I'm trying to understand the basics of Spark internals and Spark documentation for submitting applications in local mode says for spark-submit --master setting:
local[K] Run Spark locally with K worker threads (ideally, set this to the number of cores on your machine). local[*] Run Spark locally with as many worker threads as logical cores on your machine. Since all the data is stored on a single local machine, it does not benefit from distributed operations on RDDs. How does it benefit and what internally is going on when Spark utilizes several logical cores? -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Apache-Spark-standalone-mode-number-of-cores-tp21342.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
