Hi Etienne, Thanks for reaching out I think your list already looks very appealing.
> * - metrics (https://github.com/apache/flink/pull/14510): it was > dealing with delimiters. I think it is a bit low level for a blog post ? > * I am also unsure whether this a good fit to present. I can only imagine showing what kind of use-case it supports. > > * - migration of pipelines from DataSet API to DataStream API: it is > already discussed in the flink website > * This is definitely something I’d like to see in my opinion it can also become a series because the topic has a lot of aspects. If you want to write a post about it it would be great to show the migration of a more complex pipeline (i.e. old formats, incompatible types ….). Many users will eventually face this so it has a big impact. FYI probably only Flink 1.13 is the latest version with full DataSet support. > > * - accumulators (https://github.com/apache/flink/pull/14558): it was > about an asynchronous get, once again a bit too low level for a blog > post ? > * To me accumulator are a kind of internal concept but maybe you can provide the use-case which drove this change? Probably explaining the semantics of them is already complicated. > > * - FileInputFormat mainly parquet improvements and fixes > (https://github.com/apache/flink/pull/15725, > https://github.com/apache/flink/pull/15172, > https://github.com/apache/flink/pull/15156): interesting but as this > API is being decommissioned, it might not be a good subject ? > * You have already summarized it: it is being deprecated and a much more interesting topic is the migration from DataSet to the DataStream API in case these old formats are used. > > * - doing a manual join in DataStream API in batch mode with > > /KeyedCoProcessFunction///(https://issues.apache.org/jira/browse/FLINK-22587). > As the target is more Flink table/SQL for these kind of things, the > same deprecation comment as above applies. > * > I tend to not show this topic because my recommendation would be to use the Table API directly and not build your own join in the DataStream API ;) > => maybe a blog post on back pressure in checkpointing > (https://github.com/apache/flink/pull/13040). WDYT ? > This is also an interesting topic but we constantly work on improving the situation and I am unsure if the blogpost is already not up-to-date anymore when it is released. Please let me know what you think I am also happy to give more feedback for one of the topics in more detail if you need it. Best, Fabian
