London MongoDB User Group April 2011
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This document provides a short introduction to MongoDB. It discusses that MongoDB is a scalable, high-performance, open source, document-oriented database that stores JSON-like documents. It then demonstrates some basic MongoDB operations like insert, find, update, remove, and indexing documents in a collection. The document recommends further resources on additional MongoDB features and capabilities.
London MongoDB User Group April 2011
- 1. A short introduction to MongoDB Russell Smith
- 2. /usr/bin/whoami • Russell Smith • Consultant for UKD1 Limited • Specialising in helping companies going through rapid growth • Help with code, architecture, infrastructure, devops, sysops, capacity planning, etc • <3 gearman, mongodb, neo4j, mysql, kohana, riaksearch, php, debian
- 3. What is MongoDB • A scalable, high-performance, open source, document-oriented database. • Stores JSON like documents • Indexible on any attributes (like MySQL)
- 4. Getting started... • Try out the interactive shell at www.mongodb.org (then click try!) • Download and install - http://www.mongodb.org/downloads
- 5. Basics • Common things you do in MySQL or another RDBMS; • Insert • Select (aka find) • Update • Delete (aka remove) • Index
- 6. Create • Creating ‘tables’, or in MongoDB terms collections, is not usually necessary • Ditto for databases
- 7. Insert • db.test.insert({hello: ‘world’}); • This insert the document {hello: ‘world’} into the test collection
- 8. Let’s check it • In MongoDB we find documents rather than SELECTing them... • db.test.find() • this is the equivalent of SELECT * FROM test; • it will return the document we previously inserted
- 9. Updates • Let’s update the document to say from Russell • db.test.update(<documents which match>, <set to x>) • db.test.update({hello: ‘world’}, {hello: ‘from Russell’})
- 10. Delete? • db.test.remove(<where documents match>) • Lets remove the last document • db.test.remove({hello: ‘from Russell’})
- 11. Drop • If you no longer want an entire collection, you can drop it which removes all the data and indexes; • db.test.drop()
- 12. Indexes • For performance it’s usually a good idea to index your collections. • How and which columns depends on what queries you are doing - you can get help with this by using ‘explain’ much like in MySQL. • db.test.ensureIndex({hello:1})
- 13. Further reading • I’ve only brushed on the details, but this should be enough to get you interested / started with MongoDB. Some of the missing stuff; • Updates can also push, set, increment, decrement, etc - http://bit.ly/ gEfKOr • Indexes can be across multiple keys, 2D (geo) and asc / desc - http:// bit.ly/hpK68Q • SQL -> Mongo chart - http://bit.ly/ig1Yfj