RE: Spark Streaming: limit number of nodes
Ok so you are running Spark in a Standalone Mode then Then for every Worker process on every node (you can run more than one Worker per node) you will have an Executor waiting for jobs …. As far as I am concerned I think there are only two ways to achieve what you need: 1. Simply shutdown the spark worker processes / demons on the nodes you want to keep free from spark workloads OR run two separate Spark clusters one with e.g. 2 workers and one with e..g 5 workers – small jobs go to cluster 1 and big jobs to cluster 2 2. Try to set spark.executor.cores BUT that limits the number of cores per Executor rather than the total cores for the job and hence will probably not yield the effect you need From: Wojciech Pituła [mailto:w.pit...@gmail.com] Sent: Wednesday, June 24, 2015 10:49 AM To: Evo Eftimov; user@spark.apache.org Subject: Re: Spark Streaming: limit number of nodes Ok, thanks. I have 1 worker process on each machine but I would like to run my app on only 3 of them. Is it possible? śr., 24.06.2015 o 11:44 użytkownik Evo Eftimov napisał: There is no direct one to one mapping between Executor and Node Executor is simply the spark framework term for JVM instance with some spark framework system code running in it A node is a physical server machine You can have more than one JVM per node And vice versa you can have Nodes without any JVM running on them. How? BY specifying the number of executors to be less than the number of nodes So if you specify number of executors to be 1 and you have 5 nodes, ONE executor will run on only one of them The above is valid for Spark on YARN For spark in standalone mode the number of executors is equal to the number of spark worker processes (daemons) running on each node From: Wojciech Pituła [mailto:w.pit...@gmail.com] Sent: Tuesday, June 23, 2015 12:38 PM To: user@spark.apache.org Subject: Spark Streaming: limit number of nodes I have set up small standalone cluster: 5 nodes, every node has 5GB of memory an 8 cores. As you can see, node doesn't have much RAM. I have 2 streaming apps, first one is configured to use 3GB of memory per node and second one uses 2GB per node. My problem is, that smaller app could easily run on 2 or 3 nodes, instead of 5 so I could lanuch third app. Is it possible to limit number of nodes(executors) that app wil get from standalone cluster?
Re: Spark Streaming: limit number of nodes
Ok, thanks. I have 1 worker process on each machine but I would like to run my app on only 3 of them. Is it possible? śr., 24.06.2015 o 11:44 użytkownik Evo Eftimov napisał: > There is no direct one to one mapping between Executor and Node > > > > Executor is simply the spark framework term for JVM instance with some > spark framework system code running in it > > > > A node is a physical server machine > > > > You can have more than one JVM per node > > > > And vice versa you can have Nodes without any JVM running on them. How? BY > specifying the number of executors to be less than the number of nodes > > > > So if you specify number of executors to be 1 and you have 5 nodes, ONE > executor will run on only one of them > > > > The above is valid for Spark on YARN > > > > For spark in standalone mode the number of executors is equal to the > number of spark worker processes (daemons) running on each node > > > > *From:* Wojciech Pituła [mailto:w.pit...@gmail.com] > *Sent:* Tuesday, June 23, 2015 12:38 PM > *To:* user@spark.apache.org > *Subject:* Spark Streaming: limit number of nodes > > > > I have set up small standalone cluster: 5 nodes, every node has 5GB of > memory an 8 cores. As you can see, node doesn't have much RAM. > > > > I have 2 streaming apps, first one is configured to use 3GB of memory per > node and second one uses 2GB per node. > > > > My problem is, that smaller app could easily run on 2 or 3 nodes, instead > of 5 so I could lanuch third app. > > > > Is it possible to limit number of nodes(executors) that app wil get from > standalone cluster? >
RE: Spark Streaming: limit number of nodes
There is no direct one to one mapping between Executor and Node Executor is simply the spark framework term for JVM instance with some spark framework system code running in it A node is a physical server machine You can have more than one JVM per node And vice versa you can have Nodes without any JVM running on them. How? BY specifying the number of executors to be less than the number of nodes So if you specify number of executors to be 1 and you have 5 nodes, ONE executor will run on only one of them The above is valid for Spark on YARN For spark in standalone mode the number of executors is equal to the number of spark worker processes (daemons) running on each node From: Wojciech Pituła [mailto:w.pit...@gmail.com] Sent: Tuesday, June 23, 2015 12:38 PM To: user@spark.apache.org Subject: Spark Streaming: limit number of nodes I have set up small standalone cluster: 5 nodes, every node has 5GB of memory an 8 cores. As you can see, node doesn't have much RAM. I have 2 streaming apps, first one is configured to use 3GB of memory per node and second one uses 2GB per node. My problem is, that smaller app could easily run on 2 or 3 nodes, instead of 5 so I could lanuch third app. Is it possible to limit number of nodes(executors) that app wil get from standalone cluster?
Re: Spark Streaming: limit number of nodes
I can not. I've already limited the number of cores to 10, so it gets 5 executors with 2 cores each... wt., 23.06.2015 o 13:45 użytkownik Akhil Das napisał: > Use *spark.cores.max* to limit the CPU per job, then you can easily > accommodate your third job also. > > Thanks > Best Regards > > On Tue, Jun 23, 2015 at 5:07 PM, Wojciech Pituła > wrote: > >> I have set up small standalone cluster: 5 nodes, every node has 5GB of >> memory an 8 cores. As you can see, node doesn't have much RAM. >> >> I have 2 streaming apps, first one is configured to use 3GB of memory per >> node and second one uses 2GB per node. >> >> My problem is, that smaller app could easily run on 2 or 3 nodes, instead >> of 5 so I could lanuch third app. >> >> Is it possible to limit number of nodes(executors) that app wil get from >> standalone cluster? >> > >
Re: Spark Streaming: limit number of nodes
Use *spark.cores.max* to limit the CPU per job, then you can easily accommodate your third job also. Thanks Best Regards On Tue, Jun 23, 2015 at 5:07 PM, Wojciech Pituła wrote: > I have set up small standalone cluster: 5 nodes, every node has 5GB of > memory an 8 cores. As you can see, node doesn't have much RAM. > > I have 2 streaming apps, first one is configured to use 3GB of memory per > node and second one uses 2GB per node. > > My problem is, that smaller app could easily run on 2 or 3 nodes, instead > of 5 so I could lanuch third app. > > Is it possible to limit number of nodes(executors) that app wil get from > standalone cluster? >
Spark Streaming: limit number of nodes
I have set up small standalone cluster: 5 nodes, every node has 5GB of memory an 8 cores. As you can see, node doesn't have much RAM. I have 2 streaming apps, first one is configured to use 3GB of memory per node and second one uses 2GB per node. My problem is, that smaller app could easily run on 2 or 3 nodes, instead of 5 so I could lanuch third app. Is it possible to limit number of nodes(executors) that app wil get from standalone cluster?
