jtuglu1 commented on issue #9780: URL: https://github.com/apache/druid/issues/9780#issuecomment-4159618397
> The Jira for Spark Java 25 support, https://issues.apache.org/jira/browse/SPARK-51167, says they're waiting for Hadoop to support Java 25, which is unsettling. Yes, Druid is also currently blocked on Hadoop 3.5 for upgrading to Java 25 due to the Parquet Reader's dependence on Hadoop dependencies. I can tackle that this week if there's no one else trying to push this forward (we want to get to latest JDK internally). I think once Parquet reader is upgraded this will be more of a concern. > I'm not familiar with how the Spark connection works today, so I'm not sure if these thoughts are relevant. They are just things that came to mind from the experience with Hadoop. Yes, 100%. My goal would be to avoid any tight-coupling of the Druid code with Spark in terms of versioning, etc. I have to take a closer look at the connector code to see whether separate process might work. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
