Hi Varun, I tried to increase this parameter but it did not increase number of parallel tasks but if It is decreased then YARN reduces number of parallel tasks. I'm bit puzzled why its not increasing more than 31 tasks even after its value is increased.
Is there any other configuration as well which controls on how many maximum tasks can execute in parallel? Regards, Sandeep On Tue, Nov 3, 2015 at 7:29 PM, Varun Vasudev <vvasu...@apache.org> wrote: > The number of parallel tasks that are run depends on the amount of memory > and vcores on your machines and the amount of memory and vcores required by > your mappers and reducers. The amount of memory can be set > via yarn.nodemanager.resource.memory-mb(the default is 8G). The amount of > vcores can be set via yarn.nodemanager.resource.cpu-vcores(the default is > 8 vcores). > > -Varun > > From: sandeep das <yarnhad...@gmail.com> > Reply-To: <user@hadoop.apache.org> > Date: Monday, November 2, 2015 at 3:56 PM > To: <user@hadoop.apache.org> > Subject: Max Parallel task executors > > Hi Team, > > I've a cloudera cluster of 4 nodes. Whenever i submit a job my only 31 > parallel tasks are executed whereas my machines have more CPU available but > still YARN/AM does not create more task. > > Is there any configuration which I can change to start more MAP/REDUCER > task in parallel? > > Each machine in my cluster has 24 CPUs. > > Regards, > Sandeep >
