Hi Stephan,
Thanks very much for your response! That gave me the confidence to continue to work on the Elastic Filter. But even though we have implemented it(based on 1.3.2) and used it on production for a several months, If there's one commiter is willing to guide me(since it's not a very trivial work, and IMO our current implementation base on 1.3.2 is a bit hacker, a design reviews would be really helpful) to bring it into flink, I will be very grateful. Best, Sihua On 06/9/2018 04:31，Stephan Ewen<se...@apache.org> wrote： Hi all! Thanks for the discussion and good input. Many suggestions fit well with the proposal above. Please bear in mind that with a time-based release model, we would release whatever is mature by end of July. The good thing is we could schedule the next release not too far after that, so that the features that did not quite make it will not be delayed too long. In some sense, you could read this as as "what to do first" list, rather than "this goes in, other things stay out". Some thoughts on some of the suggestions Kubernetes integration: An opaque integration with Kubernetes should be supported through the "as a library" mode. For a deeper integration, I know that some committers have experimented with some PoC code. I would let Till add some thoughts, he has worked the most on the deployment parts recently. Per partition watermarks with idleness: Good point, could one implement that on the current interface, with a periodic watermark extractor? Atomic cancel-with-savepoint: Agreed, this is important. Making this work with all sources needs a bit more work. We should have this in the roadmap. Elastic Bloomfilters: This seems like an interesting new feature - the above suggested feature set was more about addressing some longer standing issues/requests. However, nothing should prevent contributors to work on that. Best, Stephan On Wed, Jun 6, 2018 at 6:23 AM, Yan Zhou [FDS Science] <yz...@coupang.com> wrote: +1 on https://issues.apache.org/jira/browse/FLINK-5479 | [FLINK-5479] Per-partition watermarks in ... issues.apache.org Reported in ML: http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/Kafka-topic-partition-skewness-causes-watermark-not-being-emitted-td11008.html It's normally not a common case to have Kafka partitions not producing any data, but it'll probably be good to handle this as well. I ... | From: Rico Bergmann <i...@ricobergmann.de> Sent: Tuesday, June 5, 2018 9:12:00 PM To: Hao Sun Cc:dev@flink.apache.org; user Subject: Re: [DISCUSS] Flink 1.6 features +1 on K8s integration Am 06.06.2018 um 00:01 schrieb Hao Sun <ha...@zendesk.com>: adding my vote to K8S Job mode, maybe it is this? > Smoothen the integration in Container environment, like "Flink as a Library", > and easier integration with Kubernetes services and other proxies. On Mon, Jun 4, 2018 at 11:01 PM Ben Yan <yan.xiao.bin.m...@gmail.com> wrote: Hi Stephan, Will [ https://issues.apache.org/jira/browse/FLINK-5479 ] (Per-partition watermarks in FlinkKafkaConsumer should consider idle partitions) be included in 1.6? As we are seeing more users with this issue on the mailing lists. Thanks. Ben 2018-06-05 5:29 GMT+08:00 Che Lui Shum <sh...@us.ibm.com>: Hi Stephan, Will FLINK-7129 (Support dynamically changing CEP patterns) be included in 1.6? There were discussions about possibly including it in 1.6: http://mail-archives.apache.org/mod_mbox/flink-user/201803.mbox/%3cCAMq=ou7gru2o9jtowxn1lc1f7nkcxayn6a3e58kxctb4b50...@mail.gmail.com%3e Thanks, Shirley Shum Stephan Ewen ---06/04/2018 02:21:47 AM---Hi Flink Community! The release of Apache Flink 1.5 has happened (yay!) - so it is a good time From: Stephan Ewen <se...@apache.org> To: dev@flink.apache.org, user <u...@flink.apache.org> Date: 06/04/2018 02:21 AM Subject: [DISCUSS] Flink 1.6 features Hi Flink Community! The release of Apache Flink 1.5 has happened (yay!) - so it is a good time to start talking about what to do for release 1.6. == Suggested release timeline == I would propose to release around end of July (that is 8-9 weeks from now). The rational behind that: There was a lot of effort in release testing automation (end-to-end tests, scripted stress tests) as part of release 1.5. You may have noticed the big set of new modules under "flink-end-to-end-tests" in the Flink repository. It delayed the 1.5 release a bit, and needs to continue as part of the coming release cycle, but should help make releasing more lightweight from now on. (Side note: There are also some nightly stress tests that we created and run at data Artisans, and where we are looking whether and in which way it would make sense to contribute them to Flink.) == Features and focus areas == We had a lot of big and heavy features in Flink 1.5, with FLIP-6, the new network stack, recovery, SQL joins and client, ... Following something like a "tick-tock-model", I would suggest to focus the next release more on integrations, tooling, and reducing user friction. Of course, this does not mean that no other pull request gets reviewed, an no other topic will be examined - it is simply meant as a help to understand where to expect more activity during the next release cycle. Note that these are really the coarse focus areas - don't read this as a comprehensive list. This list is my first suggestion, based on discussions with committers, users, and mailing list questions. - Support Java 9 and Scala 2.12 - Smoothen the integration in Container environment, like "Flink as a Library", and easier integration with Kubernetes services and other proxies. - Polish the remaing parts of the FLIP-6 rewrite - Improve state backends with asynchronous timer snapshots, efficient timer deletes, state TTL, and broadcast state support in RocksDB. - Extends Streaming Sinks: - Bucketing Sink should support S3 properly (compensate for eventual consistency), work with Flink's shaded S3 file systems, and efficiently support formats that compress/index arcoss individual rows (Parquet, ORC, ...) - Support ElasticSearch's new REST API - Smoothen State Evolution to support type conversion on snapshot restore - Enhance Stream SQL and CEP - Add support for "update by key" Table Sources - Add more table sources and sinks (Kafka, Kinesis, Files, K/V stores) - Expand SQL client - Integrate CEP and SQL, through MATCH_RECOGNIZE clause - Improve CEP Performance of SharedBuffer on RocksDB
