Looks like for Java, a standalone Job Service is not required to run beam functions on Spark, and spark-submit handles everything in cluster mode. But this is not the case for Python runner. Are you aware of any example in Python that runs in a (i.e. Kubernetes) cluster?
From: "Tom Barber" <[email protected]>
To: [email protected], "Matthew K." <[email protected]>
Subject: Re: Running Python Beam Functions on Spark Kubernetes Cluster
On 28 October 2019 at 23:16:20, Tom Barber ([email protected]) wrote:
./spark-submit --master k8s://https:// --deploy-mode cluster --name spark-demo --class com.example.beam.ProcessHealth2 --conf spark.executor.instances=5 --conf spark.kubernetes.authenticate.driver.serviceAccountName=spark --conf spark.kubernetes.container.image=/spark: local:///opt/wordcount-app-1.0.0-shaded.jar "--runner=SparkRunner" "--awsKey=" "--awsSecret=" "--outputPath=s3:///" "--awsRegion=us-east-1”Tom
On 28 October 2019 at 22:50:51, Matthew K. ([email protected]) wrote:
I would like to run Beam functions on Spark cluster created on a Kubernetes using `spark-submit`. However, it is not clear how to integrate Beam's Job Service with non-standalone Spark master (on Kubernetes) launched by `spark-submit`.Any information is appreciated.Thanks
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