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NOSQL in the Cloud
This document summarizes a presentation on using non-relational databases (NOSQL) for data storage in the cloud. It discusses typical motivations for cloud solutions like low costs and scalability. It then covers issues with using relational databases to scale horizontally and vertically. Various NOSQL database models are introduced, including key-value, document, columnar, and graph databases. Tradeoffs between consistency, availability, and partition tolerance are discussed in relation to Brewer's CAP theorem. Code examples are provided for different NOSQL databases.
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NOSQL in the Cloud
- 1. 19. und 20.Oktober 2010 in Nürnbergwww.prioconference.de NOSQLDatenspeicherung in der Cloud Sergey Shishkin sergey.shishkin@mt-ag.com http://shishkin.org @sshishkin
- 3. Setting Expectations • Motivatorsfor cloud solutions • Distributed database issues • NOSQL solutions • Code examples • It’s not a deep dive session
- 5. Typical Motivators • Lowcost start-up • Grow fast • Peak loads • Security • Maintenance costs
- 7. Commodity Infrastructure • Infrastructure-,Platform as a Service • Raise the level of abstraction – Computational power instead of CPU, GHz and L2 Cache – Persistent storage instead of SATA, RAID and SCSI – Communication channels instead of Ethernet, DHCP and TCP • Everything will be in the cloud
- 9. Who can benefitfrom Cloud? • Web 2.0 start-ups • Social media
- 10.
- 11. Casual Online Games •Huge opportunity for start-ups • Low cost, low risk • Grow fast
- 13. 60 Million ActiveMonthly Users • Don’t know how FarmVille actually works • But their scalability requirements are huge
- 15.
- 17. Data persistence isa bottleneck • ACID Transactions • Locks are expensive • RDBMS power of choice – Optimized for massive writes – Or for ad-hoc structured queries – What a surprise! • How does RDBMS scale?
- 19. Vertical Scale • Costsgrow exponentially
- 21. Horizontal Scale • Master-SlaveReplication – Still bad for massive writes • Master-Master Replication – Resolving conflicts is hard in a normalized model • Sharding/Partitioning – Give up unique constraints, foreign keys, joins
- 23. What was thepoint of all that again? Pretty much nothing left over of RDBMS.
- 24. Consistency All clients always havethe same view of the data Availability Each client can always read and write Partition Tolerance The system works well despite physical network partitions Brewer’s CAP- Theorem
- 25. Meet CAP Theorem •You can choose only two!
- 26. Visual Guide to NOSQL SimpleDB AzureTS CouchDBRDBMS Consistency Allclients always have the same view of the data Availability Each client can always read and write Partition Tolerance The system works well despite physical network partitions MongoDB
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- 30. Domain: BlogPosts Item: 1 Column: Title Value: “SimpleDB” Column: Content Value: “…” Colulmn: Links Value: amazonwebservices.com Value:amazon.com Item: 2 ... Column Store
- 32. Data Storage Ecosystem •NOSQL = Not Only SQL • RDBMS still has its strengths – Unique constraints – But they don’t scale horizontally • You don’t need a hammer when you have the right tools ;)
- 33. Düsseldorf 2010 25. November2010, Ratingen http://cloudcamp.org/dusseldorf
- 34. Beratung Projekte Schulungen Application LifecycleDesign Entwicklung Architektur SOA Cloud Computing BalckeBalcke-Dürr-Allee 9, 40882 Ratingen www.mt-ag.com info@mt-ag.com
- 35. Links • Code Examples –MongoDB • http://github.com/shishkin/MyBlog/tree/mongodb/MyBlog.Web/Data – CouchDB • http://github.com/shishkin/MyBlog/tree/couchdb/MyBlog.Web/Data – SimpleDB • http://github.com/shishkin/MyBlog/tree/simpledb/MyBlog.Web/Data – Azure Table Service • http://github.com/shishkin/MyBlog/tree/azure/MyBlog.Web/Data • Full Visual Guide to NOSQL – http://blog.nahurst.com/visual-guide-to-nosql-systems
- 36. Images • http://www.flickr.com/photos/brianauer/2599299352/ (swimmingpool) •http://www.flickr.com/photos/orangeacid/227642583/ (cloud) • http://www.flickr.com/photos/runningclouds/3220810175/ (city in clouds) • http://isparade.jp (twitter parade) • http://www.flickr.com/photos/seeminglee/4090890825/ (farmville) • http://www.flickr.com/photos/icatus/2992269179/ (bottleneck) • http://www.flickr.com/photos/theplanetdotcom/4879421740/ (data center) • http://www.flickr.com/photos/redbullfanclub/3788029453/ (f1) • http://www.flickr.com/photos/stevendepolo/4536694260/ (broken glass) • http://www.flickr.com/photos/starstreak007/3232853321/ (toy car) • http://browsertoolkit.com/fault-tolerance.png • http://www.flickr.com/photos/ebarney/3348965007/ (tools)