Every Spark executor has a fixed number of cores which can be specified with the --executor-cores flag when invoking spark-submit, spark-shell, and pyspark from the command line, or by setting the spark.executor.cores.
The number of cores controls the number of parallel tasks an executor can run.
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expected resources) (resources are executors in yarn mode and Kubernetes mode, CPU cores in standalone mode and Mesos coarse-grained mode ['spark.cores.max' ...
Configuration - Spark 3.3.2 Documentation
Every Spark executor in an application has the same fixed number of cores and same fixed heap size. The number of cores can be specified with the --executor-cores flag when invoking spark-submit, spark-shell, and pyspark from the command line, or by setting the spark.executor.cores
How-to: Tune Your Apache Spark Jobs (Part 2) - Cloudera Blog
This week, we're going to talk about executor cores. First, as we've done with the ... How Does Spark Use Multiple Executor Cores?