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CUBRID Reference Architecture for Social Networking Service,[object Object],Kieun Park,[object Object],NHN Business Platform Corp.,[object Object],2011.8,[object Object]
46  CUBRID Reference Architecture for Social Networking Service,[object Object],2 /,[object Object]
Abstract,[object Object],46  CUBRID Reference Architecture for Social Networking Service,[object Object],3 /,[object Object],The top ranked facebook celebrity has 44 million fans. The top ranked twitter user has 11 million followers. There are over 900 million objects in the facebook site and 140 million tweets people send per day. Needless to say, these facts heavily impact on database they have. Thus, best practice in database architecture is important.,[object Object],Online social networking (OSN) services have rapidly proliferated and changed the way data is stored and served. Social data is an enormous graph of small objects that are tightly interconnected. The service page of OSN is a view of those small objects customized to a specific viewers at a specific time. Typically, the view is aggregation of events connected by social graph which is changing constantly with users' realtime interaction. Even though the Dunbar's number shows that the number of people with whom one gets stable social relationship is relatively small as 150, in OSN site celebs have a large number of followers so that the social graph is very huge. These properties of the data lead to new challenges, and  demands new database architecture to handle them.,[object Object],The main considerations of database architecture for OSN are about scale-out and performance in addition to high availability as mandatory. the main characteristics of OSN service in terms of data are power-law scaling, data feeding frenzy and Zipfian distribution access. Data being delivered are exponentially growing according to the popularity of the service. Cost-effective database scale-out architecture is important to business requirement as well as to technical issues.,[object Object],In this presentation, CUBRID Reference Architecture for social networking service will be shown. The presented architectures are based on best practices developed from real business cases of NHN, biggest portal service provider in Korea. Described are the helpful features to support the database architecture demands for OSN service. For example, index scan with top-k sorting technique  is developed for fast feed aggregation. Also, HA, automatic sharding and clustering features of the CUBRID will be explained. Finally, the nStore, a distributed database system based on the CUBRID, will be introduced. Concept of the nStore is similar to Amazon Dynamo but different in that it support SQL.,[object Object]
I Am,[object Object],46  CUBRID Reference Architecture for Social Networking Service,[object Object],4 /,[object Object],박기은Kieun Park,[object Object],[object Object]
Service Platform Development Center
NHN Business Platform Corp.
iamyaw@nhn.com
CUBRID Open Source DBMS
nStore Distributed Database System,[object Object]
Contents,[object Object],46  CUBRID Reference Architecture for Social Networking Service,[object Object],6 /,[object Object],Characteristics of online social networking service,[object Object],Challenges and demands on database architecture,[object Object],CUBRID features,[object Object],CUBRID reference architecture for social networking service,[object Object],Business demands and system requirements,[object Object],Main considerations of database architecture for OSN service,[object Object],Scale-out, performance, and high availability,[object Object]
Contents,[object Object],46  CUBRID Reference Architecture for Social Networking Service,[object Object],7 /,[object Object],Characteristics of online social networking service,[object Object],Challenges and demands on database architecture,[object Object],CUBRID unique features,[object Object],CUBRID reference architecture for social networking service,[object Object],Index scan with top-k sorting technique,[object Object],High availability feature,[object Object],Automatic sharding component,[object Object],CUBRID Cluster System,[object Object],nStore, a distributed database system based on the CUBRID,[object Object]
Contents,[object Object],46  CUBRID Reference Architecture for Social Networking Service,[object Object],8 /,[object Object],Characteristics of online social networking service,[object Object],Challenges and demands on database architecture,[object Object],CUBRID features,[object Object],CUBRID reference architecture for social networking service,[object Object],CUBRID Web Reference Architecture,[object Object],CUBRID SNS Reference Architecture,[object Object]
46  CUBRID Reference Architecture for Social Networking Service,[object Object],9 /,[object Object],Characteristics of online social networking service,[object Object]
Some Infographics about Online Social Networking Service,[object Object],46  CUBRID Reference Architecture for Social Networking Service,[object Object],10 /,[object Object],The history and evolution of OSN are made in last 10 years.,[object Object],Source http://blog.skloog.com/history-social-media-history-social-media-bookmarking/,[object Object]
Some Infographics about Online Social Networking Service,[object Object],46  CUBRID Reference Architecture for Social Networking Service,[object Object],11 /,[object Object],500 million Facebook users, 106 million Twitter users,[object Object],Social networks with user bases larger than the population of most countries,[object Object],Source http://www.digitalsurgeons.com/facebook-vs-twitter-infographic/,[object Object]
Some Infographics about Online Social Networking Service,[object Object],46  CUBRID Reference Architecture for Social Networking Service,[object Object],12 /,[object Object],The top ranked twitter user, Lady Gaga, has 11 million followers. About 55 million Tweets per day.,[object Object],Twitter gets about 600 million queries every day.,[object Object],(http://twitaholic.com),[object Object],Source http://www.digitalbuzzblog.com/infographic-twitter-statistics-facts-figures/,[object Object]
Some Infographics about Online Social Networking Service,[object Object],46  CUBRID Reference Architecture for Social Networking Service,[object Object],13 /,[object Object],The most followed person, Eminem, has more than 44 million fans.,[object Object],More than 5 billion pieces of content shared each week.,[object Object],2,716,000 messages, 1,587,000 wall posts, 10,208,000 comments in 20 minutes on Facebook.,[object Object],(http://www.independent.co.uk),[object Object],Source http://www.digitalbuzzblog.com/facebook-statistics-facts-figures-for-2010/,[object Object],Source http://www.digitalbuzzblog.com/facebook-statistics-stats-facts-2011/,[object Object]
Some Infographics about Online Social Networking Service,[object Object],46  CUBRID Reference Architecture for Social Networking Service,[object Object],14 /,[object Object],Have we reached a world of infinite information?,[object Object],In a similar manner to our universe, the Internet is expanding at an incredibly rapid pace, reaching new levels of information storage and content creation every second.,[object Object],By 2020,,[object Object],roughly 25x1018 (quintillion),[object Object],information containers,[object Object],Every minute,,[object Object],24 hours of video,[object Object],The growth gap,[object Object],between,[object Object],the digital contents created,[object Object],and the available storage,[object Object],Sourcehttp://www.flowtown.com/blog/have-we-reached-a-world-of-infinite-information,[object Object]
Statistics of Facebook and Twitter,[object Object],46  CUBRID Reference Architecture for Social Networking Service,[object Object],15 /,[object Object],140 million; the average number of Tweets people sent per day.,[object Object],6,939;current TPSrecord.,[object Object],More than 750 million active users.,[object Object],There are over 900 million objects that people interact with (pages, groups, events and community pages),[object Object],Source http://www.facebook.com/press/info.php?statistics,[object Object],Source http://blog.twitter.com/2011/03/numbers.html,[object Object]
Statistics of Me2Day,[object Object],46  CUBRID Reference Architecture for Social Networking Service,[object Object],16 /,[object Object],Postings per day: 278,461,[object Object],Total postings: 123,456,727,[object Object],Total photos: 10,638,089,[object Object]
Online social networking service,[object Object],46  CUBRID Reference Architecture for Social Networking Service,[object Object],17 /,[object Object],Social data is an enormous graph of small objects that are tightly interconnected.,[object Object],The service page of OSN is a aggregation of events connected by social graph which is changing constantly with users' realtimeinteraction.,[object Object]
Feed Following Works,[object Object],46  CUBRID Reference Architecture for Social Networking Service,[object Object],18 /,[object Object],Feeds Following,[object Object],Contents,[object Object],(comment, photo, tag,  …),[object Object],Follower,[object Object],News Feeds,[object Object],(personalized feeds),[object Object],Application Layer,[object Object],Outbox,[object Object],Inbox,[object Object],Delivery & Aggregation,[object Object],Engine,[object Object],Content Management Layer,[object Object],Cache,[object Object],Database,[object Object],Database,[object Object],Data Storage Layer,[object Object]
Characteristics of Online Social Networking Service,[object Object],46  CUBRID Reference Architecture for Social Networking Service,[object Object],19 /,[object Object],Power-law scalinggrowth,[object Object],[object Object]
Followers gets personalized feeds that aggregate streams produced those followed.
Highly variable and somewhat bit fan-out of the follows graph makes data feeding difficult to implement and requires high cost to operate.Online social networks have properties of significant clustering, small diameter, and power-law degrees.,[object Object],Zipfiandistribution access,[object Object],Data feeding frenzy,[object Object],Twitter Activity,[object Object],5% of users account for 75% of all activity, 10% account for 86% of activity, and the top 30% account for 97.4%.,[object Object]
46  CUBRID Reference Architecture for Social Networking Service,[object Object],20 /,[object Object],Challenges and demands on database architecture,[object Object]
Challenge and Demands on Database Architecture,[object Object],46  CUBRID Reference Architecture for Social Networking Service,[object Object],21 /,[object Object],From business demands to technology implementation.,[object Object],[object Object]
Today social media generates more information in a short period of time than was previously available in the entire world a few generations ago.
Not only the exponential growth of Facebook, Google+, Twitter, but also the use of more and more rich media such as user-generated video from smart phone, is surely driving big data.Source http://www.itu.int/net/itunews/issues/2010/06/35.aspx,[object Object]
Social media now produces massive amounts of data. Facebook’s network, for instance, consists of 100 million entities generating tens of millions of events per second. Twitter, meanwhile, funnels 140 million public tweets a day. [GigaOM research notes],[object Object],With enterprise data volumes moving past terabytes to tens of petabytes and more, business and IT leaders face significant opportunities and challenges from big data. For a large enterprise, big data may be in the petabytes or more; for a small or mid-size enterprise, data volumes that grow into tens of terabytes may become challenging to analyze and manage. ,[object Object],When an application is being designed, software architects need to plan for much greater application load to avoid major redesigns in the future. While scaling out web servers can be done quite easily, properly scaling out database servers is far more challenging and happens.,[object Object],Challenge and Demands on Database Architecture,[object Object],46  CUBRID Reference Architecture for Social Networking Service,[object Object],22 /,[object Object],Managing user generated socialinteraction data!,[object Object],Coping with explosion in data volume!,[object Object],Cost-effective scale-out to meet rapidly growing demands!,[object Object]
46  CUBRID Reference Architecture for Social Networking Service,[object Object],23 /,[object Object],CUBRID unique features,[object Object]
CUBRID,[object Object],46  CUBRID Reference Architecture for Social Networking Service,[object Object],24 /,[object Object],Free,[object Object],open source,[object Object],is the choice,[object Object],of the modern,[object Object],world,[object Object],Powerful,[object Object],clean architecture,[object Object],with rich functionality,[object Object],for competitive,[object Object],performance,[object Object],Enterprise,[object Object],unique features,[object Object],for stability,[object Object],and reliability,[object Object]
[object Object]
Reclaim deleted space
Fast serial data (cached)
LFS (large file support ) for database volumeCUBRID,[object Object],46  CUBRID Reference Architecture for Social Networking Service,[object Object],25 /,[object Object],CUBRID 4.0 stable released.,[object Object],July, 2011,[object Object],CUBRID 3.0 stable released.,[object Object],October, 2010,[object Object],Official open source community, www.cubrid.org, opened.,[object Object],[object Object]
Database volume size reduced.
Multi-range scan and key limit function
Covered indexOctober, 2009,[object Object],CUBRID Cluster Project has been started.,[object Object],September, 2009,[object Object],CUBRID 2008 R2.0 stable released.,[object Object],August, 2009,[object Object],[object Object]
HA monitoring
Full SQL function supportCUBRID became an open source project.,[object Object],CUBRID 2008 R1.1 stable was released.,[object Object],November, 2008,[object Object],First internal release CUBRID 2008 R1.0,[object Object],October, 2008,[object Object],The development of CUBRID DBMS started.,[object Object],2011,[object Object],2006 ,[object Object],2007 ,[object Object],2008 ,[object Object],2009 ,[object Object],2010 ,[object Object],2012,[object Object]
CUBRID Index Scan with Top-k Sorting Technique,[object Object],46  CUBRID Reference Architecture for Social Networking Service,[object Object],26 /,[object Object],CUBRID does multi-range index scan.,[object Object],My friends’ newest twenty comments,[object Object],SELECT post_no FROM postsWHERE id IN (4, 15, 36, …) AND registered_date < 20000,[object Object],ORDER BY registered_date DESC LIMIT 20,[object Object],Multi-range scan,[object Object],Single range scan with key filter,[object Object],Disk I/O ?!,[object Object],# of leaf pages accessed,[object Object],> # of keys of scan result,[object Object],# of leaf pages accessed ,[object Object],= # of keys of scan result,[object Object],Filter out,[object Object],On the fly sorting,[object Object],during scan,[object Object],Sort after scan,[object Object],(4,10001) (4,9999) (4,875) …,[object Object],(4,10001) (4,9999) (4,875) …,[object Object],(36,947) (36,120) (36,3) …,[object Object],(36,947) (36,120) (36,3) …,[object Object],(15, 10000) (15,9999) (15, 7467) …,[object Object],(15, 10000) (15,9999) (15, 7467) …,[object Object]
CUBRID Index Scan with Top-k Sorting Technique,[object Object],46  CUBRID Reference Architecture for Social Networking Service,[object Object],27 /,[object Object],SELECT * FROM tbl WHERE a IN (2, 4, 5) AND b < ‘K’,[object Object],ORDER BY b LIMIT 3;,[object Object],SELECT * FROM tbl WHERE a = 2 AND b < ‘K’,[object Object],ORDER BY b LIMIT 3;,[object Object]
CUBRID Test Results,[object Object],46  CUBRID Reference Architecture for Social Networking Service,[object Object],28 /,[object Object],Refer http://www.cubrid.org/cubrid_mysql_sns_benchmark_test,[object Object],Test case 1: user group 1 only,[object Object],Test case 2: user group 2 only,[object Object],Test case 3: 40% of user group 1, 50% of user group 2, 10% of user group 3,[object Object],Test case 4: 10% of user group 1, 50% of user group 2, 40% of user group 3,[object Object],User group 1: users with 50 or less friends,[object Object],User group 2: users with 51~2000 friends,[object Object],User group 3: users with friends up to tens of thousands,[object Object]
CUBRID High Availability Feature,[object Object],46  CUBRID Reference Architecture for Social Networking Service,[object Object],29 /,[object Object],CUBRID HA, highly fault-resistant DBMS enables,[object Object],[object Object]

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CUBRID Features Optimized for Social Networking Services