Java 使用MapR多路输出写入OrcNewOutputFormat时出错

我们从ORC文件中读取数据，并使用多路输出将其写入ORC和拼花地板格式。我们的工作只是地图，没有减速器。 在某些情况下，我们会遇到以下错误，导致整个作业失败。我认为这两个错误都是相关的，但不确定为什么不是每个工作都会出现这些错误。 如果需要更多信息，请告诉我

Error: java.lang.RuntimeException: Overflow of newLength. smallBuffer.length=1073741824, nextElemLength=300947

Error: java.lang.ArrayIndexOutOfBoundsException: 1000
    at org.apache.orc.impl.writer.StringTreeWriter.writeBatch(StringTreeWriter.java:70)
    at org.apache.orc.impl.writer.StructTreeWriter.writeRootBatch(StructTreeWriter.java:56)
    at org.apache.orc.impl.WriterImpl.addRowBatch(WriterImpl.java:546)
    at org.apache.hadoop.hive.ql.io.orc.WriterImpl.flushInternalBatch(WriterImpl.java:297)
    at org.apache.hadoop.hive.ql.io.orc.WriterImpl.close(WriterImpl.java:334)
    at org.apache.hadoop.hive.ql.io.orc.OrcNewOutputFormat$OrcRecordWriter.close(OrcNewOutputFormat.java:67)
    at org.apache.hadoop.mapreduce.lib.output.MultipleOutputs$RecordWriterWithCounter.close(MultipleOutputs.java:375)
    at org.apache.hadoop.mapreduce.lib.output.MultipleOutputs.close(MultipleOutputs.java:574)


Error: java.lang.NullPointerException
    at java.lang.System.arraycopy(Native Method)
    at org.apache.orc.impl.DynamicByteArray.add(DynamicByteArray.java:115)
    at org.apache.orc.impl.StringRedBlackTree.addNewKey(StringRedBlackTree.java:48)
    at org.apache.orc.impl.StringRedBlackTree.add(StringRedBlackTree.java:60)
    at org.apache.orc.impl.writer.StringTreeWriter.writeBatch(StringTreeWriter.java:70)
    at org.apache.orc.impl.writer.StructTreeWriter.writeRootBatch(StructTreeWriter.java:56)
    at org.apache.orc.impl.WriterImpl.addRowBatch(WriterImpl.java:546)
    at org.apache.hadoop.hive.ql.io.orc.WriterImpl.flushInternalBatch(WriterImpl.java:297)
    at org.apache.hadoop.hive.ql.io.orc.WriterImpl.close(WriterImpl.java:334)
    at org.apache.hadoop.hive.ql.io.orc.OrcNewOutputFormat$OrcRecordWriter.close(OrcNewOutputFormat.java:67)
    at org.apache.hadoop.mapreduce.lib.output.MultipleOutputs$RecordWriterWithCounter.close(MultipleOutputs.java:375)
    at org.apache.hadoop.mapreduce.lib.output.MultipleOutputs.close(MultipleOutputs.java:574)

---

在我的例子中，解决方案是将

orc.rows.between.memory.checks

（或

spark.hadoop.orc.rows.between.memory.checks

）从

5000

（默认值）更改为

1

因为ORC writer似乎无法处理向条带中添加异常大的行

---

该值可能可以进一步调整，以实现更好的安全性能平衡。

您找到原因了吗？