I would be nice to see the state TTL work finished. At the moment state will not expire if a key is not accessed while the job is running, which means jobs that require state expiration must continue using timers to expire data.
On Thu, Aug 23, 2018 at 1:12 AM Aljoscha Krettek <aljos...@apache.org> wrote: > Hi Everyone, > > After the recent Flink 1.6 release the people working on Flink at data > Artisans came together to talk about what we want to work on for Flink 1.7. > The following is a list of high-level directions that we will be working on > for the next couple of months. This doesn't mean that other things are not > important or maybe more important, so please chime in. > > That being said, here's the high-level list: > - make the Rest API versioned > - provide docker-compose based quickstarts for Flink SQL > - support writing to S3 in the new streaming file sink > - add a new type of join that allows "joining streams with tables" > - Scala 2.12 support > - improvements to resource scheduling, local recovery > - improved support for running Flink in containers, Flink dynamically > reacting to changes in the container deployment > - automatic rescaling policies > - initial support for state migration, i.e. changing the > schema/TypeSerializer of Flink State > > This is also an invitation for others to post what they would like to work > on and also to point out glaring omissions. > > Best, > Aljoscha