[BUG] Cannot submit tasks to master

[rilakgg]

Hi,
I met an issue. Anyone can help? Thanks in advance.

After deploy spark-standalone-cluster-on-docker (images: andreper/spark-master:3.0.0) on a server (192.XX.X.X), I try to test by another PC (192.XX.X.Y).
cmd steps:
$ spark-shell --master spark://192.XX.X.X:7077

val count = sc.parallelize(1 to 1000).filter { _ =>
  val x = math.random
  val y = math.random
  x*x + y*y < 1
}.count()

I got below error.(infinite loop messages)

WARN TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources

Build Env.

• Images: andreper/spark-master:3.0.0
• Docker Engine version: 20.10.14
• Docker Compose version: Docker Compose version v2.2.3

[Estreuselito]

@rilakgg I am facing the same issue. Did you find a solution for that problem?

[ThomasMannKenbun]

@Estreuselito @rilakgg

This is not a bug.

You have another Spark Application running on this cluster already (e.g. a Spark Session created in Jupyter Lab). Close this Session/Spark Application.

In a Standalone Cluster default behavior for a Spark Application is to "grav" all ressources. If this is a permanent Session, it will block any other application from correctly getting any ressource.

[mrn-aglic]

@ThomasMannKenbun is there a way around this?

[mrn-aglic]

@ThomasMannKenbun I think it would work if jupyter was run on the same container as spark master and starting pyspark with the --master local[*] option. Tested on Iceberg image. The app isn't listed on localhost:7077.