javascript for your data

MongoDB Bridge the gap between key/val stores and traditional RDBMS

MongoDB Bridge the gap between key/val stores and traditional RDBMS

MongoDB the gap table

MongoDB the gap table → collection

MongoDB collection

MongoDB collection BSON document

MongoDB collection BSON document a set of fields

MongoDB collection BSON document a set of fields key-value pair

MongoDB collection BSON document a set of fields key-value pair key: a name (string)

MongoDB collection BSON document a set of fields key-value pair key: a name (string) val: any basic type string, int, float, date, binary, array, document, ...

MongoDB collection of BSON documents queryable

MongoDB the gap table → collection SQL

MongoDB the gap table → collection SQL → query objects

MongoDB Query object

MongoDB Query object JSON-like query representation

MongoDB Query object JSON-like query representation db.users.find({ 'lastname': 'Heckmann' });

MongoDB Query object { 'lastname': 'Heckmann' }

MongoDB Query object { 'lastname': 'Heckmann' } could even be an array

MongoDB Query object { 'lastname': 'Heckmann' , 'body.odor': 'nasty' , 'age': { $gt: 32 } , ... }

MongoDB Query object { 'lastname': 'Heckmann' , 'body.odor': 'nasty' , 'age': { $gt: 32 } , ... }

MongoDB Query object { 'lastname': 'Heckmann' , 'body.odor': 'nasty' , 'age': { $gt: 32 } , ... }

MongoDB Query object { 'lastname': 'Heckmann' , 'body.odor': 'nasty' , 'age': { $gt: 32, $lt: 65 } , ... }

Query object MongoDB $gt $lt $ne $in $nin $all $not $size $exists … more

MongoDB Query object RegExp too!

MongoDB Query object RegExp too db.users.find({ 'lastname': /eckmann$/i });

MongoDB Query object Subsets db.users.find({ 'lastname': /eckmann$/i }, { 'age': true });

MongoDB Query object db.users .find({ 'lastname': /eckmann$/i }) .sort({ 'lastname': -1 }) .limit(10) .skip(10*(pageNumber - 1)) ;

MongoDB Query object db.users .find({ 'lastname': /eckmann$/i }) .sort({ 'lastname': -1 }) ← descending .limit(10) .skip(10*(pageNumber - 1)) ;

MongoDB Query object db.users .find({ 'lastname': /eckmann$/i }) .count() ;

MongoDB no JOINs

MongoDB no JOINs less normalization

MongoDB no JOINs less normalization embedded documents

MongoDB embedded documents

embedded documents MongoDB { name: 'aaron' , scores: [ { total: 93, class: ObjectID } , { total: 46, class: ObjectID } , { total: 20, class: ObjectID } ] }

embedded documents MongoDB { name: 'aaron' , scores: [ { total: 93, class: ObjectID } , { total: 46, class: ObjectID } , { total: 20, class: ObjectID } ] } think foreign keys

embedded documents MongoDB { name: 'aaron' , scores: [ { total: 93, class: ObjectID } , { total: 46, class: ObjectID } , { total: 20, class: ObjectID } ] } { _id: ObjectID , name: 'how to be a good neighbor' , teacher: 'mr rogers' }

MongoDB ObjectID unique identifier of a document each document has one auto inserted if missing

Insertion and Updation MongoDB Insertion and Updation

MongoDB

cheesy

Atomic Operations

MongoDB $set $unset $inc $push $pushAll $pop $pull $pullAll $addToSet Atomic Ops $set $unset $inc $push $pushAll $pop $pull $pullAll $addToSet $rename

MongoDB Indexing

MongoDB Indexing any property into embedded documents into arrays

MongoDB Indexing db.users.ensureIndex({ lastname: 1 }) db.users.ensureIndex({ 'body.odor': 1 }) db.users.ensureIndex({ 'body.odor': 1, age: 1 })

MongoDB HTTP Interface

MongoDB HTTP Interface http://localhost:28017/ http://localhost:28017/database/collection/?limit=5 http://localhost:28017/database/collection/?filter_key=value

MongoDB Document oriented Schema-less Rich queries Full index support Atomic operations MapReduce Auto-sharding / replication / GridFS

MongoDB Mongoose https://github.com/learnboost/mongoose/tree/1.0

Thank You http://www.mongodb.org https://github.com/mongodb https://github.com/learnboost/mongoose https://github.com/christkv/node-mongodb-native http://www.mongodb.org/display/DOCS/Production+Dep loyments https://github.com/aheckmann http://twitter.com/#!/aaronheckmann