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new ec517ac85 [hotfix] Fix the format of the 1.16-announcement
ec517ac85 is described below
commit ec517ac8573639d2f40777e241b4a5c84e149bb8
Author: huangxingbo <h...@apache.org>
AuthorDate: Fri Oct 28 18:18:24 2022 +0800
[hotfix] Fix the format of the 1.16-announcement
---
_posts/2022-10-28-1.16-announcement.md | 5 ++
content/news/2022/10/28/1.16-announcement.html | 104 +++++++++++++++----------
2 files changed, 66 insertions(+), 43 deletions(-)
diff --git a/_posts/2022-10-28-1.16-announcement.md
b/_posts/2022-10-28-1.16-announcement.md
index eff11a596..1d3b5c719 100644
--- a/_posts/2022-10-28-1.16-announcement.md
+++ b/_posts/2022-10-28-1.16-announcement.md
@@ -156,6 +156,7 @@ to display multiple concurrent attempts of tasks and
blocked task managers.
We have introduced a new [Hybrid
Shuffle](https://nightlies.apache.org/flink/flink-docs-release-1.16/docs/ops/batch/batch_shuffle)
Mode for batch executions. It combines the advantages of blocking shuffle and
pipelined shuffle (in streaming mode).
+
- Like blocking shuffle, it does not require upstream and downstream tasks to
run simultaneously,
which allows executing a job with little resources.
- Like pipelined shuffle, it does not require downstream tasks to be executed
@@ -200,6 +201,7 @@ so that stream computing can continue to lead.
Changelog state backend aims at making checkpoint intervals shorter and more
predictable,
this release is prod-ready and is dedicated to adapting changelog state
backend to
the existing state backends and improving the usability of changelog state
backend:
+
- Support state migration
- Support local recovery
- Introduce file cache to optimize restoring
@@ -285,6 +287,7 @@ in [the
documentation](https://nightlies.apache.org/flink/flink-docs-release-1.1
## Enhanced Lookup Join
Lookup join is widely used in stream processing, and we have introduced
several improvements:
+
- Adds a unified abstraction for lookup source cache and
[related
metrics](https://cwiki.apache.org/confluence/display/FLINK/FLIP-221%3A+Abstraction+for+lookup+source+cache+and+metric)
to speed up lookup queries
@@ -324,6 +327,7 @@ kinds of Flink jobs using Python language smoothly.
## New SQL Syntax
In 1.16, we extend more DDL syntaxes which could help users to better use SQL:
+
- [USING
JAR](https://nightlies.apache.org/flink/flink-docs-release-1.16/docs/dev/table/sql/create/#create-function)
supports dynamic loading of UDF jar to help platform developers to easily
manage UDF.
- [CREATE TABLE AS
SELECT](https://nightlies.apache.org/flink/flink-docs-release-1.16/docs/dev/table/sql/create/#as-select_statement)
(CTAS)
@@ -343,6 +347,7 @@ This feature is very useful for ML and interactive
programming in Python.
## History Server & Completed Jobs Information Enhancement
We have enhanced the experiences of viewing completed jobs’ information in
this release.
+
- JobManager / HistoryServer WebUI now provides detailed execution time
metrics,
including duration tasks spent in each execution state and the accumulated
busy / idle / back-pressured time during running.
diff --git a/content/news/2022/10/28/1.16-announcement.html
b/content/news/2022/10/28/1.16-announcement.html
index a671c833a..aac16c5e1 100644
--- a/content/news/2022/10/28/1.16-announcement.html
+++ b/content/news/2022/10/28/1.16-announcement.html
@@ -394,14 +394,17 @@ to display multiple concurrent attempts of tasks and
blocked task managers.</p>
<p>We have introduced a new <a
href="https://nightlies.apache.org/flink/flink-docs-release-1.16/docs/ops/batch/batch_shuffle";>Hybrid
Shuffle</a>
Mode for batch executions. It combines the advantages of blocking shuffle and
-pipelined shuffle (in streaming mode).
- - Like blocking shuffle, it does not require upstream and downstream tasks to
run simultaneously,
- which allows executing a job with little resources.
- - Like pipelined shuffle, it does not require downstream tasks to be executed
- after upstream tasks finish, which reduces the overall execution time of
the job when
- given sufficient resources.
- - It adapts to custom preferences between persisting less data and restarting
less tasks on failures,
- by providing different spilling strategies.</p>
+pipelined shuffle (in streaming mode).</p>
+
+<ul>
+ <li>Like blocking shuffle, it does not require upstream and downstream tasks
to run simultaneously,
+which allows executing a job with little resources.</li>
+ <li>Like pipelined shuffle, it does not require downstream tasks to be
executed
+after upstream tasks finish, which reduces the overall execution time of the
job when
+given sufficient resources.</li>
+ <li>It adapts to custom preferences between persisting less data and
restarting less tasks on failures,
+by providing different spilling strategies.</li>
+</ul>
<p>Note: This feature is experimental and by default not activated.</p>
@@ -438,14 +441,20 @@ so that stream computing can continue to lead.</p>
<p>Changelog state backend aims at making checkpoint intervals shorter and
more predictable,
this release is prod-ready and is dedicated to adapting changelog state
backend to
-the existing state backends and improving the usability of changelog state
backend:
- - Support state migration
- - Support local recovery
- - Introduce file cache to optimize restoring
- - Support switch based on checkpoint
- - Improve the monitoring experience of changelog state backend
- - expose changelog’s metrics
- - expose changelog’s configuration to webUI</p>
+the existing state backends and improving the usability of changelog state
backend:</p>
+
+<ul>
+ <li>Support state migration</li>
+ <li>Support local recovery</li>
+ <li>Introduce file cache to optimize restoring</li>
+ <li>Support switch based on checkpoint</li>
+ <li>Improve the monitoring experience of changelog state backend
+ <ul>
+ <li>expose changelog’s metrics</li>
+ <li>expose changelog’s configuration to webUI</li>
+ </ul>
+ </li>
+</ul>
<p>Table 1: The comparison between Changelog Enabled / Changelog Disabled on
value state
(see <a
href="https://flink.apache.org/2022/05/30/changelog-state-backend.html";>this
blog</a> for more details)</p>
@@ -553,16 +562,19 @@ in <a
href="https://nightlies.apache.org/flink/flink-docs-release-1.16/docs/dev/
<h2 id="enhanced-lookup-join">Enhanced Lookup Join</h2>
-<p>Lookup join is widely used in stream processing, and we have introduced
several improvements:
-- Adds a unified abstraction for lookup source cache and
- <a
href="https://cwiki.apache.org/confluence/display/FLINK/FLIP-221%3A+Abstraction+for+lookup+source+cache+and+metric";>related
metrics</a>
- to speed up lookup queries
-- Introduces the configurable asynchronous mode (ALLOW_UNORDERED) via
- <a
href="https://nightlies.apache.org/flink/flink-docs-release-1.16/docs/dev/table/config/#table-exec-async-lookup-output-mode";>job
configuration</a>
- or <a
href="https://nightlies.apache.org/flink/flink-docs-release-1.16/docs/dev/table/sql/queries/hints/#lookup";>lookup
hint</a>
- to significantly improve query throughput without compromising correctness.
-- <a
href="https://nightlies.apache.org/flink/flink-docs-master/docs/dev/table/sql/queries/hints/#3-enable-delayed-retry-strategy-for-lookup";>Retryable
lookup mechanism</a>
- gives users more tools to solve the delayed updates issue in external
systems.</p>
+<p>Lookup join is widely used in stream processing, and we have introduced
several improvements:</p>
+
+<ul>
+ <li>Adds a unified abstraction for lookup source cache and
+<a
href="https://cwiki.apache.org/confluence/display/FLINK/FLIP-221%3A+Abstraction+for+lookup+source+cache+and+metric";>related
metrics</a>
+to speed up lookup queries</li>
+ <li>Introduces the configurable asynchronous mode (ALLOW_UNORDERED) via
+<a
href="https://nightlies.apache.org/flink/flink-docs-release-1.16/docs/dev/table/config/#table-exec-async-lookup-output-mode";>job
configuration</a>
+or <a
href="https://nightlies.apache.org/flink/flink-docs-release-1.16/docs/dev/table/sql/queries/hints/#lookup";>lookup
hint</a>
+to significantly improve query throughput without compromising
correctness.</li>
+ <li><a
href="https://nightlies.apache.org/flink/flink-docs-master/docs/dev/table/sql/queries/hints/#3-enable-delayed-retry-strategy-for-lookup";>Retryable
lookup mechanism</a>
+gives users more tools to solve the delayed updates issue in external
systems.</li>
+</ul>
<h2 id="retry-support-for-async-io">Retry Support For Async I/O</h2>
@@ -592,14 +604,17 @@ kinds of Flink jobs using Python language smoothly.</p>
<h2 id="new-sql-syntax">New SQL Syntax</h2>
-<p>In 1.16, we extend more DDL syntaxes which could help users to better use
SQL:
-- <a
href="https://nightlies.apache.org/flink/flink-docs-release-1.16/docs/dev/table/sql/create/#create-function";>USING
JAR</a>
- supports dynamic loading of UDF jar to help platform developers to easily
manage UDF.
-- <a
href="https://nightlies.apache.org/flink/flink-docs-release-1.16/docs/dev/table/sql/create/#as-select_statement";>CREATE
TABLE AS SELECT</a> (CTAS)
- supports users to create new tables based on existing tables and queries.
-- <a
href="https://nightlies.apache.org/flink/flink-docs-release-1.16/zh/docs/dev/table/sql/analyze";>ANALYZE
TABLE</a>
- supports users to manually generate table statistics so that the optimizer
could
- generate better execution plans.</p>
+<p>In 1.16, we extend more DDL syntaxes which could help users to better use
SQL:</p>
+
+<ul>
+ <li><a
href="https://nightlies.apache.org/flink/flink-docs-release-1.16/docs/dev/table/sql/create/#create-function";>USING
JAR</a>
+supports dynamic loading of UDF jar to help platform developers to easily
manage UDF.</li>
+ <li><a
href="https://nightlies.apache.org/flink/flink-docs-release-1.16/docs/dev/table/sql/create/#as-select_statement";>CREATE
TABLE AS SELECT</a> (CTAS)
+supports users to create new tables based on existing tables and queries.</li>
+ <li><a
href="https://nightlies.apache.org/flink/flink-docs-release-1.16/zh/docs/dev/table/sql/analyze";>ANALYZE
TABLE</a>
+supports users to manually generate table statistics so that the optimizer
could
+generate better execution plans.</li>
+</ul>
<h2 id="cache-in-datastream-for-interactive-programming">Cache in DataStream
for Interactive Programming</h2>
@@ -611,15 +626,18 @@ This feature is very useful for ML and interactive
programming in Python.</p>
<h2 id="history-server--completed-jobs-information-enhancement">History Server
& Completed Jobs Information Enhancement</h2>
-<p>We have enhanced the experiences of viewing completed jobs’ information in
this release.
-- JobManager / HistoryServer WebUI now provides detailed execution time
metrics,
- including duration tasks spent in each execution state and the accumulated
- busy / idle / back-pressured time during running.
-- JobManager / HistoryServer WebUI now provides aggregation of major SubTask
metrics,
- grouped by Task or TaskManager.
-- JobManager / HistoryServer WebUI now provides more environmental
information,
- including environment variables, JVM options and classpath.
-- HistoryServer now supports browsing logs[6] from external log archiving
services.</p>
+<p>We have enhanced the experiences of viewing completed jobs’ information in
this release.</p>
+
+<ul>
+ <li>JobManager / HistoryServer WebUI now provides detailed execution time
metrics,
+including duration tasks spent in each execution state and the accumulated
+busy / idle / back-pressured time during running.</li>
+ <li>JobManager / HistoryServer WebUI now provides aggregation of major
SubTask metrics,
+grouped by Task or TaskManager.</li>
+ <li>JobManager / HistoryServer WebUI now provides more environmental
information,
+including environment variables, JVM options and classpath.</li>
+ <li>HistoryServer now supports browsing logs[6] from external log archiving
services.</li>
+</ul>
<h2 id="protobuf-format">Protobuf format</h2>
