I haven't done bulk loads using the importtsv tool, but I imagine it works similarly to the mapreduce bulk load tool we are provided. If so, the following stands.
In order to do a bulk load you need to have a table ready to accept the data. The bulk load does not create regions, but only puts data into the right place based on existing regions. Since you only have 1 region to start with, it makes sense that they would all go to that one region. You should find a way to calculate the regions that you want and create your table with pre-created regions. Then re-run the import. On Thu, May 10, 2012 at 10:50 PM, Bruce Bian <weidong....@gmail.com> wrote: > I use importtsv to load data as HFile > > hadoop jar hbase-0.92.1.jar importtsv > -Dimporttsv.bulk.output=/outputs/mytable.bulk > -Dimporttsv.columns=HBASE_ROW_KEY,ns: -Dimporttsv.separator=, mytable > /input > > Then I use completebulkload to load those bulk data into my table > > hadoop jar hbase-0.92.1.jar completebulkload /outputs/mytable.bulk mytable > > However, the size of table is very huge (4.x GB). And it has only one > region. Oddly, why doesn't HBase split it into multiple regions? It did > exceed the size to split (256MB). > > /hbase/mytable/71611409ea972a65b0876f953ad6377e/ns: > > [image: enter image description here] > > To split it, I try to use Split button on the Web UI of HBase. Sadly, it > shows > > org.apache.hadoop.hbase.regionserver.CompactSplitThread: Region > mytable,,1334215360439.71611409ea972a65b0876f953ad6377e. not > splittable because midkey=null > > I have more data to load. About 300GB, no matter how many data I have > loaded, it is still only one region. Also, it is still not splittable. Any > idea? >
