WTF is NoSQL

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A very nice and comprehensive introduction into NoSQL world. Covered topics are what it is, why should you care, when should you start caring, different approaches to implementation, what are the differences between different NoSQL databases and what should work best for your case.

Technologie

Who am I?
Vitaly Kushner

• Founder of Astrails
• 19 years of industry experience
• Building Web Apps since 2005

Wednesday, June 16, 2010

NoSQL
when, why and how?

Vitaly Kushner
astrails.com

Wednesday, June 16, 2010

Yahoo

Google

Amazon

Wednesday, June 16, 2010

Yahoo
Facebook

Google

Amazon

Wednesday, June 16, 2010

Yahoo
Facebook

Twitter Google

Amazon

Wednesday, June 16, 2010

Yahoo
Digg Facebook

Twitter Google

Amazon

Wednesday, June 16, 2010

Yahoo
Digg Facebook

Twitter Google

Amazon Rackspace

Wednesday, June 16, 2010

Yahoo
Digg Facebook

Twitter Google
LinkedIn
Amazon Rackspace

Wednesday, June 16, 2010

Yahoo
Digg Facebook

Twitter
Everybody Google
LinkedIn
Amazon Rackspace

Wednesday, June 16, 2010

NoSQL
NoSQL
NoSQL NoSQL
NoSQL NoSQL
NoSQL NoSQL
NoSQL
NoSQL

Wednesday, June 16, 2010

WTF is NoSQL?
and why should you care?

Wednesday, June 16, 2010

Non relational

Wednesday, June 16, 2010

Document based

Non relational

Wednesday, June 16, 2010

Document based
Key-Value store
Non relational

Wednesday, June 16, 2010

Document based
Key-Value store
Non relational
column-based

Wednesday, June 16, 2010

Document based
Key-Value store
Non relational
column-based

Graph DB

Wednesday, June 16, 2010

Document based
Key-Value store
Non relational
column-based Distributed
Graph DB

Wednesday, June 16, 2010

Schema-less
Document based
Key-Value store
Non relational
column-based Distributed
Graph DB

Wednesday, June 16, 2010

Schema-less
Document based
Key-Value store
Non relational
column-based Distributed

BASE is not ACID Graph DB

Wednesday, June 16, 2010

Massive Data Volume
100K servers in a cluster

Wednesday, June 16, 2010

Massive Data Volume
100K servers in a cluster
Twitter: 7+T/day

Wednesday, June 16, 2010

High query workload
MongoDB: 8M operations/sec

Wednesday, June 16, 2010

Flexible Schema
on the ﬂy schema changes

Wednesday, June 16, 2010

Everyone want
Availability

Wednesday, June 16, 2010

RDBMS
can deliver

Wednesday, June 16, 2010

Not ACID anymore

Wednesday, June 16, 2010

CAP theorem
Pick two

• Consistent
• Available
• Partition tolerant

Wednesday, June 16, 2010

Throw hardware
money at it!

Wednesday, June 16, 2010

MySQL + Memcached
=
“square wheel”
cassandra

Wednesday, June 16, 2010

Which one?

• document based
• column or key-value store
• advanced storage schemas

Wednesday, June 16, 2010

Cassandra

• built by Facebook
• very high write throughput
• OLTP
• automatic horizontal scaling
• no single point of failure

Wednesday, June 16, 2010

HBase

• Apache project
• Consistent
• Optimized for analytics (OLAP)
• Has single point of failure

Wednesday, June 16, 2010

MongoDB

• probably easiest to move to from SQL
• document based
• on-demand queries
• automatic sharding
• no single-node durability

Wednesday, June 16, 2010

CoachDB

• document based
• map-reduce javascript querying/ﬁltering.
• has some replication and scaling problems

Wednesday, June 16, 2010

REDIS

• key-value store
• advanced data types: list, set
• atomic operations

Wednesday, June 16, 2010

Users: {

vitaly: {

email: vitaly@astrails.com,

company: astrails,

password: secret

},

michael: {

email: michael@astrails.com,

company: astrails,

password: superduper

},

...

}

Wednesday, June 16, 2010

UsersByEmail: {
"vitaly@astrails.com": "vitaly",
"michael@astrails.com": "michael",
...
}

Wednesday, June 16, 2010

NoSQL can help
You

Wednesday, June 16, 2010

WTF is NoSQL?
Q &A

Vitaly Kushner
astrails.com

@astrails @vkushner
Wednesday, June 16, 2010

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WTF is NoSQL

1. Who am I? Vitaly Kushner • Founder of Astrails • 19 years of industry experience • Building Web Apps since 2005 Wednesday, June 16, 2010

2. NoSQL when, why and how? Vitaly Kushner astrails.com Wednesday, June 16, 2010

3. Google Wednesday, June 16, 2010

4. Yahoo Google Wednesday, June 16, 2010

5. Yahoo Google Amazon Wednesday, June 16, 2010

6. Yahoo Facebook Google Amazon Wednesday, June 16, 2010

7. Yahoo Facebook Twitter Google Amazon Wednesday, June 16, 2010

8. Yahoo Digg Facebook Twitter Google Amazon Wednesday, June 16, 2010

9. Yahoo Digg Facebook Twitter Google Amazon Rackspace Wednesday, June 16, 2010

10. Yahoo Digg Facebook Twitter Google LinkedIn Amazon Rackspace Wednesday, June 16, 2010

11. Yahoo Digg Facebook Twitter Everybody Google LinkedIn Amazon Rackspace Wednesday, June 16, 2010

12. NoSQL NoSQL NoSQL NoSQL NoSQL NoSQL NoSQL NoSQL NoSQL NoSQL Wednesday, June 16, 2010

13. WTF is NoSQL? and why should you care? Wednesday, June 16, 2010

14. Non relational Wednesday, June 16, 2010

15. Document based Non relational Wednesday, June 16, 2010

16. Document based Key-Value store Non relational Wednesday, June 16, 2010

17. Document based Key-Value store Non relational column-based Wednesday, June 16, 2010

18. Document based Key-Value store Non relational column-based Graph DB Wednesday, June 16, 2010

19. Document based Key-Value store Non relational column-based Distributed Graph DB Wednesday, June 16, 2010

20. Schema-less Document based Key-Value store Non relational column-based Distributed Graph DB Wednesday, June 16, 2010

21. Schema-less Document based Key-Value store Non relational column-based Distributed BASE is not ACID Graph DB Wednesday, June 16, 2010

22. Why & When Wednesday, June 16, 2010

23. Massive Data Volume 100K servers in a cluster Wednesday, June 16, 2010

24. Massive Data Volume 100K servers in a cluster Twitter: 7+T/day Wednesday, June 16, 2010

25. High query workload MongoDB: 8M operations/sec Wednesday, June 16, 2010

26. Flexible Schema on the ﬂy schema changes Wednesday, June 16, 2010

27. Massive Scale Wednesday, June 16, 2010

28. Availability Wednesday, June 16, 2010

29. Everyone want Availability Wednesday, June 16, 2010

30. RDBMS can deliver Wednesday, June 16, 2010

31. high price Wednesday, June 16, 2010

32. Not ACID anymore Wednesday, June 16, 2010

33. CAP theorem Pick two • Consistent • Available • Partition tolerant Wednesday, June 16, 2010

34. Scale How? Wednesday, June 16, 2010

35. Throw hardware money at it! Wednesday, June 16, 2010

36. Par-ti-tion Wednesday, June 16, 2010

37. MySQL + Memcached = “square wheel” cassandra Wednesday, June 16, 2010

38. How? Wednesday, June 16, 2010

39. Which one? • document based • column or key-value store • advanced storage schemas Wednesday, June 16, 2010

40. Cassandra • built by Facebook • very high write throughput • OLTP • automatic horizontal scaling • no single point of failure Wednesday, June 16, 2010

41. HBase • Apache project • Consistent • Optimized for analytics (OLAP) • Has single point of failure Wednesday, June 16, 2010

42. MongoDB • probably easiest to move to from SQL • document based • on-demand queries • automatic sharding • no single-node durability Wednesday, June 16, 2010

43. CoachDB • document based • map-reduce javascript querying/ﬁltering. • has some replication and scaling problems Wednesday, June 16, 2010

44. REDIS • key-value store • advanced data types: list, set • atomic operations Wednesday, June 16, 2010

45. Schema Wednesday, June 16, 2010

46. Users: { vitaly: { email: vitaly@astrails.com, company: astrails, password: secret }, michael: { email: michael@astrails.com, company: astrails, password: superduper }, ... } Wednesday, June 16, 2010

47. UsersByEmail: { "vitaly@astrails.com": "vitaly", "michael@astrails.com": "michael", ... } Wednesday, June 16, 2010

48. Migrations Wednesday, June 16, 2010

49. Start Slow Wednesday, June 16, 2010

50. NoSQL can help You Wednesday, June 16, 2010

51. WTF is NoSQL? Q &A Vitaly Kushner astrails.com @astrails @vkushner Wednesday, June 16, 2010

WTF is NoSQL

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