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MapReduce >> mail # user >> Re: Need your help with Hadoop

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Re: Need your help with Hadoop

The settings property is "dfs.data.dir" (or "dfs.datanode.data.dir") and
its present in the hdfs-site.xml file at each DataNode, under
$HADOOP_HOME/conf/ directories usually. Look for asymmetrical configs among
various DNs for that property.
On Tue, Mar 19, 2013 at 9:09 PM, 姚吉龙 <[EMAIL PROTECTED]> wrote:

> Thank for your reply.
> I am wondering  which parameters defines the capacity of datanode,or the
> way to calculate the capacity. I have considered the your answer before, I
> do not know how to modify the settings.
>  Besides, from my point, the capacity will be related with the disk volume
> which means that the capacity will be defined by the disk mounted on file
> system of Hadoop user's temp directory. While I can't find the detailed
> instructions about this.
> Why the capacity of others nodes is about 50G?
> These bothers me a lot.
> BRs
> Geelong
> 2013/3/19 Harsh J <[EMAIL PROTECTED]>
>> You'd probably want to recheck your configuration of dfs.data.dir on the
>> node16 (perhaps its overriding the usual default), to see if it is perhaps
>> including more dirs than normal (and they may be all on the same disks as
>> well, the DN counts space via du/df on each directory so the number can
>> grow that way).
>> Also, please direct usage questions to [EMAIL PROTECTED] community,
>> which I've included in my response :)
>> On Tue, Mar 19, 2013 at 5:40 PM, 姚吉龙 <[EMAIL PROTECTED]> wrote:
>>> Hi
>>> I am a newer for the Hadoop platform, I really need your help.
>>> Now we have 32 datanodes available, while we find that the Configured
>>> Capacity is different among these datanodes though the hardware is the same.
>>> I wonder the reson why the node16 is much bigger than the others,
>>> besides which is main factor or directory that determine the capacity for
>>> each datanode.
>>> I wiil apprecite your kindly help, this problem has been puzzled me for
>>> a long time.
>>> BRs
>>> Geelong
>>> --
>>> From Good To Great
>> --
>> Harsh J
> --
> From Good To Great

Harsh J