Package org.apache.hadoop.hive.ql.parse

Examples of org.apache.hadoop.hive.ql.parse.PrunedPartitionList

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          } else if (tblSpec.specType == tableSpec.SpecType.DYNAMIC_PARTITION) {
            // dynamic partition
            confirmedPartns.addAll(tblSpec.partitions);
          }
          if (confirmedPartns.size() > 0) {
            PrunedPartitionList partList = new PrunedPartitionList(confirmedPartns, new HashSet<Partition>(), null);
            GenMapRedUtils.setTaskPlan(currAliasId, currTopOp, currWork, false, ctx, partList);
          } else { // non-partitioned table
            GenMapRedUtils.setTaskPlan(currAliasId, currTopOp, currWork, false, ctx);
          }
        }
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                cols.add(columns.get(i).getName());
              }
            }
            if (tbl.isPartitioned() && tableUsePartLevelAuth.get(tbl.getTableName())) {
              String alias_id = topOpMap.getKey();
              PrunedPartitionList partsList = PartitionPruner.prune(parseCtx
                  .getTopToTable().get(topOp), parseCtx.getOpToPartPruner()
                  .get(topOp), parseCtx.getConf(), alias_id, parseCtx
                  .getPrunedPartitions());
              Set<Partition> parts = new HashSet<Partition>();
              parts.addAll(partsList.getConfirmedPartns());
              parts.addAll(partsList.getUnknownPartns());
              for (Partition part : parts) {
                List<String> existingCols = part2Cols.get(part);
                if (existingCols == null) {
                  existingCols = new ArrayList<String>();
                }
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              sortCols);
          if (!bucketGroupBy) {
            return;
          }
        } else {
          PrunedPartitionList partsList = null;
          try {
            partsList = pGraphContext.getOpToPartList().get(ts);
            if (partsList == null) {
              partsList = PartitionPruner.prune(destTable, pGraphContext
                .getOpToPartPruner().get(ts), pGraphContext.getConf(), table,
                pGraphContext.getPrunedPartitions());
              pGraphContext.getOpToPartList().put(ts, partsList);
            }
          } catch (HiveException e) {
            // Has to use full name to make sure it does not conflict with
            // org.apache.commons.lang.StringUtils
            LOG.error(org.apache.hadoop.util.StringUtils.stringifyException(e));
            throw new SemanticException(e.getMessage(), e);
          }
          List<Partition> parts = new ArrayList<Partition>();
          parts.addAll(partsList.getConfirmedPartns());
          parts.addAll(partsList.getUnknownPartns());
          for (Partition part : parts) {
            List<String> bucketCols = part.getBucketCols();
            List<String> sortCols = part.getSortColNames();
            bucketGroupBy = matchBucketOrSortedColumns(groupByCols, bucketCols,
                sortCols);
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    ArrayList<PartitionDesc> partDesc = new ArrayList<PartitionDesc>();

    Path tblDir = null;
    TableDesc tblDesc = null;

    PrunedPartitionList partsList = pList;

    plan.setNameToSplitSample(parseCtx.getNameToSplitSample());

    if (partsList == null) {
      try {
        partsList = parseCtx.getOpToPartList().get((TableScanOperator)topOp);
        if (partsList == null) {
          partsList = PartitionPruner.prune(parseCtx.getTopToTable().get(topOp),
            parseCtx.getOpToPartPruner().get(topOp), opProcCtx.getConf(),
            alias_id, parseCtx.getPrunedPartitions());
          parseCtx.getOpToPartList().put((TableScanOperator)topOp, partsList);
        }
      } catch (SemanticException e) {
        throw e;
      } catch (HiveException e) {
        LOG.error(org.apache.hadoop.util.StringUtils.stringifyException(e));
        throw new SemanticException(e.getMessage(), e);
      }
    }

    // Generate the map work for this alias_id
    Set<Partition> parts = null;
    // pass both confirmed and unknown partitions through the map-reduce
    // framework

    parts = partsList.getConfirmedPartns();
    parts.addAll(partsList.getUnknownPartns());
    PartitionDesc aliasPartnDesc = null;
    try {
      if (!parts.isEmpty()) {
        aliasPartnDesc = Utilities.getPartitionDesc(parts.iterator().next());
      }
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        }
      }

      Table tbl = topToTable.get(tso);
      if (tbl.isPartitioned()) {
        PrunedPartitionList prunedParts = null;
        try {
          prunedParts = pGraphContext.getOpToPartList().get(tso);
          if (prunedParts == null) {
            prunedParts = PartitionPruner.prune(tbl, pGraphContext
                .getOpToPartPruner().get(tso), pGraphContext.getConf(), alias,
                pGraphContext.getPrunedPartitions());
            pGraphContext.getOpToPartList().put(tso, prunedParts);
          }
        } catch (HiveException e) {
          LOG.error(org.apache.hadoop.util.StringUtils.stringifyException(e));
          throw new SemanticException(e.getMessage(), e);
        }
        boolean ret = true;
        for (Partition p : prunedParts.getConfirmedPartns()) {
          ret = ret && checkSortColsAndJoinCols(p.getSortCols(), joinCols);
          if (!ret) {
            return false;
          }
        }
        for (Partition p : prunedParts.getUnknownPartns()) {
          ret = ret && checkSortColsAndJoinCols(p.getSortCols(), joinCols);
          if (!ret) {
            return false;
          }
        }
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      Map<Table, List<Index>> indexes)
    throws HiveException {
    Hive hive = Hive.get(pctx.getConf());
    Set<Partition> queryPartitions = null;
    // make sure each partition exists on the index table
    PrunedPartitionList queryPartitionList = pctx.getOpToPartList().get(tableScan);
    if(queryPartitionList.getConfirmedPartns() != null
        && !queryPartitionList.getConfirmedPartns().isEmpty()){
      queryPartitions = queryPartitionList.getConfirmedPartns();
    }else if(queryPartitionList.getUnknownPartns() != null
        && !queryPartitionList.getUnknownPartns().isEmpty()){
      queryPartitions = queryPartitionList.getUnknownPartns();
    }

    if(queryPartitions == null) {
      return null;
    }
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          } else if (tblSpec.specType == tableSpec.SpecType.DYNAMIC_PARTITION) {
            // dynamic partition
            confirmedPartns.addAll(tblSpec.partitions);
          }
          if (confirmedPartns.size() > 0) {
            PrunedPartitionList partList = new PrunedPartitionList(confirmedPartns, new HashSet<Partition>(), null);
            GenMapRedUtils.setTaskPlan(currAliasId, currTopOp, currWork, false, ctx, partList);
          } else { // non-partitioned table
            GenMapRedUtils.setTaskPlan(currAliasId, currTopOp, currWork, false, ctx);
          }
        }
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    ArrayList<PartitionDesc> partDesc = new ArrayList<PartitionDesc>();

    Path tblDir = null;
    TableDesc tblDesc = null;

    PrunedPartitionList partsList = pList;

    plan.setNameToSplitSample(parseCtx.getNameToSplitSample());

    if (partsList == null) {
      try {
        partsList = parseCtx.getOpToPartList().get((TableScanOperator)topOp);
        if (partsList == null) {
          partsList = PartitionPruner.prune(parseCtx.getTopToTable().get(topOp),
            parseCtx.getOpToPartPruner().get(topOp), opProcCtx.getConf(),
            alias_id, parseCtx.getPrunedPartitions());
          parseCtx.getOpToPartList().put((TableScanOperator)topOp, partsList);
        }
      } catch (SemanticException e) {
        throw e;
      } catch (HiveException e) {
        LOG.error(org.apache.hadoop.util.StringUtils.stringifyException(e));
        throw new SemanticException(e.getMessage(), e);
      }
    }

    // Generate the map work for this alias_id
    Set<Partition> parts = null;
    // pass both confirmed and unknown partitions through the map-reduce
    // framework

    parts = partsList.getConfirmedPartns();
    parts.addAll(partsList.getUnknownPartns());
    PartitionDesc aliasPartnDesc = null;
    try {
      if (!parts.isEmpty()) {
        aliasPartnDesc = Utilities.getPartitionDesc(parts.iterator().next());
      }
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                cols.add(columns.get(i).getName());
              }
            }
            if (tbl.isPartitioned() && tableUsePartLevelAuth.get(tbl.getTableName())) {
              String alias_id = topOpMap.getKey();
              PrunedPartitionList partsList = PartitionPruner.prune(parseCtx
                  .getTopToTable().get(topOp), parseCtx.getOpToPartPruner()
                  .get(topOp), parseCtx.getConf(), alias_id, parseCtx
                  .getPrunedPartitions());
              Set<Partition> parts = new HashSet<Partition>();
              parts.addAll(partsList.getConfirmedPartns());
              parts.addAll(partsList.getUnknownPartns());
              for (Partition part : parts) {
                List<String> existingCols = part2Cols.get(part);
                if (existingCols == null) {
                  existingCols = new ArrayList<String>();
                }
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        if (!table.isPartitioned()) {
          averageSize = getSize(conf, table);
        }
        else {
          // For partitioned tables, get the size of all the partitions
          PrunedPartitionList partsList = PartitionPruner.prune(topOp, parseCtx, null);
          numPartitions = partsList.getNotDeniedPartns().size();
          long totalSize = 0;
          for (Partition part : partsList.getNotDeniedPartns()) {
            totalSize += getSize(conf, part);
          }
          averageSize = numPartitions == 0 ? 0 : totalSize/numPartitions;
        }
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Related Classes of org.apache.hadoop.hive.ql.parse.PrunedPartitionList

  • org.apache.hadoop.hive.ql.Driver
  • org.apache.hadoop.hive.ql.optimizer.AbstractBucketJoinProc
  • org.apache.hadoop.hive.ql.optimizer.AbstractSMBJoinProc
  • org.apache.hadoop.hive.ql.optimizer.AvgPartitionSizeBasedBigTableSelectorForAutoSMJ
  • org.apache.hadoop.hive.ql.optimizer.BucketingSortingReduceSinkOptimizer$BucketSortReduceSinkProcessor
  • org.apache.hadoop.hive.ql.optimizer.BucketMapJoinOptimizer$BucketMapjoinOptProc
  • org.apache.hadoop.hive.ql.optimizer.DynamicPartitionPruningOptimization
  • org.apache.hadoop.hive.ql.optimizer.GenMapRedUtils
  • org.apache.hadoop.hive.ql.optimizer.GenMRTableScan1
  • org.apache.hadoop.hive.ql.optimizer.GlobalLimitOptimizer
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