each thread to create maps
to handle different logs.
2012/12/13 Yang
> but I do have run across some situations where I could benefit from
> multi-threading: if your hadoop mapper is prone to random access IO (such
> as looking up a TFile, or HBase, which ultimately makes a network call an
I think it won't help much, since in a hadoop cluster, people already
allocate "SLOTS" to be the number of cores, supposedly the inherent
parallelism can be already exploited, since different mappers/reducers are
completely independent.
On Wed, Dec 12, 2012 at 2:09 AM, Yu Yang
mapred.java.child.opts)
then use eclipse to connect to the tasktracker , note you need to choose
between "Listen/attach" in the
"Run remote application" window in eclipse
On Wed, Jul 4, 2012 at 7:00 PM, Jason Yang wrote:
> ramon,
>
> Thank for your reply very much.
&g
all right, thanks~
在 2012年7月5日星期四，Marcos Ortiz 写道：
> Jason,
> Ramon is right.
> The best way to debug a MapReduce job is mounting a local cluster, and
> then, when you have tested enough your code, then, you can
> deploy it in a real distributed cluster.
> On 07/04/2012 10
VM and can be easily
> debugged using Eclipse. Hope this will be useful.
>
>
>
> *From:* Jason Yang [mailto:lin.yang.ja...@gmail.com 'cvml', 'lin.yang.ja...@gmail.com');>]
> *Sent:* miércoles, 04 de julio de 2012 11:25
> *To:* mapreduce-user
> *Subject:* Ho
lipse?
--
YANG, Lin
.dll into the PATH.
> And everything works.
>
> Zhu, Guojun
> Modeling Sr Graduate
> 571-3824370
> guojun_...@freddiemac.com
> Financial Engineering
> Freddie Mac
>
>
> *jason Yang *
>
>05/23/2012 05:37 AM
> Please respond to
> mapreduce-user@had
Hi, All~
Currently, I'm trying to rewrite an algorithm to MapReduce form. Since the
algorithm depends on some third-party DLLs which are written in C++, I was
wondering would I call a DLL in the Map() / Reduce() by using JNI?
Thanks.
--
YANG, Lin
lib.input is the new architecture, .mapred is for legacy backward
compatibility
if u use .mapreduce , you should use mapreduces.lib..
On Mon, Jan 30, 2012 at 10:21 AM, GUOJUN Zhu wrote:
>
> Hi,
>
> I am learning Hadoop now. I am trying to write a customized inputformat.
> I found out that
possible
to spread out my mappers?
Thanks
Yang
Hi, all
I got the following exception when I submit a hadoop streaming job to my
hadoop cluster.
I wrote the mapper in perl langguage, and there is no reducer. the mapper
script runs well on local server.
Hadoop version: Hadoop 0.20.2-CDH3B4
Can anyone give me some help? What is the problem exact
Hi,
For anyone who is interested in installing Yahoo patched hadoop 0.20.2+ (
branch-0.20-security) in rpm or debian form. There is a new option. There are
proposals from Owen to standardize Hadoop deployment in
https://issues.apache.org/jira/browse/HADOOP-6255. I created rpm/debian
package
Hi Victor,
Thanks for the detailed examination. I will make sure to remove the URI
prefix in my code for now.
Regards,
Eric
On 1/20/10 5:36 AM, "Victor Hsieh" wrote:
> BTW, this issue has been reported:
> http://issues.apache.org/jira/browse/MAPREDUCE-752
>
> On Wed, Jan 20, 2010 at 7:59 PM,
>> Your above code should work properly. Added jars will not be part of job.jar.
>> The addon.jar will be uploaded by the client, the added libjars will be added
>> to classpath using DistributedCache.
>> So, above code should work unless your path to jar or the jar itself was
>> wrong.
When the
wrote:
> You should use the DistributedCache.
> http://hadoop.apache.org/common/docs/current/mapred_tutorial.html#Distributed
> Cache
>
>
>
> On Thu, Dec 31, 2009 at 3:21 PM, Eric Yang wrote:
>> Hi,
>>
>> I have a mapreduce program embeded in a java appli
Hi,
I have a mapreduce program embeded in a java application, and I am trying to
load additional jar files as add-on for the execution of my map reduce job.
My program works like this:
JobConf conf = new JobConf(new Configuration(), Demux.class);
conf.setBoolean("mapred.used.genericoptionsparser"
16 matches
Mail list logo
