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spark:running-spark-on-single-machine-or-on-cluster [2022/12/14 12:49] straka [Starting Spark Cluster] |
spark:running-spark-on-single-machine-or-on-cluster [2022/12/14 12:53] straka [Memory Specification] |
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| ==== Memory Specification ==== | ==== Memory Specification ==== | ||
| - | Memory specification used for master and worker heap size (and for '' | + | TL;DR: Good default is '' |
| + | The memory for each worker is specified using the following format: < | ||
| + | The Spark memory limits the Java heap, and half of it is reserved for memory storage of cached RDDs. The second value sets a memory limit of every Python process and is by default set to '' | ||
| ==== Examples ==== | ==== Examples ==== | ||