Hi, With 8 regionservers, yes, you can. Target a few hundreds by default imho.
N. On Wed, Sep 5, 2012 at 4:55 AM, 某因幡 <tewil...@gmail.com> wrote: > +HBase users. > > > ---------- Forwarded message ---------- > From: Dmitriy Ryaboy <dvrya...@gmail.com> > Date: 2012/9/4 > Subject: Re: Extremely slow when loading small amount of data from HBase > To: "u...@pig.apache.org" <u...@pig.apache.org> > > > I think the hbase folks recommend something like 40 regions per node > per table, but I might be misremembering something. Have you tried > emailing the hbase users list? > > On Sep 4, 2012, at 3:39 AM, 某因幡 <tewil...@gmail.com> wrote: > > > After merging ~8000 regions to ~4000 on an 8-node cluster the things > > is getting better. > > Should I continue merging? > > > > > > 2012/8/29 Dmitriy Ryaboy <dvrya...@gmail.com>: > >> Can you try the same scans with a regular hbase mapreduce job? If you > see the same problem, it's an hbase issue. Otherwise, we need to see the > script and some facts about your table (how many regions, how many rows, > how big a cluster, is the small range all on one region server, etc) > >> > >> On Aug 27, 2012, at 11:49 PM, 某因幡 <tewil...@gmail.com> wrote: > >> > >>> When I load a range of data from HBase simply using row key range in > >>> HBaseStorageHandler, I find that the speed is acceptable when I'm > >>> trying to load some tens of millions rows or more, while the only map > >>> ends up in a timeout when it's some thousands of rows. > >>> What is going wrong here? Tried both Pig-0.9.2 and Pig-0.10.0. > >>> > >>> > >>> -- > >>> language: Chinese, Japanese, English > > > > > > > > -- > > language: Chinese, Japanese, English > > > -- > language: Chinese, Japanese, English >
