对一个小样本数据集(195行,22列)执行简单的查询要么抛出内存不足异常,要么遵循许多增加内存大小的建议,永不结束。
尝试的选项
设置hive.optimize.sort.dynamic.partition=true
增加tez记忆
增加内存和减少无序大小
增加记忆
更像那样
有时oom错误消失了,但它运行了几个小时却没有任何结果。。。
查询
select * lag(status, 1, null) over (partition by type_id order by time) as status_prev from sample_table
永不停止的查询示例
hive -hiveconf hive.tez.container.size=2048 -hiveconf hive.tez.java.opts=-Xmx1640m -hiveconf tez.runtime.io.sort.mb=820 -hiveconf tez.runtime.unordered.output.buffer.size-mb=205 -e "select * lag(status, 1, null) over (partition by type_id order by time) as status_prev from sample_table"
内存不足
Status: Running (Executing on YARN cluster with App id application_1473144435077_0015)
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VERTICES STATUS TOTAL COMPLETED RUNNING PENDING FAILED KILLED
--------------------------------------------------------------------------------
Map 1 FAILED 1 0 0 1 4 0
Reducer 2 KILLED 1 0 0 1 0 0
--------------------------------------------------------------------------------
VERTICES: 00/02 [>>--------------------------] 0% ELAPSED TIME: 18.30 s
--------------------------------------------------------------------------------
Status: Failed
Vertex failed, vertexName=Map 1, vertexId=vertex_1473144435077_0015_1_00, diagnostics=[Task failed, taskId=task_1473144435077_0015_1_00_000000, diagnostics=[TaskAttempt 0 failed, info=[Error: Failure while running task:java.lang.RuntimeException: java.lang.OutOfMemoryError: Java heap space
at org.apache.hadoop.hive.ql.exec.tez.TezProcessor.initializeAndRunProcessor(TezProcessor.java:159)
at org.apache.hadoop.hive.ql.exec.tez.TezProcessor.run(TezProcessor.java:139)
at org.apache.tez.runtime.LogicalIOProcessorRuntimeTask.run(LogicalIOProcessorRuntimeTask.java:344)
at org.apache.tez.runtime.task.TezTaskRunner$TaskRunnerCallable$1.run(TezTaskRunner.java:181)
at org.apache.tez.runtime.task.TezTaskRunner$TaskRunnerCallable$1.run(TezTaskRunner.java:172)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1657)
at org.apache.tez.runtime.task.TezTaskRunner$TaskRunnerCallable.callInternal(TezTaskRunner.java:172)
at org.apache.tez.runtime.task.TezTaskRunner$TaskRunnerCallable.callInternal(TezTaskRunner.java:168)
at org.apache.tez.common.CallableWithNdc.call(CallableWithNdc.java:36)
at java.util.concurrent.FutureTask.run(FutureTask.java:262)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.lang.OutOfMemoryError: Java heap space
at java.nio.HeapByteBuffer.<init>(HeapByteBuffer.java:57)
at java.nio.ByteBuffer.allocate(ByteBuffer.java:331)
at org.apache.tez.runtime.library.common.sort.impl.PipelinedSorter.<init>(PipelinedSorter.java:172)
at org.apache.tez.runtime.library.common.sort.impl.PipelinedSorter.<init>(PipelinedSorter.java:116)
at org.apache.tez.runtime.library.output.OrderedPartitionedKVOutput.start(OrderedPartitionedKVOutput.java:142)
at org.apache.hadoop.hive.ql.exec.tez.MapRecordProcessor.init(MapRecordProcessor.java:142)
at org.apache.hadoop.hive.ql.exec.tez.TezProcessor.initializeAndRunProcessor(TezProcessor.java:149)
... 14 more
永不停止(例如33秒,在数小时内不停止)
Status: Running (Executing on YARN cluster with App id application_1473144435077_0025)
--------------------------------------------------------------------------------
VERTICES STATUS TOTAL COMPLETED RUNNING PENDING FAILED KILLED
--------------------------------------------------------------------------------
Map 1 INITED 1 0 0 1 0 0
Reducer 2 INITED 1 0 0 1 0 0
--------------------------------------------------------------------------------
VERTICES: 00/02 [>>--------------------------] 0% ELAPSED TIME: 33.32 s
--------------------------------------------------------------------------------
1条答案
按热度按时间omhiaaxx1#
我花了太长时间才找到答案,希望这能帮助别人。。。
所以这可以分解为两个问题:
堆大小太小,通过增加堆大小解决
配置单元作业处于挂起状态
下面的命令解决了我的问题
来源