Examples of org.apache.hadoop.hive.ql.stats.StatsPublisher.publishStat()

Class org.apache.hadoop.hive.ql.stats.StatsPublisher

Examples of org.apache.hadoop.hive.ql.stats.StatsPublisher.publishStat()

org.apache.hadoop.hive.ql.stats.StatsPublisher.publishStat()
This method publishes a given statistic into a disk storage, possibly HBase or MySQL. @param fileID : a string identification the statistics to be published by all mappers/reducers and then gathered. The statID is unique per output partition per task, e.g.,: the output directory name (uniq per FileSinkOperator) + the partition specs (only for dynamic partitions) + taskID (last component of task file) @param stats : a map containing key-value pairs, where key is a string representing the statistic to be published, and value is a string representing the value for the given statistic @return true if successful, false otherwise

      assertNotNull(statsAggregator);
      assertTrue(statsAggregator.connect(conf));


      // publish stats
      fillStatMap("200", "1000");
      assertTrue(statsPublisher.publishStat("file_00000_a", stats));
      fillStatMap("300", "2000");
      assertTrue(statsPublisher.publishStat("file_00000_b", stats));


      fillStatMap("400", "3000");
      assertTrue(statsPublisher.publishStat("file_00001_a", stats));

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      // publish stats
      fillStatMap("200", "1000");
      assertTrue(statsPublisher.publishStat("file_00000_a", stats));
      fillStatMap("300", "2000");
      assertTrue(statsPublisher.publishStat("file_00000_b", stats));


      fillStatMap("400", "3000");
      assertTrue(statsPublisher.publishStat("file_00001_a", stats));
      fillStatMap("500", "4000");
      assertTrue(statsPublisher.publishStat("file_00001_b", stats));

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      assertTrue(statsPublisher.publishStat("file_00000_a", stats));
      fillStatMap("300", "2000");
      assertTrue(statsPublisher.publishStat("file_00000_b", stats));


      fillStatMap("400", "3000");
      assertTrue(statsPublisher.publishStat("file_00001_a", stats));
      fillStatMap("500", "4000");
      assertTrue(statsPublisher.publishStat("file_00001_b", stats));


      // update which should not take any effect
      fillStatMap("190", "1000");

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


      fillStatMap("400", "3000");
      assertTrue(statsPublisher.publishStat("file_00001_a", stats));
      fillStatMap("500", "4000");
      assertTrue(statsPublisher.publishStat("file_00001_b", stats));


      // update which should not take any effect
      fillStatMap("190", "1000");
      assertTrue(statsPublisher.publishStat("file_00000_a", stats));
      fillStatMap("290", "2000");

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      fillStatMap("500", "4000");
      assertTrue(statsPublisher.publishStat("file_00001_b", stats));


      // update which should not take any effect
      fillStatMap("190", "1000");
      assertTrue(statsPublisher.publishStat("file_00000_a", stats));
      fillStatMap("290", "2000");
      assertTrue(statsPublisher.publishStat("file_00000_b", stats));


      // update that should take effect
      fillStatMap("500", "5000");

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      // update which should not take any effect
      fillStatMap("190", "1000");
      assertTrue(statsPublisher.publishStat("file_00000_a", stats));
      fillStatMap("290", "2000");
      assertTrue(statsPublisher.publishStat("file_00000_b", stats));


      // update that should take effect
      fillStatMap("500", "5000");
      assertTrue(statsPublisher.publishStat("file_00001_a", stats));
      fillStatMap("600", "6000");

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      fillStatMap("290", "2000");
      assertTrue(statsPublisher.publishStat("file_00000_b", stats));


      // update that should take effect
      fillStatMap("500", "5000");
      assertTrue(statsPublisher.publishStat("file_00001_a", stats));
      fillStatMap("600", "6000");
      assertTrue(statsPublisher.publishStat("file_00001_b", stats));


      // aggregate existing stats
      String rows0 = statsAggregator.aggregateStats("file_00000", StatsSetupConst.ROW_COUNT);

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      // update that should take effect
      fillStatMap("500", "5000");
      assertTrue(statsPublisher.publishStat("file_00001_a", stats));
      fillStatMap("600", "6000");
      assertTrue(statsPublisher.publishStat("file_00001_b", stats));


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

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      assertNotNull(statsAggregator);
      assertTrue(statsAggregator.connect(conf));


      // publish stats
      fillStatMap("200", "");
      assertTrue(statsPublisher.publishStat("file_00000_a", stats));
      fillStatMap("300", "2000");
      assertTrue(statsPublisher.publishStat("file_00000_b", stats));




      // aggregate existing stats

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      // publish stats
      fillStatMap("200", "");
      assertTrue(statsPublisher.publishStat("file_00000_a", stats));
      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);

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