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

Examples of org.apache.hadoop.hive.ql.lib.NodeProcessorCtx

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   * ParseContext)
   */
  @Override
  public ParseContext transform(ParseContext pctx) throws SemanticException {
    // create a the context for walking operators
    NodeProcessorCtx opPartWalkerCtx = new LBOpPartitionWalkerCtx(pctx);

    // Retrieve all partitions generated from partition pruner and partition column pruner
    PrunerUtils.walkOperatorTree(pctx, opPartWalkerCtx, LBPartitionProcFactory.getFilterProc(),
        LBPartitionProcFactory.getDefaultProc());

    PrunedPartitionList partsList = ((LBOpPartitionWalkerCtx) opPartWalkerCtx).getPartitions();
    if (partsList != null) {
      Set<Partition> parts = null;
      parts = partsList.getConfirmedPartns();
      parts.addAll(partsList.getUnknownPartns());
      if ((parts != null) && (parts.size() > 0)) {
        for (Partition part : parts) {
          // only process partition which is skewed and list bucketed
          if (ListBucketingPrunerUtils.isListBucketingPart(part)) {
            // create a the context for walking operators
            NodeProcessorCtx opWalkerCtx = new LBOpWalkerCtx(pctx.getOpToPartToSkewedPruner(),
                part);

            // walk operator tree to create expression tree for list bucketing
            PrunerUtils.walkOperatorTree(pctx, opWalkerCtx, LBProcFactory.getFilterProc(),
                LBProcFactory.getDefaultProc());
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   * ParseContext)
   */
  @Override
  public ParseContext transform(ParseContext pctx) throws SemanticException {
    // create a the context for walking operators
    NodeProcessorCtx opPartWalkerCtx = new LBOpPartitionWalkerCtx(pctx);

    // Retrieve all partitions generated from partition pruner and partition column pruner
    PrunerUtils.walkOperatorTree(pctx, opPartWalkerCtx, LBPartitionProcFactory.getFilterProc(),
        LBPartitionProcFactory.getDefaultProc());

    PrunedPartitionList partsList = ((LBOpPartitionWalkerCtx) opPartWalkerCtx).getPartitions();
    if (partsList != null) {
      Set<Partition> parts = partsList.getPartitions();
      if ((parts != null) && (parts.size() > 0)) {
        for (Partition part : parts) {
          // only process partition which is skewed and list bucketed
          if (ListBucketingPrunerUtils.isListBucketingPart(part)) {
            // create a the context for walking operators
            NodeProcessorCtx opWalkerCtx = new LBOpWalkerCtx(pctx.getOpToPartToSkewedPruner(),
                part);

            // walk operator tree to create expression tree for list bucketing
            PrunerUtils.walkOperatorTree(pctx, opWalkerCtx, LBProcFactory.getFilterProc(),
                LBProcFactory.getDefaultProc());
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   * @throws SemanticException
   */
  public static ExprNodeDesc genPruner(String tabAlias, ExprNodeDesc pred, Partition part)
      throws SemanticException {
    // Create the walker, the rules dispatcher and the context.
    NodeProcessorCtx lbprCtx = new LBExprProcCtx(tabAlias, part);

    Map<Node, Object> outputMap = PrunerUtils.walkExprTree(pred, lbprCtx, getColumnProcessor(),
        getFieldProcessor(), getGenericFuncProcessor(), getDefaultExprProcessor());

    // Get the exprNodeDesc corresponding to the first start node;
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   * ParseContext)
   */
  @Override
  public ParseContext transform(ParseContext pctx) throws SemanticException {
    // create a the context for walking operators
    NodeProcessorCtx opPartWalkerCtx = new LBOpPartitionWalkerCtx(pctx);

    // Retrieve all partitions generated from partition pruner and partition column pruner
    PrunerUtils.walkOperatorTree(pctx, opPartWalkerCtx, LBPartitionProcFactory.getFilterProc(),
        LBPartitionProcFactory.getDefaultProc());

    PrunedPartitionList partsList = ((LBOpPartitionWalkerCtx) opPartWalkerCtx).getPartitions();
    if (partsList != null) {
      Set<Partition> parts = partsList.getPartitions();
      if ((parts != null) && (parts.size() > 0)) {
        for (Partition part : parts) {
          // only process partition which is skewed and list bucketed
          if (ListBucketingPrunerUtils.isListBucketingPart(part)) {
            // create a the context for walking operators
            NodeProcessorCtx opWalkerCtx = new LBOpWalkerCtx(pctx.getOpToPartToSkewedPruner(),
                part);

            // walk operator tree to create expression tree for list bucketing
            PrunerUtils.walkOperatorTree(pctx, opWalkerCtx, LBProcFactory.getFilterProc(),
                LBProcFactory.getDefaultProc());
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   * ParseContext)
   */
  @Override
  public ParseContext transform(ParseContext pctx) throws SemanticException {
    // create a the context for walking operators
    NodeProcessorCtx opPartWalkerCtx = new LBOpPartitionWalkerCtx(pctx);

    // Retrieve all partitions generated from partition pruner and partition column pruner
    PrunerUtils.walkOperatorTree(pctx, opPartWalkerCtx, LBPartitionProcFactory.getFilterProc(),
        LBPartitionProcFactory.getDefaultProc());

    PrunedPartitionList partsList = ((LBOpPartitionWalkerCtx) opPartWalkerCtx).getPartitions();
    if (partsList != null) {
      Set<Partition> parts = null;
      parts = partsList.getConfirmedPartns();
      parts.addAll(partsList.getUnknownPartns());
      if ((parts != null) && (parts.size() > 0)) {
        for (Partition part : parts) {
          // only process partition which is skewed and list bucketed
          if (ListBucketingPrunerUtils.isListBucketingPart(part)) {
            // create a the context for walking operators
            NodeProcessorCtx opWalkerCtx = new LBOpWalkerCtx(pctx.getOpToPartToSkewedPruner(),
                part);

            // walk operator tree to create expression tree for list bucketing
            PrunerUtils.walkOperatorTree(pctx, opWalkerCtx, LBProcFactory.getFilterProc(),
                LBProcFactory.getDefaultProc());
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Related Classes of org.apache.hadoop.hive.ql.lib.NodeProcessorCtx

  • org.apache.hadoop.hive.ql.optimizer.listbucketingpruner.LBExprProcFactory
  • org.apache.hadoop.hive.ql.optimizer.listbucketingpruner.ListBucketingPruner
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