Github user rdblue commented on a diff in the pull request:
https://github.com/apache/spark/pull/23055#discussion_r234691652
--- Diff:
core/src/main/scala/org/apache/spark/api/python/PythonRunner.scala ---
@@ -74,8 +74,13 @@ private[spark] abstract class BasePythonRunner[IN, OUT](
private val reuseWorker = conf.getBoolean("spark.python.worker.reuse",
true)
// each python worker gets an equal part of the allocation. the worker
pool will grow to the
// number of concurrent tasks, which is determined by the number of
cores in this executor.
- private val memoryMb = conf.get(PYSPARK_EXECUTOR_MEMORY)
+ private val memoryMb = if (Utils.isWindows) {
--- End diff --
@HyukjinKwon, what should the JVM side do differently if `resource` is not
available?
I don't think it should do anything different. It should still allocate the
python memory region when requesting resources from schedulers. The only
difference is that python isn't self-limiting. Do you have an example of
something that the JVM should change when running on Windows?
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