使用hadoop-mapreduce-examples-2.7.7.jar时出错
[英]Error at using hadoop-mapreduce-examples-2.7.7.jar
问题描述
I have hadoop 
我有Hadoop
hadoop@nodo1:/opt/hadoop$ hadoop version Hadoop 2.7.7 Subversion Unknown -r c1aad84bd27cd79c3d1a7dd58202a8c3ee1ed3ac Compiled by stevel on 2018-07-18T22:47Z Compiled with protoc 2.5.0 From source with checksum 792e15d20b12c74bd6f19a1fb886490 This command was run using /opt/hadoop/share/hadoop/common/hadoop-common-2.7.7.jar
And as learned in a course, I use 正如在课程中所学到的
/opt/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.7.jar wordcount
But when i run this, the next error is shown: 但是当我运行它时，显示下一个错误：
hadoop@nodo1:/opt/hadoop$ hadoop jar /opt/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.7.jar wordcount /libros /output3
org.apache.hadoop.mapred.FileAlreadyExistsException: Output directory hdfs://nodo1:9000/output3 already exists at org.apache.hadoop.mapreduce.lib.output.FileOutputFormat.checkOutputSpecs(FileOutputFormat.java:146) at org.apache.hadoop.mapreduce.JobSubmitter.checkSpecs(JobSubmitter.java:266) at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:139) at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1290) at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1287) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:422) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1762) at org.apache.hadoop.mapreduce.Job.submit(Job.java:1287) at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java:1308) at org.apache.hadoop.examples.WordCount.main(WordCount.java:87) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(Native
In the path i have a book 在路上我有一本书
hadoop@nodo1:/opt/hadoop$ hdfs dfs -ls /libros/ Found 1 items -rw-r--r-- 1 hadoop supergroup 2198927 2018-11-02 10:22 /libros/quijote.txt
TNK from your help TNK在您的帮助下
1 个解决方案
解决方案1
1 2018-11-02 19:57:13
First do 先做
hdfs dfs -ls /output3
If there is a file then, 如果有文件，
Either Delete , Output directory hdfs://nodo1:9000/output3 or, 删除 ，输出目录hdfs://nodo1:9000/output3或
Use different file name 使用不同的文件名
# Change output3 to output4
hadoop jar /opt/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.7.jar wordcount /libros /output4
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