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Posted to commits@flink.apache.org by uc...@apache.org on 2017/02/20 14:44:44 UTC

[3/4] flink-web git commit: Update links in 'Introduction' page and add 1.2.0 to All Releases on 'Downloads' page

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 <mw...@gmail.com>
Authored: Fri Feb 10 15:02:20 2017 +0100
Committer: Ufuk Celebi <uc...@apache.org>
Committed: Mon Feb 20 15:44:16 2017 +0100

----------------------------------------------------------------------
 downloads.md    |  1 +
 introduction.md | 14 +++++++-------
 2 files changed, 8 insertions(+), 7 deletions(-)
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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\u2019s core is a distributed streaming dataflow engine, meaning that data is
 
 ### APIs
 
-+ Flink\u2019s <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\u2019s 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\u2122</a>.
++ Flink\u2019s <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\u2019s 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\u2122</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\u2019re interested in learning more, we\u2019ve 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\u2019re here to help you get the most out of Flink.