Can you provide a bit more information ?
Such as the release of hadoop you're running.
BTW did you use 'ps' command to see the command line for 4383 ?
Cheers
On Sun, May 25, 2014 at 7:30 AM, dwld0...@gmail.com wrote:
> Hi
> *Once running mapreduce, it will appear an unavailable process.*
> *Ea
HiIt is CDH5.0.0, Hadoop 2.3.0,
I found the unavailable process disappeared this morning.but it appears again
on the Map and Reduce server after running mapreduce
#jps15371 Jps
2269 QuorumPeerMain
15306 -- process information unavailable
11295 DataNode
11455 NodeManager
#ps -ef|grep j
: Re: Re: running mapreduce
HiIt is CDH5.0.0, Hadoop 2.3.0,
I found the unavailable process disappeared this morning.but it appears again
on the Map and Reduce server after running mapreduce
#jps15371 Jps
2269 QuorumPeerMain
15306 -- process information unavailable
11295 DataNode
11455
Take a look at Apache Oozie
Artem Ervits
On Feb 21, 2015 6:35 AM, "tesm...@gmail.com" wrote:
> Hi,
>
> Is it possible to run jobs on Hadoop in batch mode?
>
> I have 5 different datasets in HDFS and need to run the same MapReduce
> application on these datasets sets one after the other.
>
> Righ
It not possible write to S3 if use context.write(), but it possible when
you open a s3 file in reducer and write. Create output stream to a S3 file
in reducer *setup() *method like
FSDataOutputStream fsStream = FileSystem.create(to s3);
PrintWriter writer = new PrintWriter(fsStream);
wri