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

Example 36 with Dispatcher

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

the class SparkCompiler method runDynamicPartitionPruning.

private void runDynamicPartitionPruning(OptimizeSparkProcContext procCtx) throws SemanticException {
    if (!conf.isSparkDPPAny()) {
        return;
    }
    ParseContext parseContext = procCtx.getParseContext();
    Map<Rule, NodeProcessor> opRules = new LinkedHashMap<Rule, NodeProcessor>();
    opRules.put(new RuleRegExp(new String("Dynamic Partition Pruning"), FilterOperator.getOperatorName() + "%"), new DynamicPartitionPruningOptimization());
    // The dispatcher fires the processor corresponding to the closest matching
    // rule and passes the context along
    Dispatcher disp = new DefaultRuleDispatcher(null, opRules, procCtx);
    GraphWalker ogw = new ForwardWalker(disp);
    List<Node> topNodes = new ArrayList<Node>();
    topNodes.addAll(parseContext.getTopOps().values());
    ogw.startWalking(topNodes, null);
}

Example 37 with Dispatcher

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

the class ExprProcFactory method getExprDependency.

/**
 * Gets the expression dependencies for the expression.
 *
 * @param lctx
 *          The lineage context containing the input operators dependencies.
 * @param inpOp
 *          The input operator to the current operator.
 * @param expr
 *          The expression that is being processed.
 * @param outputMap
 * @throws SemanticException
 */
public static Dependency getExprDependency(LineageCtx lctx, Operator<? extends OperatorDesc> inpOp, ExprNodeDesc expr, HashMap<Node, Object> outputMap) throws SemanticException {
    outputMap.clear();
    // Create the walker, the rules dispatcher and the context.
    ExprProcCtx exprCtx = new ExprProcCtx(lctx, inpOp);
    // 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
    // The dispatcher fires the processor corresponding to the closest matching
    // rule and passes the context along
    Dispatcher disp = new DefaultRuleDispatcher(getDefaultExprProcessor(), exprRules, exprCtx);
    GraphWalker egw = new DefaultGraphWalker(disp);
    List<Node> startNodes = Collections.singletonList((Node) expr);
    egw.startWalking(startNodes, outputMap);
    return (Dependency) outputMap.get(expr);
}

Example 38 with Dispatcher

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

the class LlapPreVectorizationPass method resolve.

@Override
public PhysicalContext resolve(PhysicalContext pctx) throws SemanticException {
    HiveConf conf = pctx.getConf();
    LlapMode mode = LlapMode.valueOf(HiveConf.getVar(conf, HiveConf.ConfVars.LLAP_EXECUTION_MODE));
    if (mode == none) {
        LOG.info("LLAP disabled.");
        return pctx;
    }
    Dispatcher disp = new LlapPreVectorizationPassDispatcher(pctx);
    GraphWalker ogw = new DefaultGraphWalker(disp);
    ArrayList<Node> topNodes = new ArrayList<Node>();
    topNodes.addAll(pctx.getRootTasks());
    ogw.startWalking(topNodes, null);
    return pctx;
}

Example 39 with Dispatcher

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

the class ConstantPropagate method transform.

/**
 * Transform the query tree.
 *
 * @param pactx
 *        the current parse context
 */
@Override
public ParseContext transform(ParseContext pactx) throws SemanticException {
    pGraphContext = pactx;
    // generate pruned column list for all relevant operators
    ConstantPropagateProcCtx cppCtx = new ConstantPropagateProcCtx(constantPropagateOption);
    // 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", FilterOperator.getOperatorName() + "%"), ConstantPropagateProcFactory.getFilterProc());
    opRules.put(new RuleRegExp("R2", GroupByOperator.getOperatorName() + "%"), ConstantPropagateProcFactory.getGroupByProc());
    opRules.put(new RuleRegExp("R3", SelectOperator.getOperatorName() + "%"), ConstantPropagateProcFactory.getSelectProc());
    opRules.put(new RuleRegExp("R4", FileSinkOperator.getOperatorName() + "%"), ConstantPropagateProcFactory.getFileSinkProc());
    opRules.put(new RuleRegExp("R5", ReduceSinkOperator.getOperatorName() + "%"), ConstantPropagateProcFactory.getReduceSinkProc());
    opRules.put(new RuleRegExp("R6", JoinOperator.getOperatorName() + "%"), ConstantPropagateProcFactory.getJoinProc());
    opRules.put(new RuleRegExp("R7", TableScanOperator.getOperatorName() + "%"), ConstantPropagateProcFactory.getTableScanProc());
    opRules.put(new RuleRegExp("R8", ScriptOperator.getOperatorName() + "%"), ConstantPropagateProcFactory.getStopProc());
    // The dispatcher fires the processor corresponding to the closest matching
    // rule and passes the context along
    Dispatcher disp = new DefaultRuleDispatcher(ConstantPropagateProcFactory.getDefaultProc(), opRules, cppCtx);
    GraphWalker ogw = new ConstantPropagateWalker(disp);
    // Create a list of operator nodes to start the walking.
    ArrayList<Node> topNodes = new ArrayList<Node>();
    topNodes.addAll(pGraphContext.getTopOps().values());
    ogw.startWalking(topNodes, null);
    for (Operator<? extends Serializable> opToDelete : cppCtx.getOpToDelete()) {
        if (opToDelete.getParentOperators() == null || opToDelete.getParentOperators().size() != 1) {
            throw new RuntimeException("Error pruning operator " + opToDelete + ". It should have only 1 parent.");
        }
        opToDelete.getParentOperators().get(0).removeChildAndAdoptItsChildren(opToDelete);
    }
    cppCtx.getOpToDelete().clear();
    return pGraphContext;
}

Example 40 with Dispatcher

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

the class CountDistinctRewriteProc method transform.

@Override
public ParseContext transform(ParseContext pctx) throws SemanticException {
    Map<Rule, NodeProcessor> opRules = new LinkedHashMap<Rule, NodeProcessor>();
    // process group-by pattern
    opRules.put(new RuleRegExp("R1", GroupByOperator.getOperatorName() + "%" + ReduceSinkOperator.getOperatorName() + "%" + GroupByOperator.getOperatorName() + "%"), getCountDistinctProc(pctx));
    // The dispatcher fires the processor corresponding to the closest matching
    // rule and passes the context along
    Dispatcher disp = new DefaultRuleDispatcher(getDefaultProc(), opRules, null);
    GraphWalker ogw = new DefaultGraphWalker(disp);
    // Create a list of topop nodes
    List<Node> topNodes = new ArrayList<Node>();
    topNodes.addAll(pctx.getTopOps().values());
    ogw.startWalking(topNodes, null);
    return pctx;
}