flink-commits mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From u..@apache.org
Subject [3/4] flink-web git commit: Update links in 'Introduction' page and add 1.2.0 to All Releases on 'Downloads' page
Date Mon, 20 Feb 2017 14:44:44 GMT
Update links in 'Introduction' page  and add 1.2.0 to All Releases on 'Downloads' page


Project: http://git-wip-us.apache.org/repos/asf/flink-web/repo
Commit: http://git-wip-us.apache.org/repos/asf/flink-web/commit/6ea1a54a
Tree: http://git-wip-us.apache.org/repos/asf/flink-web/tree/6ea1a54a
Diff: http://git-wip-us.apache.org/repos/asf/flink-web/diff/6ea1a54a

Branch: refs/heads/asf-site
Commit: 6ea1a54ab07f17cfd686ce47fcde560feebb023d
Parents: 2764a51
Author: wints <mwints@gmail.com>
Authored: Fri Feb 10 15:02:20 2017 +0100
Committer: Ufuk Celebi <uce@apache.org>
Committed: Mon Feb 20 15:44:16 2017 +0100

----------------------------------------------------------------------
 downloads.md    |  1 +
 introduction.md | 14 +++++++-------
 2 files changed, 8 insertions(+), 7 deletions(-)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/flink-web/blob/6ea1a54a/downloads.md
----------------------------------------------------------------------
diff --git a/downloads.md b/downloads.md
index e47107e..0e6cce7 100644
--- a/downloads.md
+++ b/downloads.md
@@ -99,6 +99,7 @@ You can add the following dependencies to your `pom.xml` to include Apache
Flink
 
 ## All releases
 
+- Flink 1.2.0 - 2017-02-06 ([Source](http://www.apache.org/dyn/closer.lua/flink/flink-1.2.0/flink-1.2.0-src.tgz),
[Binaries](http://archive.apache.org/dist/flink/flink-1.2.0/), [Docs]({{site.DOCS_BASE_URL}}flink-docs-release-1.2/),
[Javadocs]({{site.DOCS_BASE_URL}}flink-docs-release-1.2/api/java), [ScalaDocs]({{site.DOCS_BASE_URL}}flink-docs-release-1.2/api/scala/index.html))
 - Flink 1.1.4 - 2016-12-21 ([Source](http://archive.apache.org/dist/flink/flink-1.1.4/flink-1.1.4-src.tgz),
[Binaries](http://archive.apache.org/dist/flink/flink-1.1.4/), [Docs]({{site.DOCS_BASE_URL}}flink-docs-release-1.1/),
[Javadocs]({{site.DOCS_BASE_URL}}flink-docs-release-1.1/api/java), [ScalaDocs]({{site.DOCS_BASE_URL}}flink-docs-release-1.1/api/scala/index.html))
 - Flink 1.1.3 - 2016-10-13 ([Source](http://archive.apache.org/dist/flink/flink-1.1.3/flink-1.1.3-src.tgz),
[Binaries](http://archive.apache.org/dist/flink/flink-1.1.3/), [Docs]({{site.DOCS_BASE_URL}}flink-docs-release-1.1/),
[Javadocs]({{site.DOCS_BASE_URL}}flink-docs-release-1.1/api/java), [ScalaDocs]({{site.DOCS_BASE_URL}}flink-docs-release-1.1/api/scala/index.html))
 - Flink 1.1.2 - 2016-09-05 ([Source](http://archive.apache.org/dist/flink/flink-1.1.2/flink-1.1.2-src.tgz),
[Binaries](http://archive.apache.org/dist/flink/flink-1.1.2/))

http://git-wip-us.apache.org/repos/asf/flink-web/blob/6ea1a54a/introduction.md
----------------------------------------------------------------------
diff --git a/introduction.md b/introduction.md
index a1094ca..2011f87 100644
--- a/introduction.md
+++ b/introduction.md
@@ -2,7 +2,7 @@
 title: "Introduction to Apache Flink®"
 ---
 <br>
-Below is a high-level overview of Apache Flink and stream processing. For a more technical
introduction, we recommend the <a href="https://ci.apache.org/projects/flink/flink-docs-release-1.1/concepts/concepts.html"
target="_blank">"Concepts" page</a> in the Flink documentation.
+Below is a high-level overview of Apache Flink and stream processing. For a more technical
introduction, we recommend the <a href="https://ci.apache.org/projects/flink/flink-docs-release-1.2/concepts/programming-model.html"
target="_blank">"Concepts" page</a> in the Flink documentation.
 <br>
 {% toc %}
 
@@ -96,13 +96,13 @@ Flink’s core is a distributed streaming dataflow engine, meaning that
data is
 
 ### APIs
 
-+ Flink’s <a href="https://ci.apache.org/projects/flink/flink-docs-release-1.1/apis/streaming/index.html"
target="_blank">DataStream API</a> is for programs that implement transformations
on data streams (e.g., filtering, updating state, defining windows, aggregating).
-+ The <a href="https://ci.apache.org/projects/flink/flink-docs-release-1.1/apis/batch/index.html"
target="_blank">DataSet API</a> is for programs that implement transformations on
data sets (e.g., filtering, mapping, joining, grouping).
-+ The <a href="https://ci.apache.org/projects/flink/flink-docs-release-1.1/apis/table.html"
target="_blank">Table API</a> is a SQL-like expression language for relational stream
and batch processing that can be easily embedded in Flink’s DataSet and DataStream APIs
(Java and Scala).
-+ <a href="https://ci.apache.org/projects/flink/flink-docs-release-1.1/apis/table.html#sql"
target="_blank">Streaming SQL</a> enables SQL queries to be executed on streaming
and batch tables. The syntax is based on <a href="https://calcite.apache.org/docs/stream.html"
target="_blank">Apache Calcite™</a>.
++ Flink’s <a href="https://ci.apache.org/projects/flink/flink-docs-release-1.2/dev/datastream_api.html"
target="_blank">DataStream API</a> is for programs that implement transformations
on data streams (e.g., filtering, updating state, defining windows, aggregating).
++ The <a href="https://ci.apache.org/projects/flink/flink-docs-release-1.2/dev/batch/index.html"
target="_blank">DataSet API</a> is for programs that implement transformations on
data sets (e.g., filtering, mapping, joining, grouping).
++ The <a href="https://ci.apache.org/projects/flink/flink-docs-release-1.2/dev/table_api.html#table-api"
target="_blank">Table API</a> is a SQL-like expression language for relational stream
and batch processing that can be easily embedded in Flink’s DataSet and DataStream APIs
(Java and Scala).
++ <a href="https://ci.apache.org/projects/flink/flink-docs-release-1.2/dev/table_api.html#sql"
target="_blank">Streaming SQL</a> enables SQL queries to be executed on streaming
and batch tables. The syntax is based on <a href="https://calcite.apache.org/docs/stream.html"
target="_blank">Apache Calcite™</a>.
 
 ### Libraries
-Flink also includes special-purpose libraries for <a href="https://ci.apache.org/projects/flink/flink-docs-release-1.1/apis/streaming/libs/cep.html"
target="_blank">complex event processing</a>, <a href="https://ci.apache.org/projects/flink/flink-docs-release-1.1/apis/batch/libs/ml/index.html"
target="_blank">machine learning</a>, <a href="https://ci.apache.org/projects/flink/flink-docs-release-1.1/apis/batch/libs/gelly.html"
target="_blank">graph processing</a>, and <a href="https://ci.apache.org/projects/flink/flink-docs-release-1.2/dev/libs/storm_compatibility.html"
target="_blank">Apache Storm compatibility</a>.
+Flink also includes special-purpose libraries for <a href="https://ci.apache.org/projects/flink/flink-docs-release-1.2/dev/libs/cep.html"
target="_blank">complex event processing</a>, <a href="https://ci.apache.org/projects/flink/flink-docs-release-1.2/dev/libs/ml/index.html"
target="_blank">machine learning</a>, <a href="https://ci.apache.org/projects/flink/flink-docs-release-1.2/dev/libs/gelly/index.html"
target="_blank">graph processing</a>, and <a href="https://ci.apache.org/projects/flink/flink-docs-release-1.2/dev/libs/storm_compatibility.html"
target="_blank">Apache Storm compatibility</a>.
 
 ## Flink and other frameworks
 
@@ -120,6 +120,6 @@ If you’re interested in learning more, we’ve collected [information
about th
 
 ## Key Takeaways and Next Steps
 
-In summary, Apache Flink is an open-source stream processing framework that eliminates the
"performance vs. reliability" tradeoff often associated with open-source streaming engines
and performs consistently in both categories. Following this introduction, we recommend you
try our <a href="https://ci.apache.org/projects/flink/flink-docs-release-1.1/quickstart/setup_quickstart.html"
target="_blank">quickstart</a>, [download]({{ site.baseurl }}/downloads.html) the
most recent stable version of Flink, or review the <a href="https://ci.apache.org/projects/flink/flink-docs-release-1.1/"
target="_blank">documentation</a>.
+In summary, Apache Flink is an open-source stream processing framework that eliminates the
"performance vs. reliability" tradeoff often associated with open-source streaming engines
and performs consistently in both categories. Following this introduction, we recommend you
try our <a href="https://ci.apache.org/projects/flink/flink-docs-release-1.2/quickstart/setup_quickstart.html"
target="_blank">quickstart</a>, [download]({{ site.baseurl }}/downloads.html) the
most recent stable version of Flink, or review the <a href="https://ci.apache.org/projects/flink/flink-docs-release-1.2/index.html"
target="_blank">documentation</a>.
 
 And we encourage you to join the Flink user mailing list and to share your questions with
the community. We’re here to help you get the most out of Flink.


Mime
View raw message