RE: Theoretical question...

2010-04-30 Thread Andrew Purtell
have two issues for discussion. One is getting around the >lack of security and permissions within HBase, the other is virtualization. > >Both are interesting areas for discussion. > >Thx > >-Mike > >> Date: Thu, 29 Apr 2010 18:09:35 -0700 >> From: apurt...@apac

RE: Theoretical question...

2010-04-30 Thread Michael Segel
0 18:09:35 -0700 > From: apurt...@apache.org > Subject: Re: Theoretical question... > To: hbase-user@hadoop.apache.org > > > From: Michael Segel > > > Imagine you have a cloud of 100 hadoop nodes. > > In theory you could create multiple instances of HBase on > >

Re: Theoretical question...

2010-04-29 Thread Andrew Purtell
> From: Michael Segel > Imagine you have a cloud of 100 hadoop nodes. > In theory you could create multiple instances of HBase on > the cloud. > Obviously I don't think you could have multiple region > servers running on the same node. > The use case I was thinking about if you have a centralized

Re: Theoretical question...

2010-04-29 Thread Amandeep Khurana
Theoretically its possible. But as Edward pointed out, resource management and configuration becomes tricky. Also, when you run Map-Reduce jobs over tables in the HBase instances, you wont leverage locality since your data would not be distributed over the entire cluster (assuming that you run task

Re: Theoretical question...

2010-04-29 Thread Edward Capriolo
On Thu, Apr 29, 2010 at 4:31 PM, Michael Segel wrote: > > Imagine you have a cloud of 100 hadoop nodes. > In theory you could create multiple instances of HBase on the cloud. > Obviously I don't think you could have multiple region servers running on > the same node. > > The use case I was thinkin

Theoretical question...

2010-04-29 Thread Michael Segel
Imagine you have a cloud of 100 hadoop nodes. In theory you could create multiple instances of HBase on the cloud. Obviously I don't think you could have multiple region servers running on the same node. The use case I was thinking about if you have a centralized hadoop cloud and you wanted to