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


      // 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));


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

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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));


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


      // now clean-up just for one key

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        key = Utilities.join(prefix, taskID);
      }
      for(String statType : stats.get(pspecs).getStoredStats()) {
        statsToPublish.put(statType, Long.toString(stats.get(pspecs).getStat(statType)));
      }
      if (!statsPublisher.publishStat(key, statsToPublish)) {
        if (isStatsReliable) {
          throw new HiveException(ErrorMsg.STATSPUBLISHER_PUBLISHING_ERROR.getErrorCodedMsg());
        }
      }
      LOG.info("publishing : " + key + " : " + statsToPublish.toString());

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    // construct statistics to be stored
    Map<String, String> statsToPublish = new HashMap<String, String>();
    statsToPublish.put(StatsSetupConst.RAW_DATA_SIZE, Long.toString(uncompressedFileSize));
    statsToPublish.put(StatsSetupConst.ROW_COUNT, Long.toString(rowNo));


    if (!statsPublisher.publishStat(key, statsToPublish)) {
      // The original exception is lost.
      // Not changing the interface to maintain backward compatibility
      throw new HiveException(ErrorMsg.STATSPUBLISHER_PUBLISHING_ERROR.getErrorCodedMsg());
    }

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    } else {
      // In case of a partition, the key for temp storage is
      // "tableName + partitionSpecs + taskID"
      key = conf.getStatsAggPrefix() + partitionSpecs + Path.SEPARATOR + taskID;
    }
    statsPublisher.publishStat(key, StatsSetupConst.ROW_COUNT, Long.toString(stat.getNumRows()));
    statsPublisher.closeConnection();
  }
}

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        key = Utilities.join(prefix, taskID);
      }
      for(String statType : stats.get(pspecs).getStoredStats()) {
        statsToPublish.put(statType, Long.toString(stats.get(pspecs).getStat(statType)));
      }
      if (!statsPublisher.publishStat(key, statsToPublish)) {
        if (isStatsReliable) {
          throw new HiveException(ErrorMsg.STATSPUBLISHER_PUBLISHING_ERROR.getErrorCodedMsg());
        }
      }
      LOG.info("publishing : " + key + " : " + statsToPublish.toString());

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      Map<String, String> statsToPublish = new HashMap<String, String>();
      for (String statType : fspValue.stat.getStoredStats()) {
        statsToPublish.put(statType, Long.toString(fspValue.stat.getStat(statType)));
      }
      if (!statsPublisher.publishStat(key, statsToPublish)) {
        // The original exception is lost.
        // Not changing the interface to maintain backward compatibility
        if (isStatsReliable) {
          throw new HiveException(ErrorMsg.STATSPUBLISHER_PUBLISHING_ERROR.getErrorCodedMsg());
        }

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        key = keyPrefix + taskID;
      }
      for(String statType : stats.get(pspecs).getStoredStats()) {
        statsToPublish.put(statType, Long.toString(stats.get(pspecs).getStat(statType)));
      }
      if (!statsPublisher.publishStat(key, statsToPublish)) {
        if (isStatsReliable) {
          throw new HiveException(ErrorMsg.STATSPUBLISHER_PUBLISHING_ERROR.getErrorCodedMsg());
        }
      }
      LOG.info("publishing : " + key + " : " + statsToPublish.toString());

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      }
      Map<String, String> statsToPublish = new HashMap<String, String>();
      for (String statType : fspValue.stat.getStoredStats()) {
        statsToPublish.put(statType, Long.toString(fspValue.stat.getStat(statType)));
      }
      if (!statsPublisher.publishStat(key, statsToPublish)) {
        // The original exception is lost.
        // Not changing the interface to maintain backward compatibility
        if (isStatsReliable) {
          throw new HiveException(ErrorMsg.STATSPUBLISHER_PUBLISHING_ERROR.getErrorCodedMsg());
        }

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