leonardBang commented on code in PR #618: URL: https://github.com/apache/flink-web/pull/618#discussion_r1142241969
########## docs/content/posts/2023-03-09-release-1.17.0.md: ########## @@ -0,0 +1,486 @@ +--- +authors: +- LeonardXu: + name: "Leonard Xu" + twitter: Leonardxbj +date: "2023-03-09T08:00:00Z" #FIXME: Change to the actual release date, also the date in the filename, and the directory name of linked images +subtitle: "" +title: Announcing the Release of Apache Flink 1.17 +aliases: +- /news/2023/03/09/release-1.17.0.html #FIXME: Change to the actual release date +--- + +The Apache Flink PMC is pleased to announce Apache Flink release 1.17.0. Apache +Flink is the leading stream processing standard, and the concept of unified +stream and batch data processing is being successfully adopted in more and more +companies. Thanks to our excellent community and contributors, Apache Flink +continues to grow as a technology and remains one of the most active projects in +the Apache Software Foundation. Flink 1.17 had 172 contributors enthusiastically +participating and saw the completion of 7 FLIPs and 600+ issues, bringing many +exciting new features and improvements to the community. + + +# Towards Streaming Warehouses + +In order to achieve greater efficiency in the realm of [streaming +warehouse](https://www.alibabacloud.com/blog/more-than-computing-a-new-era-led-by-the-warehouse-architecture-of-apache-flink_598821), +Flink 1.17 contains substantial improvements to both the performance of batch +processing and the semantics of streaming processing. These improvements +represent a significant stride towards the creation of a more efficient and +streamlined data warehouse, capable of processing large quantities of data in +real-time. + +For batch processing, this release includes several new features and +improvements: + +* **Streaming Warehouse API:** + [FLIP-282](https://cwiki.apache.org/confluence/pages/viewpage.action?pageId=235838061) + introduces the new Delete and Update API in Flink SQL which only works in batch + mode. External storage systems like Flink Table Store can implement row-level + updates via this new API. The ALTER TABLE syntax is enhanced by including the + ability to ADD/MODIFY/DROP columns, primary keys, and watermarks, making it + easier for users to maintain their table schema. +* **Batch Execution Improvements:** Execution of batch workloads has been Review Comment: 👍🏻,will add the links -- 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: issues-unsubscr...@flink.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org