List of aggregateStats() Examples

Examples of aggregateStats()

org.apache.hadoop.hive.ql.stats.StatsAggregator.aggregateStats()
This method aggregates a given statistic from all tasks (partial stats). After aggregation, this method also automatically removes all records that have been aggregated. @param keyPrefix a prefix of the keys used in StatsPublisher to publish stats. Any rows that starts with the same prefix will be aggregated. For example, if the StatsPublisher uses the following compound key to publish stats: the output directory name (unique per FileSinkOperator) + the partition specs (only for dynamic partitions) + taskID (last component of task file) The keyPrefix for aggregation could be first 2 components. This will aggregates stats across all tasks for each partition. @param statType a string noting the key to be published. Ex: "numRows". @return a string representation of a long value, null if there are any error/exception.

Examples of org.apache.hadoop.hive.ql.stats.StatsAggregator.aggregateStats()

      fillStatMap("300", "2000");
      assertTrue(statsPublisher.publishStat("file_00000_b", stats));




      // aggregate existing stats
      String rows0 = statsAggregator.aggregateStats("file_00000", StatsSetupConst.ROW_COUNT);
      assertEquals("500", rows0);
      String usize0 = statsAggregator.aggregateStats("file_00000",
          StatsSetupConst.RAW_DATA_SIZE);
      assertEquals("2000", usize0);

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Examples of org.apache.hadoop.hive.ql.stats.StatsAggregator.aggregateStats()




      // aggregate existing stats
      String rows0 = statsAggregator.aggregateStats("file_00000", StatsSetupConst.ROW_COUNT);
      assertEquals("500", rows0);
      String usize0 = statsAggregator.aggregateStats("file_00000",
          StatsSetupConst.RAW_DATA_SIZE);
      assertEquals("2000", usize0);


      // update which should not take any effect - plus the map published is a supset of supported
      // stats

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Examples of org.apache.hadoop.hive.ql.stats.StatsAggregator.aggregateStats()

      assertTrue(statsPublisher.publishStat("file_00000_a", stats));
      fillStatMap("290", "");
      assertTrue(statsPublisher.publishStat("file_00000_b", stats));


      // nothing changed
      rows0 = statsAggregator.aggregateStats("file_00000", StatsSetupConst.ROW_COUNT);
      assertEquals("500", rows0);
      usize0 = statsAggregator.aggregateStats("file_00000",
          StatsSetupConst.RAW_DATA_SIZE);
      assertEquals("2000", usize0);

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Examples of org.apache.hadoop.hive.ql.stats.StatsAggregator.aggregateStats()

      assertTrue(statsPublisher.publishStat("file_00000_b", stats));


      // nothing changed
      rows0 = statsAggregator.aggregateStats("file_00000", StatsSetupConst.ROW_COUNT);
      assertEquals("500", rows0);
      usize0 = statsAggregator.aggregateStats("file_00000",
          StatsSetupConst.RAW_DATA_SIZE);
      assertEquals("2000", usize0);


      fillStatMap("500", "");
      assertTrue(statsPublisher.publishStat("file_00000_a", stats));

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Examples of org.apache.hadoop.hive.ql.stats.StatsAggregator.aggregateStats()

      assertTrue(statsPublisher.publishStat("file_00000_a", stats));
      fillStatMap("500", "");
      assertTrue(statsPublisher.publishStat("file_00000_b", stats));


      // changed + the rawDataSize size was overwriten !!!
      rows0 = statsAggregator.aggregateStats("file_00000", StatsSetupConst.ROW_COUNT);
      assertEquals("1000", rows0);
      usize0 = statsAggregator.aggregateStats("file_00000",
          StatsSetupConst.RAW_DATA_SIZE);
      assertEquals("0", usize0);

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Examples of org.apache.hadoop.hive.ql.stats.StatsAggregator.aggregateStats()

      assertTrue(statsPublisher.publishStat("file_00000_b", stats));


      // changed + the rawDataSize size was overwriten !!!
      rows0 = statsAggregator.aggregateStats("file_00000", StatsSetupConst.ROW_COUNT);
      assertEquals("1000", rows0);
      usize0 = statsAggregator.aggregateStats("file_00000",
          StatsSetupConst.RAW_DATA_SIZE);
      assertEquals("0", usize0);


      assertTrue(statsAggregator.cleanUp("file_0000"));

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Examples of org.apache.hadoop.hive.ql.stats.StatsAggregator.aggregateStats()


      // cleanUp
      assertTrue(statsAggregator.cleanUp("file_00000"));


      // now clean-up just for one key
      String rows0 = statsAggregator.aggregateStats("file_00000", StatsSetupConst.ROW_COUNT);
      assertEquals("0", rows0);
      String usize0 = statsAggregator.aggregateStats("file_00000",
          StatsSetupConst.RAW_DATA_SIZE);
      assertEquals("0", usize0);

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Examples of org.apache.hadoop.hive.ql.stats.StatsAggregator.aggregateStats()

      assertTrue(statsAggregator.cleanUp("file_00000"));


      // now clean-up just for one key
      String rows0 = statsAggregator.aggregateStats("file_00000", StatsSetupConst.ROW_COUNT);
      assertEquals("0", rows0);
      String usize0 = statsAggregator.aggregateStats("file_00000",
          StatsSetupConst.RAW_DATA_SIZE);
      assertEquals("0", usize0);


      // this should still be in the table
      String rows1 = statsAggregator.aggregateStats("file_00001", StatsSetupConst.ROW_COUNT);

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Examples of org.apache.hadoop.hive.ql.stats.StatsAggregator.aggregateStats()

      String usize0 = statsAggregator.aggregateStats("file_00000",
          StatsSetupConst.RAW_DATA_SIZE);
      assertEquals("0", usize0);


      // this should still be in the table
      String rows1 = statsAggregator.aggregateStats("file_00001", StatsSetupConst.ROW_COUNT);
      assertEquals("900", rows1);
      String usize1 = statsAggregator.aggregateStats("file_00001",
          StatsSetupConst.RAW_DATA_SIZE);
      assertEquals("7000", usize1);

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Examples of org.apache.hadoop.hive.ql.stats.StatsAggregator.aggregateStats()

      assertEquals("0", usize0);


      // this should still be in the table
      String rows1 = statsAggregator.aggregateStats("file_00001", StatsSetupConst.ROW_COUNT);
      assertEquals("900", rows1);
      String usize1 = statsAggregator.aggregateStats("file_00001",
          StatsSetupConst.RAW_DATA_SIZE);
      assertEquals("7000", usize1);


      assertTrue(statsAggregator.cleanUp("file_0000"));

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