Hi! I can't speak for the other tasks, but SPARK-23444 I'd expect to be pretty complicated. It's not obvious what the right strategy is, and there's a bunch of minor stuff that needs to be cleaned up (e.g. tasks shouldn't print cancellation warnings when cancellation is expected).
If you're interested in working on continuous processing, https://issues. apache.org/jira/browse/SPARK-23503 could be a good newbie task. It's a pretty localized change to the EpochCoordinator class; basically, it needs to wait to call query.commit(n + 1) until after query.commit(n). I'm not sure how well I've managed to document the existing implementation, but I'd be happy to answer any questions about it. Jose On Tue, Mar 20, 2018 at 9:01 AM, Efim Poberezkin <efim_poberez...@epam.com> wrote: > Good time of day, > > > > I’d like to contribute to Spark development, but find it difficult to get > into the process. I’m somewhat overwhelmed by Spark’s Jira as it’s hard for > me to figure out the complexity of tasks and choose an appropriate one. > > I’ve surfed Jira for some time and have selected a few issues I think I > could try to solve: > > > > https://issues.apache.org/jira/browse/SPARK-23444 > > https://issues.apache.org/jira/browse/SPARK-23693 > > https://issues.apache.org/jira/browse/SPARK-23673 - although for this one > there’s an uncertainty that it’s needed at all, according to the comment > > > > Also I think it would be interesting to work on Continuous Processing if > there were some newbie tasks, but I wasn’t able to find them. > > If you could give me some directions on any of these issues I’ve linked, > or just point to some tasks that are suitable for a beginner, that’d help > me a lot, I would appreciate any advice. > > > > Best regards, > > Efim >
