May 2017
Intermediate to advanced
294 pages
7h 33m
English
Content preview from Apache Spark 2.x Cookbook
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How it works...
Spark applications on YARN run in two modes:
- yarn-client: Spark Driver runs in the client process outside of the YARN cluster, and ApplicationMaster is only used to negotiate the resources from ResourceManager.
- yarn-cluster: Spark Driver runs in ApplicationMaster, spawned by NodeManager on a slave node.
The yarn-cluster mode is recommended for production deployments, while the yarn-client mode is good for development and debugging, where you would like to see the immediate output. There is no need to specify the Spark master in either mode as it's picked from the Hadoop configuration, and the master parameter is either yarn-client or yarn-cluster.
The following figure shows how Spark is run with YARN in the client mode: ...
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