This deck has been presented by Luke Han at Apache Big Data 2016 NA on May 9, 2016.

1. The Evolution
of Apache KylinLuke Han | 韩卿
lukehan@apache.org
2016-05-09 Vancouver, Canada

2. About me…
§Luke Han | 韩卿
§ Co-creator & VP of Apache Kylin
§ ASF Member
§ Co-founder & CEO at Kyligence Inc
§ lukehan@apache.org
§ Twitter: @lukehq

3. Apache Kylin

4. Why
Happiness
Latency
10s

5. What we have tried?
Kylin

6. About Apache Kylin
http://kylin.apache.org
Extreme OLAP Engine
for Big Data
Apache Kylin is an open source Distributed
Analytics Engine designed to provide SQL
interface and multi-dimensional analysis (OLAP)
on Hadoop, supporting extremely large datasets
and sub-second level response time.
kylin / ˈkiːˈlɪn / 麒麟
--n. (in Chinese art) a mythical animal of composite form

7. About Apache Kylin
OLAP/数据集市
• Born for Big Data Anlytics
• Sub-seconds Latency
• ANSI SQL
• Seamless Integration
with BI Tools
• Plug-able Architecture

8. time, item
time, item, location
time, item, location, supplier
time item location supplier
time, location
Time, supplier
item, location
item, supplier
location, supplier
time, item, supplier
time, location, supplier
item, location, supplier
0-D(apex) cuboid
1-D cuboids
2-D cuboids
3-D cuboids
4-D(base) cuboid
• Base vs. aggregate cells; ancestor vs. descendant cells; parent vs. child cells
1. (9/15, milk, Urbana, Dairy_land) - <time, item, location, supplier>
2. (9/15, milk, Urbana, *) - <time, item, location>
3. (*, milk, Urbana, *) - <item, location>
4. (*, milk, Chicago, *) - <item, location>
5. (*, milk, *, *) - <item>
• Cuboid = one combination of dimensions
• Cube = all combination of dimensions
(all cuboids)
OLAP Cube
Cube － Balance Between Space and Time

9. Architecture
Map Reduce/Spark
Kylin
BI Tools, Web App…
ANSI SQL

10. Apache Kylin Journey
Go Live at eBay &
Open Source on Github
Apache Incubator
First Apache Release
v0.71
InfoWorld: Bossie Award
Best Open Source
Big Data Tool
Apache Release v1.0
Apache
Top Level Project
Sept 2013 Oct 2014 June 2015 Nov 2015
Nov 2014 Sept 2015
§ Kyligence founded
Mar 2016
Project kickoff

11. Apache Kylin Global Adoptions

12. Use Case: JD.com

13. Use Case: Baidu Map

14. Use Case: NetEase

15. Performance and Throughput
By NetEase:
http://www.bitstech.net/2016/01/04/kylin-olap/

16. The Evolution

17. Apache Kylin New Features
§ Plugin-able architecture
§ New MR Cube Engine with fast cubing (1.5x faster)
§ New HBase Storage with parallel scan (2x faster)
§ Near real-time analysis
§ User defined aggregations
§ Excel / PowerBI / Zeppelin integration

18. The Freedom, Extensibility, Flexibility
§ Freedom
§ Zoo break, not bound to Hadoop any more
§ Free to go to a better engine or storage
§ Extensibility
§ Accept any input, e.g. Kafka
§ Embrace next-gen distributed platform, e.g. Spark
§ Flexibility
§ Choose different engine for different data set

19. New generation design
Cube Builder (MapReduce…)
SQL
Low Latency -
SecondsRouting
3rd Party App
(Web App, Mobile…)
Metadata
SQL-Based Tool
(BI Tools: Tableau…)
Query Engine
Hadoop
Hive
REST API JDBC/ODBC
Ø Online Analysis Data Flow
Ø Offline Data Flow
Ø Clients/Users interactive with
Kylin via SQL
Ø OLAP Cube is transparent to
users
Star Schema Data Key Value Data
Data
Cube
OLAP
Cubes
(HBase)
SQL
REST ServerData Source
Abstraction
Engine
Abstraction
Storage
Abstraction

20. MR Engine
IN OUT
Hive
Source
HBase
Storage
Cube Metadata
SourceFactory StorageFactoryEngineFactory
Plug-able architecture

21. Plug-able architecture
MR Engine
Hive Adapter HBase Adapter
load data save cubeHive
Source
HBase
Storage
adapt to IN adapt to OUT

22. Parallel Scan
§ Slow queries are 5-10x faster.
§ New Hbase storage enables partition on cuboids that are big enough.
§ Overall query time is 2x faster than before, sum results from 10,000+ queries.
Query
Cuboid A
Cuboid B
Query
A1 B1
A2 B2
A3 C
Cuboid C
Server 1
Server 2
Server 3
Server 1
Server 2
Server 3

23. Near Realtime Incremental Build
n Minutes micro cubes
n Kafka source
n In-mem cubing
n Auto merge

24. User Defined Aggregation Types
§ HyperLogLog Count Distinct
§ TopN
§ BitMap Precise Count Distinct
§ from Sun, Yerui (meituan.com)
§ Raw Records
§ from Wang, Xiaoyu (jd.com)

25. Support more BI & Visualization Tools
§ Supports Tableau 9.1
§ Supports MS Excel
§ Supports MS Power BI
§ Supports Zeppelin

26. Roadmap

27. Apache Kylin Roadmap

28. 2016 Focus…
§ Streaming and Real Time
§ Performance, performance and performance
§ Support more BI & visualization tools
§ SQL & OLAP Functions.

29. Q & A
§More…
§Website: http://kylin.apache.org
§Twitter: @ApacheKylin
§Contact Me:
§ lukehan@apache.org
§ @lukehq