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如何使用 Hadoop Python 流在超表中插入多个值？我可以为单列插入值，但不能超过一列。在我尝试时，出现以下异常：

java.lang.RuntimeException: java.io.IOException: Unable to write cell - java.lang.Exception: incorrect output line format only 1 tabs
    at org.apache.hadoop.streaming.PipeMapRed.waitOutputThreads(PipeMapRed.java:325)
    at org.apache.hadoop.streaming.PipeMapRed.mapRedFinished(PipeMapRed.java:545)
    at org.apache.hadoop.streaming.PipeReducer.close(PipeReducer.java:137)
    at org.apache.hadoop.mapred.ReduceTask.runOldReducer(ReduceTask.java:528)
    at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:419)
    at org.apache.hadoop.mapred.Child$4.run(Child.java:259)
    at java.security.AccessController.doPrivileged(Native Method)
    at javax.security.auth.Subject.doAs(Subject.java:396)
    at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1059)
    at org.apache.hadoop.mapred.Child.main(Child.java:253)
Caused by: java.io.IOException: Unable to write cell - java.lang.Exception: incorrect output line format only 1 tabs
    at org.hypertable.hadoop.mapred.TextTableOutputFormat$HypertableRecordWriter.write(TextTableOutputFormat.java:247)
    at org.hypertable.hadoop.mapred.TextTableOutputFormat$HypertableRecordWriter.write(TextTableOutputFormat.java:69)
    at org.apache.hadoop.mapred.ReduceTask$OldTrackingRecordWriter.write(ReduceTask.java:456)
    at org.apache.hadoop.mapred.ReduceTask$3.collect(ReduceTask.java:496)
    at org.apache.hadoop.streaming.PipeMapRed$MROutputThread.run(PipeMapRed.java:381)

地图.py

import sys

for line in sys.stdin:
    print line

减少.py

import sys

for line in sys.stdin:
        txt= line.split('\t')
        print txt[0]+'\t'+txt[1]+'\t'+txt[2]

输入表单超表将是制表符分隔值，例如：“这是文本”。

输出表包含三列，我需要按制表符拆分输入文本并将其保存到超表中。Hypertable 输出列名cc, kw和oc.

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