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

Example 11 with SemanticNodeProcessor

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

the class PredicatePushDown 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<SemanticRule, SemanticNodeProcessor> opRules = new LinkedHashMap<SemanticRule, SemanticNodeProcessor>();
    opRules.put(new RuleRegExp("R1", FilterOperator.getOperatorName() + "%"), OpProcFactory.getFilterProc());
    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());
    opRules.put(new RuleRegExp("R11", GroupByOperator.getOperatorName() + "%"), OpProcFactory.getGBYProc());
    // The dispatcher fires the processor corresponding to the closest matching
    // rule and passes the context along
    SemanticDispatcher disp = new DefaultRuleDispatcher(OpProcFactory.getDefaultProc(), opRules, opWalkerInfo);
    SemanticGraphWalker 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 12 with SemanticNodeProcessor

use of org.apache.hadoop.hive.ql.lib.SemanticNodeProcessor 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<SemanticRule, SemanticNodeProcessor> opRules = new LinkedHashMap<SemanticRule, SemanticNodeProcessor>();
    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
    SemanticDispatcher disp = new DefaultRuleDispatcher(OpProcFactory.getDefaultProc(), opRules, opWalkerInfo);
    SemanticGraphWalker 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 13 with SemanticNodeProcessor

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

the class PredicateTransitivePropagate method transform.

@Override
public ParseContext transform(ParseContext pctx) throws SemanticException {
    pGraphContext = pctx;
    Map<SemanticRule, SemanticNodeProcessor> opRules = new LinkedHashMap<SemanticRule, SemanticNodeProcessor>();
    opRules.put(new RuleRegExp("R1", "(" + FilterOperator.getOperatorName() + "%" + ReduceSinkOperator.getOperatorName() + "%" + JoinOperator.getOperatorName() + "%)"), new JoinTransitive());
    // The dispatcher fires the processor corresponding to the closest matching
    // rule and passes the context along
    TransitiveContext context = new TransitiveContext();
    SemanticDispatcher disp = new DefaultRuleDispatcher(null, opRules, context);
    SemanticGraphWalker ogw = new LevelOrderWalker(disp, 2);
    // Create a list of topop nodes
    List<Node> topNodes = new ArrayList<Node>();
    topNodes.addAll(pGraphContext.getTopOps().values());
    ogw.startWalking(topNodes, null);
    Map<ReduceSinkOperator, List<ExprNodeDesc>> newFilters = context.getNewfilters();
    // insert new filter between RS and parent of RS
    for (Map.Entry<ReduceSinkOperator, List<ExprNodeDesc>> entry : newFilters.entrySet()) {
        ReduceSinkOperator reducer = entry.getKey();
        Operator<?> parent = reducer.getParentOperators().get(0);
        List<ExprNodeDesc> exprs = entry.getValue();
        if (parent instanceof FilterOperator) {
            exprs = ExprNodeDescUtils.split(((FilterOperator) parent).getConf().getPredicate(), exprs);
            ExprNodeDesc merged = ExprNodeDescUtils.mergePredicates(exprs);
            ((FilterOperator) parent).getConf().setPredicate(merged);
        } else {
            ExprNodeDesc merged = ExprNodeDescUtils.mergePredicates(exprs);
            RowSchema parentRS = parent.getSchema();
            Operator<FilterDesc> newFilter = createFilter(reducer, parent, parentRS, merged);
        }
    }
    return pGraphContext;
}

Example 14 with SemanticNodeProcessor

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

the class SyntheticJoinPredicate method transform.

@Override
public ParseContext transform(ParseContext pctx) throws SemanticException {
    boolean enabled = false;
    String queryEngine = pctx.getConf().getVar(ConfVars.HIVE_EXECUTION_ENGINE);
    if (queryEngine.equals("tez") && pctx.getConf().getBoolVar(ConfVars.TEZ_DYNAMIC_PARTITION_PRUNING)) {
        enabled = true;
    } else if ((queryEngine.equals("spark") && pctx.getConf().isSparkDPPAny())) {
        enabled = true;
    }
    if (!enabled) {
        return pctx;
    }
    Map<SemanticRule, SemanticNodeProcessor> opRules = new LinkedHashMap<SemanticRule, SemanticNodeProcessor>();
    opRules.put(new RuleRegExp("R1", "(" + TableScanOperator.getOperatorName() + "%" + ".*" + ReduceSinkOperator.getOperatorName() + "%" + JoinOperator.getOperatorName() + "%)"), new JoinSynthetic());
    // The dispatcher fires the processor corresponding to the closest matching
    // rule and passes the context along
    SyntheticContext context = new SyntheticContext(pctx);
    SemanticDispatcher disp = new DefaultRuleDispatcher(null, opRules, context);
    SemanticGraphWalker ogw = new PreOrderOnceWalker(disp);
    // Create a list of top op nodes
    List<Node> topNodes = new ArrayList<Node>();
    topNodes.addAll(pctx.getTopOps().values());
    ogw.startWalking(topNodes, null);
    return pctx;
}

Example 15 with SemanticNodeProcessor

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

the class LineageInfo method getLineageInfo.

/**
 * parses given query and gets the lineage info.
 *
 * @param query
 */
public void getLineageInfo(String query, Context ctx) throws Exception {
    /*
     * Get the AST tree
     */
    ASTNode tree = ParseUtils.parse(query, ctx);
    while ((tree.getToken() == null) && (tree.getChildCount() > 0)) {
        tree = (ASTNode) tree.getChild(0);
    }
    /*
     * initialize Event Processor and dispatcher.
     */
    inputTableList.clear();
    OutputTableList.clear();
    // 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<SemanticRule, SemanticNodeProcessor> rules = new LinkedHashMap<SemanticRule, SemanticNodeProcessor>();
    // The dispatcher fires the processor corresponding to the closest matching
    // rule and passes the context along
    SemanticDispatcher disp = new DefaultRuleDispatcher(this, rules, null);
    SemanticGraphWalker ogw = new DefaultGraphWalker(disp);
    // Create a list of topop nodes
    ArrayList<Node> topNodes = new ArrayList<Node>();
    topNodes.add(tree);
    ogw.startWalking(topNodes, null);
}