[
https://issues.apache.org/jira/browse/HADOOP-8651?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
jiafeng.zhang resolved HADOOP-8651.
-----------------------------------
Resolution: Invalid
> Error reading task output Server returned HTTP response code: 400 for URL:
> http://hadoop03:8080/tasklog?plaintext=true&attemptid=attempt_1344047400780_0002_m_000000_0&filter=stdout
> -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: HADOOP-8651
> URL: https://issues.apache.org/jira/browse/HADOOP-8651
> Project: Hadoop Common
> Issue Type: Bug
> Affects Versions: 0.23.1
> Environment: hadoop-0.23.1 JDK_1.6.0_31
> Centos-6.0
> Reporter: jiafeng.zhang
> Fix For: 0.23.1
>
>
> bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-0.23.1.jar
> teragen 1000000 /in_test
> 12/08/04 11:01:47 WARN conf.Configuration: fs.default.name is deprecated.
> Instead, use fs.defaultFS
> 12/08/04 11:01:47 WARN conf.Configuration: mapred.used.genericoptionsparser
> is deprecated. Instead, use mapreduce.client.genericoptionsparser.used
> 12/08/04 11:01:49 INFO terasort.TeraSort: Generating 1000000 using 2
> 12/08/04 11:01:50 INFO mapreduce.JobSubmitter: number of splits:2
> 12/08/04 11:01:52 INFO mapred.ResourceMgrDelegate: Submitted application
> application_1344047400780_0002 to ResourceManager at
> hadoop01/192.168.37.101:8032
> 12/08/04 11:01:52 INFO mapreduce.Job: The url to track the job:
> http://hadoop01:50030/proxy/application_1344047400780_0002/
> 12/08/04 11:01:52 INFO mapreduce.Job: Running job: job_1344047400780_0002
> 12/08/04 11:02:11 INFO mapreduce.Job: Job job_1344047400780_0002 running in
> uber mode : false
> 12/08/04 11:02:11 INFO mapreduce.Job: map 0% reduce 0%
> 12/08/04 11:02:19 INFO mapreduce.Job: Task Id :
> attempt_1344047400780_0002_m_000000_0, Status : FAILED
> 12/08/04 11:02:20 WARN mapreduce.Job: Error reading task output Server
> returned HTTP response code: 400 for URL:
> http://hadoop03:8080/tasklog?plaintext=true&attemptid=attempt_1344047400780_0002_m_000000_0&filter=stdout
> 12/08/04 11:02:20 WARN mapreduce.Job: Error reading task output Server
> returned HTTP response code: 400 for URL:
> http://hadoop03:8080/tasklog?plaintext=true&attemptid=attempt_1344047400780_0002_m_000000_0&filter=stderr
> 12/08/04 11:02:25 INFO mapreduce.Job: map 9% reduce 0%
> 12/08/04 11:02:30 INFO mapreduce.Job: map 13% reduce 0%
> 12/08/04 11:02:33 INFO mapreduce.Job: map 15% reduce 0%
> 12/08/04 11:02:40 INFO mapreduce.Job: map 17% reduce 0%
> 12/08/04 11:02:46 INFO mapreduce.Job: map 18% reduce 0%
> 12/08/04 11:02:52 INFO mapreduce.Job: map 25% reduce 0%
> 12/08/04 11:02:56 INFO mapreduce.Job: map 29% reduce 0%
> 12/08/04 11:03:01 INFO mapreduce.Job: map 31% reduce 0%
> 12/08/04 11:03:08 INFO mapreduce.Job: map 34% reduce 0%
> 12/08/04 11:03:11 INFO mapreduce.Job: map 38% reduce 0%
> 12/08/04 11:03:14 INFO mapreduce.Job: map 42% reduce 0%
> 12/08/04 11:03:15 INFO mapreduce.Job: map 46% reduce 0%
> 12/08/04 11:03:17 INFO mapreduce.Job: map 51% reduce 0%
> 12/08/04 11:03:18 INFO mapreduce.Job: map 55% reduce 0%
> 12/08/04 11:03:20 INFO mapreduce.Job: map 56% reduce 0%
> 12/08/04 11:03:24 INFO mapreduce.Job: map 58% reduce 0%
> 12/08/04 11:03:25 INFO mapreduce.Job: map 59% reduce 0%
> 12/08/04 11:03:26 INFO mapreduce.Job: map 62% reduce 0%
> 12/08/04 11:03:28 INFO mapreduce.Job: map 67% reduce 0%
> 12/08/04 11:03:29 INFO mapreduce.Job: map 71% reduce 0%
> 12/08/04 11:03:32 INFO mapreduce.Job: map 73% reduce 0%
> 12/08/04 11:03:33 INFO mapreduce.Job: map 74% reduce 0%
> 12/08/04 11:03:35 INFO mapreduce.Job: map 76% reduce 0%
> 12/08/04 11:03:36 INFO mapreduce.Job: map 78% reduce 0%
> 12/08/04 11:03:38 INFO mapreduce.Job: map 79% reduce 0%
> 12/08/04 11:03:39 INFO mapreduce.Job: map 81% reduce 0%
> 12/08/04 11:03:41 INFO mapreduce.Job: map 84% reduce 0%
> 12/08/04 11:03:44 INFO mapreduce.Job: map 87% reduce 0%
> 12/08/04 11:03:48 INFO mapreduce.Job: map 90% reduce 0%
> 12/08/04 11:03:51 INFO mapreduce.Job: map 100% reduce 0%
> 12/08/04 11:03:52 INFO mapreduce.Job: Job job_1344047400780_0002 completed
> successfully
> 12/08/04 11:03:52 INFO mapreduce.Job: Counters: 28
> File System Counters
> FILE: Number of bytes read=240
> FILE: Number of bytes written=118412
> FILE: Number of read operations=0
> FILE: Number of large read operations=0
> FILE: Number of write operations=0
> HDFS: Number of bytes read=167
> HDFS: Number of bytes written=100000000
> HDFS: Number of read operations=8
> HDFS: Number of large read operations=0
> HDFS: Number of write operations=4
> Job Counters
> Failed map tasks=1
> Launched map tasks=3
> Other local map tasks=3
> Total time spent by all maps in occupied slots (ms)=193607
> Map-Reduce Framework
> Map input records=1000000
> Map output records=1000000
> Input split bytes=167
> Spilled Records=0
> Failed Shuffles=0
> Merged Map outputs=0
> GC time elapsed (ms)=34470
> CPU time spent (ms)=9510
> Physical memory (bytes) snapshot=224739328
> Virtual memory (bytes) snapshot=3888279552
> Total committed heap usage (bytes)=63832064
> org.apache.hadoop.examples.terasort.TeraGen$Counters
> CHECKSUM=2148987642402270
> File Input Format Counters
> Bytes Read=0
> File Output Format Counters
> Bytes Written=100000000
--
This message is automatically generated by JIRA.
If you think it was sent incorrectly, please contact your JIRA administrators:
https://issues.apache.org/jira/secure/ContactAdministrators!default.jspa
For more information on JIRA, see: http://www.atlassian.com/software/jira
