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

Example 1 with WindowFunctionDef

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

the class PTFTranslator method buildRowResolverForWindowing.

protected RowResolver buildRowResolverForWindowing(WindowTableFunctionDef def) throws SemanticException {
    RowResolver rr = new RowResolver();
    HashMap<String, WindowExpressionSpec> aliasToExprMap = windowingSpec.getAliasToWdwExpr();
    /*
     * add Window Functions
     */
    for (WindowFunctionDef wFnDef : def.getWindowFunctions()) {
        ASTNode ast = aliasToExprMap.get(wFnDef.getAlias()).getExpression();
        ObjectInspector wFnOI = null;
        if (wFnDef.isPivotResult()) {
            wFnOI = ((ListObjectInspector) wFnDef.getOI()).getListElementObjectInspector();
        } else {
            wFnOI = wFnDef.getOI();
        }
        ColumnInfo cInfo = new ColumnInfo(wFnDef.getAlias(), TypeInfoUtils.getTypeInfoFromObjectInspector(wFnOI), null, true, true);
        rr.putExpression(ast, cInfo);
    }
    RowResolver inpRR = def.getRawInputShape().getRr();
    /*
     * add columns from inpRR
     */
    for (ColumnInfo inpCInfo : inputRR.getColumnInfos()) {
        ColumnInfo cInfo = new ColumnInfo(inpCInfo);
        ASTNode inExpr = PTFTranslator.getASTNode(inpCInfo, inpRR);
        if (inExpr != null) {
            rr.putExpression(inExpr, cInfo);
        } else {
            String[] tabColAlias = inputRR.reverseLookup(inpCInfo.getInternalName());
            if (tabColAlias != null) {
                rr.put(tabColAlias[0], tabColAlias[1], cInfo);
            } else {
                rr.put(inpCInfo.getTabAlias(), inpCInfo.getAlias(), cInfo);
            }
        }
        String[] altMapping = inputRR.getAlternateMappings(inpCInfo.getInternalName());
        if (altMapping != null) {
            rr.put(altMapping[0], altMapping[1], cInfo);
        }
    }
    return rr;
}

Example 2 with WindowFunctionDef

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

the class PTFDeserializer method initializeWindowing.

public void initializeWindowing(WindowTableFunctionDef def) throws HiveException {
    ShapeDetails inpShape = def.getInput().getOutputShape();
    /*
     * 1. setup resolve, make connections
     */
    TableFunctionEvaluator tEval = def.getTFunction();
    WindowingTableFunctionResolver tResolver = (WindowingTableFunctionResolver) constructResolver(def.getResolverClassName());
    tResolver.initialize(ptfDesc, def, tEval);
    /*
     * 2. initialize WFns.
     */
    for (WindowFunctionDef wFnDef : def.getWindowFunctions()) {
        if (wFnDef.getArgs() != null) {
            for (PTFExpressionDef arg : wFnDef.getArgs()) {
                initialize(arg, inpShape);
            }
        }
        if (wFnDef.getWindowFrame() != null) {
            WindowFrameDef wFrmDef = wFnDef.getWindowFrame();
            initialize(wFrmDef, inpShape);
        }
        setupWdwFnEvaluator(wFnDef);
    }
    ArrayList<String> aliases = new ArrayList<String>();
    ArrayList<ObjectInspector> fieldOIs = new ArrayList<ObjectInspector>();
    for (WindowFunctionDef wFnDef : def.getWindowFunctions()) {
        aliases.add(wFnDef.getAlias());
        if (wFnDef.isPivotResult()) {
            fieldOIs.add(((ListObjectInspector) wFnDef.getOI()).getListElementObjectInspector());
        } else {
            fieldOIs.add(wFnDef.getOI());
        }
    }
    PTFDeserializer.addInputColumnsToList(inpShape, aliases, fieldOIs);
    StructObjectInspector wdwOutOI = ObjectInspectorFactory.getStandardStructObjectInspector(aliases, fieldOIs);
    tResolver.setWdwProcessingOutputOI(wdwOutOI);
    initialize(def.getOutputShape(), wdwOutOI);
    tResolver.initializeOutputOI();
}

Example 3 with WindowFunctionDef

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

the class WindowingTableFunction method execute.

@SuppressWarnings({ "unchecked", "rawtypes" })
@Override
public void execute(PTFPartitionIterator<Object> pItr, PTFPartition outP) throws HiveException {
    ArrayList<List<?>> oColumns = new ArrayList<List<?>>();
    PTFPartition iPart = pItr.getPartition();
    StructObjectInspector inputOI = iPart.getOutputOI();
    WindowTableFunctionDef wTFnDef = (WindowTableFunctionDef) getTableDef();
    for (WindowFunctionDef wFn : wTFnDef.getWindowFunctions()) {
        boolean processWindow = processWindow(wFn.getWindowFrame());
        pItr.reset();
        if (!processWindow) {
            Object out = evaluateFunctionOnPartition(wFn, iPart);
            if (!wFn.isPivotResult()) {
                out = new SameList(iPart.size(), out);
            }
            oColumns.add((List<?>) out);
        } else {
            oColumns.add(executeFnwithWindow(wFn, iPart));
        }
    }
    for (int i = 0; i < iPart.size(); i++) {
        ArrayList oRow = new ArrayList();
        Object iRow = iPart.getAt(i);
        for (int j = 0; j < oColumns.size(); j++) {
            oRow.add(oColumns.get(j).get(i));
        }
        for (StructField f : inputOI.getAllStructFieldRefs()) {
            oRow.add(inputOI.getStructFieldData(iRow, f));
        }
        outP.append(oRow);
    }
}

Example 4 with WindowFunctionDef

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

the class WindowingTableFunction method initializeWindowingFunctionInfoHelpers.

private void initializeWindowingFunctionInfoHelpers() throws SemanticException {
    // to the object during the map/reduce tasks.
    if (windowingFunctionHelpers != null) {
        return;
    }
    windowingFunctionHelpers = new HashMap<String, WindowingFunctionInfoHelper>();
    WindowTableFunctionDef tabDef = (WindowTableFunctionDef) getTableDef();
    for (int i = 0; i < tabDef.getWindowFunctions().size(); i++) {
        WindowFunctionDef wFn = tabDef.getWindowFunctions().get(i);
        WindowFunctionInfo wFnInfo = FunctionRegistry.getWindowFunctionInfo(wFn.getName());
        boolean supportsWindow = wFnInfo.isSupportsWindow();
        windowingFunctionHelpers.put(wFn.getName(), new WindowingFunctionInfoHelper(supportsWindow));
    }
}

Example 5 with WindowFunctionDef

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

the class WindowingTableFunction method processRow.

/*
   * (non-Javadoc)
   * 
   * @see
   * org.apache.hadoop.hive.ql.udf.ptf.TableFunctionEvaluator#processRow(java
   * .lang.Object)
   * 
   * - hand row to each Function, provided there are enough rows for Function's
   * window. - call getNextObject on each Function. - output as many rows as
   * possible, based on minimum sz of Output List
   */
@Override
public List<Object> processRow(Object row) throws HiveException {
    /*
     * Once enough rows have been output, there is no need to process input rows.
     */
    if (streamingState.rankLimitReached()) {
        return null;
    }
    streamingState.rollingPart.append(row);
    WindowTableFunctionDef tabDef = (WindowTableFunctionDef) tableDef;
    for (int i = 0; i < tabDef.getWindowFunctions().size(); i++) {
        WindowFunctionDef wFn = tabDef.getWindowFunctions().get(i);
        GenericUDAFEvaluator fnEval = wFn.getWFnEval();
        int a = 0;
        if (wFn.getArgs() != null) {
            for (PTFExpressionDef arg : wFn.getArgs()) {
                streamingState.funcArgs[i][a++] = arg.getExprEvaluator().evaluate(row);
            }
        }
        if (fnEval != null && fnEval instanceof ISupportStreamingModeForWindowing) {
            fnEval.aggregate(streamingState.aggBuffers[i], streamingState.funcArgs[i]);
            Object out = ((ISupportStreamingModeForWindowing) fnEval).getNextResult(streamingState.aggBuffers[i]);
            if (out != null) {
                streamingState.fnOutputs[i].add(out == ISupportStreamingModeForWindowing.NULL_RESULT ? null : out);
            }
        } else {
            int rowToProcess = streamingState.rollingPart.rowToProcess(wFn.getWindowFrame());
            if (rowToProcess >= 0) {
                Object out = evaluateWindowFunction(wFn, rowToProcess, streamingState.rollingPart);
                streamingState.fnOutputs[i].add(out);
            }
        }
    }
    List<Object> oRows = new ArrayList<Object>();
    while (true) {
        boolean hasRow = streamingState.hasOutputRow();
        if (!hasRow) {
            break;
        }
        oRows.add(streamingState.nextOutputRow());
    }
    return oRows.size() == 0 ? null : oRows;
}