You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@kylin.apache.org by sh...@apache.org on 2015/05/27 06:35:00 UTC
[35/50] [abbrv] incubator-kylin git commit: change website content
file extension from .html to .md
change website content file extension from .html to .md
Project: http://git-wip-us.apache.org/repos/asf/incubator-kylin/repo
Commit: http://git-wip-us.apache.org/repos/asf/incubator-kylin/commit/8e1e9c46
Tree: http://git-wip-us.apache.org/repos/asf/incubator-kylin/tree/8e1e9c46
Diff: http://git-wip-us.apache.org/repos/asf/incubator-kylin/diff/8e1e9c46
Branch: refs/heads/0.8.0
Commit: 8e1e9c46326b2d859fd2335c20c305c74256026c
Parents: 7c3cceb
Author: lukehan <lu...@apache.org>
Authored: Wed May 20 20:42:19 2015 +0800
Committer: shaofengshi <sh...@apache.org>
Committed: Wed May 27 12:25:28 2015 +0800
----------------------------------------------------------------------
docs/website/community/index.md | 65 ++++++++++++++++++
docs/website/docs/index.md | 91 ++++++++++++++++++++++++++
docs/website/docs/installation-content.md | 16 +++++
docs/website/docs/intro-content.md | 54 +++++++++++++++
4 files changed, 226 insertions(+)
----------------------------------------------------------------------
http://git-wip-us.apache.org/repos/asf/incubator-kylin/blob/8e1e9c46/docs/website/community/index.md
----------------------------------------------------------------------
diff --git a/docs/website/community/index.md b/docs/website/community/index.md
new file mode 100644
index 0000000..a426f6c
--- /dev/null
+++ b/docs/website/community/index.md
@@ -0,0 +1,65 @@
+---
+layout: default
+title: Community
+---
+
+
+ <main id="main" >
+ <div class="container" >
+ <div id="zero" class=" main" >
+ <header style=" padding:2em 0 4em 0">
+ <div class="container" >
+ <h4 class="section-title"><span>Kylin Community</span></h4>
+ <div class="row" style="margin-top:-20px;">
+ <div class="col-sm-4 col-md-4">
+ <p class="big_text">EVENTS</p>
+
+
+
+
+ <p><a href="http://strataconf.com/big-data-conference-uk-2015/public/schedule/detail/40029" target="_blank">Strata+Hadoop World 2015, London </a>
+ <br/>Date - Wednesday, May 6, 2015 <br/>
+ Kylin will be present at Strata+Hadooop World</p>
+
+ <p><a href="http://bdtc2014.hadooper.cn/m/zone/bdtc_2014" target="_blank">Big Data Technology Conference, Beijing </a>
+ <br/>Date - Sunday, December 14, 2014 <br/>
+ Kylin be presented by Luke Han, Sr. Product Manager of Kylin</p>
+
+ <p><a href="http://www.meetup.com/Cloud-at-ebayinc/events/218914395/" target="_blank">Apache Kylin Meetup @Bay Area </a>
+ <br/>6:00PM - 7:30PM, Thursday, December 4, 2014 <br/>
+ Learn about "Extreme OLAP engine for Hadoop - Kylin", which eBay recently Open sourced and is now an Apache Incubator Project</p>
+
+ <p><a href="http://2014ebay.csdn.net/m/zone/ebay_en/" target="_blank">Shanghai Big Data Summit 2014 </a>
+ <br/>Date - October 25th, 2014 <br/>
+ Kylin be presented by Jiang Xu, Cheif Architect of Kylin<br/>
+ <a href="http://ebay.csdn.net/" target="_blank">Slides and Video</a></p>
+
+ </div>
+
+ <div class="col-sm-4 col-md-4">
+ <p class="big_text">DISCUSSION</p>
+ <p>Developement and User maililng list: <a href="mailto:dev@kylin.incubator.apache.org" target="_blank"> dev@kylin.incubator.apache.org</a></p>
+ <p>Please subscribe by sending email to: <a href="mailto:dev-subscribe@kylin.incubator.apache.org" target="_blank">dev-subscribe@kylin.incubator.apache.org</a></p>
+ <p>The official Kylin Twitter account: <a href="https://twitter.com/ApacheKylin" target="_blank"> @ApacheKylin</a></p>
+ </div>
+ <div class="col-sm-4 col-md-4">
+ <p class="big_text">DEVELOPMENT</p>
+ <p>All development takes place at : </p>
+ <p>Apache Git: <a href="git://git.apache.org/incubator-kylin.git" target="_blank">git://git.apache.org/incubator-kylin.git</a><br/>
+ Github Mirror: <a href="https://github.com/apache/incubator-kylin" target="_blank">https://github.com/apache/incubator-kylin</a></p>
+
+ <p>Issue tracking: <a href="https://issues.apache.org/jira/browse/KYLIN" target="_blank">Apache JIRA</a></p>
+ </div>
+ </div>
+ </div>
+ <!-- /container -->
+
+ </header>
+ </div>
+ <!-- / section -->
+ </div>
+ <!-- /container -->
+
+ </header>
+ </section>
+</main>
http://git-wip-us.apache.org/repos/asf/incubator-kylin/blob/8e1e9c46/docs/website/docs/index.md
----------------------------------------------------------------------
diff --git a/docs/website/docs/index.md b/docs/website/docs/index.md
new file mode 100644
index 0000000..599fd75
--- /dev/null
+++ b/docs/website/docs/index.md
@@ -0,0 +1,91 @@
+---
+layout: default
+title: Docs
+---
+
+<main id="main" >
+ <div class="container" >
+ <div id="zero" class=" main" >
+ <header style=" padding:2em 0 4em 0">
+ <div class="container" >
+ <h4 class="section-title"><span>Kylin Docs</span></h4>
+
+
+ <div id="content-container" class="animated fadeIn">
+
+
+<p class="content-header" style="margin-top:0.25em">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 can’t 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">
+
+<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 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>
+
+-->
+
+ </div>
+
+ </div><!--end of rightcontent-->
+
+ </div><!--end of row-->
+ </div>
+ <!-- /container -->
+
+
+
+ </header>
+ </div>
+ <!-- / section -->
+ </div>
+ <!-- /container -->
+
+
+
+
+
+ </header>
+ </section>
+</main>
http://git-wip-us.apache.org/repos/asf/incubator-kylin/blob/8e1e9c46/docs/website/docs/installation-content.md
----------------------------------------------------------------------
diff --git a/docs/website/docs/installation-content.md b/docs/website/docs/installation-content.md
new file mode 100644
index 0000000..0a7f872
--- /dev/null
+++ b/docs/website/docs/installation-content.md
@@ -0,0 +1,16 @@
+---
+layout: default
+title: Docs
+---
+
+<p class="content-header" style="margin-top:0.25em">On Hadoop CLI installation</p>
+<p class="content-p">
+On-Hadoop-CLI installation is for demo use, or for those who want to host their own web site to provide Kylin service: <br/>
+<a href="https://github.com/KylinOLAP/Kylin/wiki/On-Hadoop-CLI-installation">On Hadoop CLI installation Wiki</a>
+</p>
+<br/>
+<p class="content-header" style="margin-top:0.25em">Off Hadoop CLI Installation</p>
+<p class="content-p">Off-Hadoop-CLI installation is usually for devlopment use, when developpers want to run kylin test cases or applications at their development machine:
+<br/><a href="https://github.com/KylinOLAP/Kylin/wiki/Off-Hadoop-CLI-Installation">Off Hadoop CLI Installation Wiki</a>
+</p>
+
http://git-wip-us.apache.org/repos/asf/incubator-kylin/blob/8e1e9c46/docs/website/docs/intro-content.md
----------------------------------------------------------------------
diff --git a/docs/website/docs/intro-content.md b/docs/website/docs/intro-content.md
new file mode 100644
index 0000000..b1a9ad0
--- /dev/null
+++ b/docs/website/docs/intro-content.md
@@ -0,0 +1,54 @@
+---
+layout: default
+title: Docs
+---
+
+<p class="content-header" style="margin-top:0.25em">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 can’t 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">
+
+<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 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/>
+
+<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 OLAP</a></p>
+