May 2017
Intermediate to advanced
294 pages
7h 33m
English
Content preview from Apache Spark 2.x Cookbook
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Deploying Spark on a cluster in standalone mode
Compute resources in a distributed environment need to be managed so that resource utilization is efficient and every job gets a fair chance to run. Spark comes with its own cluster manager, which is conveniently called standalone mode. Spark also supports working with YARN and Mesos cluster managers.
The cluster manager you choose should be mostly driven by both legacy concerns and whether other frameworks, such as MapReduce, share the same compute resource pool. If your cluster has legacy MapReduce jobs running and all of them cannot be converted into Spark jobs, it is a good idea to use YARN as the cluster manager. Mesos is emerging as a data center operating system to conveniently manage ...
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