Windows MapReduce应用报错：Mkdirs failed to create C:\Users\...\Temp\hadoop-unjarxxx\META-INF\license问题

最新推荐文章于 2022-09-22 05:30:00 发布

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本文介绍了解决在Windows系统下运行HadoopMapReduce应用时遇到的IOException错误的方法。通过修改pom.xml文件中的配置，排除了特定的META-INF文件，避免了创建临时目录失败的问题。

问题：

在Windows系统下运行Hadoop MapReduce应用报错如下：

E:\EclipsePro\ssm\aa>hadoop jar target\aa-0.0.1-SNAPSHOT.jar /1.txt /out5
Exception in thread "main" java.io.IOException: Mkdirs failed to create C:\Users\ADMINI~1\AppData\Local\Temp\hadoop-unjar3611278334038571997\META-INF\license
        at org.apache.hadoop.util.RunJar.ensureDirectory(RunJar.java:128)
        at org.apache.hadoop.util.RunJar.unJar(RunJar.java:104)
        at org.apache.hadoop.util.RunJar.unJar(RunJar.java:81)
        at org.apache.hadoop.util.RunJar.run(RunJar.java:209)
        at org.apache.hadoop.util.RunJar.main(RunJar.java:136)

aa-0.0.1-SNAPSHOT.jar为自己编写并打包得到的MapReduce WordCount应用程序，参考：MapReduce WordCount应用。

解决办法：

修改pom.xml文件

在<configuration>和</configuration>之间添加

            <filters>
              <filter>
                <artifact>*:*</artifact>
                <excludes>
                  <exclude>META-INF/*.SF</exclude>
                  <exclude>META-INF/*.DSA</exclude>
                  <exclude>META-INF/*.RSA</exclude>
                  <exclude>META-INF/LICENSE*</exclude>
                  <exclude>license/*</exclude>
                </excludes>
              </filter>
            </filters>

修改后效果截图如下：

重新打包程序

mvn clean package

再次运行jar，成功如下：

E:\EclipsePro\ssm\aa>hadoop jar target\aa-0.0.1-SNAPSHOT.jar /1.txt /o1
19/10/20 23:39:14 INFO client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8032
19/10/20 23:39:15 WARN mapreduce.JobResourceUploader: Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
19/10/20 23:39:16 INFO input.FileInputFormat: Total input paths to process : 1
19/10/20 23:39:17 INFO mapreduce.JobSubmitter: number of splits:1
19/10/20 23:39:17 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_1571582539006_0002
19/10/20 23:39:17 INFO impl.YarnClientImpl: Submitted application application_1571582539006_0002
19/10/20 23:39:17 INFO mapreduce.Job: The url to track the job: http://DESKTOP-EULLDM0:8088/proxy/application_1571582539006_0002/
19/10/20 23:39:17 INFO mapreduce.Job: Running job: job_1571582539006_0002
19/10/20 23:39:35 INFO mapreduce.Job: Job job_1571582539006_0002 running in uber mode : false
19/10/20 23:39:35 INFO mapreduce.Job:  map 0% reduce 0%
19/10/20 23:39:40 INFO mapreduce.Job:  map 100% reduce 0%
19/10/20 23:39:46 INFO mapreduce.Job:  map 100% reduce 100%
19/10/20 23:39:56 INFO mapreduce.Job: Job job_1571582539006_0002 completed successfully
19/10/20 23:39:56 INFO mapreduce.Job: Counters: 49
        File System Counters
                FILE: Number of bytes read=55
                FILE: Number of bytes written=238911
                FILE: Number of read operations=0
                FILE: Number of large read operations=0
                FILE: Number of write operations=0
                HDFS: Number of bytes read=117
                HDFS: Number of bytes written=25
                HDFS: Number of read operations=6
                HDFS: Number of large read operations=0
                HDFS: Number of write operations=2
        Job Counters
                Launched map tasks=1
                Launched reduce tasks=1
                Data-local map tasks=1
                Total time spent by all maps in occupied slots (ms)=2658
                Total time spent by all reduces in occupied slots (ms)=3281
                Total time spent by all map tasks (ms)=2658
                Total time spent by all reduce tasks (ms)=3281
                Total vcore-milliseconds taken by all map tasks=2658
                Total vcore-milliseconds taken by all reduce tasks=3281
                Total megabyte-milliseconds taken by all map tasks=2721792
                Total megabyte-milliseconds taken by all reduce tasks=3359744
        Map-Reduce Framework
                Map input records=2
                Map output records=4
                Map output bytes=41
                Map output materialized bytes=55
                Input split bytes=92
                Combine input records=0
                Combine output records=0
                Reduce input groups=3
                Reduce shuffle bytes=55
                Reduce input records=4
                Reduce output records=3
                Spilled Records=8
                Shuffled Maps =1
                Failed Shuffles=0
                Merged Map outputs=1
                GC time elapsed (ms)=68
                CPU time spent (ms)=1403
                Physical memory (bytes) snapshot=435302400
                Virtual memory (bytes) snapshot=592404480
                Total committed heap usage (bytes)=295174144
        Shuffle Errors
                BAD_ID=0
                CONNECTION=0
                IO_ERROR=0
                WRONG_LENGTH=0
                WRONG_MAP=0
                WRONG_REDUCE=0
        File Input Format Counters
                Bytes Read=25
        File Output Format Counters
                Bytes Written=25

参考：https://stackoverflow.com/questions/10522835/hadoop-java-io-ioexception-mkdirs-failed-to-create-some-path

完成！ enjoy it！