The document discusses MongoDB, an open-source, high-performance, schema-free document-oriented database, emphasizing its flexibility and ease of development. It illustrates usage examples for creating and querying posts in a blog application while addressing its strengths in web applications and scalability, and its limitations in highly transactional environments. Additionally, it mentions advanced features like aggregation, sharding, and indexing, providing a hands-on guide to utilizing various functions within MongoDB.

1. open-source, high-performance,
schema-free, document-oriented
database

3. JSON-style documents

4. Schema-free
• Loosening constraints - added flexibility
• Dynamically typed languages
• Migrations

5. Dynamic queries
• Administration
• Ease of development
• Familiarity

6. Focus on performance

7. Replication

8. Auto-sharding

9. Many supported
platforms / languages

10. Good at
• The web
• Caching
• High volume data
• Scalability

11. Less good at
• Highly transactional
• Ad-hoc business intelligence
• Problems that require SQL

12. Quick example:
blog back-end

13. Post
{author: “mike”,
date: new Date(),
text: “my blog post...”,
tags: [“mongodb”, “dc”, “hadoop”]}

14. Comment
{author: “eliot”,
date: new Date(),
text: “great post!”}

15. New post
post = {author: “mike”,
date: new Date(),
text: “my blog post...”,
tags: [“mongodb”, “dc”, “hadoop”]}
db.posts.save(post)

16. Embedding a comment
c = {author: “eliot”,
date: new Date(),
text: “great post!”}
db.posts.update({_id: post._id},
{$push: {comments: c}})

17. Posts by author
db.posts.find({author: “mike”})

18. Last 10 posts
db.posts.find()
.sort({date: -1})
.limit(10)

19. Posts in the last week
last_week = new Date(2009, 9, 9)
db.posts.find({date: {$gt: last_week}})

20. Sharding

21. Terminology
• Shard key
• Chunk
• Range of the value space
• (collection, key, min_val, max_val)
• Shard
• Single node (or replica pair)
• Responsible for set of chunks

24. Other cool stuff
• Aggregation and map reduce
• Capped collections
• Unique indexes
• Mongo shell
• GridFS

25. • Download MongoDB
http://www.mongodb.org
• Try it out
• Let us know what you think

26. • http://www.mongodb.org
• irc.freenode.net#mongodb
• mongodb-user on google groups
• @mongodb, @mdirolf
• mike@10gen.com
• http://www.slideshare.net/mdirolf

27. Posts ending with
‘Hadoop’
db.posts.find({text: /hadoop$/})

28. Posts with a tag
db.posts.find({tag: “mongodb”})
... and fast
db.posts.ensureIndex({tag: 1})

29. Counting posts
db.posts.count()
db.posts.find({author: “mike”}).count()

30. Basic paging
page = 2
page_size = 15
db.posts.find().limit(page_size)
.skip(page * page_size)

31. Migration: adding titles
• Easy - just start adding them:
post = {author: “mike”,
date: new Date(),
text: “another blog post...”,
tags: [“meetup”, “hadoop”],
title: “Review from Hadoop DC”}
post_id = db.posts.save(post)

32. Advanced queries
• $gt, $lt, $gte, $lte, $ne, $all, $in, $nin
• where()
db.posts.find({$where: “this.author == ‘mike’”})