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From ei09072 <ei09...@fe.up.pt>
Subject Re: Hadoop 2.3.0 API error
Date Thu, 03 Apr 2014 09:01:36 GMT
Just trying to read a txt file with 3 simple words on it.





On 03.04.2014 02:15, Shumin Guo wrote:
> what is your input data like?
> On Apr 2, 2014 10:16 AM, "ei09072" <ei09072@fe.up.pt [8]> wrote:
>
>> After installing Hadoop 2.3.0 on windows 8, I tried to run the
>> wordcount example given. However I get the following error:
>>
>> c:hadoop>binyarn jar
>> share/hadoop/mapreduce/hadoop-mapreduce-examples-2.3.0.ja
>> r wordcount /input output
>> 14/03/26 14:20:48 INFO client.RMProxy: Connecting to
>> ResourceManager at /0.0.0.0 [1]
>> :8032
>> 14/03/26 14:20:50 INFO input.FileInputFormat: Total input paths to
>> process : 1
>> 14/03/26 14:20:51 INFO mapreduce.JobSubmitter: number of splits:1
>> 14/03/26 14:20:51 INFO Configuration.deprecation: user.name [2] is
>> deprecated. Inste
>> ad, use mapreduce.job.user.name [3]
>> 14/03/26 14:20:51 INFO Configuration.deprecation: mapred.jar is
>> deprecated. Inst
>> ead, use mapreduce.job.jar
>> 14/03/26 14:20:51 INFO Configuration.deprecation:
>> mapred.output.value.class is d
>> eprecated. Instead, use mapreduce.job.output.value.class
>> 14/03/26 14:20:51 INFO Configuration.deprecation:
>> mapreduce.combine.class is dep
>> recated. Instead, use mapreduce.job.combine.class
>> 14/03/26 14:20:51 INFO Configuration.deprecation:
>> mapreduce.map.class is depreca
>> ted. Instead, use mapreduce.job.map.class
>> 14/03/26 14:20:51 INFO Configuration.deprecation: mapred.job.name
>> [4] is deprecated.
>>  Instead, use mapreduce.job.name [5]
>> 14/03/26 14:20:51 INFO Configuration.deprecation:
>> mapreduce.reduce.class is depr
>> ecated. Instead, use mapreduce.job.reduce.class
>> 14/03/26 14:20:51 INFO Configuration.deprecation: mapred.input.dir
>> is deprecated
>> . Instead, use mapreduce.input.fileinputformat.inputdir
>> 14/03/26 14:20:51 INFO Configuration.deprecation: mapred.output.dir
>> is deprecate
>> d. Instead, use mapreduce.output.fileoutputformat.outputdir
>> 14/03/26 14:20:51 INFO Configuration.deprecation: mapred.map.tasks
>> is deprecated
>> . Instead, use mapreduce.job.maps
>> 14/03/26 14:20:51 INFO Configuration.deprecation:
>> mapred.output.key.class is dep
>> recated. Instead, use mapreduce.job.output.key.class
>> 14/03/26 14:20:51 INFO Configuration.deprecation:
>> mapred.working.dir is deprecat
>> ed. Instead, use mapreduce.job.working.dir
>> 14/03/26 14:20:51 INFO mapreduce.JobSubmitter: Submitting tokens
>> for job: job_13
>> 95833928952_0004
>> 14/03/26 14:20:52 INFO impl.YarnClientImpl: Submitted application
>> application_13
>> 95833928952_0004 to ResourceManager at /0.0.0.0:8032 [6]
>> 14/03/26 14:20:52 INFO mapreduce.Job: The url to track the job:
>> http://teste:8088/proxy/application_1395833928952_0004/ [7]
>> 14/03/26 14:20:52 INFO mapreduce.Job: Running job:
>> job_1395833928952_0004
>> 14/03/26 14:21:08 INFO mapreduce.Job: Job job_1395833928952_0004
>> running in uber
>>  mode : false
>> 14/03/26 14:21:08 INFO mapreduce.Job:  map 0% reduce 0%
>> 14/03/26 14:21:20 INFO mapreduce.Job: Task Id :
>> attempt_1395833928952_0004_m_000
>> 000_0, Status : FAILED
>> Error: java.lang.ClassCastException:
>> org.apache.hadoop.mapreduce.lib.input.FileS
>> plit cannot be cast to org.apache.hadoop.mapred.InputSplit
>>         at
>> org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:402)
>>         at
>> org.apache.hadoop.mapred.MapTask.run(MapTask.java:341)
>>         at
>> org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:162)
>>         at java.security.AccessController.doPrivileged(Native
>> Method)
>>         at javax.security.auth.Subject.doAs(Subject.java:415)
>>         at
>>
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInforma
>> tion.java:1491)
>>         at
>> org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:157)
>> 14/03/26 14:21:33 INFO mapreduce.Job: Task Id :
>> attempt_1395833928952_0004_m_000
>> 000_1, Status : FAILED
>> Error: java.lang.ClassCastException:
>> org.apache.hadoop.mapreduce.lib.input.FileS
>> plit cannot be cast to org.apache.hadoop.mapred.InputSplit
>>         at
>> org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:402)
>>         at
>> org.apache.hadoop.mapred.MapTask.run(MapTask.java:341)
>>         at
>> org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:162)
>>         at java.security.AccessController.doPrivileged(Native
>> Method)
>>         at javax.security.auth.Subject.doAs(Subject.java:415)
>>         at
>>
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInforma
>> tion.java:1491)
>>         at
>> org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:157)
>> 14/03/26 14:21:48 INFO mapreduce.Job: Task Id :
>> attempt_1395833928952_0004_m_000
>> 000_2, Status : FAILED
>> Error: java.lang.ClassCastException:
>> org.apache.hadoop.mapreduce.lib.input.FileS
>> plit cannot be cast to org.apache.hadoop.mapred.InputSplit
>>         at
>> org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:402)
>>         at
>> org.apache.hadoop.mapred.MapTask.run(MapTask.java:341)
>>         at
>> org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:162)
>>         at java.security.AccessController.doPrivileged(Native
>> Method)
>>         at javax.security.auth.Subject.doAs(Subject.java:415)
>>         at
>>
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInforma
>> tion.java:1491)
>>         at
>> org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:157)
>> 14/03/26 14:22:04 INFO mapreduce.Job:  map 100% reduce 100%
>> 14/03/26 14:22:10 INFO mapreduce.Job: Job job_1395833928952_0004
>> failed with sta
>> te FAILED due to: Task failed task_1395833928952_0004_m_000000
>> Job failed as tasks failed. failedMaps:1 failedReduces:0
>> 14/03/26 14:22:10 INFO mapreduce.Job: Counters: 6
>>         Job Counters
>>                 Failed map tasks=4
>>                 Launched map tasks=4
>>                 Other local map tasks=3
>>                 Data-local map tasks=1
>>                 Total time spent by all maps in occupied
>> slots (ms)=48786
>>                 Total time spent by all reduces in occupied
>> slots (ms)=0
>>
>> I then tried to run my own wordcount with the current api and the
>> same error occurs, I also tried installing Hadoop 2.2.0 and yet the
>> same error happens, so I have no idea why this API error occurs. I
>> have seen this error mentioned in several places but with no
>> solution given so I decided to come here to ask since I am out of
>> ideas on how to solve it.
>
>
> Links:
> ------
> [1] http://0.0.0.0
> [2] http://user.name
> [3] http://mapreduce.job.user.name
> [4] http://mapred.job.name
> [5] http://mapreduce.job.name
> [6] http://0.0.0.0:8032
> [7] http://teste:8088/proxy/application_1395833928952_0004/
> [8] mailto:ei09072@fe.up.pt


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