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From Harsh J <ha...@cloudera.com>
Subject Re: Insight on why distcp becomes slower when adding nodemanager
Date Mon, 29 Oct 2012 16:30:28 GMT
On your second low-memory NM instance, did you ensure to lower the
yarn.nodemanager.resource.memory-mb property specifically to avoid
swapping due to excessive resource grants? The default offered is 8 GB
(>> 1.7 GB you have).

On Mon, Oct 29, 2012 at 8:42 PM, Alexandre Fouche
<alexandre.fouche@cleverscale.com> wrote:
> Hi,
>
> Can someone give some insight on why a "distcp" of 600 files of a few
> hundred bytes from s3n:// to local hdfs is taking 46s when using a
> yarn-nodemanager EC2 instance with 16GB memory (which by the way i think is
> jokingly long), and taking 3mn30s when adding a second yarn-nodemanager (a
> small instance with 1.7GB memory) ?
> I would have expected it to be a bit faster, not 5xlonger !
>
> I have the same issue when i stop the small instance nodemanager and restart
> it to join the processing after the big nodemanager instance was already
> submitted the job.
>
> I am using Cloudera latest Yarn+HDFS on Amazon (rebranded Centos 6)
>
>     #Staging 14:58:04 root@datanode2:hadoop-yarn: rpm -qa |grep hadoop
>     hadoop-hdfs-datanode-2.0.0+545-1.cdh4.1.1.p0.5.el6.x86_64
>     hadoop-mapreduce-2.0.0+545-1.cdh4.1.1.p0.5.el6.x86_64
>     hadoop-0.20-mapreduce-0.20.2+1261-1.cdh4.1.1.p0.4.el6.x86_64
>     hadoop-yarn-nodemanager-2.0.0+545-1.cdh4.1.1.p0.5.el6.x86_64
>     hadoop-mapreduce-historyserver-2.0.0+545-1.cdh4.1.1.p0.5.el6.x86_64
>     hadoop-hdfs-2.0.0+545-1.cdh4.1.1.p0.5.el6.x86_64
>     hadoop-client-2.0.0+545-1.cdh4.1.1.p0.5.el6.x86_64
>     hadoop-2.0.0+545-1.cdh4.1.1.p0.5.el6.x86_64
>     hadoop-yarn-2.0.0+545-1.cdh4.1.1.p0.5.el6.x86_64
>
>
>     #Staging 14:39:51 root@resourcemanager:hadoop-yarn:
> HADOOP_MAPRED_HOME=/usr/lib/hadoop-mapreduce time hadoop distcp -overwrite
> s3n://xxx:xxx@s3n.hadoop.cwsdev/* hdfs:///tmp/something/a
>
>     12/10/29 14:40:12 INFO tools.DistCp: Input Options:
> DistCpOptions{atomicCommit=false, syncFolder=false, deleteMissing=false,
> ignoreFailures=false, maxMaps=20, sslConfigurationFile='null',
> copyStrategy='uniformsize', sourceFileListing=null,
> sourcePaths=[s3n://xxx:xxx@s3n.hadoop.cwsdev/*],
> targetPath=hdfs:/tmp/something/a}
>     12/10/29 14:40:18 WARN conf.Configuration: io.sort.mb is deprecated.
> Instead, use mapreduce.task.io.sort.mb
>     12/10/29 14:40:18 WARN conf.Configuration: io.sort.factor is deprecated.
> Instead, use mapreduce.task.io.sort.factor
>     12/10/29 14:40:19 INFO mapreduce.JobSubmitter: number of splits:15
>     12/10/29 14:40:19 WARN conf.Configuration: mapred.jar is deprecated.
> Instead, use mapreduce.job.jar
>     12/10/29 14:40:19 WARN conf.Configuration:
> mapred.map.tasks.speculative.execution is deprecated. Instead, use
> mapreduce.map.speculative
>     12/10/29 14:40:19 WARN conf.Configuration: mapred.reduce.tasks is
> deprecated. Instead, use mapreduce.job.reduces
>     12/10/29 14:40:19 WARN conf.Configuration: mapred.mapoutput.value.class
> is deprecated. Instead, use mapreduce.map.output.value.class
>     12/10/29 14:40:19 WARN conf.Configuration: mapreduce.map.class is
> deprecated. Instead, use mapreduce.job.map.class
>     12/10/29 14:40:19 WARN conf.Configuration: mapred.job.name is
> deprecated. Instead, use mapreduce.job.name
>     12/10/29 14:40:19 WARN conf.Configuration: mapreduce.inputformat.class
> is deprecated. Instead, use mapreduce.job.inputformat.class
>     12/10/29 14:40:19 WARN conf.Configuration: mapred.output.dir is
> deprecated. Instead, use mapreduce.output.fileoutputformat.outputdir
>     12/10/29 14:40:19 WARN conf.Configuration: mapreduce.outputformat.class
> is deprecated. Instead, use mapreduce.job.outputformat.class
>     12/10/29 14:40:19 WARN conf.Configuration: mapred.map.tasks is
> deprecated. Instead, use mapreduce.job.maps
>     12/10/29 14:40:19 WARN conf.Configuration: mapred.mapoutput.key.class is
> deprecated. Instead, use mapreduce.map.output.key.class
>     12/10/29 14:40:19 WARN conf.Configuration: mapred.working.dir is
> deprecated. Instead, use mapreduce.job.working.dir
>     12/10/29 14:40:20 INFO mapred.ResourceMgrDelegate: Submitted application
> application_1351504801306_0015 to ResourceManager at
> resourcemanager.cwsdev.cleverscale.com/10.60.106.130:8032
>     12/10/29 14:40:20 INFO mapreduce.Job: The url to track the job:
> http://ip-10-60-106-130.ec2.internal:8088/proxy/application_1351504801306_0015/
>     12/10/29 14:40:20 INFO tools.DistCp: DistCp job-id:
> job_1351504801306_0015
>     12/10/29 14:40:20 INFO mapreduce.Job: Running job:
> job_1351504801306_0015
>     12/10/29 14:40:27 INFO mapreduce.Job: Job job_1351504801306_0015 running
> in uber mode : false
>     12/10/29 14:40:27 INFO mapreduce.Job:  map 0% reduce 0%
>     12/10/29 14:40:42 INFO mapreduce.Job:  map 6% reduce 0%
>     12/10/29 14:40:43 INFO mapreduce.Job:  map 33% reduce 0%
>     12/10/29 14:40:44 INFO mapreduce.Job:  map 40% reduce 0%
>     12/10/29 14:40:48 INFO mapreduce.Job:  map 46% reduce 0%
>     12/10/29 14:43:04 INFO mapreduce.Job:  map 56% reduce 0%
>     12/10/29 14:43:05 INFO mapreduce.Job:  map 58% reduce 0%
>     12/10/29 14:43:08 INFO mapreduce.Job:  map 62% reduce 0%
>     12/10/29 14:43:09 INFO mapreduce.Job:  map 68% reduce 0%
>     12/10/29 14:43:15 INFO mapreduce.Job:  map 75% reduce 0%
>     12/10/29 14:43:16 INFO mapreduce.Job:  map 82% reduce 0%
>     12/10/29 14:43:25 INFO mapreduce.Job:  map 85% reduce 0%
>     12/10/29 14:43:26 INFO mapreduce.Job:  map 87% reduce 0%
>     12/10/29 14:43:29 INFO mapreduce.Job:  map 90% reduce 0%
>     12/10/29 14:43:35 INFO mapreduce.Job:  map 93% reduce 0%
>     12/10/29 14:43:37 INFO mapreduce.Job:  map 96% reduce 0%
>     12/10/29 14:43:40 INFO mapreduce.Job:  map 100% reduce 0%
>     12/10/29 14:43:40 INFO mapreduce.Job: Job job_1351504801306_0015
> completed successfully
>     12/10/29 14:43:40 INFO mapreduce.Job: Counters: 35
>         File System Counters
>             FILE: Number of bytes read=1800
>             FILE: Number of bytes written=1050895
>             FILE: Number of read operations=0
>             FILE: Number of large read operations=0
>             FILE: Number of write operations=0
>             HDFS: Number of bytes read=22157
>             HDFS: Number of bytes written=101379
>             HDFS: Number of read operations=519
>             HDFS: Number of large read operations=0
>             HDFS: Number of write operations=201
>             S3N: Number of bytes read=101379
>             S3N: Number of bytes written=0
>             S3N: Number of read operations=0
>             S3N: Number of large read operations=0
>             S3N: Number of write operations=0
>         Job Counters
>             Launched map tasks=15
>             Other local map tasks=15
>             Total time spent by all maps in occupied slots (ms)=12531208
>             Total time spent by all reduces in occupied slots (ms)=0
>         Map-Reduce Framework
>             Map input records=57
>             Map output records=0
>             Input split bytes=2010
>             Spilled Records=0
>             Failed Shuffles=0
>             Merged Map outputs=0
>             GC time elapsed (ms)=42324
>             CPU time spent (ms)=54890
>             Physical memory (bytes) snapshot=2923872256
>             Virtual memory (bytes) snapshot=12526301184
>             Total committed heap usage (bytes)=1618280448
>         File Input Format Counters
>             Bytes Read=20147
>         File Output Format Counters
>             Bytes Written=0
>         org.apache.hadoop.tools.mapred.CopyMapper$Counter
>             BYTESCOPIED=101379
>             BYTESEXPECTED=101379
>             COPY=57
>
>     6.90user 0.59system 3:29.17elapsed 3%CPU (0avgtext+0avgdata
> 819392maxresident)k
>     0inputs+344outputs (0major+62847minor)pagefaults 0swaps
>
>
>
> --
> Alexandre Fouche



-- 
Harsh J

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