December 2016
Beginner to intermediate
392 pages
8h 13m
English
Content preview from Apache Spark for Data Science CookbookBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Submitting applications to a cluster
This recipe shows how to run an application on distributed clusters. An application is launched on a set of machines using an external service called a cluster manager. There is a wide variety of cluster managers such as Hadoop YARN, Apache Mesos, and Spark's own built-in standalone cluster manager. Spark provides a single tool for submitting jobs across all cluster managers, called spark-submit. Through various options, spark-submit can connect to different cluster managers and control how many resources your application gets.
Getting ready
To step through this recipe, you will need a running Spark cluster either in pseudo distributed mode or in one of the distributed modes, that is, standalone, YARN, or Mesos. ...
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