hi,mailist:
i see yarn.app.mapreduce.am.staging-dir in doc ,and i
do not know it use for ,and i also want to know if the content in this dir
can be clean,
and if it can be set auto clean?
Great, Thanks.
Thanks and Regards
Prabakaran.N aka NP
nsn, Bangalore
When "I" is replaced by "We" - even Illness becomes "Wellness"
From: ext John Lilley [mailto:john.lil...@redpoint.net]
Sent: Friday, June 13, 2014 3:34 AM
To: user@hadoop.apache.org
Subject: RE: Hadoop SAN Storage reuse
Hadoo
Is there a good resource that draws similarity and compares Yarn's resource
manager, application manager etc. with job tracker, task tracker etc.?
Hello,
Apache Hadoop 0.20.203.0
A colleague is using a SPARK shell on a remote host using HDFS protocol
attempting to run a job
on our Hadoop cluster, but the job errors out before finishing with the
following noted in the namenode log.
2014-06-11 16:13:24,958 WARN
org.apache.hadoop.se
Hi,
I would like to monitor the average execution time of mappers and reducers
or something better to check the hadoop throughput.
I configured the hadoop metrics2 as follows:
*.sink.ganglia.period=10
*.sink.ganglia.supportsparse=true
*.sink.ganglia.servers=GANGLIA_SERVER_IP:8649
mrappmaster.sin
Hadoop performs best when each node has exclusive use of its disk. Therefore,
if you have a choice, try to provision exclusive use of individual spindles on
your SAN and map each one to a separate mount on your Hadoop nodes. Anything
other than that will tend to produce poor performance due to
Thanks Tomas, but this can't help me now : )
Now i try change my mvn local repo via
export MAVEN_OPTS="-Dmaven.repo.local=`pwd`/../.m2"
mvn clean package -DskipTests produce new error:
[INFO] BUILD FAILURE
[INFO]
[INFO] To
Hi,
If you are able to read Spanish, in
https://bitacoras.citius.usc.es/tecnologia/2014/06/05/hadoop-para-64-bits/
it's described step by step how to compile Hadoop 2.4 in a CentOS 6.5 64
bits.
Cheers
Tomas
En 12/06/14 18:37, Lukas Drbal escribiu:
> Hi all,
>
> i have a problem with build hado
Hi Ted,
clean and package ending with same error.
One of them:
[ERROR]
/home/lestr/data/sbks-deps/hadoop2.2/hadoop-2.2.0-src/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/test/java/org/apache/hadoop/yarn/server/nodemanager/webapp/TestNMWebServicesContainers
You may need to add the 'install' target the first time you build (and
every time you build clean thereafter).
Your 'java -version' and 'mvn -version' report different versions of Java.
Check your JAVA_HOME.
On Thu, Jun 12, 2014 at 9:49 AM, Ted Yu wrote:
> Can you run the following command
Can you run the following command first ?
mvn clean package -DskipTests
Here is the version of maven I use:
mvn -version
Apache Maven 3.1.1 (0728685237757ffbf44136acec0402957f723d9a; 2013-09-17
15:22:22+)
Cheers
On Thu, Jun 12, 2014 at 9:37 AM, Lukas Drbal
wrote:
> Hi all,
>
> i have a
Hi all,
i have a problem with build hadoop from source code. I take git from
https://github.com/apache/hadoop-common and branch-2.2.1 and try
mvn package -Pdist,native -DskipTests -Dtar but it return a lot errors.
Here is log from mvn https://gist.github.com/anonymous/052b6d45f64be01dab43
My en
DA,
We are trying to write a UDF to read an XML which contains some unbounded
tags.
For repeated tags, new row has to be generated.
Please let us know how to ovewrite the default key with the new key in the
Record Reader function (where we do for loop to make multiple rows).
*Sample XML:*
yes rectified that error
But after 1 st iteration when it enters to second iteration
showing
java.io.FileNotFoundException: for *Path out1 = new Path(CL);*
*Why is it so .*
*Normally that should be in this way only the o/p folder should not exist*
* //other configuration*
* job1.setMapperCl
I believe they are normalized to be multiples of
yarn.scheduler.increment-allocation-mb.
yarn.scheduler.minimum-allocation-mb can be set to as low as zero. Llama
does this.
As to why normalization, I think it is to make sure there is no external
fragmentation. It is similar to why memory is paged.
Hi Manoj
Firstly, one can choose to leave that config alone. If not set, the ACLs
are automatically generated such that all RMs have shared admin access but
exclusive create-delete access. For the exclusive create-delete access, the
RMs use username:password where the username is
yarn.resourcemana
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