美文网首页
hive mapjoin MapJoinMemoryExhaus

hive mapjoin MapJoinMemoryExhaus

作者: 旺财旺财 | 来源:发表于2019-02-28 11:40 被阅读0次

    Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: Hive Runtime Error while processing row {"aid":252511110,"property":"{\"aid\":252511110,\"alvl\":0,\"avn\":0,\"avdn\":0,\"avpn\":0,\"avcn\":0,\"avsn\":0,\"avti\":0,\"avtp\":0}","dt":"20190226"}

            at org.apache.hadoop.hive.ql.exec.MapOperator.process(MapOperator.java:507)

            at org.apache.hadoop.hive.ql.exec.spark.SparkMapRecordHandler.processRow(SparkMapRecordHandler.java:141)

    Caused by: org.apache.hadoop.hive.ql.exec.mapjoin.MapJoinMemoryExhaustionException: 2019-02-28 04:08:29 Processing rows:        200000  Hashtable size: 199999  Memory usage:  7528720336      percentage:    0.60

      at org.apache.hadoop.hive.ql.exec.mapjoin.MapJoinMemoryExhaustionHandler.checkMemoryStatus(MapJoinMemoryExhaustionHandler.java:99)

    at org.apache.hadoop.hive.ql.exec.HashTableSinkOperator.processOp(HashTableSinkOperator.java:249)

    at org.apache.hadoop.hive.ql.exec.SparkHashTableSinkOperator.processOp(SparkHashTableSinkOperator.java:79)

    at org.apache.hadoop.hive.ql.exec.Operator.forward(Operator.java:815)

    at org.apache.hadoop.hive.ql.exec.SelectOperator.processOp(SelectOperator.java:84)

    at org.apache.hadoop.hive.ql.exec.Operator.forward(Operator.java:815)

    at org.apache.hadoop.hive.ql.exec.TableScanOperator.processOp(TableScanOperator.java:97)

    at org.apache.hadoop.hive.ql.exec.MapOperator$MapOpCtx.forward(MapOperator.java:157)

    at org.apache.hadoop.hive.ql.exec.MapOperator.process(MapOperator.java:497)

    ... 17 more

    19/02/28 04:08:36 INFO executor.CoarseGrainedExecutorBackend: Driver commanded a shutdown

    原因:

    MapJoinMemoryExhaustionHandler.java 中有如下代码

    public void checkMemoryStatus(long tableContainerSize, long numRows)

      throws MapJoinMemoryExhaustionException {

        long usedMemory = memoryMXBean.getHeapMemoryUsage().getUsed();

        double percentage = (double) usedMemory / (double) maxHeapSize;

        String msg = Utilities.now() + "\tProcessing rows:\t" + numRows + "\tHashtable size:\t"

            + tableContainerSize + "\tMemory usage:\t" + usedMemory + "\tpercentage:\t" + percentageNumberFormat.format(percentage);

        console.printInfo(msg);

        if(percentage > maxMemoryUsage) {

          throw new MapJoinMemoryExhaustionException(msg);

        }

      }

    最终解决办法:

    hive在 0.11后 hive.auto.convert.join 自动为true,也就是如果满足条件会自动去做mapjoin, mapjoin的参数判断见

    https://yq.aliyun.com/articles/64306

    参考:

    hive-15221: https://issues.apache.org/jira/browse/HIVE-15221?spm=a2c4e.11153940.blogcont64306.15.eeb3541edXrhsd

    https://yq.aliyun.com/articles/64306

    https://stackoverflow.com/questions/22977790/hive-query-execution-error-return-code-3-from-mapredlocaltask?spm=a2c4e.11153940.blogcont64306.13.eeb3541edXrhsd

    https://yq.aliyun.com/articles/476771?spm=a2c4e.11153940.blogcont64306.28.eeb3541edXrhsd

    相关文章

      网友评论

          本文标题:hive mapjoin MapJoinMemoryExhaus

          本文链接:https://www.haomeiwen.com/subject/wakhuqtx.html