ways to handle this 1) create separate job queues for hive and hbase users on jt and allocate resources according to your needs 2) you can not actually limit how many maps can be launched as its decided on run time by looking at split size. If you want less number of maps to be launched then increase split size...also keep in mind you will need larger memory for maps On Dec 7, 2012 2:32 PM, "Philips Kokoh Prasetyo" <[email protected]> wrote:
> Hi everyone, > > My cluster also runs HBase for real time processing. Hive query (on a big > table) occupies all the map tasks so that the other service cannot run > properly. > Does anyone know how to limit the number of running map in hive? > I see mapred.reduce.tasks in the configuration properties, but I don't see > the configuration for mapper. > > Thank you. > > Regards, > Philips >
