pan3793 commented on PR #52110: URL: https://github.com/apache/spark/pull/52110#issuecomment-3218851801
@itskals thanks for your response! > Please specify the scope of work involved ... JDBC has well-defined APIs, so there isn't much room for implementation flexibility. > ... your expectations to call it done-done. This is a good question. I can imagine 3 milestones: 1) Usable: supports all Spark Primitive Data Types, works well with BeeLine as a SQL CLI to execute SQL, and retrieve results 2) Done: supports all Spark Data Types, and JDBC API implementation coverage reaches the Hive JDBC driver level, then it can compete with the Spark Thrift Server. 3) Improvement: implement more JDBC APIs to enable Spark Connect JDBC driver to integrate with more tools, e.g., DBeaver. > It seems that an SPIP or a more detailed document than the current proposal may be appropriate. If my above two answers do not solve your concerns, I can follow the SPIP guide to process this feature. Thank you again for your quick reply! -- 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]
