;> > wrote:
>>
>>> i did the same tutorial, i think they only way is doing it outside
>>> hadoop.
>>> in the command line:
>>> cat folder/* | python mapper.py | sort | python reducer
>>>
>>>
>>> El Miércoles, 4 de octubr
>> i did the same tutorial, i think they only way is doing it outside
>> hadoop.
>> in the command line:
>> cat folder/* | python mapper.py | sort | python reducer
>>
>>
>> El Miércoles, 4 de octubre, 2017 16:20:31, Tanvir Rahman <
>> tanvir9982...@
and line:
> cat folder/* | python mapper.py | sort | python reducer
>
>
> El Miércoles, 4 de octubre, 2017 16:20:31, Tanvir Rahman <
> tanvir9982...@gmail.com> escribió:
>
>
> Hello,
> I have a small cluster and I am running MapReduce WordCount application in
> it.
&g
d I am running MapReduce WordCount application
in it.
I want to print some variable values in the console(where you can see the map
and reduce job progress and other job information) for debugging purpose while
running the MapReduce application. What is the easiest way to do that?
Thanks in a
Hi,
The easiest way is to open a new window and display the log file as follow
tail -f /path/to/log/file.log
Best,
Sultan
> On Oct 4, 2017, at 5:20 PM, Tanvir Rahman <tanvir9982...@gmail.com> wrote:
>
> Hello,
> I have a small cluster and I am running MapReduce Wor
Hello,
I have a small cluster and I am running MapReduce WordCount application in
it.
I want to print some variable values in the console(where you can see the
map and reduce job progress and other job information) for debugging
purpose while running the MapReduce application. What is the easiest
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);
Hi,
I want to run mapreduce on different filesystems as input and output locations.
# hadoop jar examples.jar wordcount hdfs://input s3://output
Is it possible?
any kinds of comments will be welcome.
Best regards,
Jae-Hyuck
We have a mapreduce that processes text files that are inside a zip file.
The program ran fine when we gave upto 40GB sized zip files.
When we gave a zip file of size 80MB as input (the zip file has a 1.2GB
text file inside), the map reduce errored out with
below error:
2016-01-21 14:47:19,384
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.
Right now I am doing it manually How can I automate this?
How can I save the log of each execution in text
K S
Date: 2014-10-31 16:12
To: user@hadoop.apache.org
Subject: RE: YarnChild didn't be killed after running mapreduce
This is strange!! Can you get ps �Caef | grep pid fro this process?
What is the application status in RM UI?
Thanks Regards
Rohith Sharma K S
This e-mail and its attachments
/hsperfdata_yarn ,it will be there
after running mapreduce(yarn) again.
I had modified many parameters in yarn-site.xml and mapred-site.xml.
yarn-site.xml
property
nameyarn.nodemanager.resource.memory-mb/name
value4096/value
/property
property
nameyarn.nodemanager.resource.cpu-vcores/name
immediately and
delete it!
From: dwld0...@gmail.com [mailto:dwld0...@gmail.com]
Sent: 31 October 2014 13:05
To: user@hadoop.apache.org
Subject: YarnChild didn't be killed after running mapreduce
All
I runed mapreduce example successfully,but it always appeared invalid process
on the nodemanager
HiHow to solve this problem？I deleted all data and reformated the hadoop.All
are work,only it appeared the unavailable process after running
mapreduce,deleted the process,still appear again.
dwld0...@gmail.com
From: dwld0425@gmail.comDate: 2014-05-26 10:56To:
user@hadoop.apache.orgSubject
Hi Once running mapreduce, it will appear an unavailable process.Each time it
will be like this.3472 ThriftServer
3134 NodeManager
3322 HRegionServer
4383 -- process information unavailable
4595 Jps
2978 DataNode
I delete the process id in directory of /tmp/hsperfdata_yarn
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 dwld0...@gmail.comwrote:
Hi
*Once running mapreduce, it will appear
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
Hi Hemanth;
Thanks for your grreat helps,
I am really much obliged to you.
I solved this problem by changing my java compiler vs. but now though I
changed everynodes configuration I am getting this error even I tried to
run example of wordcount without making any changes.
What may be the
Can you try this ? Pick a class like WordCount from your package and
execute this command:
javap -classpath path to your jar -verbose org.myorg.Wordcount | grep
version.
For e.g. here's what I get for my class:
$ javap -verbose WCMapper | grep version
minor version: 0
major version: 50
Hi everyone,
I know this is the common mistake to not specify the class adress while
trying to run a jar, however,
although I specified, I am still getting the ClassNotFound exception.
What may be the reason for it? I have been struggling for this problem more
than a 2 days.
I just wrote
Your point (4) explains the problem. The jar packed structure should
look like the below, and not how it is presently (one extra top level
dir is present):
META-INF/
META-INF/MANIFEST.MF
org/
org/myorg/
org/myorg/WordCount.class
org/myorg/WordCount$TokenizerMapper.class
Oops. I just noticed Hemanth has been answering on a dupe thread as
well. Lets drop this thread and carry on there :)
On Tue, Feb 19, 2013 at 11:14 PM, Harsh J ha...@cloudera.com wrote:
Hi,
The new error usually happens if you compile using Java 7 and try to
run via Java 6 (for example). That
.
Regards
Bejoy KS
Sent from remote device, Please excuse typos
--
*From: * yaotian yaot...@gmail.com
*Date: *Fri, 11 Jan 2013 14:35:07 +0800
*To: *user@hadoop.apache.org
*ReplyTo: * user@hadoop.apache.org
*Subject: *Re: I am running MapReduce on a 30G data on 1master/2
from remote device, Please excuse typos
From: yaotian yaot...@gmail.com
Date: Fri, 11 Jan 2013 14:35:07 +0800
To: user@hadoop.apache.org
ReplyTo: user@hadoop.apache.org
Subject: Re: I am running MapReduce on a 30G data on 1master/2 slave, but
failed.
See inline.
2013/1/11 Harsh J ha
--
*From: * yaotian yaot...@gmail.com
*Date: *Fri, 11 Jan 2013 14:35:07 +0800
*To: *user@hadoop.apache.org
*ReplyTo: * user@hadoop.apache.org
*Subject: *Re: I am running MapReduce on a 30G data on 1master/2 slave,
but failed.
See inline.
2013/1/11 Harsh J ha
Are you running this on the VM by any chance?
On Jan 10, 2013, at 9:11 PM, Mahesh Balija
balijamahesh@gmail.commailto:balijamahesh@gmail.com wrote:
Hi,
2 reducers are successfully completed and 1498 have been killed. I
assume that you have the data issues. (Either the
Hi,
2 reducers are successfully completed and 1498 have been killed.
I assume that you have the data issues. (Either the data is huge or some
issues with the data you are trying to process)
One possibility could be you have many values associated to a
single key, which can
Yes, you are right. The data is GPS trace related to corresponding uid. The
reduce is doing this: Sort user to get this kind of result: uid, gps1,
gps2, gps3
Yes, the gps data is big because this is 30G data.
How to solve this?
2013/1/11 Mahesh Balija balijamahesh@gmail.com
Hi,
If the per-record processing time is very high, you will need to
periodically report a status. Without a status change report from the task
to the tracker, it will be killed away as a dead task after a default
timeout of 10 minutes (600s).
Also, beware of holding too much memory in a reduce JVM -
See inline.
2013/1/11 Harsh J ha...@cloudera.com
If the per-record processing time is very high, you will need to
periodically report a status. Without a status change report from the task
to the tracker, it will be killed away as a dead task after a default
timeout of 10 minutes (600s).
To: user@hadoop.apache.org
Reply-To: user@hadoop.apache.org
Subject: Re: I am running MapReduce on a 30G data on 1master/2 slave, but
failed.
See inline.
2013/1/11 Harsh J ha...@cloudera.com
If the per-record processing time is very high, you will need to
periodically report a status. Without
Hi,
I am encountering the below error when i try to run unit tests
using MRUnit for mapreduce on Windows in my eclipse environment.
Version of Hadoop is 0.20.2. I already have Cygwin installed and
set in my PATH variable.
Error:
give a solution to this
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Sent from the Users mailing list archive at Nabble.com.
/problem-in-running-mapreduce-task-tp2676765p2676765.html
Sent from the Users mailing list archive at Nabble.com.
a solution to this
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Sent from the Users mailing list archive at Nabble.com.
I am looking into the problem of running jobs to generate statistics across
a large data set that would be split into different clusters
geographically. Each cluster would have a unique piece of the overall data
set, as the network overhead to collocate the data would be too much. I
tried
You could easily write Cascading apps that could pull all the data into a
single source and perform the processing.
You could also use it to launch jobs in different clusters from a single
application (each Flow can be given unique properties causing it to run mr jobs
on arbitrary clusters).
)
at java.lang.reflect.Constructor.newInstance(Constructor.java:513)
at org.apache.hadoop.util
Any idea why is this happening?
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Sent from
Nishant:
You can submit jobs from any java program provided you have the Hadoop
jars and configuration directory in your classpath. This is done with
the normal JobClient class.
On Thu, May 27, 2010 at 3:58 AM, Nishant Sonar nisha...@synechron.com wrote:
Hello
I have a requirement where i
Thanks Aaron for the explanation.
On Tue, Apr 7, 2009 at 1:51 PM, Aaron Kimball aa...@cloudera.com wrote:
All the nodes in your Hadoop cluster need access to the class files for
your
MapReduce job. The current mechanism that Hadoop has to distribute classes
and attach them to the classpath
All the nodes in your Hadoop cluster need access to the class files for your
MapReduce job. The current mechanism that Hadoop has to distribute classes
and attach them to the classpath assumes they're in a JAR together. Thus,
merely specifying the names of mapper/reducer classes with
Yes, as an additional info,
you can use this code just to start the job, not wait until it's finished:
JobClient client = new JobClient(conf);
client.runJob(conf);
2009/4/1 javateck javateck javat...@gmail.com
you can run from java program:
JobConf conf = new
Does this class need to have the mapper and reducer classes too?
On Wed, Apr 1, 2009 at 1:52 PM, javateck javateck javat...@gmail.comwrote:
you can run from java program:
JobConf conf = new JobConf(MapReduceWork.class);
// setting your params
JobClient.runJob(conf);
I did all of them i.e. I used setMapClass, setReduceClass and new
JobConf(MapReduceWork.class) but still it cannot run the job without a jar
file. I understand the reason that it looks for those classes inside a jar
but I think there should be some better way to find those classes without
using a
Hello,
Can anyone tell me if there is any way running a map-reduce job from a java
program without specifying the jar file by JobConf.setJar() method?
Thanks,
--
Mohammad Farhan Husain
Research Assistant
Department of Computer Science
Erik Jonsson School of Engineering and Computer Science
I think you need to set a property (mapred.jar) inside hadoop-site.xml, then
you don't need to hardcode in your java code, and it will be fine.
But I don't know if there is any way that we can set multiple jars, since a
lot of times our own mapreduce class needs to reference other jars.
On Wed,
Can I get rid of the whole jar thing? Is there any way to run map reduce
programs without using a jar? I do not want to use hadoop jar ... either.
On Wed, Apr 1, 2009 at 1:10 PM, javateck javateck javat...@gmail.comwrote:
I think you need to set a property (mapred.jar) inside hadoop-site.xml,
you can run from java program:
JobConf conf = new JobConf(MapReduceWork.class);
// setting your params
JobClient.runJob(conf);
On Wed, Apr 1, 2009 at 11:42 AM, Farhan Husain russ...@gmail.com wrote:
Can I get rid of the whole jar thing? Is there any way to run map
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