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Hadoop >> mail # user >> Copy Vs DistCP


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Re: Copy Vs DistCP
CP command is not parallel, It's just call FileSystem, even if DFSClient
has multi threads.

DistCp can work well on the same cluster.
On Thu, Apr 11, 2013 at 8:17 AM, KayVajj <[EMAIL PROTECTED]> wrote:

> The File System Copy utility copies files byte by byte if I'm not wrong.
> Could it be possible that the cp command works with blocks and moves them
> which could be significantly efficient?
>
>
> Also how does the cp command work if the file is distributed on different
> data nodes??
>
> Thanks
> Kay
>
>
> On Wed, Apr 10, 2013 at 4:48 PM, Jay Vyas <[EMAIL PROTECTED]> wrote:
>
>> DistCP is a full blown mapreduce job (mapper only, where the mappers do a
>> "fully" parallel copy to the detsination).
>>
>> CP appears (correct me if im wrong) to simply invoke the FileSystem and
>> issues a copy command for every source file.
>>
>> I have an additional question: how is CP which is internal to a cluster
>> optimized (if at all) ?
>>
>>
>>
>> On Wed, Apr 10, 2013 at 7:28 PM, 麦树荣 <[EMAIL PROTECTED]> wrote:
>>
>>> **
>>> Hi,
>>>
>>> I think it' better using Copy in the same cluster while using distCP
>>> between clusters, and cp command is a hadoop internal parallel process and
>>> will not copy files locally.
>>>
>>> ------------------------------
>>>  麦树荣
>>>
>>>  *From:* KayVajj <[EMAIL PROTECTED]>
>>> *Date:* 2013-04-11 06:20
>>> *To:* [EMAIL PROTECTED]
>>> *Subject:* Copy Vs DistCP
>>>       I have few questions regarding the usage of DistCP for copying
>>> files in the same cluster.
>>>
>>>
>>> 1) Which one is better within a  same cluster and what factors (like
>>> file size etc) wouldinfluence the usage of one over te other?
>>>
>>>  2) when we run a cp command like below from a  client node of the
>>> cluster (not a data node), How does the cp command work
>>>       i) like an MR job
>>>      ii) copy files locally and then it copy it back at the new location.
>>>
>>>  Example of the copy command
>>>
>>>  hdfs dfs -cp /<some_location>/file /<new_location>/
>>>
>>>  Thanks, your responses are appreciated.
>>>
>>>  -- Kay
>>>
>>
>>
>>
>> --
>> Jay Vyas
>> http://jayunit100.blogspot.com
>>
>
>
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