Hi there,
We use something like:
/*
* Force Spark to initialise the defaultParallelism by executing a dummy
parallel operation and then return
* the resulting defaultParallelism.
*/
private int getWorkerCount(SparkContext sparkContext) {
sparkContext.parallelize(List.of(1, 2, 3, 4)).collect();
return sparkContext.defaultParallelism();
}
Its useful for setting certain pool sizes dynamically, such as:
sparkContext.hadoopConfiguration().set("fs.s3a.connection.maximum",
Integer.toString(workerCount * 2));
This works in our Spark 3.0.1 code; just migrating to 3.2.1 now.
Cheers,
Steve C
On 8 Jun 2022, at 4:28 pm, Poorna Murali
<poornamur...@gmail.com<mailto:poornamur...@gmail.com>> wrote:
Hi,
I would like to know if it is possible to get the count of live master and
worker spark nodes running in a system.
Please help to clarify the same.
Thanks&Regards,
Poorna
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