Meetup#1: 10 reasons to fall in love with MongoDB
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This document discusses 10 reasons to use MongoDB, an open source, cross-platform document-oriented database. It notes that MongoDB is fast, scalable, schema-free, supports rich queries and full indexing. It also supports features like atomic modifiers, replication, auto-sharding, and is easy to try out with small binaries and multi-language drivers. Commercial support is also available.
![3. Schema-free
{ ObjectId
_id: ObjectId("4B980A6DEA2C3F4579DA141E"),
user_id: ObjectId("4B980A6DEA2C3F4579DA4F54"), Link to user
shipping_address: {
street: "3333 Green Ave", Embedded
city: "Brooklyn", document
state: "NY"},
line_items: [
{sku: “rbk-423", name: “Case", price: 4000},
{sku: "spk-211", name: "Guitar", price: 9200}], Array
subtotal: 13200, Embedded
tax: 1100, documents
total: 14300
} Duplication](https://image.slidesharecdn.com/mongodb10reasons-120507102107-phpapp02/85/Meetup-1-10-reasons-to-fall-in-love-with-MongoDB-5-320.jpg)
![5. Full Index Support
Basic keys, Compound keys
Embedded fields, Arrays
Unique, Sparse, Background
Geospatial indexes (2d)
db.places.find({loc: {$near: [50,50],
$maxDistance: 5}}).limit(20)](https://image.slidesharecdn.com/mongodb10reasons-120507102107-phpapp02/85/Meetup-1-10-reasons-to-fall-in-love-with-MongoDB-7-320.jpg)
Meetup#1: 10 reasons to fall in love with MongoDB
- 1. 10 reasons to fall in love
- 2. Introduction NoSQL MongoDB - humongous Open source, 10gen Cross-platform: OS X, Linux, Windows, Solaris v1.0 – Aug 2009 v1.9.1 – Aug 2011 (odd – DEV version) v2.0.3 – Feb 2012
- 3. 1. Fast & powerful Focus on performance key/value Scalability and stores MongoDB performance RDBMS Depth of functionality
- 4. 2. Document-oriented { _id: <document identifier>, key: “value”, subDocument: {innerProp: null} } JSON/BSON, 16MB Basic types, arrays, embedded documents, ObjectId, other
- 5. 3. Schema-free { ObjectId _id: ObjectId("4B980A6DEA2C3F4579DA141E"), user_id: ObjectId("4B980A6DEA2C3F4579DA4F54"), Link to user shipping_address: { street: "3333 Green Ave", Embedded city: "Brooklyn", document state: "NY"}, line_items: [ {sku: “rbk-423", name: “Case", price: 4000}, {sku: "spk-211", name: "Guitar", price: 9200}], Array subtotal: 13200, Embedded tax: 1100, documents total: 14300 } Duplication
- 6. 4. Rich queries db.books.find({name: “MongoDB”}); {author: {$exists: true}, “info.price”: {$lt: 10}} $gt, $lt, $or, $not, $type, $exists, $in, $all, $elemMatch $where – JavaScript expression db.books.find().skip(50).limit(10).sort({name: 1})
- 7. 5. Full Index Support Basic keys, Compound keys Embedded fields, Arrays Unique, Sparse, Background Geospatial indexes (2d) db.places.find({loc: {$near: [50,50], $maxDistance: 5}}).limit(20)
- 8. 6. Useful features Atomic modifiers ($inc, $set, $push…) Upsert FindAndModify Capped collections MapReduce GridFS
- 9. 7. Replication Master-Slave Replica Set M M S M S S S S M M S M (Data Center Awareness)
- 10. 8. Auto-Sharding Horizontal scalability AL <= state < KA KA <= state < OH OK <= state <= WY mongod mongod mongod mongos client
- 11. 9. Easy to try ~50MB of binaries No installation required Multi-language support: C#, C, C++, Java, Perl, PHP, Python, Ruby Tools: MongoVUE, RockMongo http://try.mongodb.org
- 12. 10. Support Documentation http://www.mongodb.org Official MongoDB site http://groups.google.com/group/mongodb-user Google user group Commercial support MongoDB Monitoring Service (MMS)
- 13. Questions?