具体错误日志如下：

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)

花了将近一天的时间，最终在这里找到解决办法：

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

我的hive表数据类型是OCRFile类型，似乎是这个类型对于分区有限制。

按贴子所示，修改了set orc.compress.size  = 8192; 发现将分区变小时，脚本即可正常执行，但还是没有完全解决我的问题。

因为时间有限，没有办法深入去解决该问题，所以干脆将该表的数据类型修改成text，问题解决。

先完成业务任务，后续有时间后再翻过来解决这个问题。