How to configure authentication from a pySpark client to a Spark Connect server ?

Hi, Our company is currently introducing the Spark Connect server to production. Most of the issues have been solved yet I don't know how to configure authentication from a pySpark client to the Spark Connect server. I noticed that there is some interceptor configs at the Scala client side, wher

[Spark SQL] [Bug] Adding `checkpoint()` causes "column [...] cannot be resolved" error

Hi all, Wondering if anyone has run into this as I can't find any similar issues in JIRA, mailing list archives, Stack Overflow, etc. I had a query that was running successfully, but the query planning time was extremely long (4+ hours). To fix this I added `checkpoint()` calls earlier in the code