Yes hbase.hregion.max.filesize was set to default 256MB and it was too low.
2012/9/5 Jean-Marc Spaggiari <jean-m...@spaggiari.org>: > But I think you should also look at why we have so many regions... > Because even if you merge them manually now, you might face the same > issu soon. > > 2012/9/5, n keywal <nkey...@gmail.com>: >> 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 >>> >> -- language: Chinese, Japanese, English
