MongoDB at CodeMash 2.0.1.0
Download as KEY, PDF6 likes4,805 views
MongoDB is a document-oriented, schema-free, high-performance NoSQL database. It uses dynamic queries on JSON-like documents with various data structures and scales horizontally. MongoDB is good for high-volume data, scalability, and the web. It is less suited for highly transactional or SQL-focused workloads. Documents are stored in collections and can be queried, updated, and indexed dynamically without rigid schemas.
![Post
{author: “mike”,
date: new Date(),
text: “my blog post...”,
tags: [“mongodb”, “codemash”]}](https://image.slidesharecdn.com/codemash-100115173221-phpapp01/85/MongoDB-at-CodeMash-2-0-1-0-23-320.jpg)
![New post
post = {author: “mike”,
date: new Date(),
text: “my blog post...”,
tags: [“mongodb”, “codemash”]}
db.posts.save(post)](https://image.slidesharecdn.com/codemash-100115173221-phpapp01/85/MongoDB-at-CodeMash-2-0-1-0-25-320.jpg)
![Migration: adding titles
• Easy - just start adding them:
post = {author: “mike”,
date: new Date(),
text: “another blog post...”,
tags: [“codemash”],
title: “Review from CodeMash”}
post_id = db.posts.save(post)](https://image.slidesharecdn.com/codemash-100115173221-phpapp01/85/MongoDB-at-CodeMash-2-0-1-0-34-320.jpg)
Ad
More Related Content
What's hot (20)
Viewers also liked (14)
Ad
Similar to MongoDB at CodeMash 2.0.1.0 (20)
Ad
Recently uploaded (20)
MongoDB at CodeMash 2.0.1.0
- 2. One-Size-Fits-All No Longer RDBMS (Oracle, MySQL) Non-relational New gen. OLAP (vertica, aster, greenplum) operational stores (“NoSQL”)
- 3. NoSQL really means: non-relational next generation operational datastores and databases
- 4. Scaling out no joins + light transactional semantics = horizontally scalable architectures
- 5. Data models no joins + light transactional semantics = horizontally scalable architectures important side effect : new data models = improved ways to develop applications
- 7. Data Models Key/Value memcached, dynamo, voldemort Tabular bigtable, cassandra, hbase, hypertable Document-oriented mongodb, couchdb. JSON stores
- 10. Schema-free • Loosening constraints - added flexibility • Dynamically typed languages • Migrations
- 11. Dynamic queries • Administration • Ease of development • Familiarity
- 13. Replication
- 14. Auto-sharding
- 15. Many supported platforms / languages
- 16. Good at • The web • Caching • High volume data • Scalability
- 17. Less good at • Highly transactional • Ad-hoc business intelligence • Problems that require SQL
- 18. MongoDB Basics
- 19. Document • Unit of storage (think row) • BSON (Binary JSON) • Represented is language dependent
- 20. Collection • Schema-free equivalent of a table • Logical groups of documents • Indexes are per-collection
- 21. _id • Special key • Present in all documents • Unique across a Collection • Any type you want
- 22. Blog back-end
- 23. Post {author: “mike”, date: new Date(), text: “my blog post...”, tags: [“mongodb”, “codemash”]}
- 24. Comment {author: “eliot”, date: new Date(), text: “great post!”}
- 25. New post post = {author: “mike”, date: new Date(), text: “my blog post...”, tags: [“mongodb”, “codemash”]} db.posts.save(post)
- 26. Embedding a comment c = {author: “eliot”, date: new Date(), text: “great post!”} db.posts.update({_id: post._id}, {$push: {comments: c}})
- 27. Posts by author db.posts.find({author: “mike”})
- 28. Last 10 posts db.posts.find() .sort({date: -1}) .limit(10)
- 29. Posts in the last week last_week = new Date(2010, 0, 6) db.posts.find({date: {$gt: last_week}})
- 30. Posts ending with ‘Mash’ db.posts.find({text: /Mash$/})
- 31. Posts with a tag db.posts.find({tags: “mongodb”}) ... and fast db.posts.ensureIndex({tags: 1})
- 33. Basic paging page = 2 page_size = 15 db.posts.find().limit(page_size) .skip(page * page_size)
- 34. Migration: adding titles • Easy - just start adding them: post = {author: “mike”, date: new Date(), text: “another blog post...”, tags: [“codemash”], title: “Review from CodeMash”} post_id = db.posts.save(post)
- 35. Advanced queries • $gt, $lt, $gte, $lte, $ne, $all, $in, $nin • where() db.posts.find({$where: “this.author == ‘mike’”})
- 36. Other cool stuff • Aggregation and map reduce • Capped collections • Unique indexes • Mongo shell • GridFS
- 37. • Download MongoDB http://www.mongodb.org • Try it out • Let us know what you think!
- 38. • http://www.mongodb.org • irc.freenode.net#mongodb • mongodb-user on google groups • @mongodb, @mdirolf • [email protected] • http://www.slideshare.net/mdirolf