[ https://issues.apache.org/jira/browse/SPARK-39549?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-39549. ---------------------------------- Resolution: Invalid For questions, let's leverage Spark mailing list. > 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? -- This message was sent by Atlassian Jira (v8.20.7#820007) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org