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Posted to commits@kylin.apache.org by lu...@apache.org on 2015/07/13 10:23:32 UTC
svn commit: r1690585 - in /incubator/kylin/site: cn/docs/index.html feed.xml
Author: lukehan
Date: Mon Jul 13 08:23:32 2015
New Revision: 1690585
URL: http://svn.apache.org/r1690585
Log:
update docs index file
Modified:
incubator/kylin/site/cn/docs/index.html
incubator/kylin/site/feed.xml
Modified: incubator/kylin/site/cn/docs/index.html
URL: http://svn.apache.org/viewvc/incubator/kylin/site/cn/docs/index.html?rev=1690585&r1=1690584&r2=1690585&view=diff
==============================================================================
--- incubator/kylin/site/cn/docs/index.html (original)
+++ incubator/kylin/site/cn/docs/index.html Mon Jul 13 08:23:32 2015
@@ -41,7 +41,7 @@
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
- <title>Apache Kylin | Docs</title>
+ <title>Apache Kylin | ææ¡£</title>
<meta name="description" content="Apache Kylin Home">
<meta name="author" content="Apache Kylin">
<link rel="shortcut icon" href="fav.png" type="image/png">
@@ -329,92 +329,50 @@
<div class="col-md-9 col-lg-9 col-xs-14 aside2">
<div id="container">
<div id="pjax">
- <main id="main">
- <div class="container">
- <div id="zero" class=" main">
- <header style=" padding:1.0em 0 4em 0">
- <div class="container">
-
-
- <div id="content-container" class="animated fadeIn">
-
-
-<p class="content-header">What should I use Kylin for?</p>
-<p class="content-p">
-If you want to do multi-dimension analysis on large data sets (billion+ rows) with low query latency (sub-seconds), Kylin is a good option. Kylin also provides good integration with existing BI tools (e.g Tableau).
-</p>
-
-<hr />
-
-<p class="content-header">Why existing SQL-on-Hadoop solutions fall short?</p>
-<p class="content-p">
-The existing SQL-on-Hadoop needs to scan partial or whole data set to answer a user query. Due to large data scan, many queries are very slow (minute+ latency).
-</p>
-<hr />
-
-<p class="content-header">What is MOLAP/ROLAP?</p>
-<p class="content-p">
-MOLAP (Multi-dimensional OLAP) is to pre-compute data along different dimensions of interest and store resultant values in the cube. MOLAP is much faster but is inflexible.
-ROLAP (Relational-OLAP) is to use star or snow-flake schema to do runtime aggregation. ROLAP is flexible but much slower.
-</p>
-<hr />
-
-<p class="content-header">How does Kylin support ROLAP/MOLAP?</p>
-<p class="content-p">
-Kylin builds data cube (MOLAP) from hive table (ROLAP) according to the metadata definition.
-If the query can be fulfilled by data cube, Kylin will route the query to data cube that is MOLAP.
-If the query canât be fulfilled by data cube, Kylin will route the query to hive table that is ROLAP.
-Basically, you can think Kylin as HOLAP on top of MOLAP and ROLAP.
-</p>
-<hr />
-<p class="content-header">What does a Kylin query look like?</p>
-<p class="content-p">
-Kylin supports join, projection, filter, aggregation, groups and sub-query. For example:
-<div align="left">
+ <h2 id="welcome-to-apache-kylin">Welcome to Apache Kylin</h2>
+<blockquote>
+ <p>Extreme OLAP Engine for Big Data</p>
+</blockquote>
-<pre class="prettyprint" style="margin-top:1em;">select test_cal_dt.week_beg_dt, test_category.lv1_categ, test_category.lv2_categ, test_kylin_fact.format_name, test_sites.site_name, sum(test_kylin_fact.price) as total_price, count(*) as total_count from test_kylin_fact left join test_cal_dt on test_kylin_fact.cal_dt = test_cal_dt.cal_dt left join test_category on test_kylin_fact.leaf_categ_id = test_category.leaf_categ_id and test_kylin_fact.site_id = test_category.site_id left join test_sites on test_kylin_fact.site_id = test_sites.site_id where test_kylin_fact.seller_id = 123456 or test_kylin_fact.format_name = 'New' group by test_cal_dt.week_beg_dt, test_category.lv1_categ, test_category.lv2_categ, test_kylin_fact.format_name, test_sites.site_name</pre>
-</div>
-<hr />
+<p>Apache Kylin is an open source Distributed Analytics Engine, contributed by eBay Inc., provides SQL interface and multi-dimensional analysis (OLAP) on Hadoop supporting extremely large datasets.</p>
-<p class="content-header">What Hadoop components does it work with?</p>
-<p class="content-p">
-Kylin depends on HDFS, MapReduce, Hive and HBase.
-Hive and MapReduce is used for cube building. Hive is used for pre-join and MapReduce is used for pre-aggregation.
-HDFS is used to store intermediated files during cube building.
-HBase is used to store data cube and answer the query. HBase coprocessor is also used for query processing.
-</p>
-<hr />
-
-<!-- Migrate wiki to here
-<p class="content-header">Where can I find the technical details about Kylin?</p>
-<p class="content-p"><a href="http://www.slideshare.net/XuJiang2/kylin-hadoop-olap-engine" target="_blank">Kylin Wiki</a></p>
+<h2 id="installation">Installation</h2>
+<p>Please follow installation & tutorial to start with Kylin.</p>
--->
+<h2 id="advanced-topics">Advanced Topics</h2>
+<p>####Connectivity
+1.<a href="docs/Tutorial/How to use kylin remote jdbc driver.md">How to use kylin remote jdbc driver</a></p>
-
-
- <!--end of rightcontent-->
-
- <!--end of row-->
-
- <!-- /container -->
-
-
-
-
-
- <!-- / section -->
-
- <!-- /container -->
-
+<p>2.<a href="https://github.com/apache/incubator-calcite/blob/master/doc/reference.md">SQL Reference</a></p>
-
+<h4 id="rest">REST</h4>
-
-
-
+<p>1.<a href="docs/REST/Kylin Restful API List.md">Kylin Restful API List</a></p>
+
+<p>2.<a href="docs/REST/Build Cube with Restful API.md">Build Cube with Restful API</a></p>
+
+<p>3.<a href="docs/REST/How to consume Kylin REST API in javascript.md">How to consume Kylin REST API in javascript</a></p>
+
+<h4 id="operations">Operations</h4>
+<p>1.<a href="docs/Operations/Kylin Metadata Store.md">Kylin Metadata Store</a></p>
+
+<p>2.<a href="docs/Operations/Export Kylin HBase data.md">Export Kylin HBase data</a></p>
+
+<p>3.<a href="docs/Operations/Advanced settings of Kylin environment.md">Advanced settings of Kylin environment</a></p>
+
+<h4 id="test">Test</h4>
+
+<p>1.<a href="docs/Test/Run Kylin test case with HBase Mini Cluster.md">Run Kylin test case with HBase Mini Cluster</a></p>
+
+<h4 id="technial-details">Technial Details</h4>
+
+<p>1.<a href="docs/TechInside/New meta data model structure.md">New meta data model structure</a></p>
+
+<p>2.<a href="docs/JobEngine/Design.md">Job Engine Design</a></p>
+
+<h2 id="disclaimer">Disclaimer</h2>
-</p></div></div></header></div></div></main>
+<p>Apache Kylin is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. 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>
</div>
</div>
Modified: incubator/kylin/site/feed.xml
URL: http://svn.apache.org/viewvc/incubator/kylin/site/feed.xml?rev=1690585&r1=1690584&r2=1690585&view=diff
==============================================================================
--- incubator/kylin/site/feed.xml (original)
+++ incubator/kylin/site/feed.xml Mon Jul 13 08:23:32 2015
@@ -19,8 +19,8 @@
<description>Apache Kylin Home</description>
<link>http://kylin.incubator.apache.org/</link>
<atom:link href="http://kylin.incubator.apache.org/feed.xml" rel="self" type="application/rss+xml"/>
- <pubDate>Mon, 13 Jul 2015 01:15:39 -0700</pubDate>
- <lastBuildDate>Mon, 13 Jul 2015 01:15:39 -0700</lastBuildDate>
+ <pubDate>Mon, 13 Jul 2015 01:22:35 -0700</pubDate>
+ <lastBuildDate>Mon, 13 Jul 2015 01:22:35 -0700</lastBuildDate>
<generator>Jekyll v2.5.3</generator>
<item>