputCols);
    Operator output = putOpInsertMap(OperatorFactory.getAndMakeChild(select, new RowSchema(selectRR.getColumnInfos()), interim), selectRR);
    output.setColumnExprMap(selColExprMap);
    return output;
}