java.io.IOException: Error opening job jar: hadoop-0.20.2-examples.jar
今天在執行hadoop自帶例子測試的時候
$ bin/hadoop jar hadoop-0.20.1-examples.jar wordcount input output
Exception in thread "m
ain" java.io.IOException: Error opening job jar: hadoop-0.20.2-examples.jar
at org.apache.hadoop.util.RunJar.main(RunJar.java:90)
Caused by: java.util.zip.ZipException: error in opening zip file
at java.util.zip.ZipFile.open(Native Method)
at java.util.zip.ZipFile.
at java.util.jar.JarFile.
at java.util.jar.JarFile.
at org.apache.hadoop.util.RunJar.main(RunJar.java:88)
解決辦法：
bin/hadoop dfs -rmr input
bin/hadoop dfs -put conf input
$ bin/hadoop jar hadoop-*-examples.jar grep input output 'dfs[a-z.]+'
11/01/18 19:21:40 INFO mapred.FileInputFormat: Total input paths to process : 13
11/01/18 19:21:40 INFO mapred.JobClient: Running job: job_201101181725_0011
11/01/18 19:21:41 INFO mapred.JobClient: map 0% reduce 0%
11/01/18 19:21:49 INFO mapred.JobClient: map 15% reduce 0%
11/01/18 19:21:50 INFO mapred.JobClient: map 30% reduce 0%
11/01/18 19:21:52 INFO mapred.JobClient: map 46% reduce 0%
11/01/18 19:21:53 INFO mapred.JobClient: map 61% reduce 0%
11/01/18 19:21:55 INFO mapred.JobClient: map 76% reduce 0%
11/01/18 19:21:56 INFO mapred.JobClient: map 92% reduce 0%
11/01/18 19:21:58 INFO mapred.JobClient: map 100% reduce 30%
11/01/18 19:22:07 INFO mapred.JobClient: map 100% reduce 100%
11/01/18 19:22:09 INFO mapred.JobClient: Job complete: job_201101181725_0011
11/01/18 19:22:09 INFO mapred.JobClient: Counters: 18
11/01/18 19:22:09 INFO mapred.JobClient: Job Counters
11/01/18 19:22:09 INFO mapred.JobClient: Launched reduce tasks=1
11/01/18 19:22:09 INFO mapred.JobClient: Launched map tasks=13
11/01/18 19:22:09 INFO mapred.JobClient: Data-local map tasks=13
11/01/18 19:22:09 INFO mapred.JobClient: FileSystemCounters
11/01/18 19:22:09 INFO mapred.JobClient: FILE_BYTES_READ=132
11/01/18 19:22:09 INFO mapred.JobClient: HDFS_BYTES_READ=17950
11/01/18 19:22:09 INFO mapred.JobClient: FILE_BYTES_WRITTEN=752
11/01/18 19:22:09 INFO mapred.JobClient: HDFS_BYTES_WRITTEN=248
11/01/18 19:22:09 INFO mapred.JobClient: Map-Reduce Framework
11/01/18 19:22:09 INFO mapred.JobClient: Reduce input groups=6
11/01/18 19:22:09 INFO mapred.JobClient: Combine output records=6
11/01/18 19:22:09 INFO mapred.JobClient: Map input records=545
11/01/18 19:22:09 INFO mapred.JobClient: Reduce shuffle bytes=198
11/01/18 19:22:09 INFO mapred.JobClient: Reduce output records=6
11/01/18 19:22:09 INFO mapred.JobClient: Spilled Records=12
11/01/18 19:22:09 INFO mapred.JobClient: Map output bytes=169
11/01/18 19:22:09 INFO mapred.JobClient: Map input bytes=17950
11/01/18 19:22:09 INFO mapred.JobClient: Combine input records=9
11/01/18 19:22:09 INFO mapred.JobClient: Map output records=9
11/01/18 19:22:09 INFO mapred.JobClient: Reduce input records=6
11/01/18 19:22:09 WARN mapred.JobClient: Use GenericOptionsParser for parsing the arguments. Applications should implement Tool for the same.
11/01/18 19:22:09 INFO mapred.FileInputFormat: Total input paths to process : 1
11/01/18 19:22:10 INFO mapred.JobClient: Running job: job_201101181725_0012
11/01/18 19:22:11 INFO mapred.JobClient: map 0% reduce 0%
11/01/18 19:22:20 INFO mapred.JobClient: map 100% reduce 0%
11/01/18 19:22:32 INFO mapred.JobClient: map 100% reduce 100%
11/01/18 19:22:34 INFO mapred.JobClient: Job complete: job_201101181725_0012
11/01/18 19:22:34 INFO mapred.JobClient: Counters: 18
11/01/18 19:22:34 INFO mapred.JobClient: Job Counters
11/01/18 19:22:34 INFO mapred.JobClient: Launched reduce tasks=1
11/01/18 19:22:34 INFO mapred.JobClient: Launched map tasks=1
11/01/18 19:22:34 INFO mapred.JobClient: Data-local map tasks=1
11/01/18 19:22:34 INFO mapred.JobClient: FileSystemCounters
11/01/18 19:22:34 INFO mapred.JobClient: FILE_BYTES_READ=132
11/01/18 19:22:34 INFO mapred.JobClient: HDFS_BYTES_READ=248
11/01/18 19:22:34 INFO mapred.JobClient: FILE_BYTES_WRITTEN=296
11/01/18 19:22:34 INFO mapred.JobClient: HDFS_BYTES_WRITTEN=78
11/01/18 19:22:34 INFO mapred.JobClient: Map-Reduce Framework
11/01/18 19:22:34 INFO mapred.JobClient: Reduce input groups=3
11/01/18 19:22:34 INFO mapred.JobClient: Combine output records=0
11/01/18 19:22:34 INFO mapred.JobClient: Map input records=6
11/01/18 19:22:34 INFO mapred.JobClient: Reduce shuffle bytes=132
11/01/18 19:22:34 INFO mapred.JobClient: Reduce output records=6
11/01/18 19:22:34 INFO mapred.JobClient: Spilled Records=12
11/01/18 19:22:34 INFO mapred.JobClient: Map output bytes=114
11/01/18 19:22:34 INFO mapred.JobClient: Map input bytes=162
11/01/18 19:22:34 INFO mapred.JobClient: Combine input records=0
11/01/18 19:22:34 INFO mapred.JobClient: Map output records=6
11/01/18 19:22:34 INFO mapred.JobClient: Reduce input records=6
來自 “ ITPUB部落格 ” ，連結：http://blog.itpub.net/8183550/viewspace-684154/，如需轉載，請註明出處，否則將追究法律責任。
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