Faiz Halde created SPARK-46046:
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Summary: Isolated classloader per spark session
Key: SPARK-46046
URL: https://issues.apache.org/jira/browse/SPARK-46046
Project: Spark
Issue Type: Question
Components: Spark Core
Affects Versions: 3.5.0
Reporter: Faiz Halde
Hello,
We use spark 3.5.0 and were wondering if the following is achievable using
spark-core
Our use case involves spinning up a spark cluster wherein the driver
application loads user jars on-the-fly ( the user jar is not the spark
driver/application ) but merely a catalog of transformations. A single spark
application can load multiple jars in its lifetime with potential of classpath
conflict if care is not taken by the framework
The driver needs to load the jar, add the jar to the executor & calls a
predefined class.method to trigger the transformation
Each transformation runs in its own spark session inside the same spark
application
AFAIK, on the executor side, isolated classloader per session is only possible
when using the spark-connect facilities. Is it possible to do this without
using spark connect?
Spark connect is the only facility that adds the jar into a sessionUUID
directory of executor and when an executor runs a job from that session, it
sets a childfirstclassloader pointing to the sessionUUID directory
Thank you
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