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https://issues.apache.org/jira/browse/SPARK-39549?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Chenyang Zhang updated SPARK-39549:
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Priority: Major (was: Critical)
> How to get access to the data created in different Spark Applications
> ---------------------------------------------------------------------
>
> Key: SPARK-39549
> URL: https://issues.apache.org/jira/browse/SPARK-39549
> Project: Spark
> Issue Type: Question
> Components: Pandas API on Spark, Project Infra, PySpark
> Affects Versions: 3.3.0
> Reporter: Chenyang Zhang
> Priority: Major
>
> I am working on a project using PySpark and I am blocked because I want to
> share data between different Spark applications. The situation is that we
> have a running java server which can handles incoming requests with a thread
> pool, and each thread has a corresponding python process. We want to use
> pandas on Spark, but have it so that any of the python processes can access
> the same data in spark. For example, in a python process, we created a
> SparkSession, read some data, modified the data using pandas on Spark api and
> we want to get access to that data in a different python process. The core
> problem is how to share data between different SparkSession or how to let
> different python process connect to the same SparkSession. I researched a bit
> but it seems impossible to share data between different python process
> without using external DB or connect to the same SparkSession. Generally, is
> this possible / what would be the recommended way to do this with the least
> impact on performance?
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