Examples of org.apache.hadoop.hive.ql.lib.GraphWalker.startWalking()

Class org.apache.hadoop.hive.ql.lib.GraphWalker

Examples of org.apache.hadoop.hive.ql.lib.GraphWalker.startWalking()

org.apache.hadoop.hive.ql.lib.GraphWalker.startWalking()
starting point for walking. @param startNodes list of starting operators @param nodeOutput If this parameter is not null, the call to the function returns the map from node to objects returned by the processors. @throws SemanticException

          return null;
        }
      };
      GraphWalker nodeOriginTagger = new DefaultGraphWalker(
          nodeOriginDispatcher);
      nodeOriginTagger.startWalking(java.util.Collections
          .<Node> singleton(viewTree), null);
    } catch (ParseException e) {
      // A user could encounter this if a stored view definition contains
      // an old SQL construct which has been eliminated in a later Hive
      // version, so we need to provide full debugging info to help

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        procCtx);


    GraphWalker ogw = new GenMapRedWalker(disp);
    ArrayList<Node> topNodes = new ArrayList<Node>();
    topNodes.addAll(topOps.values());
    ogw.startWalking(topNodes, null);


    // reduce sink does not have any kids - since the plan by now has been
    // broken up into multiple
    // tasks, iterate over all tasks.
    // For each task, go over all operators recursively

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    // walk the mapper operator(not task) tree
    GraphWalker ogw = new DefaultGraphWalker(dispatcher);
    ArrayList<Node> topNodes = new ArrayList<Node>();
    topNodes.addAll(pctx.getTopOps().values());
    ogw.startWalking(topNodes, null);


    return null;
  }


  /**

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    // 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;
  }


  /**

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    for (ExprNodeDesc node : preds) {
      clonedPreds.add(node.clone());
    }
    startNodes.addAll(clonedPreds);


    egw.startWalking(startNodes, null);


    HiveConf conf = opContext.getParseContext().getConf();
    // check the root expression for final candidates
    for (ExprNodeDesc pred : clonedPreds) {
      extractFinalCandidates(pred, exprContext, conf);

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    Dispatcher disp = new DefaultRuleDispatcher(null, opRules, null);
    GraphWalker ogw = new PreOrderWalker(disp);


    ArrayList<Node> topNodes = new ArrayList<Node>();
    topNodes.addAll(pCtx.getTopOps().values());
    ogw.startWalking(topNodes, null);


    return pCtx;
  }


  private NodeProcessor getSortDynPartProc(ParseContext pCtx) {

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    GraphWalker ogw = new PreOrderWalker(disp);


    // Create a list of topop nodes
    ArrayList<Node> topNodes = new ArrayList<Node>();
    topNodes.addAll(pCtx.getTopOps().values());
    ogw.startWalking(topNodes, null);
    pCtx.setUCtx(uCtx);


    return pCtx;
  }
}

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    GraphWalker ogw = new DefaultGraphWalker(disp);


    // Create a list of topop nodes
    ArrayList<Node> topNodes = new ArrayList<Node>();
    topNodes.addAll(pctx.getTopOps().values());
    ogw.startWalking(topNodes, null);
    return pctx;
  }


  // Filter processor
  public static class FilterPPR implements NodeProcessor {

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    Dispatcher disp = new DefaultRuleDispatcher(getDefault(), opRules, new MapJoinWalkerCtx(listMapJoinOpsNoRed));


    GraphWalker ogw = new GenMapRedWalker(disp);
    ArrayList<Node> topNodes = new ArrayList<Node>();
    topNodes.addAll(listMapJoinOps);
    ogw.startWalking(topNodes, null);
    
    pGraphContext.setListMapJoinOpsNoReducer(listMapJoinOpsNoRed);
    return pGraphContext;
  }

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    for (exprNodeDesc node : preds) {
      clonedPreds.add((exprNodeDesc) node.clone());
    }
    startNodes.addAll(clonedPreds);
    
    egw.startWalking(startNodes, null);
    
    // check the root expression for final candidates
    for (exprNodeDesc pred : clonedPreds) {
      extractFinalCandidates(pred, exprContext);
    }

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