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https://issues.apache.org/jira/browse/SPARK-30002?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17384070#comment-17384070
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Manish Gupta commented on SPARK-30002:
--------------------------------------
We recently encountered this use case where we wanted to run a scala spark job
and pyspark job in spark local mode. Once a SparkContext was created by scala
spark job it was not being used by the pyspark job and job was failing while
trying to create a new SparkContext for the pyspark job.
The fix suggested by [~skp33] worked for us.
[~hyukjin.kwon] can we consider this fix. We are using spark 3.0.1 version.
> Reuse SparkSession in pyspark via Gateway
> -----------------------------------------
>
> Key: SPARK-30002
> URL: https://issues.apache.org/jira/browse/SPARK-30002
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 3.1.0
> Reporter: Kaushal Prajapati
> Priority: Minor
>
> In PySpark, we create SparkContext via user spark configurations or the
> default ones, and it gets launched through py4j gateway internally.
> Let's say if I have launched py4j gateway from another application then to
> communicate with the same py4j gateway I have to set below configuration:-
>
> {code:java}
> export PYSPARK_GATEWAY_PORT=12345
> export PYSPARK_GATEWAY_SECRET=***********************
> {code}
>
> So when PySpark tries to create its own SparkContext after the communication
> has been set up, it doesn't check whether there is any available SparkContext
> in the same JVM.
> Current code snippet:-
>
> {code:java}
> def _initialize_context(self, jconf):
> """
> Initialize SparkContext in function to allow subclass specific
> initialization
> """
> return self._jvm.JavaSparkContext(jconf){code}
>
>
> After changing it to the following, it works fine for me.
> {code:java}
> def _initialize_context(self, jconf):
> """
> Initialize SparkContext in function to allow subclass specific
> initialization
> """
> return
> self._jvm.JavaSparkContext(self._jvm.org.apache.spark.SparkContext.getOrCreate(jconf)){code}
>
> It looks like a good use case for improvement.
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