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

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


    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);

    // Walk the tree again to see if the union can be removed completely
    HiveConf conf = pCtx.getConf();
    opRules.clear();
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      ogw = new PreOrderWalker(disp);

      // Create a list of topop nodes
      topNodes.clear();
      topNodes.addAll(pCtx.getTopOps().values());
      ogw.startWalking(topNodes, null);
    }

    return pCtx;
  }
}
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          opRules, localMapJoinProcCtx);
      GraphWalker ogw = new DefaultGraphWalker(disp);
      // iterator the reducer operator tree
      ArrayList<Node> topNodes = new ArrayList<Node>();
      topNodes.addAll(childOps);
      ogw.startWalking(topNodes, null);
    }
  }

  private LocalMapJoinProcFactory() {
    // prevent instantiation
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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;
  }

  private NodeProcessor getSortedMergeBucketMapjoinProc(ParseContext pctx) {
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    Dispatcher disp = new DefaultRuleDispatcher(new GenMROperator(), opRules, procCtx);

    GraphWalker ogw = new GenMapRedWalker(disp);
    ArrayList<Node> topNodes = new ArrayList<Node>();
    topNodes.addAll(this.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
    for(Task<? extends Serializable> rootTask: rootTasks)
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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);
    exprNodeDesc desc = (exprNodeDesc)nodeOutputs.get(expr);
    if (desc == null) {
      throw new SemanticException(tcCtx.getError());
    }
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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);
    hasNonPartCols = pprCtx.getHasNonPartCols();

    // Get the exprNodeDesc corresponding to the first start node;
    return (exprNodeDesc)outputMap.get(pred);
  }
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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);
    pctx.setHasNonPartCols(opWalkerCtx.getHasNonPartCols());

    return pctx;
  }
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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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    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;
  }

}
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