Package org.apache.hadoop.hive.ql.lib

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

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    List<Node> startNodes = new ArrayList<Node>();
    startNodes.add(pred);

    HashMap<Node, Object> outputMap = new HashMap<Node, Object>();
    egw.startWalking(startNodes, outputMap);
    return outputMap;
  }

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

    List<Node> topNodes = new ArrayList<Node>();
    topNodes.addAll(pctx.getTopOps().values());
    ogw.startWalking(topNodes, null);
    return pctx;
  }

  private class SelectDedup implements NodeProcessor {
    @Override
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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;
  }

  /**
   * FilterPPR filter processor.
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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);

    for (PcrOpWalkerCtx.OpToDeleteInfo entry : opToRemove) {
      entry.getParent().removeChildAndAdoptItsChildren(entry.getOperator());
    }
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    List<Node> startNodes = new ArrayList<Node>();
    startNodes.add(pred);

    HashMap<Node, Object> outputMap = new HashMap<Node, Object>();
    egw.startWalking(startNodes, outputMap);

    // Return the wrapper of the root node
    return (NodeInfoWrapper) outputMap.get(pred);
  }
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    GraphWalker ogw = new DefaultGraphWalker(disp);

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

    return pctx;
  }

  private NodeProcessor getDefaultProc() {
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    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;
  }

  private NodeProcessor getBucketMapjoinProc(ParseContext pctx) {
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    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);
    return pGraphContext;
  }

  protected class ReduceSinkDeduplicateProcCtx extends AbstractCorrelationProcCtx {
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    GraphWalker ogw = new DefaultGraphWalker(disp);

    // Create a list of topop nodes
    List<Node> topNodes = new ArrayList<Node>();
    topNodes.add(topOp);
    ogw.startWalking(topNodes, null);
  }

/**
  * Default procedure for {@link DefaultRuleDispatcher}.
  * @return
 
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    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);
    // We have finished tree walking (correlation detection).
    // We will first see if we need to abort (the operator tree has not been changed).
    // If not, we will start to transform the operator tree.
    abort = corrCtx.isAbort();
    if (abort) {
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