You should probably think about this in a more cluster fashion. A single node with a PB of data is probably not a good allocation of CPU : Disk ration. In addition, you need enough RAM on your NameNode to keep track of all of your blocks. A few nodes with a PB each would quickly drive up NN RAM requirements.
As others have mentioned, the local file system that HDFS sits on top of may have limits. We're going to use EXT4 which should handle that much, but it's probably still not a good idea. If you're just thinking of storing lots of data, you might consider GlusterFS instead. I highly recommend RedHat over Ubuntu. Hope that helps. On Wed, Jan 30, 2013 at 5:40 AM, jeba earnest <jebaearn...@yahoo.com> wrote: > > I want to use either UBUNTU or REDHAT . > I just want to know how much storage space we can allocate in a single > data node. > > Is there any limitations in hadoop for storage in single node? > > > > Regards, > Jeba > ------------------------------ > *From:* "Pamecha, Abhishek" <apame...@ebay.com> > *To:* "user@hadoop.apache.org" <user@hadoop.apache.org>; jeba earnest < > jebaearn...@yahoo.com> > *Sent:* Wednesday, 30 January 2013 2:45 PM > *Subject:* Re: Maximum Storage size in a Single datanode > > What would be the reason you would do that? > > You would want to leverage distributed dataset for higher availability > and better response times. > > The maximum storage depends completely on the disks capacity of your > nodes and what your OS supports. Typically I have heard of about 1-2 > TB/node to start with, but I may be wrong. > -abhishek > > > From: jeba earnest <jebaearn...@yahoo.com> > Reply-To: "user@hadoop.apache.org" <user@hadoop.apache.org>, jeba earnest > <jebaearn...@yahoo.com> > Date: Wednesday, January 30, 2013 1:38 PM > To: "user@hadoop.apache.org" <user@hadoop.apache.org> > Subject: Maximum Storage size in a Single datanode > > > Hi, > > > Is it possible to keep 1 Petabyte in a single data node? > If not, How much is the maximum storage for a particular data node? > > Regards, > M. Jeba > > >
