Hi, The rationale is that I have a mapred job that adds new records to an hbase table, constantly. The next mapred job selects these new records, but it must iterate over all records and check if it is a candidate for selection. Since there are too many old records iterating though them in a cluster of 2 nodes +1 master takes about 2 days. So I thought, splitting them into two tables must reduce this time, and as soon as I figure out that there is no more new record left in one of the new tables I will not run mapred job on it.
Currently, we have 7 regions including ROOT and META. Thanks. Alex. -----Original Message----- From: Ted Yu <yuzhih...@gmail.com> To: user <user@hbase.apache.org> Sent: Fri, Feb 8, 2013 10:40 am Subject: Re: split table data into two or more tables May I ask the rationale behind this ? Were you aiming for higher write throughput ? Please also tell us how many regions you have in the current table. Thanks BTW please consider upgrading to 0.94.4 On Fri, Feb 8, 2013 at 10:36 AM, <alx...@aim.com> wrote: > Hello, > > I wondered if there is a way of splitting data from one table into two or > more tables in hbase with iidentical schemas, i.e. if table A has 100M > records put 50M into table B, 50M into table C and delete table A. > Currently, I use hbase-0.92.1 and hadoop-1.4.0 > > Thanks. > Alex. >
