執行Hive出現Error running child : java.lang.OutOfMemoryError: Java heap space錯誤

具體錯誤日誌以下：

2018-05-11 15:16:49,429 FATAL [main] org.apache.hadoop.mapred.YarnChild: Error running child : java.lang.OutOfMemoryError: Java heap space
	at java.nio.HeapByteBuffer.<init>(HeapByteBuffer.java:57)
	at java.nio.ByteBuffer.allocate(ByteBuffer.java:335)
	at org.apache.hadoop.hive.ql.io.orc.OutStream.getNewInputBuffer(OutStream.java:107)
	at org.apache.hadoop.hive.ql.io.orc.OutStream.write(OutStream.java:128)
	at org.apache.hadoop.hive.ql.io.orc.RunLengthIntegerWriterV2.writeDeltaValues(RunLengthIntegerWriterV2.java:238)
	at org.apache.hadoop.hive.ql.io.orc.RunLengthIntegerWriterV2.writeValues(RunLengthIntegerWriterV2.java:186)
	at org.apache.hadoop.hive.ql.io.orc.RunLengthIntegerWriterV2.write(RunLengthIntegerWriterV2.java:788)
	at org.apache.hadoop.hive.ql.io.orc.WriterImpl$StringTreeWriter$1.visit(WriterImpl.java:1179)
	at org.apache.hadoop.hive.ql.io.orc.StringRedBlackTree.recurse(StringRedBlackTree.java:152)
	at org.apache.hadoop.hive.ql.io.orc.StringRedBlackTree.recurse(StringRedBlackTree.java:150)
	at org.apache.hadoop.hive.ql.io.orc.StringRedBlackTree.recurse(StringRedBlackTree.java:153)
	at org.apache.hadoop.hive.ql.io.orc.StringRedBlackTree.visit(StringRedBlackTree.java:163)
	at org.apache.hadoop.hive.ql.io.orc.WriterImpl$StringTreeWriter.flushDictionary(WriterImpl.java:1173)
	at org.apache.hadoop.hive.ql.io.orc.WriterImpl$StringTreeWriter.writeStripe(WriterImpl.java:1125)
	at org.apache.hadoop.hive.ql.io.orc.WriterImpl$StructTreeWriter.writeStripe(WriterImpl.java:1617)
	at org.apache.hadoop.hive.ql.io.orc.WriterImpl.flushStripe(WriterImpl.java:1997)
	at org.apache.hadoop.hive.ql.io.orc.WriterImpl.close(WriterImpl.java:2289)
	at org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat$OrcRecordWriter.close(OrcOutputFormat.java:106)
	at org.apache.hadoop.hive.ql.exec.FileSinkOperator$FSPaths.closeWriters(FileSinkOperator.java:185)
	at org.apache.hadoop.hive.ql.exec.FileSinkOperator.closeOp(FileSinkOperator.java:958)
	at org.apache.hadoop.hive.ql.exec.Operator.close(Operator.java:598)
	at org.apache.hadoop.hive.ql.exec.Operator.close(Operator.java:610)
	at org.apache.hadoop.hive.ql.exec.Operator.close(Operator.java:610)
	at org.apache.hadoop.hive.ql.exec.Operator.close(Operator.java:610)
	at org.apache.hadoop.hive.ql.exec.Operator.close(Operator.java:610)
	at org.apache.hadoop.hive.ql.exec.mr.ExecReducer.close(ExecReducer.java:287)
	at org.apache.hadoop.mapred.ReduceTask.runOldReducer(ReduceTask.java:453)
	at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:392)
	at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:163)
	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:1671)

　　

 

花了將近一天的時間，最終在這裏找到解決辦法：

https://community.hortonworks.com/questions/37603/i-am-getting-outofmemory-while-inserting-the-data.html

 

個人hive表數據類型是OCRFile類型，彷佛是這個類型對於分區有限制。

按貼子所示，修改了set orc.compress.size  = 8192; 發現將分區變小時，腳本便可正常執行，但仍是沒有徹底解決個人問題。

由於時間有限，沒有辦法深刻去解決該問題，因此乾脆將該表的數據類型修改爲text，問題解決。

先完成業務任務，後續有時間後再翻過來解決這個問題。