morsapaes commented on a change in pull request #397:
URL: https://github.com/apache/flink-web/pull/397#discussion_r535389515
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File path: _posts/2020-12-04-release-1.12.0.md
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@@ -0,0 +1,313 @@
+---
+layout: post
+title: "Apache Flink 1.12.0 Release Announcement"
+date: 2020-12-04T08:00:00.000Z
+categories: news
+authors:
+- morsapaes:
+ name: "Marta Paes"
+ twitter: "morsapaes"
+- aljoscha:
+ name: "Aljoscha Krettek"
+ twitter: "aljoscha"
+
+excerpt: The Apache Flink community is excited to announce the release of
Flink 1.12.0! Close to 300 contributors worked on over 1k tickets to bring
significant improvements to usability as well as new features to Flink users
across the whole API stack. We're particularly excited about adding efficient
batch execution to the DataStream API, Kubernetes HA as an alternative to
ZooKeeper, support for upsert mode in the Kafka SQL connector and the new
Python DataStream API! Read on for all major new features and improvements,
important changes to be aware of and what to expect moving forward!
+---
+
+The Apache Flink community is excited to announce the release of Flink 1.12.0!
Close to 300 contributors worked on over 1k tickets to bring significant
improvements to usability as well as new features that simplify (and unify)
Flink handling across the API stack.
+
+**Release Highlights**
+
+* The community has added support for **efficient batch execution** in the
DataStream API. This is the first milestone towards achieving a truly unified
runtime for both batch and stream processing.
+
+* **Kubernetes-based High Availability (HA)** was implemented as an
alternative to ZooKeeper for highly available production setups.
+
+* The Kafka SQL connector has been extended to work in **upsert mode**,
supported by the ability to handle **connector metadata** in SQL DDL.
**Temporal table joins** can now also be fully expressed in SQL, no longer
depending on the Table API.
Review comment:
From a quick look at Stack Overflow, the User ML and the Kafka
documentation, it seems like a fairly commonly used term. Do you have any
suggestions for an alternative?
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