pyspark.resource.ExecutorResourceRequests¶
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class
pyspark.resource.ExecutorResourceRequests(_jvm: Optional[py4j.java_gateway.JVMView] = None, _requests: Optional[Dict[str, pyspark.resource.requests.ExecutorResourceRequest]] = None)[source]¶ A set of Executor resource requests. This is used in conjunction with the
pyspark.resource.ResourceProfileBuilderto programmatically specify the resources needed for an RDD that will be applied at the stage level.New in version 3.1.0.
See also
Notes
This API is evolving.
Methods
cores(amount)Specify number of cores per Executor.
memory(amount)Specify heap memory.
memoryOverhead(amount)Specify overhead memory.
offheapMemory(amount)Specify off heap memory.
pysparkMemory(amount)Specify pyspark memory.
resource(resourceName, amount[, …])Amount of a particular custom resource(GPU, FPGA, etc) to use.
Attributes
requests- Returns