我的映射器的组织方式如下:
#!/usr/bin/python
import os
import sys
for line in sys.stdin:
filename = os.environ["map_input_file"]
print(filename)
我只是想在映射器中获取文件名,但是map_input_file定义了以下错误:
"File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/UserDict.py", line 23, in __getitem__
raise KeyError(key)
KeyError: 'map_input_file'"
当我尝试不同的操作时,我对可能是什么问题感到困惑,
try:
filename = os.environ["mapreduce.map.input.file"]
except KeyError:
filename = os.environ["map.input.file"]
或
try:
filename = os.environ["mapreduce_map_input_file"]
except KeyError:
filename = os.environ["map_input_file"]
它总是引发KeyError
并且不能导入文件名。
任何有关如何在映射器中获取文件名的解决方案将不胜感激。
有关信息,我正在使用cat text.txt在本地运行此代码。 mapper.py管道。我的最终目标是在群集上运行它也不起作用,可能是由于相同的错误。
答案 0 :(得分:0)
@Ilko实际上,尝试在群集上运行它会给我以下错误:
INFO mapreduce.Job: Task Id : attempt_1550240953895_0001_m_000005_2, Status : FAILED
Error: java.lang.RuntimeException: PipeMapRed.waitOutputThreads(): subprocess failed with code 1
at org.apache.hadoop.streaming.PipeMapRed.waitOutputThreads(PipeMapRed.java:325)
at org.apache.hadoop.streaming.PipeMapRed.mapRedFinished(PipeMapRed.java:538)
at org.apache.hadoop.streaming.PipeMapper.close(PipeMapper.java:130)
at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:61)
at org.apache.hadoop.streaming.PipeMapRunner.run(PipeMapRunner.java:34)
at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:455)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:344)
at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:175)
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:1844)
at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:169)
19/02/15 14:41:47 INFO mapreduce.Job: map 6% reduce 0%
19/02/15 14:41:48 INFO mapreduce.Job: map 100% reduce 100%
19/02/15 14:41:49 INFO mapreduce.Job: Job job_1550240953895_0001 failed with state FAILED due to: Task failed task_1550240953895_0001_m_000008
Job failed as tasks failed. failedMaps:1 failedReduces:0
对于像我这样没有经验的人真的没有帮助吗