Examples with Dispatcher org.apache.hadoop.hive.ql.lib.Dispatcher used on opensource projects

Example 21 with Dispatcher

use of org.apache.hadoop.hive.ql.lib.Dispatcher in project hive by apache.

the class SimplePredicatePushDown method transform.

@Override
public ParseContext transform(ParseContext pctx) throws SemanticException {
    pGraphContext = pctx;
    // create a the context for walking operators
    OpWalkerInfo opWalkerInfo = new OpWalkerInfo(pGraphContext);
    Map<Rule, NodeProcessor> opRules = new LinkedHashMap<Rule, NodeProcessor>();
    opRules.put(new RuleRegExp("R1", FilterOperator.getOperatorName() + "%"), OpProcFactory.getFilterSyntheticJoinPredicateProc());
    opRules.put(new RuleRegExp("R2", PTFOperator.getOperatorName() + "%"), OpProcFactory.getPTFProc());
    opRules.put(new RuleRegExp("R3", CommonJoinOperator.getOperatorName() + "%"), OpProcFactory.getJoinProc());
    opRules.put(new RuleRegExp("R4", TableScanOperator.getOperatorName() + "%"), OpProcFactory.getTSProc());
    opRules.put(new RuleRegExp("R5", ScriptOperator.getOperatorName() + "%"), OpProcFactory.getSCRProc());
    opRules.put(new RuleRegExp("R6", LimitOperator.getOperatorName() + "%"), OpProcFactory.getLIMProc());
    opRules.put(new RuleRegExp("R7", UDTFOperator.getOperatorName() + "%"), OpProcFactory.getUDTFProc());
    opRules.put(new RuleRegExp("R8", LateralViewForwardOperator.getOperatorName() + "%"), OpProcFactory.getLVFProc());
    opRules.put(new RuleRegExp("R9", LateralViewJoinOperator.getOperatorName() + "%"), OpProcFactory.getLVJProc());
    opRules.put(new RuleRegExp("R10", ReduceSinkOperator.getOperatorName() + "%"), OpProcFactory.getRSProc());
    // The dispatcher fires the processor corresponding to the closest matching
    // rule and passes the context along
    Dispatcher disp = new DefaultRuleDispatcher(OpProcFactory.getDefaultProc(), opRules, opWalkerInfo);
    GraphWalker ogw = new DefaultGraphWalker(disp);
    // Create a list of topop nodes
    ArrayList<Node> topNodes = new ArrayList<Node>();
    topNodes.addAll(pGraphContext.getTopOps().values());
    ogw.startWalking(topNodes, null);
    if (LOG.isDebugEnabled()) {
        LOG.debug("After PPD:\n" + Operator.toString(pctx.getTopOps().values()));
    }
    return pGraphContext;
}

Example 22 with Dispatcher

use of org.apache.hadoop.hive.ql.lib.Dispatcher in project SQLWindowing by hbutani.

the class WindowingTypeCheckProcFactory method genExprNode.

public static HashMap<Node, Object> genExprNode(ASTNode expr, TypeCheckCtx tcCtx) throws SemanticException {
    // Create the walker, the rules dispatcher and the context.
    // create a walker which walks the tree in a DFS manner while
    // maintaining
    // the operator stack. The dispatcher
    // generates the plan from the operator tree
    Map<Rule, NodeProcessor> opRules = new LinkedHashMap<Rule, NodeProcessor>();
    opRules.put(new RuleRegExp("R1", Windowing2Parser.NULL + "%"), getNullExprProcessor());
    opRules.put(new RuleRegExp("R2", Windowing2Parser.Number + "%|" + Windowing2Parser.TinyintLiteral + "%|" + Windowing2Parser.SmallintLiteral + "%|" + Windowing2Parser.BigintLiteral + "%"), getNumExprProcessor());
    opRules.put(new RuleRegExp("R3", Windowing2Parser.Identifier + "%|" + Windowing2Parser.StringLiteral + "%|" + Windowing2Parser.CHARSETLITERAL + "%|" + Windowing2Parser.STRINGLITERALSEQUENCE + "%|" + "%|" + Windowing2Parser.IF + "%|" + Windowing2Parser.CASE + "%|" + Windowing2Parser.WHEN + "%|" + Windowing2Parser.IN + "%|" + Windowing2Parser.ARRAY + "%|" + Windowing2Parser.MAP + "%|" + Windowing2Parser.BETWEEN + "%|" + Windowing2Parser.STRUCT + "%"), getStrExprProcessor());
    opRules.put(new RuleRegExp("R4", Windowing2Parser.TRUE + "%|" + Windowing2Parser.FALSE + "%"), getBoolExprProcessor());
    opRules.put(new RuleRegExp("R5", Windowing2Parser.TABLEORCOL + "%"), getColumnExprProcessor());
    // The dispatcher fires the processor corresponding to the closest
    // matching
    // rule and passes the context along
    Dispatcher disp = new DefaultRuleDispatcher(getDefaultExprProcessor(), opRules, tcCtx);
    GraphWalker ogw = new DefaultGraphWalker(disp);
    // Create a list of topop nodes
    ArrayList<Node> topNodes = new ArrayList<Node>();
    topNodes.add(expr);
    HashMap<Node, Object> nodeOutputs = new HashMap<Node, Object>();
    ogw.startWalking(topNodes, nodeOutputs);
    return nodeOutputs;
}

Example 23 with Dispatcher

use of org.apache.hadoop.hive.ql.lib.Dispatcher in project hive by apache.

the class TestAccumuloRangeGenerator method testRangeOverNonRowIdField.

@Test
public void testRangeOverNonRowIdField() throws Exception {
    // foo >= 'f'
    ExprNodeDesc column = new ExprNodeColumnDesc(TypeInfoFactory.stringTypeInfo, "foo", null, false);
    ExprNodeDesc constant = new ExprNodeConstantDesc(TypeInfoFactory.stringTypeInfo, "f");
    List<ExprNodeDesc> children = Lists.newArrayList();
    children.add(column);
    children.add(constant);
    ExprNodeDesc node = new ExprNodeGenericFuncDesc(TypeInfoFactory.stringTypeInfo, new GenericUDFOPEqualOrGreaterThan(), children);
    assertNotNull(node);
    // foo <= 'm'
    ExprNodeDesc column2 = new ExprNodeColumnDesc(TypeInfoFactory.stringTypeInfo, "foo", null, false);
    ExprNodeDesc constant2 = new ExprNodeConstantDesc(TypeInfoFactory.stringTypeInfo, "m");
    List<ExprNodeDesc> children2 = Lists.newArrayList();
    children2.add(column2);
    children2.add(constant2);
    ExprNodeDesc node2 = new ExprNodeGenericFuncDesc(TypeInfoFactory.stringTypeInfo, new GenericUDFOPEqualOrLessThan(), children2);
    assertNotNull(node2);
    // And UDF
    List<ExprNodeDesc> bothFilters = Lists.newArrayList();
    bothFilters.add(node);
    bothFilters.add(node2);
    ExprNodeGenericFuncDesc both = new ExprNodeGenericFuncDesc(TypeInfoFactory.stringTypeInfo, new GenericUDFOPAnd(), bothFilters);
    AccumuloRangeGenerator rangeGenerator = new AccumuloRangeGenerator(conf, handler, rowIdMapping, "rid");
    Dispatcher disp = new DefaultRuleDispatcher(rangeGenerator, Collections.<Rule, NodeProcessor>emptyMap(), null);
    GraphWalker ogw = new DefaultGraphWalker(disp);
    ArrayList<Node> topNodes = new ArrayList<Node>();
    topNodes.add(both);
    HashMap<Node, Object> nodeOutput = new HashMap<Node, Object>();
    try {
        ogw.startWalking(topNodes, nodeOutput);
    } catch (SemanticException ex) {
        throw new RuntimeException(ex);
    }
    // Filters are not over the rowid, therefore scan everything
    Object result = nodeOutput.get(both);
    Assert.assertNull(result);
}

Example 24 with Dispatcher

use of org.apache.hadoop.hive.ql.lib.Dispatcher in project hive by apache.

the class TestAccumuloRangeGenerator method testRangeOverIntegerIndexedField.

@Test
public void testRangeOverIntegerIndexedField() throws Exception {
    // cars >= 2
    ExprNodeDesc column = new ExprNodeColumnDesc(TypeInfoFactory.intTypeInfo, "cars", null, false);
    ExprNodeDesc constant = new ExprNodeConstantDesc(TypeInfoFactory.intTypeInfo, 2);
    List<ExprNodeDesc> children = Lists.newArrayList();
    children.add(column);
    children.add(constant);
    ExprNodeDesc node = new ExprNodeGenericFuncDesc(TypeInfoFactory.intTypeInfo, new GenericUDFOPEqualOrGreaterThan(), children);
    assertNotNull(node);
    // cars <= 9
    ExprNodeDesc column2 = new ExprNodeColumnDesc(TypeInfoFactory.intTypeInfo, "cars", null, false);
    ExprNodeDesc constant2 = new ExprNodeConstantDesc(TypeInfoFactory.intTypeInfo, 9);
    List<ExprNodeDesc> children2 = Lists.newArrayList();
    children2.add(column2);
    children2.add(constant2);
    ExprNodeDesc node2 = new ExprNodeGenericFuncDesc(TypeInfoFactory.intTypeInfo, new GenericUDFOPEqualOrLessThan(), children2);
    assertNotNull(node2);
    // And UDF
    List<ExprNodeDesc> bothFilters = Lists.newArrayList();
    bothFilters.add(node);
    bothFilters.add(node2);
    ExprNodeGenericFuncDesc both = new ExprNodeGenericFuncDesc(TypeInfoFactory.stringTypeInfo, new GenericUDFOPAnd(), bothFilters);
    AccumuloRangeGenerator rangeGenerator = new AccumuloRangeGenerator(conf, handler, rowIdMapping, "rid");
    rangeGenerator.setIndexScanner(TestAccumuloDefaultIndexScanner.buildMockHandler(10));
    Dispatcher disp = new DefaultRuleDispatcher(rangeGenerator, Collections.<Rule, NodeProcessor>emptyMap(), null);
    GraphWalker ogw = new DefaultGraphWalker(disp);
    ArrayList<Node> topNodes = new ArrayList<Node>();
    topNodes.add(both);
    HashMap<Node, Object> nodeOutput = new HashMap<Node, Object>();
    try {
        ogw.startWalking(topNodes, nodeOutput);
    } catch (SemanticException ex) {
        throw new RuntimeException(ex);
    }
    // Filters are using an index which should match 3 rows
    Object result = nodeOutput.get(both);
    if (result instanceof List) {
        List results = (List) result;
        Assert.assertEquals(3, results.size());
        Assert.assertTrue("does not contain row1", results.contains(new Range("row1")));
        Assert.assertTrue("does not contain row2", results.contains(new Range("row2")));
        Assert.assertTrue("does not contain row3", results.contains(new Range("row3")));
    } else {
        Assert.fail("Results not a list");
    }
}

Example 25 with Dispatcher

use of org.apache.hadoop.hive.ql.lib.Dispatcher in project hive by apache.

the class TestAccumuloRangeGenerator method testRangeConjunctionWithDisjunction.

@Test
public void testRangeConjunctionWithDisjunction() throws Exception {
    // rowId >= 'h'
    ExprNodeDesc column = new ExprNodeColumnDesc(TypeInfoFactory.stringTypeInfo, "rid", null, false);
    ExprNodeDesc constant = new ExprNodeConstantDesc(TypeInfoFactory.stringTypeInfo, "h");
    List<ExprNodeDesc> children = Lists.newArrayList();
    children.add(column);
    children.add(constant);
    ExprNodeDesc node = new ExprNodeGenericFuncDesc(TypeInfoFactory.stringTypeInfo, new GenericUDFOPEqualOrGreaterThan(), children);
    assertNotNull(node);
    // rowId <= 'd'
    ExprNodeDesc column2 = new ExprNodeColumnDesc(TypeInfoFactory.stringTypeInfo, "rid", null, false);
    ExprNodeDesc constant2 = new ExprNodeConstantDesc(TypeInfoFactory.stringTypeInfo, "d");
    List<ExprNodeDesc> children2 = Lists.newArrayList();
    children2.add(column2);
    children2.add(constant2);
    ExprNodeDesc node2 = new ExprNodeGenericFuncDesc(TypeInfoFactory.stringTypeInfo, new GenericUDFOPEqualOrLessThan(), children2);
    assertNotNull(node2);
    // rowId >= 'q'
    ExprNodeDesc column3 = new ExprNodeColumnDesc(TypeInfoFactory.stringTypeInfo, "rid", null, false);
    ExprNodeDesc constant3 = new ExprNodeConstantDesc(TypeInfoFactory.stringTypeInfo, "q");
    List<ExprNodeDesc> children3 = Lists.newArrayList();
    children3.add(column3);
    children3.add(constant3);
    ExprNodeDesc node3 = new ExprNodeGenericFuncDesc(TypeInfoFactory.stringTypeInfo, new GenericUDFOPEqualOrGreaterThan(), children3);
    assertNotNull(node3);
    // Or UDF, (rowId <= 'd' or rowId >= 'q')
    List<ExprNodeDesc> orFilters = Lists.newArrayList();
    orFilters.add(node2);
    orFilters.add(node3);
    ExprNodeGenericFuncDesc orNode = new ExprNodeGenericFuncDesc(TypeInfoFactory.stringTypeInfo, new GenericUDFOPOr(), orFilters);
    // And UDF, (rowId >= 'h' and (rowId <= 'd' or rowId >= 'q'))
    List<ExprNodeDesc> andFilters = Lists.newArrayList();
    andFilters.add(node);
    andFilters.add(orNode);
    ExprNodeGenericFuncDesc both = new ExprNodeGenericFuncDesc(TypeInfoFactory.stringTypeInfo, new GenericUDFOPAnd(), andFilters);
    // Should generate ['q', +inf)
    List<Range> expectedRanges = Arrays.asList(new Range(new Key("q"), true, null, false));
    AccumuloRangeGenerator rangeGenerator = new AccumuloRangeGenerator(conf, handler, rowIdMapping, "rid");
    Dispatcher disp = new DefaultRuleDispatcher(rangeGenerator, Collections.<Rule, NodeProcessor>emptyMap(), null);
    GraphWalker ogw = new DefaultGraphWalker(disp);
    ArrayList<Node> topNodes = new ArrayList<Node>();
    topNodes.add(both);
    HashMap<Node, Object> nodeOutput = new HashMap<Node, Object>();
    try {
        ogw.startWalking(topNodes, nodeOutput);
    } catch (SemanticException ex) {
        throw new RuntimeException(ex);
    }
    Object result = nodeOutput.get(both);
    Assert.assertNotNull(result);
    Assert.assertTrue("Result from graph walk was not a List", result instanceof List);
    @SuppressWarnings("unchecked") List<Range> actualRanges = (List<Range>) result;
    Assert.assertEquals(expectedRanges, actualRanges);
}