HyukjinKwon commented on PR #59313: URL: https://github.com/apache/spark/pull/59313#issuecomment-6158637627
@lidavidm Thanks for the context. You're right that ADBC has streaming result sets and partitioned execution (`AdbcStatementExecutePartitions` and `AdbcConnectionReadPartition`), which map well to how Spark plans and reads partitions. What I meant above is Spark's micro-batch streaming, where the source tracks offsets across micro-batches and replays ranges after restarts, and the write side (task commit messages, aborts, and epochs). Substrait for the pushdown would also address the semantics concerns that @tdcmeehan raised here, with each driver supporting a declared subset. For now, Spark evaluates every pushed predicate again after reading, so a library only uses them to skip data. The pluggable filesystems and file type drivers that @CurtHagenlocher is looking at sound relevant too, for a C ABI such as the one in #59424. -- 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]
