![Flexible “Schemas”{“author”: “eliot”, “text”: “...”,“tags”: [“mongodb”]}{“author”: “mike”, “text”: “...”}](https://image.slidesharecdn.com/introtomongodbmongoukjun2010-100716021630-phpapp02/85/Intro-to-mongodb-mongouk-jun2010-11-320.jpg)
![Post{author: “mike”, date: new Date(), text: “my blog post...”, tags: [“mongodb”, “intro”]}](https://image.slidesharecdn.com/introtomongodbmongoukjun2010-100716021630-phpapp02/85/Intro-to-mongodb-mongouk-jun2010-22-320.jpg)
![New Postpost = {author: “mike”, date: new Date(), text: “my blog post...”, tags: [“mongodb”, “intro”]}db.posts.insert(post)](https://image.slidesharecdn.com/introtomongodbmongoukjun2010-100716021630-phpapp02/85/Intro-to-mongodb-mongouk-jun2010-24-320.jpg)
![Migration: Adding Titles(just start adding them)post = {author: “mike”, date: new Date(), text: “another blog post...”, tags: [“mongodb”], title: “MongoDB for Fun and Profit”}post_id = db.posts.save(post)](https://image.slidesharecdn.com/introtomongodbmongoukjun2010-100716021630-phpapp02/85/Intro-to-mongodb-mongouk-jun2010-35-320.jpg)
![Flexible “Schemas”{“author”: “eliot”, “text”: “...”,“tags”: [“mongodb”]}{“author”: “mike”, “text”: “...”}](https://image.slidesharecdn.com/introtomongodbmongoukjun2010-100716021630-phpapp02/75/Intro-to-mongodb-mongouk-jun2010-11-2048.jpg)
![Post{author: “mike”, date: new Date(), text: “my blog post...”, tags: [“mongodb”, “intro”]}](https://image.slidesharecdn.com/introtomongodbmongoukjun2010-100716021630-phpapp02/75/Intro-to-mongodb-mongouk-jun2010-22-2048.jpg)
![New Postpost = {author: “mike”, date: new Date(), text: “my blog post...”, tags: [“mongodb”, “intro”]}db.posts.insert(post)](https://image.slidesharecdn.com/introtomongodbmongoukjun2010-100716021630-phpapp02/75/Intro-to-mongodb-mongouk-jun2010-24-2048.jpg)
![Migration: Adding Titles(just start adding them)post = {author: “mike”, date: new Date(), text: “another blog post...”, tags: [“mongodb”], title: “MongoDB for Fun and Profit”}post_id = db.posts.save(post)](https://image.slidesharecdn.com/introtomongodbmongoukjun2010-100716021630-phpapp02/75/Intro-to-mongodb-mongouk-jun2010-35-2048.jpg)
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Intro to mongodb mongouk jun2010
This document introduces MongoDB, a non-relational database that uses flexible, JSON-like documents with dynamic queries and indexing. MongoDB is horizontally scalable, supports replication and auto-sharding. It is suitable for caching, the web, and high-volume applications, but less suitable for highly transactional or offline business intelligence workloads. The document provides examples of basic CRUD operations and queries in MongoDB.
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Intro to mongodb mongouk jun2010
- 1. Twitter: #mongoukIntroto MongoDBMongoUKDwight Merriman, 10gen
- 2. Non-relationalOperational Stores(“NoSQL”)RDBMS(Oracle, MySQL)NewGen. OLAP(vertica, aster, greenplum)
- 3. NoSQL Really Means:non-relational,next-generation operational datastores and databases
- 4. no joins+no complextransactionsHorizontally ScalableArchitectures
- 5. no joins+no complextransactionsNew Data Models
- 6. New Data Modelsimprovedways to develop applications?
- 7. Data ModelsKey /Valuememcached, DynamoTabularBigTableDocument OrientedMongoDB, CouchDB, JSON stores
- 8.
- 9. key/valuescalability & performanceRDBMSdepthof functionality
- 10. JSON-style Documentsrepresented asBSON{“hello”:“world”}\x16\x00\x00\x00\x02hello\x00\x06\x00\x00\x00world\x00\x00http://bsonspec.org
- 11. Flexible “Schemas”{“author”: “eliot”,“text”: “...”,“tags”: [“mongodb”]}{“author”: “mike”, “text”: “...”}
- 12.
- 13.
- 14.
- 15. ReplicationReplica sets (v1.6,july)Master / slave (v1.0)m1m3masterm2slaveslaveslave
- 16.
- 17. Many Supported Platforms/ Languages
- 18. Best Use CasesScalingOutCachingThe WebHigh Volume
- 19. Less Good Athighlytransactionalad-hoc /offline business intelligenceproblems that require SQL
- 20. A Quick Aside_idspecialkeypresent in all documentsunique across a Collectionany type you want
- 21. The Administrative Shell(mongo)Examples to follow are in Javascript syntax, but can be done in any language.
- 22. Post{author: “mike”, date:new Date(), text: “my blog post...”, tags: [“mongodb”, “intro”]}
- 23. Comment{author: “eliot”, date:new Date(), text: “great post!”}
- 24. New Postpost ={author: “mike”, date: new Date(), text: “my blog post...”, tags: [“mongodb”, “intro”]}db.posts.insert(post)
- 25. Embedding a Commentc= {author: “eliot”, date: new Date(), text: “great post!”}db.posts.update({_id: post._id}, {$push: {comments: c}})
- 26. Embedding a Commentc= {author: “eliot”, date: new Date(), text: “great post!”}db.posts.update({_id: post._id}, {$push: {comments: c}})Atomic
- 27. Posts by Authordb.posts.find({author:“mike”})Note: queries are JSON!
- 28. Last 10 Postsdb.posts.find() .sort({date: -1}) .limit(10)
- 29. Posts Since April1last_week = new Date(2010, 3, 1)db.posts.find({date: {$gt: last_week}})
- 30. Posts Ending With‘Tech’db.posts.find({text: /Tech$/})
- 31. Posts With aTagdb.posts.find({tags: “mongodb”})...and Fast(multi-key indexes)db.posts.ensureIndex({tags: 1})
- 32. Indexing / Queryingon Embedded Docs(dot notation)db.posts.ensureIndex({“comments.author”: 1})db.posts.find({“comments.author”: “eliot”})
- 33.
- 34. Basic Pagingpage =2page_size = 15db.posts.find().limit(page_size) .skip(page * page_size)
- 35. Migration: Adding Titles(juststart adding them)post = {author: “mike”, date: new Date(), text: “another blog post...”, tags: [“mongodb”], title: “MongoDB for Fun and Profit”}post_id = db.posts.save(post)
- 36. Advanced Queries$gt, $lt,$gte, $lte, $ne, $all, $in, $nin, $ordb.posts.find({$where: “this.author == ‘mike’ || this.title == ‘foo’”})
- 37. Other Cool Stuffaggregationand map/reducecapped collectionsunique indexesGridFSgeospatial indexes
- 38. Download MongoDBhttp://www.mongodb.org10gen offersadvisory consulting services and training for new projects using MongoDB – schema design, architecture advice, performance tuning…Thanksdwight@10gen.com@dmerrdmerr.tumblr.com