You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@mrql.apache.org by fe...@apache.org on 2015/04/23 18:45:57 UTC

incubator-mrql git commit: update xdoc

Repository: incubator-mrql
Updated Branches:
  refs/heads/master de568dee2 -> 9ad4e1bd8


update xdoc


Project: http://git-wip-us.apache.org/repos/asf/incubator-mrql/repo
Commit: http://git-wip-us.apache.org/repos/asf/incubator-mrql/commit/9ad4e1bd
Tree: http://git-wip-us.apache.org/repos/asf/incubator-mrql/tree/9ad4e1bd
Diff: http://git-wip-us.apache.org/repos/asf/incubator-mrql/diff/9ad4e1bd

Branch: refs/heads/master
Commit: 9ad4e1bd85f7af336423b6dacdd4d5a817f87ffa
Parents: de568de
Author: fegaras <fe...@cse.uta.edu>
Authored: Thu Apr 23 11:19:39 2015 -0500
Committer: fegaras <fe...@cse.uta.edu>
Committed: Thu Apr 23 11:19:39 2015 -0500

----------------------------------------------------------------------
 src/site/site.xml                 | 14 ++++++++++++++
 src/site/xdoc/getting_started.xml |  5 ++---
 src/site/xdoc/index.xml           | 19 +++++++++++++++----
 3 files changed, 31 insertions(+), 7 deletions(-)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/incubator-mrql/blob/9ad4e1bd/src/site/site.xml
----------------------------------------------------------------------
diff --git a/src/site/site.xml b/src/site/site.xml
index 881e610..c2f46bc 100644
--- a/src/site/site.xml
+++ b/src/site/site.xml
@@ -42,6 +42,20 @@
   </custom>
 
   <body>
+    <head>
+      <script type="text/javascript">
+
+  (function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){
+  (i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o),
+  m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m)
+  })(window,document,'script','//www.google-analytics.com/analytics.js','ga');
+
+  ga('create', 'UA-62083383-2', 'auto');
+  ga('send', 'pageview');
+
+      </script>
+    </head>
+
     <links position="left">
       <item name="Wiki" href="http://wiki.apache.org/mrql/" />
       <item name="JIRA" href="https://issues.apache.org/jira/browse/MRQL" />

http://git-wip-us.apache.org/repos/asf/incubator-mrql/blob/9ad4e1bd/src/site/xdoc/getting_started.xml
----------------------------------------------------------------------
diff --git a/src/site/xdoc/getting_started.xml b/src/site/xdoc/getting_started.xml
index 1232ef5..9fbfdd5 100644
--- a/src/site/xdoc/getting_started.xml
+++ b/src/site/xdoc/getting_started.xml
@@ -28,14 +28,14 @@ xsi:schemaLocation="http://maven.apache.org/XDOC/2.0 http://maven.apache.org/xsd
 Apache MRQL can run in four modes: in Map-Reduce mode using Apache Hadoop, in BSP mode (Bulk Synchronous Parallel mode) using Apache Hama, in Spark mode using Apache Spark, and in Flink mode using Apache Flink.
 </p>
 <p>
-The MRQL MapReduce mode has been tested on Apache Hadoop MapReduce releases 1.x, and 2.x (Yarn). You can download the latest tarball from <a href="http://hadoop.apache.org/releases.html">Apache Hadoop</a>. The BSP and Spark modes are optional. The BSP mode has been tested on Apache Hama 0.6.2, 0.6.3, and 0.6.4. You can download the latest tarball from <a href="http://hama.apache.org/">Apache Hama</a>. The Spark mode has been tested on Apache Spark 1.0.0 through 1.2.0 in local, standalone deploy, and Yarn modes. You can download the latest tarball prebuilt for Hadoop1 or Hadoop2 from <a href="http://spark.apache.org/">Apache Spark</a>. The Flink mode has been tested on Apache Flink 0.6-incubating through 0.8.0 in local and Yarn modes. You can download the latest tarball prebuilt for Hadoop2 from <a href="http://flink.apache.org/downloads.html">Apache Flink</a>.
+The MRQL MapReduce mode has been tested on Apache Hadoop MapReduce releases 1.x, and 2.x (Yarn). You can download the latest tarball from <a href="http://hadoop.apache.org/releases.html">Apache Hadoop</a>. The BSP mode has been tested on Apache Hama 0.6.2, 0.6.3, and 0.6.4. You can download the latest tarball from <a href="http://hama.apache.org/">Apache Hama</a>. The Spark mode has been tested on Apache Spark 1.0.0 through 1.3.0 in local, standalone deploy, and Yarn modes. You can download the latest tarball prebuilt for Hadoop1 or Hadoop2 from <a href="http://spark.apache.org/">Apache Spark</a>. The Flink mode has been tested on Apache Flink 0.6-incubating through 0.8.0 in local and Yarn modes. You can download the latest tarball prebuilt for Hadoop2 from <a href="http://flink.apache.org/downloads.html">Apache Flink</a>.
 </p>
 <p>
 The following instructions assume that you have already installed Apache Hadoop MapReduce and you have deployed it on your cluster successfully.
 </p>
     <subsection name="How to install MRQL"></subsection>
 <p>
-Download the latest stable MRQL binary release from <a href="http://www.apache.org/dyn/closer.cgi/incubator/mrql">http://www.apache.org/dyn/closer.cgi/incubator/mrql</a> and extract the files. The scripts <code>bin/mrql</code>, <code>bin/mrql.bsp</code>, and <code>bin/mrql.spark</code> evaluate MRQL queries in Hadoop, Hama, and Spark modes, respectively.
+Download the latest stable MRQL binary release from <a href="http://www.apache.org/dyn/closer.cgi/incubator/mrql">http://www.apache.org/dyn/closer.cgi/incubator/mrql</a> and extract the files. The scripts <code>bin/mrql</code>, <code>bin/mrql.bsp</code>, <code>bin/mrql.spark</code>, and <code>bin/mrql.flink</code> evaluate MRQL queries in Hadoop, Hama, Spark, and Flink modes, respectively.
 </p>
     <subsection name="How to run MRQL on a Hadoop MapReduce cluster"></subsection>
 <p>
@@ -68,6 +68,5 @@ git clone https://git-wip-us.apache.org/repos/asf/incubator-mrql.git
 </pre>
 To build MRQL on Hadoop 1.x using maven, use <code>mvn clean install</code>. To build MRQL on Yarn (Hadoop 2.x), use <code>mvn -Dyarn clean install</code>. To validate the installation use <code>mvn -DskipTests=false clean install</code>, which runs the queries in <code>tests/queries</code> in memory, local Hadoop mode, local Hama mode, local Spark mode, and local Flink mode.
 </p>
-
   </body>
 </document>

http://git-wip-us.apache.org/repos/asf/incubator-mrql/blob/9ad4e1bd/src/site/xdoc/index.xml
----------------------------------------------------------------------
diff --git a/src/site/xdoc/index.xml b/src/site/xdoc/index.xml
index d7324c6..8da6cd6 100644
--- a/src/site/xdoc/index.xml
+++ b/src/site/xdoc/index.xml
@@ -25,23 +25,34 @@ xsi:schemaLocation="http://maven.apache.org/XDOC/2.0 http://maven.apache.org/xsd
     <p>MRQL is a query processing and optimization system for large-scale, distributed data analysis, built on top of Apache Hadoop, Hama, Spark, and Flink.
     <br/><br/>
     MRQL (pronounced miracle) is a query processing and optimization system for large-scale, distributed data analysis. MRQL (the MapReduce Query Language) is an SQL-like query language for large-scale data analysis on a cluster of computers. The MRQL query processing system can evaluate MRQL queries in four modes:
-<ol>
+</p><ol style="list-style-type: decimal">
 <li>in Map-Reduce mode using Apache Hadoop,</li>
 <li>in BSP mode (Bulk Synchronous Parallel mode) using Apache Hama,</li>
 <li>in Spark mode using Apache Spark, and</li>
 <li>in Flink mode using Apache Flink.</li>
 </ol>
-The MRQL query language is powerful enough to express most common data analysis tasks over many forms of raw in-situ data, such as XML and JSON documents, binary files, and CSV documents. MRQL is more powerful than other current high-level MapReduce languages, such as Hive and PigLatin, since it can operate on more complex data and supports more powerful query constructs, thus eliminating the need for using explicit MapReduce code. With MRQL, users are able to express complex data analysis tasks, such as PageRank, k-means clustering, matrix factorization, etc, using SQL-like queries exclusively, while the MRQL query processing system is able to compile these queries to efficient Java code.</p>
+The MRQL query language is powerful enough to express most common data analysis tasks over many forms of raw in-situ data, such as XML and JSON documents, binary files, and CSV documents. MRQL is more powerful than other current high-level MapReduce languages, such as Hive and PigLatin, since it can operate on more complex data and supports more powerful query constructs, thus eliminating the need for using explicit MapReduce code. With MRQL, users are able to express complex data analysis tasks, such as PageRank, k-means clustering, matrix factorization, etc, using SQL-like queries exclusively, while the MRQL query processing system is able to compile these queries to efficient Java code.
     <section name="News"></section>
     <p>
       <ul>
         <li>2013-03-13: MRQL project enters Apache Incubation.</li>
-        <li>2013-10-31: First release, MRQL-0.9.0-incubating</li>
-        <li>2014-06-26: Second release, MRQL-0.9.2-incubating</li>
+        <li>2013-10-31: First release, MRQL-0.9.0-incubating (<a href="ReleaseNotes-0.9.0.html">release notes</a>)</li>
+        <li>2014-06-26: Second release, MRQL-0.9.2-incubating (<a href="ReleaseNotes-0.9.2.html">release notes</a>)</li>
+        <li>2015-02-25: Third release, MRQL-0.9.4-incubating (<a href="ReleaseNotes-0.9.4.html">release notes</a>)</li>
       </ul>
     </p>    
 
     <section name="Disclaimer"></section>
     <p>Apache MRQL is an effort undergoing incubation at The Apache Software Foundation (ASF) sponsored by the Apache Incubator PMC. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.</p>
+<script>
+  (function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){
+  (i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o),
+  m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m)
+  })(window,document,'script','//www.google-analytics.com/analytics.js','ga');
+
+  ga('create', 'UA-62083383-1', 'auto');
+  ga('send', 'pageview');
+
+</script>
   </body>
 </document>