codope commented on issue #3724: URL: https://github.com/apache/hudi/issues/3724#issuecomment-954836086
> What I'm after is doing same thing as in Flink using read.streaming.start-commit (https://hudi.apache.org/docs/querying_data/#flink-sql). Do you think this is something that could be added to spark streaming hudi source in the future? Wouldn't the setting the end instant time to current time and begin to current - avg_processing_time be suffcient? `hoodie.datasource.read.begin.instanttime` and `hoodie.datasource.read.end.instanttime` should be usable with structured streaming as well. We can see that in unit test for example. > If my thinking is correct, where the jar goes (i want to run in on emr)? Yes that's correct. On EMR, you need to place it under `/usr/lib/hudi` -- 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]
