-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hi,
I am building a mesos cluster for the purposes of using it to run spark workloads (in addition to other frameworks). I am under the impression that it is preferable/recommended to run hdfs datanode process, spark slave on the same physical node (or EC2 instance or VM). My question is: What is the recommended resource splitting? How much memory and CPU should I preallocate for HDFS and how much should I set aside as allocatable by mesos? In addition, is there some rule-of-thumb recommendation around this? - -- Ankur Chauhan -----BEGIN PGP SIGNATURE----- iQEcBAEBAgAGBQJVPgiLAAoJEOSJAMhvLp3L2fEIANkmfTjzEhjQ1IEc5W59F8sP mT06qpxnd3XPg8DFOPIKxxCAtsVU1fImAOnFYobi9mQlEzcEbDtPMoLh0uStFIIS cuorK4j0Am8Y1xxYa8BhKuWEtpYoFtSEYIF5eHe5vNlt5FlEvs3vTJ3N/zFbxVsq I0FQH8r9u27pBJ9/rACyruYhgh/b5Tc6s39uKDFFJnhDWezMF2sF1WCgcIbZRP4+ PAhqLNPuVNAPcpi9JAe8u91d8yeFFVb/00mO2am2cr0BcHnfeWq6ZFftZUQrX3PK FvD7FpfeFLCS5FinDqMHp2nkGetlJMQsIYRzvn3tmim8OeE6ppFsO0LnRNEqEtQ= =I22x -----END PGP SIGNATURE----- --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
