Hi, Spark community, I noticed that the Spark JDBC connector MySQL dialect is testing against the 8.3.0[1] now, a non-LTS version.
MySQL changed the version policy recently[2], which is now very similar to the Java version policy. In short, 5.5, 5.6, 5.7, 8.0 is the LTS version, 8.1, 8.2, 8.3 is non-LTS, and the next LTS version is 8.4. I would say that MySQL is one of the most important infrastructures today, I checked the AWS RDS MySQL[4] and Azure Database for MySQL[5] version support policy, and both only support 5.7 and 8.0. Also, Spark officially only supports LTS Java versions, like JDK 17 and 21, but not 22. I would recommend using MySQL 8.0 for testing until the next MySQL LTS version (8.4) is available. Additional discussion can be found at [3] [1] https://issues.apache.org/jira/browse/SPARK-47453 [2] https://dev.mysql.com/blog-archive/introducing-mysql-innovation-and-long-term-support-lts-versions/ [3] https://github.com/apache/spark/pull/45581 [4] https://aws.amazon.com/rds/mysql/ [5] https://learn.microsoft.com/en-us/azure/mysql/concepts-version-policy Thanks, Cheng Pan --------------------------------------------------------------------- To unsubscribe e-mail: dev-unsubscr...@spark.apache.org
