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The `spark.executor.cores` property sets the number of cores each executor can use. More cores allow an executor to run more tasks in parallel, potentially speeding up your application. However, like with memory, you need to consider the overall resources available. Allocating too many cores to each executor can reduce the number of executors that can run concurrently. Experiment with different values to find the optimal setting for your application and cluster.