如何使用hadooppython流媒体在超表中插入多个值?我可以为单个列插入值,但不能插入多个列。在我尝试的时候,我得到了以下例外:
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)
在地图.py在
^{pr2}$在减少.py在
import sys
for line in sys.stdin:
txt= line.split('\t')
print txt[0]+'\t'+txt[1]+'\t'+txt[2]
输入表单超表格将以制表符分隔的值, 例:“这是文本”。在
输出表包含三列,我需要将输入的文本按制表符拆分并保存到超级标签中。
超表输出列名cc
、kw
和{
目前没有回答
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