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

Example 66 with ExprNodeColumnDesc

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

the class ExprProcFactory method getExprString.

/**
 * Get the expression string of an expression node.
 */
public static String getExprString(RowSchema rs, ExprNodeDesc expr, LineageCtx lctx, Operator<? extends OperatorDesc> inpOp, Predicate cond) {
    if (expr instanceof ExprNodeColumnDesc) {
        ExprNodeColumnDesc col = (ExprNodeColumnDesc) expr;
        String internalName = col.getColumn();
        String alias = internalName;
        String tabAlias = col.getTabAlias();
        ColumnInfo ci = rs.getColumnInfo(internalName);
        if (ci != null) {
            if (ci.getAlias() != null) {
                alias = ci.getAlias();
            }
            if (ci.getTabAlias() != null) {
                tabAlias = ci.getTabAlias();
            }
        }
        Dependency dep = lctx.getIndex().getDependency(inpOp, internalName);
        if ((tabAlias == null || tabAlias.startsWith("_") || tabAlias.startsWith("$")) && (dep != null && dep.getType() == DependencyType.SIMPLE)) {
            Set<BaseColumnInfo> baseCols = dep.getBaseCols();
            if (baseCols != null && !baseCols.isEmpty()) {
                BaseColumnInfo baseCol = baseCols.iterator().next();
                tabAlias = baseCol.getTabAlias().getAlias();
                alias = baseCol.getColumn().getName();
            }
        }
        if (tabAlias != null && tabAlias.length() > 0 && !tabAlias.startsWith("_") && !tabAlias.startsWith("$")) {
            if (cond != null && !findSourceColumn(lctx, cond, tabAlias, alias) && dep != null) {
                cond.getBaseCols().addAll(dep.getBaseCols());
            }
            return tabAlias + "." + alias;
        }
        if (dep != null) {
            if (cond != null) {
                cond.getBaseCols().addAll(dep.getBaseCols());
            }
            if (dep.getExpr() != null) {
                return dep.getExpr();
            }
        }
        if (alias.startsWith("_")) {
            ci = inpOp.getSchema().getColumnInfo(internalName);
            if (ci != null && ci.getAlias() != null) {
                alias = ci.getAlias();
            }
        }
        return alias;
    } else if (expr instanceof ExprNodeGenericFuncDesc) {
        ExprNodeGenericFuncDesc func = (ExprNodeGenericFuncDesc) expr;
        List<ExprNodeDesc> children = func.getChildren();
        String[] childrenExprStrings = new String[children.size()];
        for (int i = 0; i < childrenExprStrings.length; i++) {
            childrenExprStrings[i] = getExprString(rs, children.get(i), lctx, inpOp, cond);
        }
        return func.getGenericUDF().getDisplayString(childrenExprStrings);
    }
    return expr.getExprString();
}

Example 67 with ExprNodeColumnDesc

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

the class BucketingSortingOpProcFactory method findBucketingSortingColumns.

/**
 * For each expression, check if it represents a column known to be bucketed/sorted.
 *
 * The methods setBucketingColsIfComplete and setSortingColsIfComplete should be used to assign
 * the values of newBucketCols and newSortCols as the bucketing/sorting columns of this operator
 * because these arrays may contain nulls indicating that the output of this operator is not
 * bucketed/sorted.
 *
 * @param exprs - list of expression
 * @param colInfos - list of column infos
 * @param bucketCols - list of bucketed columns from the input
 * @param sortCols - list of sorted columns from the input
 * @param newBucketCols - an array of bucket columns which should be the same length as
 *    bucketCols, updated such that the bucketed column(s) at index i in bucketCols became
 *    the bucketed column(s) at index i of newBucketCols in the output
 * @param newSortCols - an array of sort columns which should be the same length as
 *    sortCols, updated such that the sorted column(s) at index i in sortCols became
 *    the sorted column(s) at index i of sortCols in the output
 * @param colInfosOffset - the expressions are known to be represented by column infos
 *    beginning at this index
 */
private static void findBucketingSortingColumns(List<ExprNodeDesc> exprs, List<ColumnInfo> colInfos, List<BucketCol> bucketCols, List<SortCol> sortCols, BucketCol[] newBucketCols, SortCol[] newSortCols, int colInfosOffset) {
    for (int cnt = 0; cnt < exprs.size(); cnt++) {
        ExprNodeDesc expr = exprs.get(cnt);
        // voids any assumptions
        if (!(expr instanceof ExprNodeColumnDesc)) {
            continue;
        }
        ExprNodeColumnDesc columnExpr = (ExprNodeColumnDesc) expr;
        int colInfosIndex = cnt + colInfosOffset;
        if (newBucketCols != null) {
            int bucketIndex = indexOfColName(bucketCols, columnExpr.getColumn());
            if (bucketIndex != -1) {
                if (newBucketCols[bucketIndex] == null) {
                    newBucketCols[bucketIndex] = new BucketCol();
                }
                newBucketCols[bucketIndex].addAlias(colInfos.get(colInfosIndex).getInternalName(), colInfosIndex);
            }
        }
        if (newSortCols != null) {
            int sortIndex = indexOfColName(sortCols, columnExpr.getColumn());
            if (sortIndex != -1) {
                if (newSortCols[sortIndex] == null) {
                    newSortCols[sortIndex] = new SortCol(sortCols.get(sortIndex).getSortOrder());
                }
                newSortCols[sortIndex].addAlias(colInfos.get(colInfosIndex).getInternalName(), colInfosIndex);
            }
        }
    }
}

Example 68 with ExprNodeColumnDesc

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

the class GenMRSkewJoinProcessor method processSkewJoin.

/**
 * Create tasks for processing skew joins. The idea is (HIVE-964) to use
 * separated jobs and map-joins to handle skew joins.
 * <p>
 * <ul>
 * <li>
 * Number of mr jobs to handle skew keys is the number of table minus 1 (we
 * can stream the last table, so big keys in the last table will not be a
 * problem).
 * <li>
 * At runtime in Join, we output big keys in one table into one corresponding
 * directories, and all same keys in other tables into different dirs(one for
 * each table). The directories will look like:
 * <ul>
 * <li>
 * dir-T1-bigkeys(containing big keys in T1), dir-T2-keys(containing keys
 * which is big in T1),dir-T3-keys(containing keys which is big in T1), ...
 * <li>
 * dir-T1-keys(containing keys which is big in T2), dir-T2-bigkeys(containing
 * big keys in T2),dir-T3-keys(containing keys which is big in T2), ...
 * <li>
 * dir-T1-keys(containing keys which is big in T3), dir-T2-keys(containing big
 * keys in T3),dir-T3-bigkeys(containing keys which is big in T3), ... .....
 * </ul>
 * </ul>
 * For each table, we launch one mapjoin job, taking the directory containing
 * big keys in this table and corresponding dirs in other tables as input.
 * (Actally one job for one row in the above.)
 *
 * <p>
 * For more discussions, please check
 * https://issues.apache.org/jira/browse/HIVE-964.
 */
@SuppressWarnings("unchecked")
public static void processSkewJoin(JoinOperator joinOp, Task<? extends Serializable> currTask, ParseContext parseCtx) throws SemanticException {
    // now does not work with outer joins
    if (!GenMRSkewJoinProcessor.skewJoinEnabled(parseCtx.getConf(), joinOp)) {
        return;
    }
    List<Task<? extends Serializable>> children = currTask.getChildTasks();
    Path baseTmpDir = parseCtx.getContext().getMRTmpPath();
    JoinDesc joinDescriptor = joinOp.getConf();
    Map<Byte, List<ExprNodeDesc>> joinValues = joinDescriptor.getExprs();
    int numAliases = joinValues.size();
    Map<Byte, Path> bigKeysDirMap = new HashMap<Byte, Path>();
    Map<Byte, Map<Byte, Path>> smallKeysDirMap = new HashMap<Byte, Map<Byte, Path>>();
    Map<Byte, Path> skewJoinJobResultsDir = new HashMap<Byte, Path>();
    Byte[] tags = joinDescriptor.getTagOrder();
    for (int i = 0; i < numAliases; i++) {
        Byte alias = tags[i];
        bigKeysDirMap.put(alias, getBigKeysDir(baseTmpDir, alias));
        Map<Byte, Path> smallKeysMap = new HashMap<Byte, Path>();
        smallKeysDirMap.put(alias, smallKeysMap);
        for (Byte src2 : tags) {
            if (!src2.equals(alias)) {
                smallKeysMap.put(src2, getSmallKeysDir(baseTmpDir, alias, src2));
            }
        }
        skewJoinJobResultsDir.put(alias, getBigKeysSkewJoinResultDir(baseTmpDir, alias));
    }
    joinDescriptor.setHandleSkewJoin(true);
    joinDescriptor.setBigKeysDirMap(bigKeysDirMap);
    joinDescriptor.setSmallKeysDirMap(smallKeysDirMap);
    joinDescriptor.setSkewKeyDefinition(HiveConf.getIntVar(parseCtx.getConf(), HiveConf.ConfVars.HIVESKEWJOINKEY));
    HashMap<Path, Task<? extends Serializable>> bigKeysDirToTaskMap = new HashMap<Path, Task<? extends Serializable>>();
    List<Serializable> listWorks = new ArrayList<Serializable>();
    List<Task<? extends Serializable>> listTasks = new ArrayList<Task<? extends Serializable>>();
    MapredWork currPlan = (MapredWork) currTask.getWork();
    TableDesc keyTblDesc = (TableDesc) currPlan.getReduceWork().getKeyDesc().clone();
    List<String> joinKeys = Utilities.getColumnNames(keyTblDesc.getProperties());
    List<String> joinKeyTypes = Utilities.getColumnTypes(keyTblDesc.getProperties());
    Map<Byte, TableDesc> tableDescList = new HashMap<Byte, TableDesc>();
    Map<Byte, RowSchema> rowSchemaList = new HashMap<Byte, RowSchema>();
    Map<Byte, List<ExprNodeDesc>> newJoinValues = new HashMap<Byte, List<ExprNodeDesc>>();
    Map<Byte, List<ExprNodeDesc>> newJoinKeys = new HashMap<Byte, List<ExprNodeDesc>>();
    // used for create mapJoinDesc, should be in order
    List<TableDesc> newJoinValueTblDesc = new ArrayList<TableDesc>();
    for (Byte tag : tags) {
        newJoinValueTblDesc.add(null);
    }
    for (int i = 0; i < numAliases; i++) {
        Byte alias = tags[i];
        List<ExprNodeDesc> valueCols = joinValues.get(alias);
        String colNames = "";
        String colTypes = "";
        int columnSize = valueCols.size();
        List<ExprNodeDesc> newValueExpr = new ArrayList<ExprNodeDesc>();
        List<ExprNodeDesc> newKeyExpr = new ArrayList<ExprNodeDesc>();
        ArrayList<ColumnInfo> columnInfos = new ArrayList<ColumnInfo>();
        boolean first = true;
        for (int k = 0; k < columnSize; k++) {
            TypeInfo type = valueCols.get(k).getTypeInfo();
            // any name, it does not matter.
            String newColName = i + "_VALUE_" + k;
            ColumnInfo columnInfo = new ColumnInfo(newColName, type, alias.toString(), false);
            columnInfos.add(columnInfo);
            newValueExpr.add(new ExprNodeColumnDesc(columnInfo));
            if (!first) {
                colNames = colNames + ",";
                colTypes = colTypes + ",";
            }
            first = false;
            colNames = colNames + newColName;
            colTypes = colTypes + valueCols.get(k).getTypeString();
        }
        // we are putting join keys at last part of the spilled table
        for (int k = 0; k < joinKeys.size(); k++) {
            if (!first) {
                colNames = colNames + ",";
                colTypes = colTypes + ",";
            }
            first = false;
            colNames = colNames + joinKeys.get(k);
            colTypes = colTypes + joinKeyTypes.get(k);
            ColumnInfo columnInfo = new ColumnInfo(joinKeys.get(k), TypeInfoFactory.getPrimitiveTypeInfo(joinKeyTypes.get(k)), alias.toString(), false);
            columnInfos.add(columnInfo);
            newKeyExpr.add(new ExprNodeColumnDesc(columnInfo));
        }
        newJoinValues.put(alias, newValueExpr);
        newJoinKeys.put(alias, newKeyExpr);
        tableDescList.put(alias, Utilities.getTableDesc(colNames, colTypes));
        rowSchemaList.put(alias, new RowSchema(columnInfos));
        // construct value table Desc
        String valueColNames = "";
        String valueColTypes = "";
        first = true;
        for (int k = 0; k < columnSize; k++) {
            // any name, it does not matter.
            String newColName = i + "_VALUE_" + k;
            if (!first) {
                valueColNames = valueColNames + ",";
                valueColTypes = valueColTypes + ",";
            }
            valueColNames = valueColNames + newColName;
            valueColTypes = valueColTypes + valueCols.get(k).getTypeString();
            first = false;
        }
        newJoinValueTblDesc.set(Byte.valueOf((byte) i), Utilities.getTableDesc(valueColNames, valueColTypes));
    }
    joinDescriptor.setSkewKeysValuesTables(tableDescList);
    joinDescriptor.setKeyTableDesc(keyTblDesc);
    for (int i = 0; i < numAliases - 1; i++) {
        Byte src = tags[i];
        MapWork newPlan = PlanUtils.getMapRedWork().getMapWork();
        // This code has been only added for testing
        boolean mapperCannotSpanPartns = parseCtx.getConf().getBoolVar(HiveConf.ConfVars.HIVE_MAPPER_CANNOT_SPAN_MULTIPLE_PARTITIONS);
        newPlan.setMapperCannotSpanPartns(mapperCannotSpanPartns);
        MapredWork clonePlan = SerializationUtilities.clonePlan(currPlan);
        Operator<? extends OperatorDesc>[] parentOps = new TableScanOperator[tags.length];
        for (int k = 0; k < tags.length; k++) {
            Operator<? extends OperatorDesc> ts = GenMapRedUtils.createTemporaryTableScanOperator(joinOp.getCompilationOpContext(), rowSchemaList.get((byte) k));
            ((TableScanOperator) ts).setTableDescSkewJoin(tableDescList.get((byte) k));
            parentOps[k] = ts;
        }
        Operator<? extends OperatorDesc> tblScan_op = parentOps[i];
        ArrayList<String> aliases = new ArrayList<String>();
        String alias = src.toString().intern();
        aliases.add(alias);
        Path bigKeyDirPath = bigKeysDirMap.get(src);
        newPlan.addPathToAlias(bigKeyDirPath, aliases);
        newPlan.getAliasToWork().put(alias, tblScan_op);
        PartitionDesc part = new PartitionDesc(tableDescList.get(src), null);
        newPlan.addPathToPartitionInfo(bigKeyDirPath, part);
        newPlan.getAliasToPartnInfo().put(alias, part);
        Operator<? extends OperatorDesc> reducer = clonePlan.getReduceWork().getReducer();
        assert reducer instanceof JoinOperator;
        JoinOperator cloneJoinOp = (JoinOperator) reducer;
        String dumpFilePrefix = "mapfile" + PlanUtils.getCountForMapJoinDumpFilePrefix();
        MapJoinDesc mapJoinDescriptor = new MapJoinDesc(newJoinKeys, keyTblDesc, newJoinValues, newJoinValueTblDesc, newJoinValueTblDesc, joinDescriptor.getOutputColumnNames(), i, joinDescriptor.getConds(), joinDescriptor.getFilters(), joinDescriptor.getNoOuterJoin(), dumpFilePrefix, joinDescriptor.getMemoryMonitorInfo(), joinDescriptor.getInMemoryDataSize());
        mapJoinDescriptor.setTagOrder(tags);
        mapJoinDescriptor.setHandleSkewJoin(false);
        mapJoinDescriptor.setNullSafes(joinDescriptor.getNullSafes());
        mapJoinDescriptor.setColumnExprMap(joinDescriptor.getColumnExprMap());
        MapredLocalWork localPlan = new MapredLocalWork(new LinkedHashMap<String, Operator<? extends OperatorDesc>>(), new LinkedHashMap<String, FetchWork>());
        Map<Byte, Path> smallTblDirs = smallKeysDirMap.get(src);
        for (int j = 0; j < numAliases; j++) {
            if (j == i) {
                continue;
            }
            Byte small_alias = tags[j];
            Operator<? extends OperatorDesc> tblScan_op2 = parentOps[j];
            localPlan.getAliasToWork().put(small_alias.toString(), tblScan_op2);
            Path tblDir = smallTblDirs.get(small_alias);
            localPlan.getAliasToFetchWork().put(small_alias.toString(), new FetchWork(tblDir, tableDescList.get(small_alias)));
        }
        newPlan.setMapRedLocalWork(localPlan);
        // construct a map join and set it as the child operator of tblScan_op
        MapJoinOperator mapJoinOp = (MapJoinOperator) OperatorFactory.getAndMakeChild(joinOp.getCompilationOpContext(), mapJoinDescriptor, (RowSchema) null, parentOps);
        // change the children of the original join operator to point to the map
        // join operator
        List<Operator<? extends OperatorDesc>> childOps = cloneJoinOp.getChildOperators();
        for (Operator<? extends OperatorDesc> childOp : childOps) {
            childOp.replaceParent(cloneJoinOp, mapJoinOp);
        }
        mapJoinOp.setChildOperators(childOps);
        HiveConf jc = new HiveConf(parseCtx.getConf(), GenMRSkewJoinProcessor.class);
        newPlan.setNumMapTasks(HiveConf.getIntVar(jc, HiveConf.ConfVars.HIVESKEWJOINMAPJOINNUMMAPTASK));
        newPlan.setMinSplitSize(HiveConf.getLongVar(jc, HiveConf.ConfVars.HIVESKEWJOINMAPJOINMINSPLIT));
        newPlan.setInputformat(HiveInputFormat.class.getName());
        MapredWork w = new MapredWork();
        w.setMapWork(newPlan);
        Task<? extends Serializable> skewJoinMapJoinTask = TaskFactory.get(w);
        skewJoinMapJoinTask.setFetchSource(currTask.isFetchSource());
        bigKeysDirToTaskMap.put(bigKeyDirPath, skewJoinMapJoinTask);
        listWorks.add(skewJoinMapJoinTask.getWork());
        listTasks.add(skewJoinMapJoinTask);
    }
    if (children != null) {
        for (Task<? extends Serializable> tsk : listTasks) {
            for (Task<? extends Serializable> oldChild : children) {
                tsk.addDependentTask(oldChild);
            }
        }
        currTask.setChildTasks(new ArrayList<Task<? extends Serializable>>());
        for (Task<? extends Serializable> oldChild : children) {
            oldChild.getParentTasks().remove(currTask);
        }
        listTasks.addAll(children);
    }
    ConditionalResolverSkewJoinCtx context = new ConditionalResolverSkewJoinCtx(bigKeysDirToTaskMap, children);
    ConditionalWork cndWork = new ConditionalWork(listWorks);
    ConditionalTask cndTsk = (ConditionalTask) TaskFactory.get(cndWork);
    cndTsk.setListTasks(listTasks);
    cndTsk.setResolver(new ConditionalResolverSkewJoin());
    cndTsk.setResolverCtx(context);
    currTask.setChildTasks(new ArrayList<Task<? extends Serializable>>());
    currTask.addDependentTask(cndTsk);
    return;
}

Example 69 with ExprNodeColumnDesc

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

the class VectorGroupByOperatorBench method buildAggregationDesc.

private AggregationDesc buildAggregationDesc(String aggregate, GenericUDAFEvaluator.Mode mode, String column, TypeInfo typeInfo) throws SemanticException {
    ExprNodeDesc inputColumn = new ExprNodeColumnDesc(typeInfo, column, "table", false);
    ArrayList<ExprNodeDesc> params = new ArrayList<ExprNodeDesc>();
    params.add(inputColumn);
    AggregationDesc agg = new AggregationDesc();
    ObjectInspector oi = TypeInfoUtils.getStandardJavaObjectInspectorFromTypeInfo(typeInfo);
    GenericUDAFEvaluator genericUDAFEvaluator = FunctionRegistry.getGenericUDAFEvaluator(aggregate, ImmutableList.of(oi).asList(), false, false);
    agg.setGenericUDAFEvaluator(genericUDAFEvaluator);
    if (aggregate.equals("bloom_filter")) {
        GenericUDAFBloomFilter.GenericUDAFBloomFilterEvaluator udafBloomFilterEvaluator = (GenericUDAFBloomFilter.GenericUDAFBloomFilterEvaluator) agg.getGenericUDAFEvaluator();
        udafBloomFilterEvaluator.setHintEntries(10000);
    }
    agg.setGenericUDAFName(aggregate);
    agg.setMode(mode);
    agg.setParameters(params);
    return agg;
}

Example 70 with ExprNodeColumnDesc

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

the class VectorSelectOperatorBench method setup.

@Setup
public void setup(Blackhole bh) throws HiveException {
    HiveConf hconf = new HiveConf();
    List<String> columns = new ArrayList<String>();
    columns.add("a");
    columns.add("b");
    columns.add("c");
    VectorizationContext vc = new VectorizationContext("name", columns);
    selDesc = new SelectDesc(false);
    List<ExprNodeDesc> colList = new ArrayList<ExprNodeDesc>();
    ExprNodeColumnDesc colDesc1 = new ExprNodeColumnDesc(Long.class, "a", "table", false);
    ExprNodeColumnDesc colDesc2 = new ExprNodeColumnDesc(Long.class, "b", "table", false);
    ExprNodeColumnDesc colDesc3 = new ExprNodeColumnDesc(Long.class, "c", "table", false);
    ExprNodeGenericFuncDesc plusDesc = new ExprNodeGenericFuncDesc();
    GenericUDF gudf = new GenericUDFOPPlus();
    plusDesc.setGenericUDF(gudf);
    List<ExprNodeDesc> children = new ArrayList<ExprNodeDesc>();
    children.add(colDesc1);
    children.add(colDesc2);
    plusDesc.setChildren(children);
    plusDesc.setTypeInfo(TypeInfoFactory.longTypeInfo);
    colList.add(plusDesc);
    colList.add(colDesc3);
    selDesc.setColList(colList);
    List<String> outputColNames = new ArrayList<String>();
    outputColNames.add("_col0");
    outputColNames.add("_col1");
    selDesc.setOutputColumnNames(outputColNames);
    VectorSelectDesc vectorSelectDesc = new VectorSelectDesc();
    selDesc.setVectorDesc(vectorSelectDesc);
    List<ExprNodeDesc> selectColList = selDesc.getColList();
    VectorExpression[] vectorSelectExprs = new VectorExpression[selectColList.size()];
    for (int i = 0; i < selectColList.size(); i++) {
        ExprNodeDesc expr = selectColList.get(i);
        VectorExpression ve = vc.getVectorExpression(expr);
        vectorSelectExprs[i] = ve;
    }
    vectorSelectDesc.setSelectExpressions(vectorSelectExprs);
    vectorSelectDesc.setProjectedOutputColumns(new int[] { 3, 2 });
    CompilationOpContext opContext = new CompilationOpContext();
    vso = new VectorSelectOperator(opContext, selDesc, vc, vectorSelectDesc);
    // to trigger vectorForward
    child = new ArrayList<>();
    child.add(new BlackholeOperator(opContext, bh));
    child.add(new BlackholeOperator(opContext, bh));
    vso.initialize(hconf, null);
    vrg = VectorizedRowGroupGenUtil.getVectorizedRowBatch(VectorizedRowBatch.DEFAULT_SIZE, 4, 17);
}