Hmmm. I'm not sure about this.. How do i check Jean?
On Thu, Aug 22, 2013 at 9:12 PM, Jean-Marc Spaggiari < jean-m...@spaggiari.org> wrote: > And size of the rows... can you load the 1m rows table in memory? > Le 2013-08-22 11:41, "Pavan Sudheendra" <pavan0...@gmail.com> a écrit : > > > scan.setCaching(500); > > > > I really don't understand this purpose though.. > > > > > > On Thu, Aug 22, 2013 at 9:09 PM, Kevin O'dell <kevin.od...@cloudera.com > > >wrote: > > > > > QQ what is your caching set to? > > > On Aug 22, 2013 11:25 AM, "Pavan Sudheendra" <pavan0...@gmail.com> > > wrote: > > > > > > > Hi all, > > > > > > > > A serious question.. I know this isn't one of the best hbase > practices > > > but > > > > I really want to know.. > > > > > > > > I am doing a join across 3 table in hbase.. One table contain 19m > > > records, > > > > one contains 2m and another contains 1m records. > > > > > > > > I'm doing this inside the mapper function.. I know this can be done > > with > > > > pig and hive etc. Leaving the specifics out, how long would experts > > think > > > > it would take for the mapper to finish aggregating them across a 6 > node > > > > cluster.. One is the job tracker and 5 are task trackers.. By the > time > > I > > > > see the map reduce job status for input records reach 600,000 it's > > taking > > > > an hour.. It can't be right.. > > > > > > > > Any tips? Please help. > > > > > > > > Thanks. > > > > > > > > -- > > > > Regards- > > > > Pavan > > > > > > > > > > > > > > > -- > > Regards- > > Pavan > > > -- Regards- Pavan
