Package org.apache.hadoop.hive.ql.exec

Examples of org.apache.hadoop.hive.ql.exec.FilterOperator

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    @Override
    public Object process(Node nd, Stack<Node> stack, NodeProcessorCtx procCtx,
        Object... nodeOutputs) throws SemanticException {
      OpWalkerCtx owc = (OpWalkerCtx)procCtx;     
      FilterOperator fop = (FilterOperator) nd;
      FilterOperator fop2 = null;
     
      // The stack contains either ... TS, Filter or
      // ... TS, Filter, Filter with the head of the stack being the rightmost
      // symbol. So we just pop out the two elements from the top and if the
      // second one of them is not a table scan then the operator on the top of
      // the stack is the Table scan operator.
      Node tmp = stack.pop();
      Node tmp2 = stack.pop();
      TableScanOperator top = null;
      if (tmp2 instanceof TableScanOperator) {
        top = (TableScanOperator)tmp2;
      }
      else {
        top = (TableScanOperator) stack.peek();
        fop2 = (FilterOperator) tmp2;
      }
      stack.push(tmp2);
      stack.push(tmp);

      // If fop2 exists (i.e this is not the top level filter and fop2 is not
      // a sampling filter then we ignore the current filter
      if (fop2 != null && !fop2.getConf().getIsSamplingPred())
        return null;
     
      // ignore the predicate in case it is not a sampling predicate
      if (fop.getConf().getIsSamplingPred()) {
        return null;
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   * Check for conditions in FilterOperator that do not meet rewrite criteria.
   */
  private static class CheckFilterProc implements NodeProcessor {
    public Object process(Node nd, Stack<Node> stack, NodeProcessorCtx ctx,
        Object... nodeOutputs) throws SemanticException {
      FilterOperator operator = (FilterOperator)nd;
      canApplyCtx = (RewriteCanApplyCtx)ctx;
      FilterDesc conf = (FilterDesc)operator.getConf();
      //The filter operator should have a predicate of ExprNodeGenericFuncDesc type.
      //This represents the comparison operator
      ExprNodeGenericFuncDesc oldengfd = (ExprNodeGenericFuncDesc) conf.getPredicate();
      if(oldengfd == null){
        canApplyCtx.setWhrClauseColsFetchException(true);
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  public static class FilterPPR implements NodeProcessor {

    @Override
    public Object process(Node nd, Stack<Node> stack, NodeProcessorCtx procCtx,
        Object... nodeOutputs) throws SemanticException {
      FilterOperator filOp = (FilterOperator) nd;
      FilterDesc filOpDesc = filOp.getConf();
      sampleDesc sampleDescr = filOpDesc.getSampleDescr();

      if ((sampleDescr == null) || !sampleDescr.getInputPruning()) {
        return null;
      }
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   * Node Processor for Column Pruning on Filter Operators.
   */
  public static class ColumnPrunerFilterProc implements NodeProcessor {
    public Object process(Node nd, Stack<Node> stack, NodeProcessorCtx ctx,
        Object... nodeOutputs) throws SemanticException {
      FilterOperator op = (FilterOperator) nd;
      ColumnPrunerProcCtx cppCtx = (ColumnPrunerProcCtx) ctx;
      ExprNodeDesc condn = op.getConf().getPredicate();
      // get list of columns used in the filter
      List<String> cl = condn.getCols();
      // merge it with the downstream col list
      cppCtx.getPrunedColLists().put(op,
          Utilities.mergeUniqElems(cppCtx.genColLists(op), cl));
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    @Override
    public Object process(Node nd, Stack<Node> stack, NodeProcessorCtx procCtx,
        Object... nodeOutputs) throws SemanticException {
      OpWalkerCtx owc = (OpWalkerCtx) procCtx;
      FilterOperator fop = (FilterOperator) nd;
      FilterOperator fop2 = null;

      // The stack contains either ... TS, Filter or
      // ... TS, Filter, Filter with the head of the stack being the rightmost
      // symbol. So we just pop out the two elements from the top and if the
      // second one of them is not a table scan then the operator on the top of
      // the stack is the Table scan operator.
      Node tmp = stack.pop();
      Node tmp2 = stack.pop();
      TableScanOperator top = null;
      if (tmp2 instanceof TableScanOperator) {
        top = (TableScanOperator) tmp2;
      } else {
        top = (TableScanOperator) stack.peek();
        fop2 = (FilterOperator) tmp2;
      }
      stack.push(tmp2);
      stack.push(tmp);

      // If fop2 exists (i.e this is not the top level filter and fop2 is not
      // a sampling filter then we ignore the current filter
      if (fop2 != null && !fop2.getConf().getIsSamplingPred()) {
        return null;
      }

      // ignore the predicate in case it is not a sampling predicate
      if (fop.getConf().getIsSamplingPred()) {
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    @Override
    public Object process(Node nd, Stack<Node> stack, NodeProcessorCtx procCtx,
        Object... nodeOutputs) throws SemanticException {
      PcrOpWalkerCtx owc = (PcrOpWalkerCtx) procCtx;
      FilterOperator fop = (FilterOperator) nd;
      FilterOperator fop2 = null;

      // The stack contains either ... TS, Filter or
      // ... TS, Filter, Filter with the head of the stack being the rightmost
      // symbol. So we just pop out the two elements from the top and if the
      // second one of them is not a table scan then the operator on the top of
      // the stack is the Table scan operator.
      Node tmp = stack.pop();
      Node tmp2 = stack.pop();
      TableScanOperator top = null;
      Operator<? extends Serializable> pop = null;
      if (tmp2 instanceof TableScanOperator) {
        top = (TableScanOperator) tmp2;
        pop = top;
      } else {
        top = (TableScanOperator) stack.peek();
        fop2 = (FilterOperator) tmp2;
        pop = fop2;
      }
      stack.push(tmp2);
      stack.push(tmp);

      // If fop2 exists (i.e this is not the top level filter and fop2 is not
      // a sampling filter then we ignore the current filter
      if (fop2 != null && !fop2.getConf().getIsSamplingPred()) {
        return null;
      }

      // ignore the predicate in case it is not a sampling predicate
      if (fop.getConf().getIsSamplingPred()) {
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    public Object process(Node nd, Stack<Node> stack, NodeProcessorCtx procCtx,
        Object... nodeOutputs) throws SemanticException {
      @SuppressWarnings("unchecked")
      CommonJoinOperator<JoinDesc> join = (CommonJoinOperator) nd;
      ReduceSinkOperator source = (ReduceSinkOperator) stack.get(stack.size() - 2);
      FilterOperator filter = (FilterOperator) stack.get(stack.size() - 3);
      int srcPos = join.getParentOperators().indexOf(source);

      TransitiveContext context = (TransitiveContext) procCtx;
      Map<CommonJoinOperator, int[][]> filterPropagates = context.getFilterPropagates();
      Map<ReduceSinkOperator, List<ExprNodeDesc>> newFilters = context.getNewfilters();

      int[][] targets = filterPropagates.get(join);
      if (targets == null) {
        filterPropagates.put(join, targets = getTargets(join));
      }

      List<Operator<? extends OperatorDesc>> parents = join.getParentOperators();
      for (int targetPos : targets[srcPos]) {
        ReduceSinkOperator target = (ReduceSinkOperator) parents.get(targetPos);
        List<ExprNodeDesc> sourceKeys = source.getConf().getKeyCols();
        List<ExprNodeDesc> targetKeys = target.getConf().getKeyCols();

        ExprNodeDesc predicate = filter.getConf().getPredicate();
        ExprNodeDesc replaced = ExprNodeDescUtils.replace(predicate, sourceKeys, targetKeys);
        if (replaced != null && !filterExists(target, replaced)) {
          List<ExprNodeDesc> prev = newFilters.get(target);
          if (prev == null) {
            newFilters.put(target, ExprNodeDescUtils.split(replaced));
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    @Override
    public Object process(Node nd, Stack<Node> stack, NodeProcessorCtx procCtx,
        Object... nodeOutputs) throws SemanticException {
      AnnotateStatsProcCtx aspCtx = (AnnotateStatsProcCtx) procCtx;
      FilterOperator fop = (FilterOperator) nd;
      Operator<? extends OperatorDesc> parent = fop.getParentOperators().get(0);
      Statistics parentStats = parent.getStatistics();
      List<String> neededCols = null;
      if (parent instanceof TableScanOperator) {
        TableScanOperator tsop = (TableScanOperator) parent;
        neededCols = tsop.getNeededColumns();
      }

      try {
        if (parentStats != null) {
          ExprNodeDesc pred = fop.getConf().getPredicate();

          // evaluate filter expression and update statistics
          long newNumRows = evaluateExpression(parentStats, pred, aspCtx, neededCols);
          Statistics st = parentStats.clone();

          if (satisfyPrecondition(parentStats)) {

            // update statistics based on column statistics.
            // OR conditions keeps adding the stats independently, this may
            // result in number of rows getting more than the input rows in
            // which case stats need not be updated
            if (newNumRows <= parentStats.getNumRows()) {
              updateStats(st, newNumRows, true);
            }

            if (LOG.isDebugEnabled()) {
              LOG.debug("[0] STATS-" + fop.toString() + ": " + st.extendedToString());
            }
          } else {

            // update only the basic statistics in the absence of column statistics
            if (newNumRows <= parentStats.getNumRows()) {
              updateStats(st, newNumRows, false);
            }

            if (LOG.isDebugEnabled()) {
              LOG.debug("[1] STATS-" + fop.toString() + ": " + st.extendedToString());
            }
          }
          fop.setStatistics(st);
          aspCtx.setAndExprStats(null);
        }
      } catch (CloneNotSupportedException e) {
        throw new SemanticException(ErrorMsg.STATISTICS_CLONING_FAILED.getMsg());
      }
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  public static class FilterPPR implements NodeProcessor {

    @Override
    public Object process(Node nd, Stack<Node> stack, NodeProcessorCtx procCtx,
        Object... nodeOutputs) throws SemanticException {
      FilterOperator filOp = (FilterOperator) nd;
      FilterDesc filOpDesc = filOp.getConf();
      sampleDesc sampleDescr = filOpDesc.getSampleDescr();

      if ((sampleDescr == null) || !sampleDescr.getInputPruning()) {
        return null;
      }
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    @Override
    public Object process(Node nd, Stack<Node> stack, NodeProcessorCtx procCtx,
        Object... nodeOutputs) throws SemanticException {
      PcrOpWalkerCtx owc = (PcrOpWalkerCtx) procCtx;
      FilterOperator fop = (FilterOperator) nd;
      FilterOperator fop2 = null;

      // The stack contains either ... TS, Filter or
      // ... TS, Filter, Filter with the head of the stack being the rightmost
      // symbol. So we just pop out the two elements from the top and if the
      // second one of them is not a table scan then the operator on the top of
      // the stack is the Table scan operator.
      Node tmp = stack.pop();
      Node tmp2 = stack.pop();
      TableScanOperator top = null;
      Operator<? extends OperatorDesc> pop = null;
      if (tmp2 instanceof TableScanOperator) {
        top = (TableScanOperator) tmp2;
        pop = top;
      } else {
        top = (TableScanOperator) stack.peek();
        fop2 = (FilterOperator) tmp2;
        pop = fop2;
      }
      stack.push(tmp2);
      stack.push(tmp);

      // If fop2 exists (i.e this is not the top level filter and fop2 is not
      // a sampling filter then we ignore the current filter
      if (fop2 != null && !fop2.getConf().getIsSamplingPred()) {
        return null;
      }

      // ignore the predicate in case it is not a sampling predicate
      if (fop.getConf().getIsSamplingPred()) {
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Related Classes of org.apache.hadoop.hive.ql.exec.FilterOperator

  • org.apache.hadoop.hive.ql.optimizer.ColumnPrunerProcFactory$ColumnPrunerFilterProc
  • org.apache.hadoop.hive.ql.optimizer.ConstantPropagateProcFactory$ConstantPropagateFilterProc
  • org.apache.hadoop.hive.ql.optimizer.DynamicPartitionPruningOptimization
  • org.apache.hadoop.hive.ql.optimizer.index.RewriteCanApplyProcFactory$CheckFilterProc
  • org.apache.hadoop.hive.ql.optimizer.NonBlockingOpDeDupProc$FilterDedup
  • org.apache.hadoop.hive.ql.optimizer.pcr.PcrOpProcFactory$FilterPCR
  • org.apache.hadoop.hive.ql.optimizer.physical.NullScanOptimizer$WhereFalseProcessor
  • org.apache.hadoop.hive.ql.optimizer.ppr.OpProcFactory$FilterPPR
  • org.apache.hadoop.hive.ql.optimizer.PrunerOperatorFactory$FilterPruner
  • org.apache.hadoop.hive.ql.optimizer.SamplePruner$FilterPPR
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