Package org.apache.hadoop.hive.ql.plan

Examples of org.apache.hadoop.hive.ql.plan.PTFDesc.forWindowing()

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      PTFOperator op = (PTFOperator) nd;
      PTFDesc conf = op.getConf();
      //Since we cannot know what columns will be needed by a PTF chain,
      //we do not prune columns on PTFOperator for PTF chains.
      if (!conf.forWindowing()) {
        return getDefaultProc().process(nd, stack, ctx, nodeOutputs);
      }

      ColumnPrunerProcCtx cppCtx = (ColumnPrunerProcCtx) ctx;
      WindowTableFunctionDef def = (WindowTableFunctionDef) conf.getFuncDef();
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      ColumnPrunerProcCtx cppCtx = (ColumnPrunerProcCtx) ctx;
      PTFOperator op = (PTFOperator) nd;
      PTFDesc conf = op.getConf();
      //Since we cannot know what columns will be needed by a PTF chain,
      //we do not prune columns on PTFOperator for PTF chains.
      if (!conf.forWindowing()) {
       
        Operator<? extends OperatorDesc> parent = op.getParentOperators().get(0);
        RowResolver parentRR = cppCtx.getParseContext().getOpParseCtx().get(parent).getRowResolver();
        List<ColumnInfo> sig = parentRR.getRowSchema().getSignature();
        List<String> colList = new ArrayList<String>();
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    }

    private void pushRankLimit(PTFOperator ptfOp, OpWalkerInfo owi) throws SemanticException {
      PTFDesc conf = ptfOp.getConf();

      if ( !conf.forWindowing() ) {
        return;
      }

      float threshold = owi.getParseContext().getConf().getFloatVar(HiveConf.ConfVars.HIVELIMITPUSHDOWNMEMORYUSAGE);
      if (threshold <= 0 || threshold >= 1) {
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      ColumnPrunerProcCtx cppCtx = (ColumnPrunerProcCtx) ctx;
      PTFOperator op = (PTFOperator) nd;
      PTFDesc conf = op.getConf();
      //Since we cannot know what columns will be needed by a PTF chain,
      //we do not prune columns on PTFOperator for PTF chains.
      if (!conf.forWindowing()) {
        return super.process(nd, stack, cppCtx, nodeOutputs);
      }

      WindowTableFunctionDef def = (WindowTableFunctionDef) conf.getFuncDef();
      ArrayList<ColumnInfo> sig = new ArrayList<ColumnInfo>();
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      ColumnPrunerProcCtx cppCtx = (ColumnPrunerProcCtx) ctx;
      PTFOperator op = (PTFOperator) nd;
      PTFDesc conf = op.getConf();
      //Since we cannot know what columns will be needed by a PTF chain,
      //we do not prune columns on PTFOperator for PTF chains.
      if (!conf.forWindowing()) {
       
        Operator<? extends OperatorDesc> parent = op.getParentOperators().get(0);
        RowResolver parentRR = cppCtx.getParseContext().getOpParseCtx().get(parent).getRowResolver();
        List<ColumnInfo> sig = parentRR.getRowSchema().getSignature();
        List<String> colList = new ArrayList<String>();
View Full Code Here
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      PTFOperator op = (PTFOperator) nd;
      PTFDesc conf = op.getConf();
      //Since we cannot know what columns will be needed by a PTF chain,
      //we do not prune columns on PTFOperator for PTF chains.
      if (!conf.forWindowing()) {
        return getDefaultProc().process(nd, stack, ctx, nodeOutputs);
      }

      ColumnPrunerProcCtx cppCtx = (ColumnPrunerProcCtx) ctx;
      WindowTableFunctionDef def = (WindowTableFunctionDef) conf.getFuncDef();
View Full Code Here
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      PTFOperator op = (PTFOperator) nd;
      PTFDesc conf = op.getConf();
      //Since we cannot know what columns will be needed by a PTF chain,
      //we do not prune columns on PTFOperator for PTF chains.
      if (!conf.forWindowing()) {
        return getDefaultProc().process(nd, stack, ctx, nodeOutputs);
      }

      ColumnPrunerProcCtx cppCtx = (ColumnPrunerProcCtx) ctx;
      WindowTableFunctionDef def = (WindowTableFunctionDef) conf.getFuncDef();
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