![]() The default is set to 60% of the requested memory per executor. memory - The limit is the amount of RAM available in the computer minus what would be needed for OS operations. Not a necessary property to set, unless there’s a reason to use less cores than available for a given Spark session. It defaults to using all of the available cores. The following are the recommended Spark properties to set when connecting via R: You can do this using the spark_install() function, for example: Recommended properties To work in local mode, you should first install a version of Spark for local use. ![]() ![]() Local mode also provides a convenient development environment for analyses, reports, and applications that you plan to eventually deploy to a multi-node Spark cluster. Local mode is an excellent way to learn and experiment with Spark.
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