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MapReduce >> mail # user >> [Hadoop-Help]About Map-Reduce implementation


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Mayur Patil 2013-02-05, 21:31
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Mayur Patil 2013-02-05, 21:36
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Jagat Singh 2013-02-05, 21:42
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Mayur Patil 2013-02-06, 11:26
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Nitin Pawar 2013-02-06, 13:04
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Mayur Patil 2013-02-14, 09:39
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Re: [Hadoop-Help]About Map-Reduce implementation
Hi mayur,

Flume is used for data collection. Pig is used for data processing.
For eg, if you have a bunch of servers that you want to collect the
logs from and push to HDFS - you would use flume. Now if you need to
run some analysis on that data, you could use pig to do that.

Sent from my iPhone

On Feb 14, 2013, at 1:39 AM, Mayur Patil <[EMAIL PROTECTED]> wrote:

> Hello,
>
>   I just read about Pig
>
>> Pig
>> A data flow language and execution environment for exploring very
> large datasets.
>> Pig runs on HDFS and MapReduce clusters.
>
>   What the actual difference between Pig and Flume makes in logs clustering??
>
>   Thank you !!
> --
> Cheers,
> Mayur.
>
>
>
>
>> Thanks to you duo. You solved my problem so easily. I want to
>>
>> ask one more question; for reference. I have
>>
>> 1. hadoop the definitive guide
>> 2. Hadoop In Action
>>
>> Is it sufficient or do I need some more material to study
>>
>> your suggested implementation??
>> *
>> --
>> Cheers,
>> Mayur*
>>
>> Hey Mayur,
>>>
>>> If you are collecting logs from multiple servers then you can use flume
>>> for the same.
>>>
>>> if the contents of the logs are different in format  then you can just
>>> use
>>> textfileinput format to read and write into any other format you want for
>>> your processing in later part of your projects
>>>
>>> first thing you need to learn is how to setup hadoop
>>> then you can try writing sample hadoop mapreduce jobs to read from text
>>> file and then process them and write the results into another file
>>> then you can integrate flume as your log collection mechanism
>>> once you get hold on the system then you can decide more on which paths
>>> you want to follow based on your requirements for storage, compute time,
>>> compute capacity, compression etc
>>>
>> --------------
>> --------------
>>
>>> Hi,
>>>
>>> Please read basics on how hadoop works.
>>>
>>> Then start your hands on with map reduce coding.
>>>
>>> The tool which has been made for you is flume , but don't see tool till
>>> you complete above two steps.
>>>
>>> Good luck , keep us posted.
>>>
>>> Regards,
>>>
>>> Jagat Singh
>>>
>>> -----------
>>> Sent from Mobile , short and crisp.
>>> On 06-Feb-2013 8:32 AM, "Mayur Patil" <[EMAIL PROTECTED]> wrote:
>>>
>>>> Hello,
>>>>
>>>>    I am new to Hadoop. I am doing a project in cloud in which I
>>>>
>>>>    have to use hadoop for Map-reduce. It is such that I am going
>>>>
>>>>    to collect logs from 2-3 machines having different locations.
>>>>
>>>>    The logs are also in different formats such as .rtf .log .txt
>>>>
>>>>    Later, I have to collect and convert them to one format and
>>>>
>>>>    collect to one location.
>>>>
>>>>    So I am asking which module of Hadoop that I need to study
>>>>
>>>>    for this implementation?? Or whole framework should I need
>>>>
>>>>    to study ??
>>>>
>>>>    Seeking for guidance,
>>>>
>>>>    Thank you !!
>>>> --
>>>> *Cheers,*
>>>> *Mayur.*
>>>>
>>>
>>
>
>
> --
> *Cheers,
> Mayur*.
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Mayur Patil 2013-03-04, 07:20
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Mayur Patil 2013-03-08, 01:45
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Jean-Marc Spaggiari 2013-03-08, 03:00
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Nitin Pawar 2013-02-05, 21:39
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Mayur Patil 2013-03-09, 15:59
NEW: Monitor These Apps!
elasticsearch, apache solr, apache hbase, hadoop, redis, casssandra, amazon cloudwatch, mysql, memcached, apache kafka, apache zookeeper, apache storm, ubuntu, centOS, red hat, debian, puppet labs, java, senseiDB