rmetzger commented on a change in pull request #352:
URL: https://github.com/apache/flink-web/pull/352#discussion_r448927251
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File path: _posts/2020-06-29-release-1.11.0.md
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@@ -0,0 +1,299 @@
+---
+layout: post
+title: "Apache Flink 1.11.0 Release Announcement"
+date: 2020-06-29T08:00:00.000Z
+categories: news
+authors:
+- morsapaes:
+ name: "Marta Paes"
+ twitter: "morsapaes"
+
+excerpt: The Apache Flink community is proud to announce the release of Flink
1.11.0! This release marks the first milestone in realizing a new vision for
fault tolerance in Flink, and adds a handful of new features that simplify (and
unify) Flink handling across the API stack. In particular for users of the
Table API/SQL, this release introduces significant improvements to usability
and opens up completely new use cases, including the much-anticipated support
for Change Data Capture (CDC)! A great deal of effort has also gone into
optimizing PyFlink and ensuring that its functionality is available to a
broader set of Flink users.
+---
+
+The Apache Flink community is proud to announce the release of Flink 1.11.0!
This release marks the first milestone in realizing a new vision for fault
tolerance in Flink, and adds a handful of new features that simplify (and
unify) Flink handling across the API stack. In particular for users of the
Table API/SQL, this release introduces significant improvements to usability
and opens up completely new use cases, including the much-anticipated support
for Change Data Capture (CDC)! A great deal of effort has also gone into
optimizing PyFlink and ensuring that its functionality is available to a
broader set of Flink users.
Review comment:
I have tried describing some release highlights with a bit more detail,
and add a bit more excitement. Happy to hear your feedback:
```suggestion
The Apache Flink community is proud to announce the release of Flink 1.11.0!
This release marks a major milestone for many areas of Flink. We are
particularly excited about these highlights in this release:
- The **core engine** is introducing a major change to improve the
checkpointing performance under heavy backpressure: **unaligned checkpoints**
allow barriers to overtake in-flight records so that the checkpointing is not
blocked by backpressure anymore.
- We are introducing a **new Source API** for the **DataSet API**,
simplifying the implementation of (custom) sources by handling internals such
as event-time handling, watermark generation or idleness detection by Flink.
Sources build on the new API are usable for both batch and streaming
applications.
- **Flink SQL** is introducing **support for Change Data Capture (CDC)**:
This makes implementing a popular streaming architecture much easier: The
stream processor is constantly reading the internal transaction log of a
traditional database (Postgres, MySQL) for heavy analytics workloads.
- **Flink SQL** is also introducing support for **Python
User-defined-functions**. You can now use Flink SQL to prepare (join, clean,
aggregate) your data, then process it with your own Python code -- no more need
to write Java or Scala.
This list is just a selection of some highlights of the release. Make sure
to check out the full description of all new features below.
```
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