java.lang.OutOfMemoryError：执行 Hive 查询时出现 Java 堆空间错误

Posted 2023-04-18

【中文标题】java.lang.OutOfMemoryError：执行 Hive 查询时出现 Java 堆空间错误

【英文标题】：java.lang.OutOfMemoryError: Java heap space error while executing Hive query

【发布时间】：2021-05-28 04:33:22

【问题描述】：

在使用 TEZ 执行引擎从 Hive Shell 运行 Hive 查询时，我在日志中收到 java.lang.OutOfMemoryError: Java heap space error，但查询最终完成。

我想了解为什么我会在日志中收到此错误，此查询过去可以正常工作。

有没有人有任何线索或文件可以帮助我理解这个问题。我用谷歌搜索过，但没有太大帮助。

提前感谢您的帮助！！！

ERROR : Status: Failed
ERROR : Vertex failed, vertexName=Map 3, vertexId=vertex_1622153507491_0145_1_02, diagnostics=[Task failed, taskId=task_1622153507491_0145_1_02_000006, diagnostics=[TaskAttempt 0 failed, info=[Error: Error while running task ( failure ) : java.lang.RuntimeException: Map operator initialization failed
        at org.apache.hadoop.hive.ql.exec.tez.MapRecordProcessor.init(MapRecordProcessor.java:361)
        at org.apache.hadoop.hive.ql.exec.tez.TezProcessor.initializeAndRunProcessor(TezProcessor.java:266)
        at org.apache.hadoop.hive.ql.exec.tez.TezProcessor.run(TezProcessor.java:250)
        at org.apache.tez.runtime.LogicalIOProcessorRuntimeTask.run(LogicalIOProcessorRuntimeTask.java:374)
        at org.apache.tez.runtime.task.TaskRunner2Callable$1.run(TaskRunner2Callable.java:73)
        at org.apache.tez.runtime.task.TaskRunner2Callable$1.run(TaskRunner2Callable.java:61)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:422)
        at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1730)
        at org.apache.tez.runtime.task.TaskRunner2Callable.callInternal(TaskRunner2Callable.java:61)
        at org.apache.tez.runtime.task.TaskRunner2Callable.callInternal(TaskRunner2Callable.java:37)
        at org.apache.tez.common.CallableWithNdc.call(CallableWithNdc.java:36)
        at com.google.common.util.concurrent.TrustedListenableFutureTask$TrustedFutureInterruptibleTask.runInterruptibly(TrustedListenableFutureTask.java:108)
        at com.google.common.util.concurrent.InterruptibleTask.run(InterruptibleTask.java:41)
        at com.google.common.util.concurrent.TrustedListenableFutureTask.run(TrustedListenableFutureTask.java:77)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: Async Initialization failed. abortRequested=false
        at org.apache.hadoop.hive.ql.exec.Operator.completeInitialization(Operator.java:465)
        at org.apache.hadoop.hive.ql.exec.Operator.initialize(Operator.java:399)
        at org.apache.hadoop.hive.ql.exec.Operator.initialize(Operator.java:572)
        at org.apache.hadoop.hive.ql.exec.Operator.initializeChildren(Operator.java:524)
        at org.apache.hadoop.hive.ql.exec.Operator.initialize(Operator.java:385)
        at org.apache.hadoop.hive.ql.exec.tez.MapRecordProcessor.init(MapRecordProcessor.java:342)
        ... 17 more
Caused by: java.lang.OutOfMemoryError: Java heap space
        at org.apache.hadoop.hive.serde2.WriteBuffers.nextBufferToWrite(WriteBuffers.java:261)
        at org.apache.hadoop.hive.serde2.WriteBuffers.write(WriteBuffers.java:237)
        at org.apache.hadoop.hive.ql.exec.vector.mapjoin.fast.VectorMapJoinFastBytesHashMapStore.addMore(VectorMapJoinFastBytesHashMapStore.java:539)
        at org.apache.hadoop.hive.ql.exec.vector.mapjoin.fast.VectorMapJoinFastBytesHashMap.add(VectorMapJoinFastBytesHashMap.java:101)
        at org.apache.hadoop.hive.ql.exec.vector.mapjoin.fast.VectorMapJoinFastStringCommon.adaptPutRow(VectorMapJoinFastStringCommon.java:59)
        at org.apache.hadoop.hive.ql.exec.vector.mapjoin.fast.VectorMapJoinFastStringHashMap.putRow(VectorMapJoinFastStringHashMap.java:37)
        at org.apache.hadoop.hive.ql.exec.vector.mapjoin.fast.VectorMapJoinFastTableContainer.putRow(VectorMapJoinFastTableContainer.java:183)
        at org.apache.hadoop.hive.ql.exec.vector.mapjoin.fast.VectorMapJoinFastHashTableLoader.load(VectorMapJoinFastHashTableLoader.java:130)
        at org.apache.hadoop.hive.ql.exec.MapJoinOperator.loadHashTableInternal(MapJoinOperator.java:344)
        at org.apache.hadoop.hive.ql.exec.MapJoinOperator.loadHashTable(MapJoinOperator.java:413)
        at org.apache.hadoop.hive.ql.exec.MapJoinOperator.lambda$initializeOp$0(MapJoinOperator.java:215)
        at org.apache.hadoop.hive.ql.exec.MapJoinOperator$$Lambda$27/55723736.call(Unknown Source)
        at org.apache.hadoop.hive.ql.exec.tez.ObjectCache.retrieve(ObjectCache.java:96)
        at org.apache.hadoop.hive.ql.exec.tez.ObjectCache$1.call(ObjectCache.java:113)
        at java.util.concurrent.FutureTask.run(FutureTask.java:266)
        ... 3 more

【参考方案1】：

加载 HashTable 时，MapJoin 运算符出现 OOM 异常。也许没有mapjoin的替代路径已经成功，这就是它最终完成的原因。

你可以做什么：尝试增加映射器的并行度，如果你有更多的映射器并且 id 没有帮助，增加映射器的内存。 检查您当前的设置并进行相应更改。

增加映射器并行度（如果原因实际上是因为映射连接加载到内存中的表太大，这可能无济于事）。

set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
set tez.grouping.max-size=32000000;  --decreasing max-size increases parallelism
set tez.grouping.min-size=32000;     --if you have small files less than min-size, mapper will additionally process other files 

增加映射器容器大小（检查您当前的设置并相应增加）。这只是示例：

    set hive.tez.container.size=2048;  --container size in megabytes
    set hive.tez.java.opts=-Xmx1700m;  --set this 80% of hive.tez.container.size

Map 端聚合会导致 OOM，请尝试禁用

    set hive.map.aggr=false; 

检查您的 mapjoin 设置，可能 smalltable 大小设置得太大，与您之前设置的容器大小比较：Hive Map-Join configuration mystery