svn commit: r1867762 - in /kylin/site: assets/css/styles.css assets/images/icon_index_streaming.png blog/2019/09/22/kylin-tableau/index.html cn/index.html feed.xml index.html

2019-09-30 Thread lidong
Author: lidong
Date: Mon Sep 30 09:56:18 2019
New Revision: 1867762

URL: http://svn.apache.org/viewvc?rev=1867762=rev
Log:
modify the style of subtitle and indent

Added:
kylin/site/assets/images/icon_index_streaming.png   (with props)
Modified:
kylin/site/assets/css/styles.css
kylin/site/blog/2019/09/22/kylin-tableau/index.html
kylin/site/cn/index.html
kylin/site/feed.xml
kylin/site/index.html

Modified: kylin/site/assets/css/styles.css
URL: 
http://svn.apache.org/viewvc/kylin/site/assets/css/styles.css?rev=1867762=1867761=1867762=diff
==
--- kylin/site/assets/css/styles.css (original)
+++ kylin/site/assets/css/styles.css Mon Sep 30 09:56:18 2019
@@ -77,7 +77,7 @@ blockquote p {
 }
 .card-s {
height: 240px;
-padding: 25px;
+padding: 10px;
 }
 .card-m {
height: 500px;
@@ -747,7 +747,7 @@ a.section-menu-title:hover {
 bottom: 0;
 }
 .card-s .indent {
-   margin-top: 25px;
+   margin-top: 15px;
 }
 .card-l ul{
margin: 45px 0 0 20px;

Added: kylin/site/assets/images/icon_index_streaming.png
URL: 
http://svn.apache.org/viewvc/kylin/site/assets/images/icon_index_streaming.png?rev=1867762=auto
==
Binary file - no diff available.

Propchange: kylin/site/assets/images/icon_index_streaming.png
--
svn:mime-type = application/octet-stream

Modified: kylin/site/blog/2019/09/22/kylin-tableau/index.html
URL: 
http://svn.apache.org/viewvc/kylin/site/blog/2019/09/22/kylin-tableau/index.html?rev=1867762=1867761=1867762=diff
==
--- kylin/site/blog/2019/09/22/kylin-tableau/index.html (original)
+++ kylin/site/blog/2019/09/22/kylin-tableau/index.html Mon Sep 30 09:56:18 2019
@@ -41,7 +41,7 @@
   
 
   Apache Kylin | Connecting Tableau Desktop and Tableau Server with 
Apache Kylin
-  
+  
   
   
 
@@ -6388,73 +6388,62 @@ var _hmt = _hmt || [];
 
   
 Background
+
 This document describes how to connect Tableau to Apache Kylin OLAP server, 
particularly (but not only) in live mode to use both reporting and analytics 
features of Tableau together with Apache Kylin’s fast query processing 
engine. The configuration is platform independent - it works for both Windows 
and Linux installations of Tableau Server.
 
 For the time of writing this guide we tested that it works with Kylin 3.0.0 
and Tableau Server 2019.1.
 
 Prerequisites
-### Apache Kylin JDBC Driver
-First we need to get Apache Kylin JDBC Driver - kylin-jdbc-X.Y.Z.jar file. You 
can either get it from the compiled package available on the download page 
http://kylin.apache.org/download/ from lib folder or compile it on your own using 
instructions below.
 
-Note: To make JDBC driver work properly, there has been a fix 
recently https://github.com/apache/kylin/pull/739 that upgraded one of the 
libraries used by the driver. The fix was applied for version 3, so if for some 
reason you need a jar for earlier version, you have to apply the fix on the 
lower version’s codebase and compile yourself.
- Compiling Apache Kylin JDBC Driver
-
-git clone https://github.com/apache/kylin.git 
+Apache Kylin JDBC Driver
+
+First we need to get Apache Kylin JDBC Driver - kylin-jdbc-X.Y.Z.jar file. 
You can either get it from the compiled package available on the download page 
http://kylin.apache.org/download/ from lib folder or compile it on your own using 
instructions below.
+
+Note: To make JDBC driver work properly, there has been a fix 
recently https://github.com/apache/kylin/pull/739 that upgraded one of the 
libraries used by the driver. The fix was applied for version 3, so if for some 
reason you need a jar for earlier version, you have to apply the fix on the 
lower version’s codebase and compile yourself.
+
+Compiling Apache Kylin JDBC 
Driver
+
+git clone 
https://github.com/apache/kylin.git 
 cd kylin
 mvn clean package -DskipTests -am -pl jdbc
-
+
+
 
 The compiled jar is located in the following location: jdbc/target/kylin-jdbc-X.Y.Z.jar
 
 Tableau Server on Linux
+
 If you have installed Tableau Server in a Linux box, e.g. CentOS, copy the 
driver’s jar file to the following location: /opt/tableau/tableau_driver/jdbc/ and restart 
Tableau Server. 
 The server is now ready to create and refresh data from Apache Kylin.
 
 Tableau Server and 
Tableau Desktop on Windows
+
 For either Tableau Server or Tableau Desktop that is installed on a Windows 
machine, copy the driver’s jar file to the following location C:\Program Files\Tableau\Drivers and restart 
Tableau Server or reopen Tableau Desktop.
 
 Some more details regarding jdbc connection from Tableau are well described 
in Tableau’s documentation: 

[kylin] 03/03: modify the style of subtitle and indent

2019-09-30 Thread nic
This is an automated email from the ASF dual-hosted git repository.

nic pushed a commit to branch document
in repository https://gitbox.apache.org/repos/asf/kylin.git

commit de723b305838aa695628388d96c2db5ea48a6fab
Author: rupengwang 
AuthorDate: Thu Sep 19 11:25:36 2019 +0800

modify the style of subtitle and indent
---
 website/assets/css/styles.css |  4 ++--
 website/index.md  | 12 ++--
 2 files changed, 8 insertions(+), 8 deletions(-)

diff --git a/website/assets/css/styles.css b/website/assets/css/styles.css
index 752cb67..eabe631 100644
--- a/website/assets/css/styles.css
+++ b/website/assets/css/styles.css
@@ -77,7 +77,7 @@ blockquote p {
 }
 .card-s {
height: 240px;
-padding: 25px;
+padding: 10px;
 }
 .card-m {
height: 500px;
@@ -747,7 +747,7 @@ a.section-menu-title:hover {
 bottom: 0;
 }
 .card-s .indent {
-   margin-top: 25px;
+   margin-top: 15px;
 }
 .card-l ul{
margin: 45px 0 0 20px;
diff --git a/website/index.md b/website/index.md
index c196de5..9b2c889 100644
--- a/website/index.md
+++ b/website/index.md
@@ -54,7 +54,7 @@ title: OLAP engine for big data
 
   
 
-Extremely Fast OLAP Engine for Big Data at Scale: 
+Extremely Fast OLAP Engine for Big Data at Scale: 

 Kylin is designed 
to reduce query latency on Hadoop/Spark for 10+ billions of rows of data
   
 
@@ -63,7 +63,7 @@ title: OLAP engine for big data
 
   
 
-Seamless Integration with BI Tools:
+Seamless Integration with BI Tools:
 Kylin currently offers integration 
capability with BI Tools like Tableau, PowerBI/Excel, MSTR, QlikSense, Hue and 
SuperSet
   
 
@@ -72,7 +72,7 @@ title: OLAP engine for big data
 
   
 
-ANSI SQL Interface for Big Data on Hadoop: 
+ANSI SQL Interface for Big Data on Hadoop: 
 As an OLAP 
engine, Kylin offers ANSI SQL on Hadoop/Spark and supports most ANSI SQL query 
functions
   
 
@@ -81,7 +81,7 @@ title: OLAP engine for big data
 
   
 
-Interactive Query with Low Latency and High Performance: 

+Interactive Query with Low Latency and High 
Performance: 
 Users can 
interact with Hadoop data via Kylin at sub-second latency, better than Hive 
queries for the same dataset
   
 
@@ -90,7 +90,7 @@ title: OLAP engine for big data
 
   
 
-Real-time OLAP for Streaming Big Data:
+Real-time OLAP for Streaming Big Data:
 Kylin is able to compute streaming data 
once it is generated, user is capable of doing real-time data analysis with 
latencey on second level
   
 
@@ -99,7 +99,7 @@ title: OLAP engine for big data
 

 
-MOLAP Cube:
+MOLAP Cube:
 User can define a 
data model and pre-build in Kylin with more than 10+ billions of raw data 
records
   
 



[kylin] branch document updated (d0e829e -> de723b3)

2019-09-30 Thread nic
This is an automated email from the ASF dual-hosted git repository.

nic pushed a change to branch document
in repository https://gitbox.apache.org/repos/asf/kylin.git.


from d0e829e  minor, update format
 new 7ac3c90  Add some description info on home page
 new 8a0313a  Minor fix
 new de723b3  modify the style of subtitle and indent

The 3 revisions listed above as "new" are entirely new to this
repository and will be described in separate emails.  The revisions
listed as "add" were already present in the repository and have only
been added to this reference.


Summary of changes:
 website/assets/css/styles.css  |   4 +--
 website/assets/images/icon_index_streaming.png | Bin 0 -> 5150 bytes
 website/index.cn.md|  35 ++---
 website/index.md   |  42 +++--
 4 files changed, 59 insertions(+), 22 deletions(-)
 create mode 100644 website/assets/images/icon_index_streaming.png



[kylin] 02/03: Minor fix

2019-09-30 Thread nic
This is an automated email from the ASF dual-hosted git repository.

nic pushed a commit to branch document
in repository https://gitbox.apache.org/repos/asf/kylin.git

commit 8a0313a0ffe2987e1174c33e94dd752e06b76130
Author: nichunen 
AuthorDate: Wed Sep 18 19:45:09 2019 +0800

Minor fix
---
 website/index.md | 36 ++--
 1 file changed, 18 insertions(+), 18 deletions(-)

diff --git a/website/index.md b/website/index.md
index 29df0c9..c196de5 100644
--- a/website/index.md
+++ b/website/index.md
@@ -1,6 +1,6 @@
 ---
 layout: default
-title: OLAP engine on big data
+title: OLAP engine for big data
 ---
 
 
@@ -54,35 +54,35 @@ title: OLAP engine on big data
 
   
 
-Extremely Fast OLAP Engine for Big Data at Scale: 
+Extremely Fast OLAP Engine for Big Data at Scale: 
 Kylin is designed 
to reduce query latency on Hadoop/Spark for 10+ billions of rows of data
   
 
 
   
 
-  
+  
 
-ANSI SQL Interface on Hadoop: 
-As an OLAP 
engine, Kylin offers ANSI SQL on Hadoop/Spark and supports most ANSI SQL query 
functions
+Seamless Integration with BI Tools:
+Kylin currently offers integration 
capability with BI Tools like Tableau, PowerBI/Excel, MSTR, QlikSense, Hue and 
SuperSet
   
 
 
   
 
-  
+  
 
-Interactive Query Capability: 
-Users can 
interact with Hadoop data via Kylin at sub-second latency, better than Hive 
queries for the same dataset
+ANSI SQL Interface for Big Data on Hadoop: 
+As an OLAP 
engine, Kylin offers ANSI SQL on Hadoop/Spark and supports most ANSI SQL query 
functions
   
 
- 
+
   
 
-   
+  
 
-MOLAP Cube:
-User can define a 
data model and pre-build in Kylin with more than 10+ billions of raw data 
records
+Interactive Query with Low Latency and High Performance: 

+Users can 
interact with Hadoop data via Kylin at sub-second latency, better than Hive 
queries for the same dataset
   
 
 
@@ -90,22 +90,22 @@ title: OLAP engine on big data
 
   
 
-Real-time OLAP:
+Real-time OLAP for Streaming Big Data:
 Kylin is able to compute streaming data 
once it is generated, user is capable of doing real-time data analysis with 
latencey on second level
   
 
-
+ 
   
 
-  
+   
 
-Seamless Integration with BI Tools:
-Kylin currently offers integration 
capability with BI Tools like Tableau, PowerBI/Excel, MSTR, QlikSense, Hue and 
SuperSet
+MOLAP Cube:
+User can define a 
data model and pre-build in Kylin with more than 10+ billions of raw data 
records
   
 
   
   
-Other Highlights: 
+Other Highlights:  
 
   Job Management and Monitoring 
   Compression and Encoding Support 



[kylin] 01/03: Add some description info on home page

2019-09-30 Thread nic
This is an automated email from the ASF dual-hosted git repository.

nic pushed a commit to branch document
in repository https://gitbox.apache.org/repos/asf/kylin.git

commit 7ac3c906a70c0ccb528834d52172b3035744c900
Author: nichunen 
AuthorDate: Wed Sep 18 15:55:49 2019 +0800

Add some description info on home page
---
 website/assets/images/icon_index_streaming.png | Bin 0 -> 5150 bytes
 website/index.cn.md|  35 ++---
 website/index.md   |  24 -
 3 files changed, 48 insertions(+), 11 deletions(-)

diff --git a/website/assets/images/icon_index_streaming.png 
b/website/assets/images/icon_index_streaming.png
new file mode 100644
index 000..6abbbc3
Binary files /dev/null and b/website/assets/images/icon_index_streaming.png 
differ
diff --git a/website/index.cn.md b/website/index.cn.md
index 4ca77aa..355816d 100644
--- a/website/index.cn.md
+++ b/website/index.cn.md
@@ -1,6 +1,6 @@
 ---
 layout: default-cn
-title: 首页
+title: 大数据上的OLAP引擎
 ---
 
 
@@ -13,6 +13,24 @@ title: 首页
   
   
Apache 
Kylin™是一个开源的分布式分析引擎,提供Hadoop/Spark之上的SQL查询接口及多维分析(OLAP)能力以支持超大规模数据,最初由eBay Inc. 
开发并贡献至开源社区。它能在亚秒内查询巨大的Hive表。
+   Apache 
Kylin™令使用者仅需三步,即可实现超大数据集上的亚秒级查询。
+  
+
+  
+1
+定义数据集上的一个星形或雪花形模型
+  
+  
+2
+在定义的数据表上构建cube
+  
+  
+3
+使用标准SQL通过ODBC、JDBC或RESTFUL API进行查询,仅需亚秒级响应时间即可获得查询结果
+  
+  
+
+  Kylin提供与多种数据可视化工具的整合能力,如Tableau,PowerBI等,令用户可以使用BI工具对Hadoop数据进行分析。

   
 
@@ -35,7 +53,7 @@ title: 首页
 
   
 
-可扩展超快OLAP引擎: 
+可扩展超快的基于大数据的OLAP引擎: 
 Kylin是为减少在Hadoop/Spark上百亿规模数据查询延迟而设计
   
 
@@ -45,7 +63,7 @@ title: 首页
   
 
 Hadoop ANSI SQL 接口: 
-Kylin为Hadoop提供标准SQL支持大部分查询功能
+作为一个OLAP引擎,Kylin为Hadoop提供标准SQL支持大部分查询功能
   
 
 
@@ -66,7 +84,16 @@ title: 首页
 用户能够在Kylin里为百亿以上数据集定义数据模型并构建立方体
   
 
-
+
+  
+
+   
+
+实时 OLAP:
+Kylin可以在数据产生时进行实时处理,用户可以在秒级延迟下进行实时数据的多维分析。 

+  
+
+
   
 
   
diff --git a/website/index.md b/website/index.md
index 2059e51..29df0c9 100644
--- a/website/index.md
+++ b/website/index.md
@@ -1,6 +1,6 @@
 ---
 layout: default
-title: Home
+title: OLAP engine on big data
 ---
 
 
@@ -13,7 +13,7 @@ title: Home
   
   
   Apache Kylin™ is an open source 
Distributed Analytics Engine designed to provide SQL interface and 
multi-dimensional analysis (OLAP) on Hadoop/Spark supporting extremely large 
datasets, original contributed from eBay Inc.
-  Apache Kylin™ lets you query massive data 
set at sub-second latency in 3 steps.
+  Apache Kylin™ lets you query massively big 
data set at sub-second latency in 3 steps.
   
 
   
@@ -29,7 +29,8 @@ title: Home
 Query with ANSI-SQL and get results in sub-second, via 
ODBC, JDBC or RESTful API.
   
 
-  
+
+  Kylin offers integration capability with 
data visualization softwares like Tableau, PowerBI, etc., which enables data 
analysis with BI tools on Hadoop.
   
 
   
@@ -53,7 +54,7 @@ title: Home
 
   
 
-Extremely Fast OLAP Engine at Scale: 
+Extremely Fast OLAP Engine for Big Data at Scale: 
 Kylin is designed 
to reduce query latency on Hadoop/Spark for 10+ billions of rows of data
   
 
@@ -63,7 +64,7 @@ title: Home
   
 
 ANSI SQL Interface on Hadoop: 
-Kylin offers ANSI 
SQL on Hadoop/Spark and supports most ANSI SQL query functions
+As an OLAP 
engine, Kylin offers ANSI SQL on Hadoop/Spark and supports most ANSI SQL query 
functions
   
 
 
@@ -84,13 +85,22 @@ title: Home
 User can define a 
data model and pre-build in Kylin with more than 10+ billions of raw data 
records
   
 
-
+
+  
+
+  
+
+Real-time OLAP:
+Kylin is able