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Posted to commits@flink.apache.org by ch...@apache.org on 2023/03/24 09:59:33 UTC
[flink-web] branch asf-site updated: [hotfix] Remove Jekyll toc
This is an automated email from the ASF dual-hosted git repository.
chesnay pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/flink-web.git
The following commit(s) were added to refs/heads/asf-site by this push:
new 8f45241e6 [hotfix] Remove Jekyll toc
8f45241e6 is described below
commit 8f45241e621ec4874d6a1b446efda8fed86875e9
Author: Jing Ge <ge...@gmail.com>
AuthorDate: Fri Mar 24 17:59:26 2023 +0800
[hotfix] Remove Jekyll toc
---
docs/content.zh/how-to-contribute/contribute-code.md | 4 ----
docs/content/posts/2017-02-06-release-1.2.0.md | 2 --
docs/content/posts/2017-07-04-flink-rescalable-state.md | 2 --
docs/content/posts/2017-12-12-release-1.4.0.md | 2 --
docs/content/posts/2018-05-18-release-1.5.0.md | 2 --
docs/content/posts/2018-08-09-release-1.6.0.md | 2 --
docs/content/posts/2018-11-30-release-1.7.0.md | 2 --
docs/content/posts/2019-04-09-release-1.8.0.md | 2 --
docs/content/posts/2019-06-05-flink-network-stack.md | 2 --
docs/content/posts/2019-07-23-flink-network-stack-2.md | 2 --
docs/content/posts/2019-08-22-release-1.9.0.md | 2 --
docs/content/posts/2019-09-05-community-update.md | 2 --
docs/content/posts/2020-02-11-release-1.10.0.md | 2 --
docs/content/posts/2020-03-27-flink-for-data-warehouse.md | 3 ---
docs/content/posts/2020-03-30-community-update.md | 2 --
docs/content/posts/2020-04-07-release-statefun-2.0.0.md | 3 ---
docs/content/posts/2020-04-15-flink-serialization-tuning-vol-1.md | 2 --
docs/content/posts/2020-05-06-community-update.md | 2 --
docs/content/posts/2020-06-09-release-statefun-2.1.0.md | 3 ---
docs/content/posts/2020-06-10-community-update.md | 2 --
docs/content/posts/2020-07-06-release-1.11.0.md | 2 --
docs/content/posts/2020-07-29-community-update.md | 2 --
docs/content/posts/2020-09-04-community-update.md | 2 --
docs/content/posts/2020-09-28-release-statefun-2.2.0.md | 1 -
docs/content/posts/2020-10-13-stateful-serverless-internals.md | 2 --
docs/content/posts/2020-12-02-pipelined-region-sheduling.md | 2 --
docs/content/posts/2020-12-10-release-1.12.0.md | 2 --
docs/content/posts/2021-01-11-batch-fine-grained-fault-tolerance.md | 2 --
docs/content/posts/2021-03-11-batch-execution-mode.md | 2 --
docs/content/posts/2021-04-15-release-statefun-3.0.0.md | 2 --
docs/content/posts/2021-05-03-release-1.13.0.md | 2 --
docs/content/posts/2021-05-06-reactive-mode.md | 2 --
docs/content/posts/2021-07-07-backpressure.md | 2 --
docs/content/posts/2021-08-31-release-statefun-3.1.0.md | 2 --
docs/content/posts/2021-09-07-connector-table-sql-api-part1.md | 2 --
docs/content/posts/2021-09-07-connector-table-sql-api-part2.md | 2 --
docs/content/posts/2021-09-29-release-1.14.0.md | 2 --
docs/content/posts/2021-10-26-sort-shuffle-part1.md | 2 --
docs/content/posts/2021-10-26-sort-shuffle-part2.md | 2 --
docs/content/posts/2021-11-03-flink-backward.md | 2 --
docs/content/posts/2022-01-04-scheduler-performance-part-two.md | 2 --
docs/content/posts/2022-01-07-release-ml-2.0.0.md | 2 --
docs/content/posts/2022-01-20-pravega-connector-101.md | 2 --
docs/content/posts/2022-01-31-release-statefun-3.2.0.md | 2 --
docs/content/posts/2022-02-22-scala-free.md | 2 --
docs/content/posts/2022-03-16-async-sink-base.md | 2 --
docs/content/posts/2022-05-06-pyflink-1.15-thread-mode.md | 2 --
docs/content/posts/2022-05-06-restore-modes.md | 2 --
docs/content/posts/2022-06-17-adaptive-batch-scheduler.md | 2 --
docs/content/posts/2022-07-12-release-ml-2.1.0.md | 2 --
50 files changed, 104 deletions(-)
diff --git a/docs/content.zh/how-to-contribute/contribute-code.md b/docs/content.zh/how-to-contribute/contribute-code.md
index 1ec33a464..bd25fb5fe 100644
--- a/docs/content.zh/how-to-contribute/contribute-code.md
+++ b/docs/content.zh/how-to-contribute/contribute-code.md
@@ -12,10 +12,6 @@ Apache Flink 是一个通过志愿者贡献的代码来维护、改进和扩展
**重要提示**：在开始准备代码贡献之前，请仔细阅读本文档。请遵循如下所述的流程和指南，为 Apache Flink 做贡献并不是从创建 pull request 开始的。我们希望贡献者先和我们联系，共同讨论整体方案。如果没有与 Flink committers 达成共识，那么贡献可能需要大量返工或不予审核通过。
-
-
-{% toc %}
-
## 寻找可贡献的内容
如果你已经有好的想法可以贡献，可以直接参考下面的 "代码贡献步骤"。
diff --git a/docs/content/posts/2017-02-06-release-1.2.0.md b/docs/content/posts/2017-02-06-release-1.2.0.md
index b2e7a9f8f..02534a0e5 100644
--- a/docs/content/posts/2017-02-06-release-1.2.0.md
+++ b/docs/content/posts/2017-02-06-release-1.2.0.md
@@ -15,8 +15,6 @@ We encourage everyone to download the release and check out the [documentation](
You can find the binaries on the updated [Downloads page](http://flink.apache.org/downloads.html). Some highlights of the release are listed below.
-{% toc %}
-
## Dynamic Scaling / Key Groups
Flink now supports changing the parallelism of a streaming job by restoring it from a savepoint with a different parallelism. Both changing the entire job’s parallelism and operator parallelism is supported.
diff --git a/docs/content/posts/2017-07-04-flink-rescalable-state.md b/docs/content/posts/2017-07-04-flink-rescalable-state.md
index a693c90d9..fab4b3c04 100644
--- a/docs/content/posts/2017-07-04-flink-rescalable-state.md
+++ b/docs/content/posts/2017-07-04-flink-rescalable-state.md
@@ -12,8 +12,6 @@ aliases:
<br>
<br>
-{% toc %}
-
## An Intro to Stateful Stream Processing
At a high level, we can consider state in stream processing as memory in operators that remembers information about past input and can be used to influence the processing of future input.
diff --git a/docs/content/posts/2017-12-12-release-1.4.0.md b/docs/content/posts/2017-12-12-release-1.4.0.md
index 784b3dece..4ce826677 100644
--- a/docs/content/posts/2017-12-12-release-1.4.0.md
+++ b/docs/content/posts/2017-12-12-release-1.4.0.md
@@ -35,8 +35,6 @@ A summary of some of the features in the release is available below.
For more background on the Flink 1.4.0 release and the work planned for the Flink 1.5.0 release, please refer to [this blog post](http://flink.apache.org/news/2017/11/22/release-1.4-and-1.5-timeline.html) on the Apache Flink blog.
-{% toc %}
-
## New Features and Improvements
### End-to-end Exactly Once Applications with Apache Flink and Apache Kafka and TwoPhaseCommitSinkFunction
diff --git a/docs/content/posts/2018-05-18-release-1.5.0.md b/docs/content/posts/2018-05-18-release-1.5.0.md
index e5b26bf9c..4fd66c0b6 100644
--- a/docs/content/posts/2018-05-18-release-1.5.0.md
+++ b/docs/content/posts/2018-05-18-release-1.5.0.md
@@ -18,8 +18,6 @@ Feedback through the Flink [mailing lists](http://flink.apache.org/community.htm
You can find the binaries on the updated [Downloads page](http://flink.apache.org/downloads.html) on the Flink project site.
-{% toc %}
-
## Flink 1.5 - Streaming Evolved
We believe that the field of stream processing, and Apache Flink with it, is taking another major leap at the moment. Stream processing is not just faster analytics and a more principled way of building fast continuous data pipelines. Stream processing is becoming a paradigm to build data-driven and data-intensive applications - it brings together data processing logic and application/business logic.
diff --git a/docs/content/posts/2018-08-09-release-1.6.0.md b/docs/content/posts/2018-08-09-release-1.6.0.md
index e7363312f..63c497eff 100644
--- a/docs/content/posts/2018-08-09-release-1.6.0.md
+++ b/docs/content/posts/2018-08-09-release-1.6.0.md
@@ -18,8 +18,6 @@ Feedback through the Flink [mailing lists](http://flink.apache.org/community.htm
You can find the binaries on the updated [Downloads page](http://flink.apache.org/downloads.html) on the Flink project site.
-{% toc %}
-
## Flink 1.6 - The next step in stateful stream processing
In Flink 1.6.0 we continue the groundwork we laid out in earlier versions: Enabling Flink users to seamlessly run fast data processing and build data-driven and data-intensive applications effortlessly.
diff --git a/docs/content/posts/2018-11-30-release-1.7.0.md b/docs/content/posts/2018-11-30-release-1.7.0.md
index 3c728f2ce..b74a159fa 100644
--- a/docs/content/posts/2018-11-30-release-1.7.0.md
+++ b/docs/content/posts/2018-11-30-release-1.7.0.md
@@ -20,8 +20,6 @@ Feedback through the Flink [mailing lists](http://flink.apache.org/community.htm
You can find the binaries on the updated [Downloads page](http://flink.apache.org/downloads.html) on the Flink project site.
-{% toc %}
-
## Flink 1.7.0 - Extending the reach of Stream Processing
In Flink 1.7.0 we come closer to our goals of enabling fast data processing and building data-intensive applications for the Flink community in a seamless way.
diff --git a/docs/content/posts/2019-04-09-release-1.8.0.md b/docs/content/posts/2019-04-09-release-1.8.0.md
index 5a05ec54b..b8d5c717f 100644
--- a/docs/content/posts/2019-04-09-release-1.8.0.md
+++ b/docs/content/posts/2019-04-09-release-1.8.0.md
@@ -27,8 +27,6 @@ very much appreciated!
You can find the binaries on the updated [Downloads page](/downloads.html) on the Flink project site.
-{% toc %}
-
With Flink 1.8.0 we come closer to our goals of enabling fast data processing
and building data-intensive applications for the Flink community in a seamless
way. We do this by cleaning up and refactoring Flink under the hood to allow
diff --git a/docs/content/posts/2019-06-05-flink-network-stack.md b/docs/content/posts/2019-06-05-flink-network-stack.md
index 0dc09fc1c..c3d1b9989 100644
--- a/docs/content/posts/2019-06-05-flink-network-stack.md
+++ b/docs/content/posts/2019-06-05-flink-network-stack.md
@@ -26,8 +26,6 @@ Flink’s network stack is one of the core components that make up the `flink-ru
This blog post is the first in a series of posts about the network stack. In the sections below, we will first have a high-level look at what abstractions are exposed to the stream operators and then go into detail on the physical implementation and various optimisations Flink did. We will briefly present the result of these optimisations and Flink’s trade-off between throughput and latency. Future blog posts in this series will elaborate more on monitoring and metrics, tuning parameters [...]
-{% toc %}
-
## Logical View
Flink’s network stack provides the following logical view to the subtasks when communicating with each other, for example during a network shuffle as required by a `keyBy()`.
diff --git a/docs/content/posts/2019-07-23-flink-network-stack-2.md b/docs/content/posts/2019-07-23-flink-network-stack-2.md
index a763f428c..eb60192eb 100644
--- a/docs/content/posts/2019-07-23-flink-network-stack-2.md
+++ b/docs/content/posts/2019-07-23-flink-network-stack-2.md
@@ -26,8 +26,6 @@ aliases:
In a [previous blog post](/2019/06/05/flink-network-stack.html), we presented how Flink’s network stack works from the high-level abstractions to the low-level details. This second blog post in the series of network stack posts extends on this knowledge and discusses monitoring network-related metrics to identify effects such as backpressure or bottlenecks in throughput and latency. Although this post briefly covers what to do with backpressure, the topic of tuning the network stack will [...]
-{% toc %}
-
## Monitoring
Probably the most important part of network monitoring is [monitoring backpressure]({{< param DocsBaseUrl >}}flink-docs-release-1.8/monitoring/back_pressure.html), a situation where a system is receiving data at a higher rate than it can process¹. Such behaviour will result in the sender being backpressured and may be caused by two things:
diff --git a/docs/content/posts/2019-08-22-release-1.9.0.md b/docs/content/posts/2019-08-22-release-1.9.0.md
index 00655d5aa..961ad7b68 100644
--- a/docs/content/posts/2019-08-22-release-1.9.0.md
+++ b/docs/content/posts/2019-08-22-release-1.9.0.md
@@ -42,8 +42,6 @@ lists](https://flink.apache.org/community.html#mailing-lists) or
feedback is very much appreciated!
-{% toc %}
-
## New Features and Improvements
diff --git a/docs/content/posts/2019-09-05-community-update.md b/docs/content/posts/2019-09-05-community-update.md
index 4f534ec02..ea9865d62 100644
--- a/docs/content/posts/2019-09-05-community-update.md
+++ b/docs/content/posts/2019-09-05-community-update.md
@@ -18,8 +18,6 @@ This has been an exciting, fast-paced year for the Apache Flink community. But w
The first post in the series takes you on an little detour across the year, to freshen up and make sure you're all up to date.
-{% toc %}
-
# The Year (so far) in Flink
Two major versions were released this year: [Flink 1.8](https://flink.apache.org/news/2019/04/09/release-1.8.0.html) and [Flink 1.9](https://flink.apache.org/news/2019/08/22/release-1.9.0.html); paving the way for the goal of making Flink the first framework to seamlessly support stream and batch processing with a single, unified runtime. The [contribution of Blink](https://flink.apache.org/news/2019/02/13/unified-batch-streaming-blink.html) to Apache Flink was key in accelerating the pa [...]
diff --git a/docs/content/posts/2020-02-11-release-1.10.0.md b/docs/content/posts/2020-02-11-release-1.10.0.md
index d722b99d9..bd084185e 100644
--- a/docs/content/posts/2020-02-11-release-1.10.0.md
+++ b/docs/content/posts/2020-02-11-release-1.10.0.md
@@ -14,8 +14,6 @@ The Apache Flink community is excited to hit the double digits and announce the
Flink 1.10 also marks the completion of the [Blink integration](https://flink.apache.org/news/2019/08/22/release-1.9.0.html#preview-of-the-new-blink-sql-query-processor), hardening streaming SQL and bringing mature batch processing to Flink with production-ready Hive integration and TPC-DS coverage. This blog post describes all major new features and improvements, important changes to be aware of and what to expect moving forward.
-{% toc %}
-
The binary distribution and source artifacts are now available on the updated [Downloads page](/downloads.html) of the Flink website. For more details, check the complete [release changelog](https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12315522&version=12345845) and the [updated documentation]({{< param DocsBaseUrl >}}flink-docs-release-1.10/). We encourage you to download the release and share your feedback with the community through the [Flink mailing lists](https:/ [...]
diff --git a/docs/content/posts/2020-03-27-flink-for-data-warehouse.md b/docs/content/posts/2020-03-27-flink-for-data-warehouse.md
index 52671beef..68e11d1c3 100644
--- a/docs/content/posts/2020-03-27-flink-for-data-warehouse.md
+++ b/docs/content/posts/2020-03-27-flink-for-data-warehouse.md
@@ -12,9 +12,6 @@ aliases:
In this blog post, you will learn our motivation behind the Flink-Hive integration, and how Flink 1.10 can help modernize your data warehouse.
-{% toc %}
-
-
## Introduction
What are some of the latest requirements for your data warehouse and data infrastructure in 2020?
diff --git a/docs/content/posts/2020-03-30-community-update.md b/docs/content/posts/2020-03-30-community-update.md
index e138d2682..e710dbfa8 100644
--- a/docs/content/posts/2020-03-30-community-update.md
+++ b/docs/content/posts/2020-03-30-community-update.md
@@ -17,8 +17,6 @@ While things slow down around us, the Apache Flink community is privileged to re
And since now it's more important than ever to keep up the spirits, we’d like to invite you to join the [Flink Forward Virtual Conference](https://www.flink-forward.org/sf-2020), on April 22-24 (see [Upcoming Events](#upcoming-events)). Hope to see you there!
-{% toc %}
-
# The Year (so far) in Flink
## Flink 1.10 Release
diff --git a/docs/content/posts/2020-04-07-release-statefun-2.0.0.md b/docs/content/posts/2020-04-07-release-statefun-2.0.0.md
index 7b939c0bd..873e28170 100644
--- a/docs/content/posts/2020-04-07-release-statefun-2.0.0.md
+++ b/docs/content/posts/2020-04-07-release-statefun-2.0.0.md
@@ -18,9 +18,6 @@ Stateful Functions 2.0 makes it possible to combine StateFun’s powerful approa
With these features, Stateful Functions 2.0 addresses [two of the most cited shortcomings](https://www2.eecs.berkeley.edu/Pubs/TechRpts/2019/EECS-2019-3.pdf) of many FaaS setups today: consistent state and efficient messaging between functions.
-{% toc %}
-
-
## An Event-driven Database
When Stateful Functions joined Apache Flink at the beginning of this year, the project had started as a library on top of Flink to build general-purpose event-driven applications. Users would implement _functions_ that receive and send messages, and maintain state in persistent variables. Flink provided the runtime with efficient exactly-once state and messaging. Stateful Functions 1.0 was a FaaS-inspired mix between stream processing and actor programming — on steroids.
diff --git a/docs/content/posts/2020-04-15-flink-serialization-tuning-vol-1.md b/docs/content/posts/2020-04-15-flink-serialization-tuning-vol-1.md
index 9f3218ced..70c0f5e04 100644
--- a/docs/content/posts/2020-04-15-flink-serialization-tuning-vol-1.md
+++ b/docs/content/posts/2020-04-15-flink-serialization-tuning-vol-1.md
@@ -15,8 +15,6 @@ Almost every Flink job has to exchange data between its operators and since thes
Since serialization is so crucial to your Flink job, we would like to highlight Flink’s serialization stack in a series of blog posts starting with looking at the different ways Flink can serialize your data types.
-{% toc %}
-
# Recap: Flink Serialization
Flink handles [data types and serialization]({{< param DocsBaseUrl >}}flink-docs-release-1.10/dev/types_serialization.html) with its own type descriptors, generic type extraction, and type serialization framework. We recommend reading through the [documentation]({{< param DocsBaseUrl >}}flink-docs-release-1.10/dev/types_serialization.html) first in order to be able to follow the arguments we present below. In essence, Flink tries to infer information about your job’s data types for wire [...]
diff --git a/docs/content/posts/2020-05-06-community-update.md b/docs/content/posts/2020-05-06-community-update.md
index 0eac8912e..5d1a52da3 100644
--- a/docs/content/posts/2020-05-06-community-update.md
+++ b/docs/content/posts/2020-05-06-community-update.md
@@ -17,8 +17,6 @@ Can you smell it? It’s release month! It took a while, but now that we’re [a
Last month also marked the debut of Flink Forward Virtual Conference 2020: what did you think? If you missed it altogether or just want to recap some of the sessions, the [videos](https://www.youtube.com/playlist?list=PLDX4T_cnKjD0ngnBSU-bYGfgVv17MiwA7) and [slides](https://www.slideshare.net/FlinkForward) are now available!
-{% toc %}
-
# The Past Month in Flink
## Flink Stateful Functions 2.0 is out!
diff --git a/docs/content/posts/2020-06-09-release-statefun-2.1.0.md b/docs/content/posts/2020-06-09-release-statefun-2.1.0.md
index 49c5de5a3..56845f3bc 100644
--- a/docs/content/posts/2020-06-09-release-statefun-2.1.0.md
+++ b/docs/content/posts/2020-06-09-release-statefun-2.1.0.md
@@ -13,9 +13,6 @@ The Apache Flink community is happy to announce the release of Stateful Function
The binary distribution and source artifacts are now available on the updated [Downloads](https://flink.apache.org/downloads.html) page of the Flink website, and the most recent Python SDK distribution is available on [PyPI](https://pypi.org/project/apache-flink-statefun/). For more details, check the complete [release changelog](https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12315522&version=12347861) and the [updated documentation]({{< param DocsBaseUrl >}}flink-state [...]
-{% toc %}
-
-
## New Features and Improvements
### Support for State Time-To-Live (TTL)
diff --git a/docs/content/posts/2020-06-10-community-update.md b/docs/content/posts/2020-06-10-community-update.md
index b7b034b75..d0d4da1ee 100644
--- a/docs/content/posts/2020-06-10-community-update.md
+++ b/docs/content/posts/2020-06-10-community-update.md
@@ -17,8 +17,6 @@ And suddenly it’s June. The previous month has been calm on the surface, but q
To top it off, a piece of good news: [Flink Forward](https://www.flink-forward.org/global-2020) is back on October 19-22 as a free virtual event!
-{% toc %}
-
# The Past Month in Flink
## Flink Stateful Functions 2.1 Release
diff --git a/docs/content/posts/2020-07-06-release-1.11.0.md b/docs/content/posts/2020-07-06-release-1.11.0.md
index abf7a77ad..30ec33a77 100644
--- a/docs/content/posts/2020-07-06-release-1.11.0.md
+++ b/docs/content/posts/2020-07-06-release-1.11.0.md
@@ -29,8 +29,6 @@ The Apache Flink community is proud to announce the release of Flink 1.11.0! Mor
Read on for all major new features and improvements, important changes to be aware of and what to expect moving forward!
-{% toc %}
-
The binary distribution and source artifacts are now available on the updated [Downloads page](/downloads.html) of the Flink website, and the most recent distribution of PyFlink is available on [PyPI](https://pypi.org/project/apache-flink/). Please review the [release notes]({{< param DocsBaseUrl >}}flink-docs-release-1.11/release-notes/flink-1.11.html) carefully, and check the complete [release changelog](https://issues.apache.org/jira/secure/ReleaseNote.jspa?version=12346364&styleName= [...]
We encourage you to download the release and share your feedback with the community through the [Flink mailing lists](https://flink.apache.org/community.html#mailing-lists) or [JIRA](https://issues.apache.org/jira/projects/FLINK/summary).
diff --git a/docs/content/posts/2020-07-29-community-update.md b/docs/content/posts/2020-07-29-community-update.md
index b28f2b335..177c122a5 100644
--- a/docs/content/posts/2020-07-29-community-update.md
+++ b/docs/content/posts/2020-07-29-community-update.md
@@ -18,8 +18,6 @@ As July draws to an end, we look back at a monthful of activity in the Flink com
Also, events are starting to pick up again, so we've put together a list of some great ones you can (virtually) attend in August!
-{% toc %}
-
# The Past Month in Flink
## Flink Releases
diff --git a/docs/content/posts/2020-09-04-community-update.md b/docs/content/posts/2020-09-04-community-update.md
index a4ff35592..ebe1087c1 100644
--- a/docs/content/posts/2020-09-04-community-update.md
+++ b/docs/content/posts/2020-09-04-community-update.md
@@ -14,8 +14,6 @@ aliases:
Ah, so much for a quiet August month. This time around, we bring you some new Flink Improvement Proposals (FLIPs), a preview of the upcoming [Flink Stateful Functions]({{< param DocsBaseUrl >}}flink-statefun-docs-master/) 2.2 release and a look into how far Flink has come in comparison to 2019.
-{% toc %}
-
# The Past Month in Flink
## Flink Releases
diff --git a/docs/content/posts/2020-09-28-release-statefun-2.2.0.md b/docs/content/posts/2020-09-28-release-statefun-2.2.0.md
index f8e707aee..91dc4091a 100644
--- a/docs/content/posts/2020-09-28-release-statefun-2.2.0.md
+++ b/docs/content/posts/2020-09-28-release-statefun-2.2.0.md
@@ -28,7 +28,6 @@ For more details, check the complete [release changelog](https://issues.apache.o
and the [updated documentation]({{< param DocsBaseUrl >}}flink-statefun-docs-release-2.2/).
We encourage you to download the release and share your feedback with the community through the [Flink mailing lists](https://flink.apache.org/community.html#mailing-lists)
or [JIRA](https://issues.apache.org/jira/browse/)!
-{% toc %}
## New Features
diff --git a/docs/content/posts/2020-10-13-stateful-serverless-internals.md b/docs/content/posts/2020-10-13-stateful-serverless-internals.md
index 4c59aa350..32993e16e 100644
--- a/docs/content/posts/2020-10-13-stateful-serverless-internals.md
+++ b/docs/content/posts/2020-10-13-stateful-serverless-internals.md
@@ -28,8 +28,6 @@ a popular FaaS platform among many others. The goal here is to allow readers to
the StateFun runtime and the functions, how that works cohesively to provide a Stateful Serverless experience, and how they can apply
what they've learnt to deploy their StateFun applications on other public cloud offerings such as GCP or Microsoft Azure.
-{% toc %}
-
## Introducing the example: Shopping Cart
<div class="alert alert-info" markdown="1">
diff --git a/docs/content/posts/2020-12-02-pipelined-region-sheduling.md b/docs/content/posts/2020-12-02-pipelined-region-sheduling.md
index bad6cdc1a..be06ebb86 100644
--- a/docs/content/posts/2020-12-02-pipelined-region-sheduling.md
+++ b/docs/content/posts/2020-12-02-pipelined-region-sheduling.md
@@ -18,8 +18,6 @@ to low-level operator processes such as task scheduling. In this blogpost, we’
the community has come in improving scheduling for batch workloads, why this matters and what you can expect in the
Flink 1.12 release with the new _pipelined region scheduler_.
-{% toc %}
-
# Towards unified scheduling
Flink has an internal [scheduler](#what-is-scheduling) to distribute work to all available cluster nodes, taking resource utilization, state locality and recovery into account.
diff --git a/docs/content/posts/2020-12-10-release-1.12.0.md b/docs/content/posts/2020-12-10-release-1.12.0.md
index 558e7d6ca..8664184e5 100644
--- a/docs/content/posts/2020-12-10-release-1.12.0.md
+++ b/docs/content/posts/2020-12-10-release-1.12.0.md
@@ -34,8 +34,6 @@ The Apache Flink community is excited to announce the release of Flink 1.12.0! C
This blog post describes all major new features and improvements, important changes to be aware of and what to expect moving forward.
-{% toc %}
-
The binary distribution and source artifacts are now available on the updated [Downloads page](/downloads.html) of the Flink website, and the most recent distribution of PyFlink is available on [PyPI](https://pypi.org/project/apache-flink/). Please review the [release notes]({{< param DocsBaseUrl >}}flink-docs-release-1.12/release-notes/flink-1.12.html) carefully, and check the complete [release changelog](https://issues.apache.org/jira/secure/ReleaseNote.jspa?version=12348263&styleName= [...]
We encourage you to download the release and share your feedback with the community through the [Flink mailing lists](https://flink.apache.org/community.html#mailing-lists) or [JIRA](https://issues.apache.org/jira/projects/FLINK/summary).
diff --git a/docs/content/posts/2021-01-11-batch-fine-grained-fault-tolerance.md b/docs/content/posts/2021-01-11-batch-fine-grained-fault-tolerance.md
index 00e6c5eb9..7a4ec9331 100644
--- a/docs/content/posts/2021-01-11-batch-fine-grained-fault-tolerance.md
+++ b/docs/content/posts/2021-01-11-batch-fine-grained-fault-tolerance.md
@@ -13,8 +13,6 @@ aliases:
- /news/2021/01/11/batch-fine-grained-fault-tolerance.html
---
-{% toc %}
-
Apache Flink is a very versatile tool for all kinds of data processing workloads. It can process incoming data within a few milliseconds or crunch through petabytes of bounded datasets (also known as batch processing).
Processing efficiency is not the only parameter users of data processing systems care about. In the real world, system outages due to hardware or software failure are expected to happen all the time. For unbounded (or streaming) workloads, Flink is using periodic checkpoints to allow for reliable and correct recovery. In case of bounded data sets, having a reliable recovery mechanism is mission critical — as users do not want to potentially lose many hours of intermediate processing results.
diff --git a/docs/content/posts/2021-03-11-batch-execution-mode.md b/docs/content/posts/2021-03-11-batch-execution-mode.md
index ba4c5328b..60d567106 100644
--- a/docs/content/posts/2021-03-11-batch-execution-mode.md
+++ b/docs/content/posts/2021-03-11-batch-execution-mode.md
@@ -12,8 +12,6 @@ aliases:
- /2021/03/11/batch-execution-mode.html
---
-{% toc %}
-
Flink has been following the mantra that [Batch is a Special Case of Streaming](https://flink.apache.org/news/2019/02/13/unified-batch-streaming-blink.html) since the very early days. As the project evolved to address specific uses cases, different core APIs ended up being implemented for _batch_ (DataSet API) and _streaming_ execution (DataStream API), but the higher-level Table API/SQL was subsequently designed following this mantra of _unification_. With Flink 1.12, the community work [...]
The idea behind making the DataStream API a unified abstraction for _batch_ and _streaming_ execution instead of maintaining separate APIs is two-fold:
diff --git a/docs/content/posts/2021-04-15-release-statefun-3.0.0.md b/docs/content/posts/2021-04-15-release-statefun-3.0.0.md
index 4ff55d340..4265d17ab 100644
--- a/docs/content/posts/2021-04-15-release-statefun-3.0.0.md
+++ b/docs/content/posts/2021-04-15-release-statefun-3.0.0.md
@@ -23,8 +23,6 @@ separates the application logic from the StateFun cluster the default. It is now
ergonomic to write applications that live in their own processes or containers. With the new Java SDK this is now also
possible for all JVM languages, in addition to Python.
-{% toc %}
-
## Background
Starting with the first StateFun release, before the project was donated to the Apache Software Foundation, our focus was: **making scalable stateful applications easy to build and run**.
diff --git a/docs/content/posts/2021-05-03-release-1.13.0.md b/docs/content/posts/2021-05-03-release-1.13.0.md
index 9e51971f3..fb491e66c 100644
--- a/docs/content/posts/2021-05-03-release-1.13.0.md
+++ b/docs/content/posts/2021-05-03-release-1.13.0.md
@@ -36,8 +36,6 @@ some of which we discuss in this article. We hope you enjoy the new release and
Towards the end of the article, we describe changes to be aware of when upgrading
from earlier versions of Apache Flink.
-{% toc %}
-
We encourage you to [download the release](https://flink.apache.org/downloads.html) and share your
feedback with the community through
the [Flink mailing lists](https://flink.apache.org/community.html#mailing-lists)
diff --git a/docs/content/posts/2021-05-06-reactive-mode.md b/docs/content/posts/2021-05-06-reactive-mode.md
index d5e7a310a..608dc5b6a 100644
--- a/docs/content/posts/2021-05-06-reactive-mode.md
+++ b/docs/content/posts/2021-05-06-reactive-mode.md
@@ -13,8 +13,6 @@ aliases:
- /2021/05/06/reactive-mode.html
---
-{% toc %}
-
## Introduction
Streaming jobs which run for several days or longer usually experience variations in workload during their lifetime. These variations can originate from seasonal spikes, such as day vs. night, weekdays vs. weekend or holidays vs. non-holidays, sudden events or simply the growing popularity of your product. Although some of these variations are more predictable than others, in all cases there is a change in job resource demand that needs to be addressed if you want to ensure the same qual [...]
diff --git a/docs/content/posts/2021-07-07-backpressure.md b/docs/content/posts/2021-07-07-backpressure.md
index 09bc4a4eb..799b29623 100644
--- a/docs/content/posts/2021-07-07-backpressure.md
+++ b/docs/content/posts/2021-07-07-backpressure.md
@@ -12,8 +12,6 @@ aliases:
- /2021/07/07/backpressure.html
---
-{% toc %}
-
<div class="row front-graphic">
<img src="/img/blog/2021-07-07-backpressure/animated.png" alt="Backpressure monitoring in the web UI"/>
<p class="align-center">Backpressure monitoring in the web UI</p>
diff --git a/docs/content/posts/2021-08-31-release-statefun-3.1.0.md b/docs/content/posts/2021-08-31-release-statefun-3.1.0.md
index cba013aa0..ddf3c2d71 100644
--- a/docs/content/posts/2021-08-31-release-statefun-3.1.0.md
+++ b/docs/content/posts/2021-08-31-release-statefun-3.1.0.md
@@ -29,8 +29,6 @@ and the [updated documentation]({{< param DocsBaseUrl >}}flink-statefun-docs-rel
We encourage you to download the release and share your feedback with the community through the [Flink mailing lists](https://flink.apache.org/community.html#mailing-lists)
or [JIRA](https://issues.apache.org/jira/browse/)!
-{% toc %}
-
## New Features
### Delayed Message Cancellation
diff --git a/docs/content/posts/2021-09-07-connector-table-sql-api-part1.md b/docs/content/posts/2021-09-07-connector-table-sql-api-part1.md
index 0b19b861c..58433c913 100644
--- a/docs/content/posts/2021-09-07-connector-table-sql-api-part1.md
+++ b/docs/content/posts/2021-09-07-connector-table-sql-api-part1.md
@@ -12,8 +12,6 @@ aliases:
Part one of this tutorial will teach you how to build and run a custom source connector to be used with Table API and SQL, two high-level abstractions in Flink. The tutorial comes with a bundled [docker-compose](https://docs.docker.com/compose/) setup that lets you easily run the connector. You can then try it out with Flink’s SQL client.
-{% toc %}
-
# Introduction
Apache Flink is a data processing engine that aims to keep [state](https://ci.apache.org/projects/flink/flink-docs-release-1.13/docs/ops/state/state_backends/) locally in order to do computations efficiently. However, Flink does not "own" the data but relies on external systems to ingest and persist data. Connecting to external data input (**sources**) and external data storage (**sinks**) is usually summarized under the term **connectors** in Flink.
diff --git a/docs/content/posts/2021-09-07-connector-table-sql-api-part2.md b/docs/content/posts/2021-09-07-connector-table-sql-api-part2.md
index e6fdc0a35..325df0734 100644
--- a/docs/content/posts/2021-09-07-connector-table-sql-api-part2.md
+++ b/docs/content/posts/2021-09-07-connector-table-sql-api-part2.md
@@ -12,8 +12,6 @@ aliases:
In [part one](/2021/09/07/connector-table-sql-api-part1) of this tutorial, you learned how to build a custom source connector for Flink. In part two, you will learn how to integrate the connector with a test email inbox through the IMAP protocol and filter out emails using Flink SQL.
-{% toc %}
-
# Goals
Part two of the tutorial will teach you how to:
diff --git a/docs/content/posts/2021-09-29-release-1.14.0.md b/docs/content/posts/2021-09-29-release-1.14.0.md
index 05893aafc..d8a988e14 100644
--- a/docs/content/posts/2021-09-29-release-1.14.0.md
+++ b/docs/content/posts/2021-09-29-release-1.14.0.md
@@ -58,8 +58,6 @@ most prominently we are **removing the old SQL execution engine** and are
We hope you like the new release and we'd be eager to learn about your experience with it, which yet
unsolved problems it solves, what new use-cases it unlocks for you.
-{% toc %}
-
# The Unified Batch and Stream Processing Experience
One of Flink's unique characteristics is how it integrates stream- and batch processing,
diff --git a/docs/content/posts/2021-10-26-sort-shuffle-part1.md b/docs/content/posts/2021-10-26-sort-shuffle-part1.md
index 463a8ce80..c5b82b42c 100644
--- a/docs/content/posts/2021-10-26-sort-shuffle-part1.md
+++ b/docs/content/posts/2021-10-26-sort-shuffle-part1.md
@@ -15,8 +15,6 @@ aliases:
Part one of this blog post will explain the motivation behind introducing sort-based blocking shuffle, present benchmark results, and provide guidelines on how to use this new feature.
-{% toc %}
-
# How data gets passed around between operators
Data shuffling is an important stage in batch processing applications and describes how data is sent from one operator to the next. In this phase, output data of the upstream operator will spill over to persistent storages like disk, then the downstream operator will read the corresponding data and process it. Blocking shuffle means that intermediate results from operator A are not sent immediately to operator B until operator A has completely finished.
diff --git a/docs/content/posts/2021-10-26-sort-shuffle-part2.md b/docs/content/posts/2021-10-26-sort-shuffle-part2.md
index 5f9f389c6..ef41f92b5 100644
--- a/docs/content/posts/2021-10-26-sort-shuffle-part2.md
+++ b/docs/content/posts/2021-10-26-sort-shuffle-part2.md
@@ -19,8 +19,6 @@ Like sort-merge shuffle implemented by other distributed data processing framewo
In part two of this blog post, we will give you insight into some core design considerations and implementation details of the sort-based blocking shuffle in Flink and list several ideas for future improvement.
-{% toc %}
-
# Design considerations
There are several core objectives we want to achieve for the new sort-based blocking shuffle to be implemented Flink:
diff --git a/docs/content/posts/2021-11-03-flink-backward.md b/docs/content/posts/2021-11-03-flink-backward.md
index 90a616dad..486d1ce6e 100644
--- a/docs/content/posts/2021-11-03-flink-backward.md
+++ b/docs/content/posts/2021-11-03-flink-backward.md
@@ -11,8 +11,6 @@ aliases:
It has now been a month since the community released [Apache Flink 1.14](https://flink.apache.org/downloads.html#apache-flink-1140) into the wild. We had a comprehensive look at the enhancements, additions, and fixups in the release announcement blog post, and now we will look at the development cycle from a different angle. Based on feedback collected from contributors involved in this release, we will explore the experiences and processes behind it all.
-{% toc %}
-
# A retrospective on the release cycle
From the team, we collected emotions that have been attributed to points in time of the 1.14 release cycle:
diff --git a/docs/content/posts/2022-01-04-scheduler-performance-part-two.md b/docs/content/posts/2022-01-04-scheduler-performance-part-two.md
index 21998360a..c2527029f 100644
--- a/docs/content/posts/2022-01-04-scheduler-performance-part-two.md
+++ b/docs/content/posts/2022-01-04-scheduler-performance-part-two.md
@@ -21,8 +21,6 @@ aliases:
[Part one](/2022/01/04/scheduler-performance-part-one) of this blog post briefly introduced the optimizations we’ve made to improve the performance of the scheduler; compared to Flink 1.12, the time cost and memory usage of scheduling large-scale jobs in Flink 1.14 is significantly reduced. In part two, we will elaborate on the details of these optimizations.
-{% toc %}
-
# Reducing complexity with groups
A distribution pattern describes how consumer tasks are connected to producer tasks. Currently, there are two distribution patterns in Flink: pointwise and all-to-all. When the distribution pattern is pointwise between two vertices, the [computational complexity](https://en.wikipedia.org/wiki/Big_O_notation) of traversing all edges is O(n). When the distribution pattern is all-to-all, the complexity of traversing all edges is O(n<sup>2</sup>), which means that complexity increases rapidl [...]
diff --git a/docs/content/posts/2022-01-07-release-ml-2.0.0.md b/docs/content/posts/2022-01-07-release-ml-2.0.0.md
index 123f5d584..752277d12 100644
--- a/docs/content/posts/2022-01-07-release-ml-2.0.0.md
+++ b/docs/content/posts/2022-01-07-release-ml-2.0.0.md
@@ -37,8 +37,6 @@ the community through the Flink [mailing lists](https://flink.apache.org/communi
[JIRA](https://issues.apache.org/jira/browse/flink)! We hope you like the new
release and we’d be eager to learn about your experience with it.
-{% toc %}
-
# Notable Features
## API and Infrastructure
diff --git a/docs/content/posts/2022-01-20-pravega-connector-101.md b/docs/content/posts/2022-01-20-pravega-connector-101.md
index bcd8fe567..2092e84e5 100644
--- a/docs/content/posts/2022-01-20-pravega-connector-101.md
+++ b/docs/content/posts/2022-01-20-pravega-connector-101.md
@@ -25,8 +25,6 @@ These key features make streaming pipeline applications easier to develop withou
In this blog post, we will discuss how to use this connector to read and write Pravega streams with the Flink DataStream API.
-{% toc %}
-
# Basic usages
## Dependency
diff --git a/docs/content/posts/2022-01-31-release-statefun-3.2.0.md b/docs/content/posts/2022-01-31-release-statefun-3.2.0.md
index 331602d12..3eab9bc46 100644
--- a/docs/content/posts/2022-01-31-release-statefun-3.2.0.md
+++ b/docs/content/posts/2022-01-31-release-statefun-3.2.0.md
@@ -26,8 +26,6 @@ and the [updated documentation]({{< param DocsBaseUrl >}}flink-statefun-docs-rel
We encourage you to download the release and share your feedback with the community through the [Flink mailing lists](https://flink.apache.org/community.html#mailing-lists)
or [JIRA](https://issues.apache.org/jira/browse/)!
-{% toc %}
-
## New Features
### A brand new JavaScript SDK for NodeJS
diff --git a/docs/content/posts/2022-02-22-scala-free.md b/docs/content/posts/2022-02-22-scala-free.md
index c8dba728f..77a8ec7dc 100644
--- a/docs/content/posts/2022-02-22-scala-free.md
+++ b/docs/content/posts/2022-02-22-scala-free.md
@@ -31,8 +31,6 @@ To remove Scala from the user-code classpath, remove this jar from the lib direc
</div>
-{% toc %}
-
## The Classpath and Scala
If you have worked with a JVM-based application, you have probably heard the term classpath.
diff --git a/docs/content/posts/2022-03-16-async-sink-base.md b/docs/content/posts/2022-03-16-async-sink-base.md
index 935d1048f..38670f42d 100644
--- a/docs/content/posts/2022-03-16-async-sink-base.md
+++ b/docs/content/posts/2022-03-16-async-sink-base.md
@@ -22,8 +22,6 @@ The sink base is designed to participate in checkpointing to provide at-least-on
In this post, we will go over the details of the AsyncSinkBase so that you can start using it to build your own concrete sink.
-{% toc %}
-
# Adding the base sink as a dependency
In order to use the base sink, you will need to add the following dependency to your project. The example below follows the Maven syntax:
diff --git a/docs/content/posts/2022-05-06-pyflink-1.15-thread-mode.md b/docs/content/posts/2022-05-06-pyflink-1.15-thread-mode.md
index c0902fa30..b876563c4 100644
--- a/docs/content/posts/2022-05-06-pyflink-1.15-thread-mode.md
+++ b/docs/content/posts/2022-05-06-pyflink-1.15-thread-mode.md
@@ -24,8 +24,6 @@ In Flink 1.15, we have introduced a new execution mode named 'thread' mode (base
a thread instead of a separate Python process. In this article, we will dig into the details about this execution mode and also share some benchmark data to
give users a basic understanding of how it works and which scenarios it’s applicable for.
-{% toc %}
-
## Process Mode
<center>
diff --git a/docs/content/posts/2022-05-06-restore-modes.md b/docs/content/posts/2022-05-06-restore-modes.md
index 2adc58f41..da7284bea 100644
--- a/docs/content/posts/2022-05-06-restore-modes.md
+++ b/docs/content/posts/2022-05-06-restore-modes.md
@@ -23,8 +23,6 @@ snapshotting process. Snapshotting takes a global, consistent image of the state
This post will outline the journey of improving snapshotting in past releases and the upcoming improvements in Flink 1.15, which includes making it possible to take savepoints in the native state backend specific format as well as clarifying snapshots ownership.
-{% toc %}
-
# Past improvements to the snapshotting process
Flink 1.13 was the first release where we announced [unaligned checkpoints]({{< param DocsBaseUrl >}}flink-docs-release-1.15/docs/concepts/stateful-stream-processing/#unaligned-checkpointing) to be production-ready. We
diff --git a/docs/content/posts/2022-06-17-adaptive-batch-scheduler.md b/docs/content/posts/2022-06-17-adaptive-batch-scheduler.md
index 88c77b6df..8f644faae 100644
--- a/docs/content/posts/2022-06-17-adaptive-batch-scheduler.md
+++ b/docs/content/posts/2022-06-17-adaptive-batch-scheduler.md
@@ -14,8 +14,6 @@ aliases:
- /2022/06/17/adaptive-batch-scheduler.html
---
-{% toc %}
-
# Introduction
Deciding proper parallelisms of operators is not an easy work for many users. For batch jobs, a small parallelism may result in long execution time and big failover regression. While an unnecessary large parallelism may result in resource waste and more overhead cost in task deployment and network shuffling.
diff --git a/docs/content/posts/2022-07-12-release-ml-2.1.0.md b/docs/content/posts/2022-07-12-release-ml-2.1.0.md
index 55e20634b..a052798d8 100644
--- a/docs/content/posts/2022-07-12-release-ml-2.1.0.md
+++ b/docs/content/posts/2022-07-12-release-ml-2.1.0.md
@@ -38,8 +38,6 @@ and share your feedback with the community through the Flink
[JIRA](https://issues.apache.org/jira/browse/flink)! We hope you like the new
release and we’d be eager to learn about your experience with it.
-{% toc %}
-
# Notable Features
## API and Infrastructure