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Posted to common-user@hadoop.apache.org by Sai Sai <sa...@yahoo.in> on 2013/03/14 09:45:53 UTC
Re: Block vs FileSplit vs record vs line
Just wondering if this is right way to understand this:
A large file is split into multiple blocks and each block is split into multiple file splits and each file split has multiple records and each record has multiple lines. Each line is processed by 1 instance of mapper.
Any help is appreciated.
Thanks
Sai
Re: Increase the number of mappers in PM mode
Posted by Harsh J <ha...@cloudera.com>.
In MR2, to have more mappers executed per NM, your memory request for each
map should be set such that the NM's configured memory allowance can fit in
multiple requests. For example, if my NM memory is set to 16 GB assuming
just 1 NM in cluster, and I submit a job with mapreduce.map.memory.mb and
yarn.app.mapreduce.am.resource.mb both set to 1 GB, then the NM can execute
15 maps in parallel consuming upto 1 GB memory each (while using the
remaining 1 GB for the AM to coordinate those executions).
On Sat, Mar 16, 2013 at 10:16 AM, yypvsxf19870706 <yypvsxf19870706@gmail.com
> wrote:
> hi：
> i think i have got it . Thank you.
>
> 发自我的 iPhone
>
> 在 2013-3-15，18:32，Zheyi RONG <ro...@gmail.com> 写道：
>
> Indeed you cannot explicitly set the number of mappers, but still you can
> gain some control over it, by setting mapred.max.split.size, or
> mapred.min.split.size.
>
> For example, if you have a file of 10GB (10737418240 B), you would like 10
> mappers, then each mapper has to deal with 1GB data.
> According to "splitsize = max(minimumSize, min(maximumSize, blockSize))",
> you can set mapred.min.split.size=1073741824 (1GB), i.e.
> $hadoop jar -Dmapred.min.split.size=1073741824 yourjar yourargs
>
> It is well explained in thread:
> http://stackoverflow.com/questions/9678180/change-file-split-size-in-hadoop
> .
>
> Regards,
> Zheyi.
>
> On Fri, Mar 15, 2013 at 8:49 AM, YouPeng Yang <yy...@gmail.com>wrote:
>
>> s
>
>
>
>
--
Harsh J
Re: Increase the number of mappers in PM mode
Posted by Harsh J <ha...@cloudera.com>.
In MR2, to have more mappers executed per NM, your memory request for each
map should be set such that the NM's configured memory allowance can fit in
multiple requests. For example, if my NM memory is set to 16 GB assuming
just 1 NM in cluster, and I submit a job with mapreduce.map.memory.mb and
yarn.app.mapreduce.am.resource.mb both set to 1 GB, then the NM can execute
15 maps in parallel consuming upto 1 GB memory each (while using the
remaining 1 GB for the AM to coordinate those executions).
On Sat, Mar 16, 2013 at 10:16 AM, yypvsxf19870706 <yypvsxf19870706@gmail.com
> wrote:
> hi：
> i think i have got it . Thank you.
>
> 发自我的 iPhone
>
> 在 2013-3-15，18:32，Zheyi RONG <ro...@gmail.com> 写道：
>
> Indeed you cannot explicitly set the number of mappers, but still you can
> gain some control over it, by setting mapred.max.split.size, or
> mapred.min.split.size.
>
> For example, if you have a file of 10GB (10737418240 B), you would like 10
> mappers, then each mapper has to deal with 1GB data.
> According to "splitsize = max(minimumSize, min(maximumSize, blockSize))",
> you can set mapred.min.split.size=1073741824 (1GB), i.e.
> $hadoop jar -Dmapred.min.split.size=1073741824 yourjar yourargs
>
> It is well explained in thread:
> http://stackoverflow.com/questions/9678180/change-file-split-size-in-hadoop
> .
>
> Regards,
> Zheyi.
>
> On Fri, Mar 15, 2013 at 8:49 AM, YouPeng Yang <yy...@gmail.com>wrote:
>
>> s
>
>
>
>
--
Harsh J
Re: Increase the number of mappers in PM mode
Posted by Harsh J <ha...@cloudera.com>.
In MR2, to have more mappers executed per NM, your memory request for each
map should be set such that the NM's configured memory allowance can fit in
multiple requests. For example, if my NM memory is set to 16 GB assuming
just 1 NM in cluster, and I submit a job with mapreduce.map.memory.mb and
yarn.app.mapreduce.am.resource.mb both set to 1 GB, then the NM can execute
15 maps in parallel consuming upto 1 GB memory each (while using the
remaining 1 GB for the AM to coordinate those executions).
On Sat, Mar 16, 2013 at 10:16 AM, yypvsxf19870706 <yypvsxf19870706@gmail.com
> wrote:
> hi：
> i think i have got it . Thank you.
>
> 发自我的 iPhone
>
> 在 2013-3-15，18:32，Zheyi RONG <ro...@gmail.com> 写道：
>
> Indeed you cannot explicitly set the number of mappers, but still you can
> gain some control over it, by setting mapred.max.split.size, or
> mapred.min.split.size.
>
> For example, if you have a file of 10GB (10737418240 B), you would like 10
> mappers, then each mapper has to deal with 1GB data.
> According to "splitsize = max(minimumSize, min(maximumSize, blockSize))",
> you can set mapred.min.split.size=1073741824 (1GB), i.e.
> $hadoop jar -Dmapred.min.split.size=1073741824 yourjar yourargs
>
> It is well explained in thread:
> http://stackoverflow.com/questions/9678180/change-file-split-size-in-hadoop
> .
>
> Regards,
> Zheyi.
>
> On Fri, Mar 15, 2013 at 8:49 AM, YouPeng Yang <yy...@gmail.com>wrote:
>
>> s
>
>
>
>
--
Harsh J
Re: Increase the number of mappers in PM mode
Posted by Harsh J <ha...@cloudera.com>.
In MR2, to have more mappers executed per NM, your memory request for each
map should be set such that the NM's configured memory allowance can fit in
multiple requests. For example, if my NM memory is set to 16 GB assuming
just 1 NM in cluster, and I submit a job with mapreduce.map.memory.mb and
yarn.app.mapreduce.am.resource.mb both set to 1 GB, then the NM can execute
15 maps in parallel consuming upto 1 GB memory each (while using the
remaining 1 GB for the AM to coordinate those executions).
On Sat, Mar 16, 2013 at 10:16 AM, yypvsxf19870706 <yypvsxf19870706@gmail.com
> wrote:
> hi：
> i think i have got it . Thank you.
>
> 发自我的 iPhone
>
> 在 2013-3-15，18:32，Zheyi RONG <ro...@gmail.com> 写道：
>
> Indeed you cannot explicitly set the number of mappers, but still you can
> gain some control over it, by setting mapred.max.split.size, or
> mapred.min.split.size.
>
> For example, if you have a file of 10GB (10737418240 B), you would like 10
> mappers, then each mapper has to deal with 1GB data.
> According to "splitsize = max(minimumSize, min(maximumSize, blockSize))",
> you can set mapred.min.split.size=1073741824 (1GB), i.e.
> $hadoop jar -Dmapred.min.split.size=1073741824 yourjar yourargs
>
> It is well explained in thread:
> http://stackoverflow.com/questions/9678180/change-file-split-size-in-hadoop
> .
>
> Regards,
> Zheyi.
>
> On Fri, Mar 15, 2013 at 8:49 AM, YouPeng Yang <yy...@gmail.com>wrote:
>
>> s
>
>
>
>
--
Harsh J
Re: Increase the number of mappers in PM mode
Posted by yypvsxf19870706 <yy...@gmail.com>.
hi��
i think i have got it . Thank you.
�����ҵ� iPhone
�� 2013-3-15��18:32��Zheyi RONG <ro...@gmail.com> ���
> Indeed you cannot explicitly set the number of mappers, but still you can gain some control over it, by setting mapred.max.split.size, or mapred.min.split.size.
>
> For example, if you have a file of 10GB (10737418240 B), you would like 10 mappers, then each mapper has to deal with 1GB data.
> According to "splitsize = max(minimumSize, min(maximumSize, blockSize))", you can set mapred.min.split.size=1073741824 (1GB), i.e.
> $hadoop jar -Dmapred.min.split.size=1073741824 yourjar yourargs
>
> It is well explained in thread: http://stackoverflow.com/questions/9678180/change-file-split-size-in-hadoop.
>
> Regards,
> Zheyi.
>
> On Fri, Mar 15, 2013 at 8:49 AM, YouPeng Yang <yy...@gmail.com> wrote:
>> s
>
>
Re: Increase the number of mappers in PM mode
Posted by yypvsxf19870706 <yy...@gmail.com>.
hi：
i think i have got it . Thank you.
发自我的 iPhone
在 2013-3-15，18:32，Zheyi RONG <ro...@gmail.com> 写道：
> Indeed you cannot explicitly set the number of mappers, but still you can gain some control over it, by setting mapred.max.split.size, or mapred.min.split.size.
>
> For example, if you have a file of 10GB (10737418240 B), you would like 10 mappers, then each mapper has to deal with 1GB data.
> According to "splitsize = max(minimumSize, min(maximumSize, blockSize))", you can set mapred.min.split.size=1073741824 (1GB), i.e.
> $hadoop jar -Dmapred.min.split.size=1073741824 yourjar yourargs
>
> It is well explained in thread: http://stackoverflow.com/questions/9678180/change-file-split-size-in-hadoop.
>
> Regards,
> Zheyi.
>
> On Fri, Mar 15, 2013 at 8:49 AM, YouPeng Yang <yy...@gmail.com> wrote:
>> s
>
>
Re: Increase the number of mappers in PM mode
Posted by yypvsxf19870706 <yy...@gmail.com>.
hi：
i think i have got it . Thank you.
发自我的 iPhone
在 2013-3-15，18:32，Zheyi RONG <ro...@gmail.com> 写道：
> Indeed you cannot explicitly set the number of mappers, but still you can gain some control over it, by setting mapred.max.split.size, or mapred.min.split.size.
>
> For example, if you have a file of 10GB (10737418240 B), you would like 10 mappers, then each mapper has to deal with 1GB data.
> According to "splitsize = max(minimumSize, min(maximumSize, blockSize))", you can set mapred.min.split.size=1073741824 (1GB), i.e.
> $hadoop jar -Dmapred.min.split.size=1073741824 yourjar yourargs
>
> It is well explained in thread: http://stackoverflow.com/questions/9678180/change-file-split-size-in-hadoop.
>
> Regards,
> Zheyi.
>
> On Fri, Mar 15, 2013 at 8:49 AM, YouPeng Yang <yy...@gmail.com> wrote:
>> s
>
>
Re: Increase the number of mappers in PM mode
Posted by yypvsxf19870706 <yy...@gmail.com>.
hi��
i think i have got it . Thank you.
�����ҵ� iPhone
�� 2013-3-15��18:32��Zheyi RONG <ro...@gmail.com> ���
> Indeed you cannot explicitly set the number of mappers, but still you can gain some control over it, by setting mapred.max.split.size, or mapred.min.split.size.
>
> For example, if you have a file of 10GB (10737418240 B), you would like 10 mappers, then each mapper has to deal with 1GB data.
> According to "splitsize = max(minimumSize, min(maximumSize, blockSize))", you can set mapred.min.split.size=1073741824 (1GB), i.e.
> $hadoop jar -Dmapred.min.split.size=1073741824 yourjar yourargs
>
> It is well explained in thread: http://stackoverflow.com/questions/9678180/change-file-split-size-in-hadoop.
>
> Regards,
> Zheyi.
>
> On Fri, Mar 15, 2013 at 8:49 AM, YouPeng Yang <yy...@gmail.com> wrote:
>> s
>
>
Re: Increase the number of mappers in PM mode
Posted by Zheyi RONG <ro...@gmail.com>.
Indeed you cannot explicitly set the number of mappers, but still you can
gain some control over it, by setting mapred.max.split.size, or
mapred.min.split.size.
For example, if you have a file of 10GB (10737418240 B), you would like 10
mappers, then each mapper has to deal with 1GB data.
According to "splitsize = max(minimumSize, min(maximumSize, blockSize))",
you can set mapred.min.split.size=1073741824 (1GB), i.e.
$hadoop jar -Dmapred.min.split.size=1073741824 yourjar yourargs
It is well explained in thread:
http://stackoverflow.com/questions/9678180/change-file-split-size-in-hadoop.
Regards,
Zheyi.
On Fri, Mar 15, 2013 at 8:49 AM, YouPeng Yang <yy...@gmail.com>wrote:
> s
Re: Increase the number of mappers in PM mode
Posted by Zheyi RONG <ro...@gmail.com>.
Indeed you cannot explicitly set the number of mappers, but still you can
gain some control over it, by setting mapred.max.split.size, or
mapred.min.split.size.
For example, if you have a file of 10GB (10737418240 B), you would like 10
mappers, then each mapper has to deal with 1GB data.
According to "splitsize = max(minimumSize, min(maximumSize, blockSize))",
you can set mapred.min.split.size=1073741824 (1GB), i.e.
$hadoop jar -Dmapred.min.split.size=1073741824 yourjar yourargs
It is well explained in thread:
http://stackoverflow.com/questions/9678180/change-file-split-size-in-hadoop.
Regards,
Zheyi.
On Fri, Mar 15, 2013 at 8:49 AM, YouPeng Yang <yy...@gmail.com>wrote:
> s
Re: Increase the number of mappers in PM mode
Posted by Zheyi RONG <ro...@gmail.com>.
Indeed you cannot explicitly set the number of mappers, but still you can
gain some control over it, by setting mapred.max.split.size, or
mapred.min.split.size.
For example, if you have a file of 10GB (10737418240 B), you would like 10
mappers, then each mapper has to deal with 1GB data.
According to "splitsize = max(minimumSize, min(maximumSize, blockSize))",
you can set mapred.min.split.size=1073741824 (1GB), i.e.
$hadoop jar -Dmapred.min.split.size=1073741824 yourjar yourargs
It is well explained in thread:
http://stackoverflow.com/questions/9678180/change-file-split-size-in-hadoop.
Regards,
Zheyi.
On Fri, Mar 15, 2013 at 8:49 AM, YouPeng Yang <yy...@gmail.com>wrote:
> s
Re: Increase the number of mappers in PM mode
Posted by Zheyi RONG <ro...@gmail.com>.
Indeed you cannot explicitly set the number of mappers, but still you can
gain some control over it, by setting mapred.max.split.size, or
mapred.min.split.size.
For example, if you have a file of 10GB (10737418240 B), you would like 10
mappers, then each mapper has to deal with 1GB data.
According to "splitsize = max(minimumSize, min(maximumSize, blockSize))",
you can set mapred.min.split.size=1073741824 (1GB), i.e.
$hadoop jar -Dmapred.min.split.size=1073741824 yourjar yourargs
It is well explained in thread:
http://stackoverflow.com/questions/9678180/change-file-split-size-in-hadoop.
Regards,
Zheyi.
On Fri, Mar 15, 2013 at 8:49 AM, YouPeng Yang <yy...@gmail.com>wrote:
> s
Re: Increase the number of mappers in PM mode
Posted by YouPeng Yang <yy...@gmail.com>.
HI:
i get these interview questions by doing some googles:
Q29. How can you set an arbitary number of mappers to be created for a job
in Hadoop
This is a trick question. You cannot set it
>> The above test proves you cannot an arbitary number of mappers .
Q30. How can you set an arbitary number of reducers to be created for a job
in Hadoop
You can either do it progamatically by using method setNumReduceTasksin the
JobConfclass or set it up as a configuration setting
I test the Q30,it seems right.
my logs:
[hadoop@Hadoop01 bin]$./hadoop jar
../share/hadoop/mapreduce/hadoop-mapreduce-examples-2.0.0-cdh4.1.2.jar
wordcount -D mapreduce.job.reduces=2 -D mapreduce.jobtracker.address=
10.167.14.221:50030 /user/hadoop/yyp/input /user/hadoop/yyp/output3
===================================
Job Counters
Launched map tasks=1
Launched reduce tasks=2 -----> it actually changed .
Rack-local map tasks=1
Total time spent by all maps in occupied slots (ms)=60356
Total time spent by all reduces in occupied slots (ms)=135224
============================
regards
2013/3/14 YouPeng Yang <yy...@gmail.com>
> Hi
> the docs only have a property
> : mapreduce.input.fileinputformat.split.minsize (default value is 0)
> does it matter?
>
>
>
> 2013/3/14 Zheyi RONG <ro...@gmail.com>
>
>> Have you considered change mapred.max.split.size ?
>> As in:
>> http://stackoverflow.com/questions/9678180/change-file-split-size-in-hadoop
>>
>> Zheyi
>>
>>
>> On Thu, Mar 14, 2013 at 3:27 PM, YouPeng Yang <yy...@gmail.com>wrote:
>>
>>> Hi
>>>
>>>
>>> I have done some tests in my Pseudo Mode(CDH4.1.2)with MV2 yarn,and
>>> :
>>> According to the doc:
>>> *mapreduce.jobtracker.address :*The host and port that the MapReduce
>>> job tracker runs at. If "local", then jobs are run in-process as a single
>>> map and reduce task.
>>> *mapreduce.job.maps (default value is 2)* :The default number of map
>>> tasks per job. Ignored when mapreduce.jobtracker.address is "local".
>>>
>>> I changed the mapreduce.jobtracker.address = Hadoop:50031.
>>>
>>> And then run the wordcount examples:
>>> hadoop jar hadoop-mapreduce-examples-2.0.0-cdh4.1.2.jar wordcount
>>> input output
>>>
>>> the output logs are as follows:
>>> ....
>>> Job Counters
>>> Launched map tasks=1
>>> Launched reduce tasks=1
>>> Data-local map tasks=1
>>> Total time spent by all maps in occupied slots (ms)=60336
>>> Total time spent by all reduces in occupied slots (ms)=63264
>>> Map-Reduce Framework
>>> Map input records=5
>>> Map output records=7
>>> Map output bytes=56
>>> Map output materialized bytes=76
>>> ....
>>>
>>> i seem to does not work.
>>>
>>> I thought maybe my input file is small-just 5 records . is it right?
>>>
>>> regards
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>> 2013/3/14 Sai Sai <sa...@yahoo.in>
>>>
>>>>
>>>>
>>>> In Pseudo Mode where is the setting to increase the number of mappers
>>>> or is this not possible.
>>>> Thanks
>>>> Sai
>>>>
>>>
>>>
>>
>
Re: Increase the number of mappers in PM mode
Posted by YouPeng Yang <yy...@gmail.com>.
HI:
i get these interview questions by doing some googles:
Q29. How can you set an arbitary number of mappers to be created for a job
in Hadoop
This is a trick question. You cannot set it
>> The above test proves you cannot an arbitary number of mappers .
Q30. How can you set an arbitary number of reducers to be created for a job
in Hadoop
You can either do it progamatically by using method setNumReduceTasksin the
JobConfclass or set it up as a configuration setting
I test the Q30,it seems right.
my logs:
[hadoop@Hadoop01 bin]$./hadoop jar
../share/hadoop/mapreduce/hadoop-mapreduce-examples-2.0.0-cdh4.1.2.jar
wordcount -D mapreduce.job.reduces=2 -D mapreduce.jobtracker.address=
10.167.14.221:50030 /user/hadoop/yyp/input /user/hadoop/yyp/output3
===================================
Job Counters
Launched map tasks=1
Launched reduce tasks=2 -----> it actually changed .
Rack-local map tasks=1
Total time spent by all maps in occupied slots (ms)=60356
Total time spent by all reduces in occupied slots (ms)=135224
============================
regards
2013/3/14 YouPeng Yang <yy...@gmail.com>
> Hi
> the docs only have a property
> : mapreduce.input.fileinputformat.split.minsize (default value is 0)
> does it matter?
>
>
>
> 2013/3/14 Zheyi RONG <ro...@gmail.com>
>
>> Have you considered change mapred.max.split.size ?
>> As in:
>> http://stackoverflow.com/questions/9678180/change-file-split-size-in-hadoop
>>
>> Zheyi
>>
>>
>> On Thu, Mar 14, 2013 at 3:27 PM, YouPeng Yang <yy...@gmail.com>wrote:
>>
>>> Hi
>>>
>>>
>>> I have done some tests in my Pseudo Mode(CDH4.1.2)with MV2 yarn,and
>>> :
>>> According to the doc:
>>> *mapreduce.jobtracker.address :*The host and port that the MapReduce
>>> job tracker runs at. If "local", then jobs are run in-process as a single
>>> map and reduce task.
>>> *mapreduce.job.maps (default value is 2)* :The default number of map
>>> tasks per job. Ignored when mapreduce.jobtracker.address is "local".
>>>
>>> I changed the mapreduce.jobtracker.address = Hadoop:50031.
>>>
>>> And then run the wordcount examples:
>>> hadoop jar hadoop-mapreduce-examples-2.0.0-cdh4.1.2.jar wordcount
>>> input output
>>>
>>> the output logs are as follows:
>>> ....
>>> Job Counters
>>> Launched map tasks=1
>>> Launched reduce tasks=1
>>> Data-local map tasks=1
>>> Total time spent by all maps in occupied slots (ms)=60336
>>> Total time spent by all reduces in occupied slots (ms)=63264
>>> Map-Reduce Framework
>>> Map input records=5
>>> Map output records=7
>>> Map output bytes=56
>>> Map output materialized bytes=76
>>> ....
>>>
>>> i seem to does not work.
>>>
>>> I thought maybe my input file is small-just 5 records . is it right?
>>>
>>> regards
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>> 2013/3/14 Sai Sai <sa...@yahoo.in>
>>>
>>>>
>>>>
>>>> In Pseudo Mode where is the setting to increase the number of mappers
>>>> or is this not possible.
>>>> Thanks
>>>> Sai
>>>>
>>>
>>>
>>
>
Re: Increase the number of mappers in PM mode
Posted by YouPeng Yang <yy...@gmail.com>.
HI:
i get these interview questions by doing some googles:
Q29. How can you set an arbitary number of mappers to be created for a job
in Hadoop
This is a trick question. You cannot set it
>> The above test proves you cannot an arbitary number of mappers .
Q30. How can you set an arbitary number of reducers to be created for a job
in Hadoop
You can either do it progamatically by using method setNumReduceTasksin the
JobConfclass or set it up as a configuration setting
I test the Q30,it seems right.
my logs:
[hadoop@Hadoop01 bin]$./hadoop jar
../share/hadoop/mapreduce/hadoop-mapreduce-examples-2.0.0-cdh4.1.2.jar
wordcount -D mapreduce.job.reduces=2 -D mapreduce.jobtracker.address=
10.167.14.221:50030 /user/hadoop/yyp/input /user/hadoop/yyp/output3
===================================
Job Counters
Launched map tasks=1
Launched reduce tasks=2 -----> it actually changed .
Rack-local map tasks=1
Total time spent by all maps in occupied slots (ms)=60356
Total time spent by all reduces in occupied slots (ms)=135224
============================
regards
2013/3/14 YouPeng Yang <yy...@gmail.com>
> Hi
> the docs only have a property
> : mapreduce.input.fileinputformat.split.minsize (default value is 0)
> does it matter?
>
>
>
> 2013/3/14 Zheyi RONG <ro...@gmail.com>
>
>> Have you considered change mapred.max.split.size ?
>> As in:
>> http://stackoverflow.com/questions/9678180/change-file-split-size-in-hadoop
>>
>> Zheyi
>>
>>
>> On Thu, Mar 14, 2013 at 3:27 PM, YouPeng Yang <yy...@gmail.com>wrote:
>>
>>> Hi
>>>
>>>
>>> I have done some tests in my Pseudo Mode(CDH4.1.2)with MV2 yarn,and
>>> :
>>> According to the doc:
>>> *mapreduce.jobtracker.address :*The host and port that the MapReduce
>>> job tracker runs at. If "local", then jobs are run in-process as a single
>>> map and reduce task.
>>> *mapreduce.job.maps (default value is 2)* :The default number of map
>>> tasks per job. Ignored when mapreduce.jobtracker.address is "local".
>>>
>>> I changed the mapreduce.jobtracker.address = Hadoop:50031.
>>>
>>> And then run the wordcount examples:
>>> hadoop jar hadoop-mapreduce-examples-2.0.0-cdh4.1.2.jar wordcount
>>> input output
>>>
>>> the output logs are as follows:
>>> ....
>>> Job Counters
>>> Launched map tasks=1
>>> Launched reduce tasks=1
>>> Data-local map tasks=1
>>> Total time spent by all maps in occupied slots (ms)=60336
>>> Total time spent by all reduces in occupied slots (ms)=63264
>>> Map-Reduce Framework
>>> Map input records=5
>>> Map output records=7
>>> Map output bytes=56
>>> Map output materialized bytes=76
>>> ....
>>>
>>> i seem to does not work.
>>>
>>> I thought maybe my input file is small-just 5 records . is it right?
>>>
>>> regards
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>> 2013/3/14 Sai Sai <sa...@yahoo.in>
>>>
>>>>
>>>>
>>>> In Pseudo Mode where is the setting to increase the number of mappers
>>>> or is this not possible.
>>>> Thanks
>>>> Sai
>>>>
>>>
>>>
>>
>
Re: Increase the number of mappers in PM mode
Posted by YouPeng Yang <yy...@gmail.com>.
HI:
i get these interview questions by doing some googles:
Q29. How can you set an arbitary number of mappers to be created for a job
in Hadoop
This is a trick question. You cannot set it
>> The above test proves you cannot an arbitary number of mappers .
Q30. How can you set an arbitary number of reducers to be created for a job
in Hadoop
You can either do it progamatically by using method setNumReduceTasksin the
JobConfclass or set it up as a configuration setting
I test the Q30,it seems right.
my logs:
[hadoop@Hadoop01 bin]$./hadoop jar
../share/hadoop/mapreduce/hadoop-mapreduce-examples-2.0.0-cdh4.1.2.jar
wordcount -D mapreduce.job.reduces=2 -D mapreduce.jobtracker.address=
10.167.14.221:50030 /user/hadoop/yyp/input /user/hadoop/yyp/output3
===================================
Job Counters
Launched map tasks=1
Launched reduce tasks=2 -----> it actually changed .
Rack-local map tasks=1
Total time spent by all maps in occupied slots (ms)=60356
Total time spent by all reduces in occupied slots (ms)=135224
============================
regards
2013/3/14 YouPeng Yang <yy...@gmail.com>
> Hi
> the docs only have a property
> : mapreduce.input.fileinputformat.split.minsize (default value is 0)
> does it matter?
>
>
>
> 2013/3/14 Zheyi RONG <ro...@gmail.com>
>
>> Have you considered change mapred.max.split.size ?
>> As in:
>> http://stackoverflow.com/questions/9678180/change-file-split-size-in-hadoop
>>
>> Zheyi
>>
>>
>> On Thu, Mar 14, 2013 at 3:27 PM, YouPeng Yang <yy...@gmail.com>wrote:
>>
>>> Hi
>>>
>>>
>>> I have done some tests in my Pseudo Mode(CDH4.1.2)with MV2 yarn,and
>>> :
>>> According to the doc:
>>> *mapreduce.jobtracker.address :*The host and port that the MapReduce
>>> job tracker runs at. If "local", then jobs are run in-process as a single
>>> map and reduce task.
>>> *mapreduce.job.maps (default value is 2)* :The default number of map
>>> tasks per job. Ignored when mapreduce.jobtracker.address is "local".
>>>
>>> I changed the mapreduce.jobtracker.address = Hadoop:50031.
>>>
>>> And then run the wordcount examples:
>>> hadoop jar hadoop-mapreduce-examples-2.0.0-cdh4.1.2.jar wordcount
>>> input output
>>>
>>> the output logs are as follows:
>>> ....
>>> Job Counters
>>> Launched map tasks=1
>>> Launched reduce tasks=1
>>> Data-local map tasks=1
>>> Total time spent by all maps in occupied slots (ms)=60336
>>> Total time spent by all reduces in occupied slots (ms)=63264
>>> Map-Reduce Framework
>>> Map input records=5
>>> Map output records=7
>>> Map output bytes=56
>>> Map output materialized bytes=76
>>> ....
>>>
>>> i seem to does not work.
>>>
>>> I thought maybe my input file is small-just 5 records . is it right?
>>>
>>> regards
>>>
>>>
>>>
>>>
>>>
>>>
>>>
>>> 2013/3/14 Sai Sai <sa...@yahoo.in>
>>>
>>>>
>>>>
>>>> In Pseudo Mode where is the setting to increase the number of mappers
>>>> or is this not possible.
>>>> Thanks
>>>> Sai
>>>>
>>>
>>>
>>
>
Re: Increase the number of mappers in PM mode
Posted by YouPeng Yang <yy...@gmail.com>.
Hi
the docs only have a property
: mapreduce.input.fileinputformat.split.minsize (default value is 0)
does it matter?
2013/3/14 Zheyi RONG <ro...@gmail.com>
> Have you considered change mapred.max.split.size ?
> As in:
> http://stackoverflow.com/questions/9678180/change-file-split-size-in-hadoop
>
> Zheyi
>
>
> On Thu, Mar 14, 2013 at 3:27 PM, YouPeng Yang <yy...@gmail.com>wrote:
>
>> Hi
>>
>>
>> I have done some tests in my Pseudo Mode(CDH4.1.2)with MV2 yarn,and
>> :
>> According to the doc:
>> *mapreduce.jobtracker.address :*The host and port that the MapReduce
>> job tracker runs at. If "local", then jobs are run in-process as a single
>> map and reduce task.
>> *mapreduce.job.maps (default value is 2)* :The default number of map
>> tasks per job. Ignored when mapreduce.jobtracker.address is "local".
>>
>> I changed the mapreduce.jobtracker.address = Hadoop:50031.
>>
>> And then run the wordcount examples:
>> hadoop jar hadoop-mapreduce-examples-2.0.0-cdh4.1.2.jar wordcount
>> input output
>>
>> the output logs are as follows:
>> ....
>> Job Counters
>> Launched map tasks=1
>> Launched reduce tasks=1
>> Data-local map tasks=1
>> Total time spent by all maps in occupied slots (ms)=60336
>> Total time spent by all reduces in occupied slots (ms)=63264
>> Map-Reduce Framework
>> Map input records=5
>> Map output records=7
>> Map output bytes=56
>> Map output materialized bytes=76
>> ....
>>
>> i seem to does not work.
>>
>> I thought maybe my input file is small-just 5 records . is it right?
>>
>> regards
>>
>>
>>
>>
>>
>>
>>
>> 2013/3/14 Sai Sai <sa...@yahoo.in>
>>
>>>
>>>
>>> In Pseudo Mode where is the setting to increase the number of mappers
>>> or is this not possible.
>>> Thanks
>>> Sai
>>>
>>
>>
>
Re: Increase the number of mappers in PM mode
Posted by YouPeng Yang <yy...@gmail.com>.
Hi
the docs only have a property
: mapreduce.input.fileinputformat.split.minsize (default value is 0)
does it matter?
2013/3/14 Zheyi RONG <ro...@gmail.com>
> Have you considered change mapred.max.split.size ?
> As in:
> http://stackoverflow.com/questions/9678180/change-file-split-size-in-hadoop
>
> Zheyi
>
>
> On Thu, Mar 14, 2013 at 3:27 PM, YouPeng Yang <yy...@gmail.com>wrote:
>
>> Hi
>>
>>
>> I have done some tests in my Pseudo Mode(CDH4.1.2)with MV2 yarn,and
>> :
>> According to the doc:
>> *mapreduce.jobtracker.address :*The host and port that the MapReduce
>> job tracker runs at. If "local", then jobs are run in-process as a single
>> map and reduce task.
>> *mapreduce.job.maps (default value is 2)* :The default number of map
>> tasks per job. Ignored when mapreduce.jobtracker.address is "local".
>>
>> I changed the mapreduce.jobtracker.address = Hadoop:50031.
>>
>> And then run the wordcount examples:
>> hadoop jar hadoop-mapreduce-examples-2.0.0-cdh4.1.2.jar wordcount
>> input output
>>
>> the output logs are as follows:
>> ....
>> Job Counters
>> Launched map tasks=1
>> Launched reduce tasks=1
>> Data-local map tasks=1
>> Total time spent by all maps in occupied slots (ms)=60336
>> Total time spent by all reduces in occupied slots (ms)=63264
>> Map-Reduce Framework
>> Map input records=5
>> Map output records=7
>> Map output bytes=56
>> Map output materialized bytes=76
>> ....
>>
>> i seem to does not work.
>>
>> I thought maybe my input file is small-just 5 records . is it right?
>>
>> regards
>>
>>
>>
>>
>>
>>
>>
>> 2013/3/14 Sai Sai <sa...@yahoo.in>
>>
>>>
>>>
>>> In Pseudo Mode where is the setting to increase the number of mappers
>>> or is this not possible.
>>> Thanks
>>> Sai
>>>
>>
>>
>
Re: Increase the number of mappers in PM mode
Posted by YouPeng Yang <yy...@gmail.com>.
Hi
the docs only have a property
: mapreduce.input.fileinputformat.split.minsize (default value is 0)
does it matter?
2013/3/14 Zheyi RONG <ro...@gmail.com>
> Have you considered change mapred.max.split.size ?
> As in:
> http://stackoverflow.com/questions/9678180/change-file-split-size-in-hadoop
>
> Zheyi
>
>
> On Thu, Mar 14, 2013 at 3:27 PM, YouPeng Yang <yy...@gmail.com>wrote:
>
>> Hi
>>
>>
>> I have done some tests in my Pseudo Mode(CDH4.1.2)with MV2 yarn,and
>> :
>> According to the doc:
>> *mapreduce.jobtracker.address :*The host and port that the MapReduce
>> job tracker runs at. If "local", then jobs are run in-process as a single
>> map and reduce task.
>> *mapreduce.job.maps (default value is 2)* :The default number of map
>> tasks per job. Ignored when mapreduce.jobtracker.address is "local".
>>
>> I changed the mapreduce.jobtracker.address = Hadoop:50031.
>>
>> And then run the wordcount examples:
>> hadoop jar hadoop-mapreduce-examples-2.0.0-cdh4.1.2.jar wordcount
>> input output
>>
>> the output logs are as follows:
>> ....
>> Job Counters
>> Launched map tasks=1
>> Launched reduce tasks=1
>> Data-local map tasks=1
>> Total time spent by all maps in occupied slots (ms)=60336
>> Total time spent by all reduces in occupied slots (ms)=63264
>> Map-Reduce Framework
>> Map input records=5
>> Map output records=7
>> Map output bytes=56
>> Map output materialized bytes=76
>> ....
>>
>> i seem to does not work.
>>
>> I thought maybe my input file is small-just 5 records . is it right?
>>
>> regards
>>
>>
>>
>>
>>
>>
>>
>> 2013/3/14 Sai Sai <sa...@yahoo.in>
>>
>>>
>>>
>>> In Pseudo Mode where is the setting to increase the number of mappers
>>> or is this not possible.
>>> Thanks
>>> Sai
>>>
>>
>>
>
Re: Increase the number of mappers in PM mode
Posted by YouPeng Yang <yy...@gmail.com>.
Hi
the docs only have a property
: mapreduce.input.fileinputformat.split.minsize (default value is 0)
does it matter?
2013/3/14 Zheyi RONG <ro...@gmail.com>
> Have you considered change mapred.max.split.size ?
> As in:
> http://stackoverflow.com/questions/9678180/change-file-split-size-in-hadoop
>
> Zheyi
>
>
> On Thu, Mar 14, 2013 at 3:27 PM, YouPeng Yang <yy...@gmail.com>wrote:
>
>> Hi
>>
>>
>> I have done some tests in my Pseudo Mode(CDH4.1.2)with MV2 yarn,and
>> :
>> According to the doc:
>> *mapreduce.jobtracker.address :*The host and port that the MapReduce
>> job tracker runs at. If "local", then jobs are run in-process as a single
>> map and reduce task.
>> *mapreduce.job.maps (default value is 2)* :The default number of map
>> tasks per job. Ignored when mapreduce.jobtracker.address is "local".
>>
>> I changed the mapreduce.jobtracker.address = Hadoop:50031.
>>
>> And then run the wordcount examples:
>> hadoop jar hadoop-mapreduce-examples-2.0.0-cdh4.1.2.jar wordcount
>> input output
>>
>> the output logs are as follows:
>> ....
>> Job Counters
>> Launched map tasks=1
>> Launched reduce tasks=1
>> Data-local map tasks=1
>> Total time spent by all maps in occupied slots (ms)=60336
>> Total time spent by all reduces in occupied slots (ms)=63264
>> Map-Reduce Framework
>> Map input records=5
>> Map output records=7
>> Map output bytes=56
>> Map output materialized bytes=76
>> ....
>>
>> i seem to does not work.
>>
>> I thought maybe my input file is small-just 5 records . is it right?
>>
>> regards
>>
>>
>>
>>
>>
>>
>>
>> 2013/3/14 Sai Sai <sa...@yahoo.in>
>>
>>>
>>>
>>> In Pseudo Mode where is the setting to increase the number of mappers
>>> or is this not possible.
>>> Thanks
>>> Sai
>>>
>>
>>
>
Re: Increase the number of mappers in PM mode
Posted by Zheyi RONG <ro...@gmail.com>.
Have you considered change mapred.max.split.size ?
As in:
http://stackoverflow.com/questions/9678180/change-file-split-size-in-hadoop
Zheyi
On Thu, Mar 14, 2013 at 3:27 PM, YouPeng Yang <yy...@gmail.com>wrote:
> Hi
>
>
> I have done some tests in my Pseudo Mode(CDH4.1.2)with MV2 yarn,and :
> According to the doc:
> *mapreduce.jobtracker.address :*The host and port that the MapReduce
> job tracker runs at. If "local", then jobs are run in-process as a single
> map and reduce task.
> *mapreduce.job.maps (default value is 2)* :The default number of map
> tasks per job. Ignored when mapreduce.jobtracker.address is "local".
>
> I changed the mapreduce.jobtracker.address = Hadoop:50031.
>
> And then run the wordcount examples:
> hadoop jar hadoop-mapreduce-examples-2.0.0-cdh4.1.2.jar wordcount
> input output
>
> the output logs are as follows:
> ....
> Job Counters
> Launched map tasks=1
> Launched reduce tasks=1
> Data-local map tasks=1
> Total time spent by all maps in occupied slots (ms)=60336
> Total time spent by all reduces in occupied slots (ms)=63264
> Map-Reduce Framework
> Map input records=5
> Map output records=7
> Map output bytes=56
> Map output materialized bytes=76
> ....
>
> i seem to does not work.
>
> I thought maybe my input file is small-just 5 records . is it right?
>
> regards
>
>
>
>
>
>
>
> 2013/3/14 Sai Sai <sa...@yahoo.in>
>
>>
>>
>> In Pseudo Mode where is the setting to increase the number of mappers or
>> is this not possible.
>> Thanks
>> Sai
>>
>
>
Re: Increase the number of mappers in PM mode
Posted by Zheyi RONG <ro...@gmail.com>.
Have you considered change mapred.max.split.size ?
As in:
http://stackoverflow.com/questions/9678180/change-file-split-size-in-hadoop
Zheyi
On Thu, Mar 14, 2013 at 3:27 PM, YouPeng Yang <yy...@gmail.com>wrote:
> Hi
>
>
> I have done some tests in my Pseudo Mode(CDH4.1.2)with MV2 yarn,and :
> According to the doc:
> *mapreduce.jobtracker.address :*The host and port that the MapReduce
> job tracker runs at. If "local", then jobs are run in-process as a single
> map and reduce task.
> *mapreduce.job.maps (default value is 2)* :The default number of map
> tasks per job. Ignored when mapreduce.jobtracker.address is "local".
>
> I changed the mapreduce.jobtracker.address = Hadoop:50031.
>
> And then run the wordcount examples:
> hadoop jar hadoop-mapreduce-examples-2.0.0-cdh4.1.2.jar wordcount
> input output
>
> the output logs are as follows:
> ....
> Job Counters
> Launched map tasks=1
> Launched reduce tasks=1
> Data-local map tasks=1
> Total time spent by all maps in occupied slots (ms)=60336
> Total time spent by all reduces in occupied slots (ms)=63264
> Map-Reduce Framework
> Map input records=5
> Map output records=7
> Map output bytes=56
> Map output materialized bytes=76
> ....
>
> i seem to does not work.
>
> I thought maybe my input file is small-just 5 records . is it right?
>
> regards
>
>
>
>
>
>
>
> 2013/3/14 Sai Sai <sa...@yahoo.in>
>
>>
>>
>> In Pseudo Mode where is the setting to increase the number of mappers or
>> is this not possible.
>> Thanks
>> Sai
>>
>
>
Re: Increase the number of mappers in PM mode
Posted by Zheyi RONG <ro...@gmail.com>.
Have you considered change mapred.max.split.size ?
As in:
http://stackoverflow.com/questions/9678180/change-file-split-size-in-hadoop
Zheyi
On Thu, Mar 14, 2013 at 3:27 PM, YouPeng Yang <yy...@gmail.com>wrote:
> Hi
>
>
> I have done some tests in my Pseudo Mode(CDH4.1.2)with MV2 yarn,and :
> According to the doc:
> *mapreduce.jobtracker.address :*The host and port that the MapReduce
> job tracker runs at. If "local", then jobs are run in-process as a single
> map and reduce task.
> *mapreduce.job.maps (default value is 2)* :The default number of map
> tasks per job. Ignored when mapreduce.jobtracker.address is "local".
>
> I changed the mapreduce.jobtracker.address = Hadoop:50031.
>
> And then run the wordcount examples:
> hadoop jar hadoop-mapreduce-examples-2.0.0-cdh4.1.2.jar wordcount
> input output
>
> the output logs are as follows:
> ....
> Job Counters
> Launched map tasks=1
> Launched reduce tasks=1
> Data-local map tasks=1
> Total time spent by all maps in occupied slots (ms)=60336
> Total time spent by all reduces in occupied slots (ms)=63264
> Map-Reduce Framework
> Map input records=5
> Map output records=7
> Map output bytes=56
> Map output materialized bytes=76
> ....
>
> i seem to does not work.
>
> I thought maybe my input file is small-just 5 records . is it right?
>
> regards
>
>
>
>
>
>
>
> 2013/3/14 Sai Sai <sa...@yahoo.in>
>
>>
>>
>> In Pseudo Mode where is the setting to increase the number of mappers or
>> is this not possible.
>> Thanks
>> Sai
>>
>
>
Re: Increase the number of mappers in PM mode
Posted by Zheyi RONG <ro...@gmail.com>.
Have you considered change mapred.max.split.size ?
As in:
http://stackoverflow.com/questions/9678180/change-file-split-size-in-hadoop
Zheyi
On Thu, Mar 14, 2013 at 3:27 PM, YouPeng Yang <yy...@gmail.com>wrote:
> Hi
>
>
> I have done some tests in my Pseudo Mode(CDH4.1.2)with MV2 yarn,and :
> According to the doc:
> *mapreduce.jobtracker.address :*The host and port that the MapReduce
> job tracker runs at. If "local", then jobs are run in-process as a single
> map and reduce task.
> *mapreduce.job.maps (default value is 2)* :The default number of map
> tasks per job. Ignored when mapreduce.jobtracker.address is "local".
>
> I changed the mapreduce.jobtracker.address = Hadoop:50031.
>
> And then run the wordcount examples:
> hadoop jar hadoop-mapreduce-examples-2.0.0-cdh4.1.2.jar wordcount
> input output
>
> the output logs are as follows:
> ....
> Job Counters
> Launched map tasks=1
> Launched reduce tasks=1
> Data-local map tasks=1
> Total time spent by all maps in occupied slots (ms)=60336
> Total time spent by all reduces in occupied slots (ms)=63264
> Map-Reduce Framework
> Map input records=5
> Map output records=7
> Map output bytes=56
> Map output materialized bytes=76
> ....
>
> i seem to does not work.
>
> I thought maybe my input file is small-just 5 records . is it right?
>
> regards
>
>
>
>
>
>
>
> 2013/3/14 Sai Sai <sa...@yahoo.in>
>
>>
>>
>> In Pseudo Mode where is the setting to increase the number of mappers or
>> is this not possible.
>> Thanks
>> Sai
>>
>
>
Re: Increase the number of mappers in PM mode
Posted by YouPeng Yang <yy...@gmail.com>.
Hi
I have done some tests in my Pseudo Mode(CDH4.1.2)with MV2 yarn,and :
According to the doc:
*mapreduce.jobtracker.address :*The host and port that the MapReduce job
tracker runs at. If "local", then jobs are run in-process as a single map
and reduce task.
*mapreduce.job.maps (default value is 2)* :The default number of map
tasks per job. Ignored when mapreduce.jobtracker.address is "local".
I changed the mapreduce.jobtracker.address = Hadoop:50031.
And then run the wordcount examples:
hadoop jar hadoop-mapreduce-examples-2.0.0-cdh4.1.2.jar wordcount
input output
the output logs are as follows:
....
Job Counters
Launched map tasks=1
Launched reduce tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=60336
Total time spent by all reduces in occupied slots (ms)=63264
Map-Reduce Framework
Map input records=5
Map output records=7
Map output bytes=56
Map output materialized bytes=76
....
i seem to does not work.
I thought maybe my input file is small-just 5 records . is it right?
regards
2013/3/14 Sai Sai <sa...@yahoo.in>
>
>
> In Pseudo Mode where is the setting to increase the number of mappers or
> is this not possible.
> Thanks
> Sai
>
Re: Increase the number of mappers in PM mode
Posted by YouPeng Yang <yy...@gmail.com>.
Hi
I have done some tests in my Pseudo Mode(CDH4.1.2)with MV2 yarn,and :
According to the doc:
*mapreduce.jobtracker.address :*The host and port that the MapReduce job
tracker runs at. If "local", then jobs are run in-process as a single map
and reduce task.
*mapreduce.job.maps (default value is 2)* :The default number of map
tasks per job. Ignored when mapreduce.jobtracker.address is "local".
I changed the mapreduce.jobtracker.address = Hadoop:50031.
And then run the wordcount examples:
hadoop jar hadoop-mapreduce-examples-2.0.0-cdh4.1.2.jar wordcount
input output
the output logs are as follows:
....
Job Counters
Launched map tasks=1
Launched reduce tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=60336
Total time spent by all reduces in occupied slots (ms)=63264
Map-Reduce Framework
Map input records=5
Map output records=7
Map output bytes=56
Map output materialized bytes=76
....
i seem to does not work.
I thought maybe my input file is small-just 5 records . is it right?
regards
2013/3/14 Sai Sai <sa...@yahoo.in>
>
>
> In Pseudo Mode where is the setting to increase the number of mappers or
> is this not possible.
> Thanks
> Sai
>
Re: Increase the number of mappers in PM mode
Posted by YouPeng Yang <yy...@gmail.com>.
Hi
I have done some tests in my Pseudo Mode(CDH4.1.2)with MV2 yarn,and :
According to the doc:
*mapreduce.jobtracker.address :*The host and port that the MapReduce job
tracker runs at. If "local", then jobs are run in-process as a single map
and reduce task.
*mapreduce.job.maps (default value is 2)* :The default number of map
tasks per job. Ignored when mapreduce.jobtracker.address is "local".
I changed the mapreduce.jobtracker.address = Hadoop:50031.
And then run the wordcount examples:
hadoop jar hadoop-mapreduce-examples-2.0.0-cdh4.1.2.jar wordcount
input output
the output logs are as follows:
....
Job Counters
Launched map tasks=1
Launched reduce tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=60336
Total time spent by all reduces in occupied slots (ms)=63264
Map-Reduce Framework
Map input records=5
Map output records=7
Map output bytes=56
Map output materialized bytes=76
....
i seem to does not work.
I thought maybe my input file is small-just 5 records . is it right?
regards
2013/3/14 Sai Sai <sa...@yahoo.in>
>
>
> In Pseudo Mode where is the setting to increase the number of mappers or
> is this not possible.
> Thanks
> Sai
>
Re: Increase the number of mappers in PM mode
Posted by YouPeng Yang <yy...@gmail.com>.
Hi
I have done some tests in my Pseudo Mode(CDH4.1.2)with MV2 yarn,and :
According to the doc:
*mapreduce.jobtracker.address :*The host and port that the MapReduce job
tracker runs at. If "local", then jobs are run in-process as a single map
and reduce task.
*mapreduce.job.maps (default value is 2)* :The default number of map
tasks per job. Ignored when mapreduce.jobtracker.address is "local".
I changed the mapreduce.jobtracker.address = Hadoop:50031.
And then run the wordcount examples:
hadoop jar hadoop-mapreduce-examples-2.0.0-cdh4.1.2.jar wordcount
input output
the output logs are as follows:
....
Job Counters
Launched map tasks=1
Launched reduce tasks=1
Data-local map tasks=1
Total time spent by all maps in occupied slots (ms)=60336
Total time spent by all reduces in occupied slots (ms)=63264
Map-Reduce Framework
Map input records=5
Map output records=7
Map output bytes=56
Map output materialized bytes=76
....
i seem to does not work.
I thought maybe my input file is small-just 5 records . is it right?
regards
2013/3/14 Sai Sai <sa...@yahoo.in>
>
>
> In Pseudo Mode where is the setting to increase the number of mappers or
> is this not possible.
> Thanks
> Sai
>
Re: Increase the number of mappers in PM mode
Posted by Sai Sai <sa...@yahoo.in>.
In Pseudo Mode where is the setting to increase the number of mappers or is this not possible.
Thanks
Sai
Re: Increase the number of mappers in PM mode
Posted by Sai Sai <sa...@yahoo.in>.
In Pseudo Mode where is the setting to increase the number of mappers or is this not possible.
Thanks
Sai
Re: Increase the number of mappers in PM mode
Posted by Sai Sai <sa...@yahoo.in>.
In Pseudo Mode where is the setting to increase the number of mappers or is this not possible.
Thanks
Sai
Re: Increase the number of mappers in PM mode
Posted by Sai Sai <sa...@yahoo.in>.
In Pseudo Mode where is the setting to increase the number of mappers or is this not possible.
Thanks
Sai