Active Cloud DB at CloudComp '10

Oct 30, 20100 likes828 views

Active Cloud DB is a RESTful interface that allows easy evaluation and comparison of distributed databases. It runs on Google App Engine and exposes key-value access to databases like BigTable through a simple REST API. Tests can be run quickly to generate performance graphs comparing databases. The system includes sample bookstore applications and supports caching for improved performance.

Active Cloud DB:A RESTful
Software-as-a-Service for Language
Agnostic Access to Distributed
Datastores
Chris Bunch Jonathan Kupferman Chandra Krintz
Wednesday, October 27, 2010
CloudComp 2010
1

Do ItYourself!
• Pick a datastore
• Learn how the interfaces SHOULD work
• Learn how the interfaces REALLY work
• Migrate to a non-relational data model
• each of these are non-trivial!
3

Trouble in Paradise
4
(at least they’re honest about it)

The Problem
• No way to compare databases with real
applications
• No standard on what a real test is
• Too many variables in the equation
• Topology, query language, data model,
APIs, consistency settings (to name a few)
5

You Need A Better Way
• Need a platform to:
• Easily evaluate datastores
• Quickly evaluate datastores
• Evaluate datastores on similar metrics
6

Our Contribution
• Active Cloud DB:A Google App Engine app
that exposes the DB via REST
• Exposes string key/value DB
• Speed up repeated operations via caching
• Works on Google or AppScale
•Free access to BigTable
7

Realistically Speaking
• One test takes ~ 2 hours
• In one day at work you could generate a
graph comparing:
• HBase
• Cassandra
• Google BigTable
• Amazon SimpleDB
9

RESTful Interface
• GET /resources/key ➜ get
• POST /resources/key (with value) ➜ put
• DELETE /resources/key ➜ delete
• GET /resources ➜ query (get all)
10

Caching Support
• Leverages Memcache API / memcached
• Provides a Least-Recently-Used Cache
• Write-through caching strategy - all puts /
deletes are written to the cache
• Generational caching strategy - queries use
a generation number
11

Bookstore App
• Four prototypes available that use Active
Cloud DB:
• Ruby on Rails
• Ruby (through Sinatra)
• Python (via Django)
• Python (through web.py)
12

The Actual Code
• With BigTable:
• val = `curl -X GET http://your-
app.appspot.com/resources/#{key}`
• Or in AppScale:
• val = `curl -X GET http://
128.111.55.223:8080/resources/#{key}`
14

• Originally presented at CloudComp 2009
• An open-source implementation of the
Google App Engine APIs
• Automatically conﬁgures and deploys cloud
infrastructures to run your application
•includes database deployment
15

• Supported Datastores as of AppScale 1.4:
• HBase, Hypertable
• MySQL
• Cassandra,Voldemort, Scalaris
• MongoDB
• MemcacheDB
• Amazon SimpleDB
16

Not Good Enough
• AppScale / GAE solve the problem for
Python and Java
• But only with certain APIs
• And with certain restrictions
• Need something general purpose
•All languages, no restrictions
18

But how do we test it?
• Cassandra 0.5.0 / MemcacheDB 1.2.1β
• Place 1000 items in the database and time:
• Get, put, query, delete operations
• Nine accessor threads
• Standard deployment model
19

A different type of test
• Workload model
• 10000 random operations selected
• 50/30/20 get/put/query ratio
• Constrained to 16 nodes
• Performed on initially empty database
23

Future Work
• Performance impact of:
• Cache size
• Millions of items in DB
• Overhead of Active Cloud DB
• Transaction support
27

Related Work
• BigTable as a Web Service
• Not open source, HBase-like API
• Yahoo Cloud Serving Benchmark[SOCC10]
• Doesn’t run applications
• No automation - you set up the DB,
you set up the schemas, etc.
28

Active Cloud DB is
Open for Business
• Open source - free to use
• Customize your own batch test or
workload test
• Access it via any programming language
• Bookstore applications included
29

Thanks!
• Download Active Cloud DB and AppScale:
• http://appscale.cs.ucsb.edu
• To my advisor, Chandra Krintz
• To the AppScale team, especially co-lead
Navraj Chohan
30

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Active Cloud DB at CloudComp '10

1. Active Cloud DB:A RESTful Software-as-a-Service for Language Agnostic Access to Distributed Datastores Chris Bunch Jonathan Kupferman Chandra Krintz Wednesday, October 27, 2010 CloudComp 2010 1

2. Who’s Using NoSQL? 2 and many others!

3. Do ItYourself! • Pick a datastore • Learn how the interfaces SHOULD work • Learn how the interfaces REALLY work • Migrate to a non-relational data model • each of these are non-trivial! 3

4. Trouble in Paradise 4 (at least they’re honest about it)

5. The Problem • No way to compare databases with real applications • No standard on what a real test is • Too many variables in the equation • Topology, query language, data model, APIs, consistency settings (to name a few) 5

6. You Need A Better Way • Need a platform to: • Easily evaluate datastores • Quickly evaluate datastores • Evaluate datastores on similar metrics 6

7. Our Contribution • Active Cloud DB:A Google App Engine app that exposes the DB via REST • Exposes string key/value DB • Speed up repeated operations via caching • Works on Google or AppScale •Free access to BigTable 7

8. 8

9. Realistically Speaking • One test takes ~ 2 hours • In one day at work you could generate a graph comparing: • HBase • Cassandra • Google BigTable • Amazon SimpleDB 9

10. RESTful Interface • GET /resources/key ➜ get • POST /resources/key (with value) ➜ put • DELETE /resources/key ➜ delete • GET /resources ➜ query (get all) 10

11. Caching Support • Leverages Memcache API / memcached • Provides a Least-Recently-Used Cache • Write-through caching strategy - all puts / deletes are written to the cache • Generational caching strategy - queries use a generation number 11

12. Bookstore App • Four prototypes available that use Active Cloud DB: • Ruby on Rails • Ruby (through Sinatra) • Python (via Django) • Python (through web.py) 12

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14. The Actual Code • With BigTable: • val = `curl -X GET http://your- app.appspot.com/resources/#{key}` • Or in AppScale: • val = `curl -X GET http:// 128.111.55.223:8080/resources/#{key}` 14

15. • Originally presented at CloudComp 2009 • An open-source implementation of the Google App Engine APIs • Automatically conﬁgures and deploys cloud infrastructures to run your application •includes database deployment 15

16. • Supported Datastores as of AppScale 1.4: • HBase, Hypertable • MySQL • Cassandra,Voldemort, Scalaris • MongoDB • MemcacheDB • Amazon SimpleDB 16

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18. Not Good Enough • AppScale / GAE solve the problem for Python and Java • But only with certain APIs • And with certain restrictions • Need something general purpose •All languages, no restrictions 18

19. But how do we test it? • Cassandra 0.5.0 / MemcacheDB 1.2.1β • Place 1000 items in the database and time: • Get, put, query, delete operations • Nine accessor threads • Standard deployment model 19

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23. A different type of test • Workload model • 10000 random operations selected • 50/30/20 get/put/query ratio • Constrained to 16 nodes • Performed on initially empty database 23

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27. Future Work • Performance impact of: • Cache size • Millions of items in DB • Overhead of Active Cloud DB • Transaction support 27

28. Related Work • BigTable as a Web Service • Not open source, HBase-like API • Yahoo Cloud Serving Benchmark[SOCC10] • Doesn’t run applications • No automation - you set up the DB, you set up the schemas, etc. 28

29. Active Cloud DB is Open for Business • Open source - free to use • Customize your own batch test or workload test • Access it via any programming language • Bookstore applications included 29

30. Thanks! • Download Active Cloud DB and AppScale: • http://appscale.cs.ucsb.edu • To my advisor, Chandra Krintz • To the AppScale team, especially co-lead Navraj Chohan 30

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Active Cloud DB at CloudComp '10

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