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

Example 26 with GroupByDesc

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

the class TestVectorGroupByOperator method buildGroupByDescType.

private static GroupByDesc buildGroupByDescType(VectorizationContext ctx, String aggregate, GenericUDAFEvaluator.Mode mode, String column, TypeInfo dataType) {
    AggregationDesc agg = buildAggregationDesc(ctx, aggregate, mode, column, dataType);
    ArrayList<AggregationDesc> aggs = new ArrayList<AggregationDesc>();
    aggs.add(agg);
    ArrayList<String> outputColumnNames = new ArrayList<String>();
    outputColumnNames.add("_col0");
    GroupByDesc desc = new GroupByDesc();
    desc.setVectorDesc(new VectorGroupByDesc());
    desc.setOutputColumnNames(outputColumnNames);
    desc.setAggregators(aggs);
    ((VectorGroupByDesc) desc.getVectorDesc()).setProcessingMode(ProcessingMode.GLOBAL);
    return desc;
}

Example 27 with GroupByDesc

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

the class SemanticAnalyzer method genMapGroupByForSemijoin.

private // the
Operator genMapGroupByForSemijoin(// the
QB qb, // the
ArrayList<ASTNode> fields, // "tab.col"
Operator inputOperatorInfo, GroupByDesc.Mode mode) throws SemanticException {
    RowResolver groupByInputRowResolver = opParseCtx.get(inputOperatorInfo).getRowResolver();
    RowResolver groupByOutputRowResolver = new RowResolver();
    ArrayList<ExprNodeDesc> groupByKeys = new ArrayList<ExprNodeDesc>();
    ArrayList<String> outputColumnNames = new ArrayList<String>();
    ArrayList<AggregationDesc> aggregations = new ArrayList<AggregationDesc>();
    Map<String, ExprNodeDesc> colExprMap = new HashMap<String, ExprNodeDesc>();
    qb.getParseInfo();
    // join keys should only
    groupByOutputRowResolver.setIsExprResolver(true);
    for (int i = 0; i < fields.size(); ++i) {
        // get the group by keys to ColumnInfo
        ASTNode colName = fields.get(i);
        ExprNodeDesc grpByExprNode = genExprNodeDesc(colName, groupByInputRowResolver);
        groupByKeys.add(grpByExprNode);
        // generate output column names
        String field = getColumnInternalName(i);
        outputColumnNames.add(field);
        ColumnInfo colInfo2 = new ColumnInfo(field, grpByExprNode.getTypeInfo(), "", false);
        groupByOutputRowResolver.putExpression(colName, colInfo2);
        // establish mapping from the output column to the input column
        colExprMap.put(field, grpByExprNode);
    }
    // Generate group-by operator
    float groupByMemoryUsage = HiveConf.getFloatVar(conf, HiveConf.ConfVars.HIVEMAPAGGRHASHMEMORY);
    float memoryThreshold = HiveConf.getFloatVar(conf, HiveConf.ConfVars.HIVEMAPAGGRMEMORYTHRESHOLD);
    Operator op = putOpInsertMap(OperatorFactory.getAndMakeChild(new GroupByDesc(mode, outputColumnNames, groupByKeys, aggregations, false, groupByMemoryUsage, memoryThreshold, null, false, -1, false), new RowSchema(groupByOutputRowResolver.getColumnInfos()), inputOperatorInfo), groupByOutputRowResolver);
    op.setColumnExprMap(colExprMap);
    return op;
}