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MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
MongoDB at CodeMash 2.0.1.0
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MongoDB at CodeMash 2.0.1.0

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Presentation on MongoDB from CodeMash 2010 in Sandusky

Presentation on MongoDB from CodeMash 2010 in Sandusky

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  • Collection (logical groupings of documents)
    Indexes are per-collection
  • blog post
    twitter
  • Transcript

    • 1. open-source, high-performance, schema-free, document-oriented database
    • 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
    • 6. Data Models Key/Value Tabular Document-based
    • 7. Data Models Key/Value memcached, dynamo, voldemort Tabular bigtable, cassandra, hbase, hypertable Document-oriented mongodb, couchdb. JSON stores
    • 8. JSON-style documents
    • 9. Schema-free • Loosening constraints - added flexibility • Dynamically typed languages • Migrations
    • 10. Dynamic queries • Administration • Ease of development • Familiarity
    • 11. Focus on performance
    • 12. Replication
    • 13. Auto-sharding
    • 14. Many supported platforms / languages
    • 15. Good at • The web • Caching • High volume data • Scalability
    • 16. Less good at • Highly transactional • Ad-hoc business intelligence • Problems that require SQL
    • 17. MongoDB Basics
    • 18. Document • Unit of storage (think row) • BSON (Binary JSON) • Represented is language dependent
    • 19. Collection • Schema-free equivalent of a table • Logical groups of documents • Indexes are per-collection
    • 20. _id • Special key • Present in all documents • Unique across a Collection • Any type you want
    • 21. Blog back-end
    • 22. Post {author: “mike”, date: new Date(), text: “my blog post...”, tags: [“mongodb”, “codemash”]}
    • 23. Comment {author: “eliot”, date: new Date(), text: “great post!”}
    • 24. New post post = {author: “mike”, date: new Date(), text: “my blog post...”, tags: [“mongodb”, “codemash”]} db.posts.save(post)
    • 25. Embedding a comment c = {author: “eliot”, date: new Date(), text: “great post!”} db.posts.update({_id: post._id}, {$push: {comments: c}})
    • 26. Posts by author db.posts.find({author: “mike”})
    • 27. Last 10 posts db.posts.find() .sort({date: -1}) .limit(10)
    • 28. Posts in the last week last_week = new Date(2010, 0, 6) db.posts.find({date: {$gt: last_week}})
    • 29. Posts ending with ‘Mash’ db.posts.find({text: /Mash$/})
    • 30. Posts with a tag db.posts.find({tags: “mongodb”}) ... and fast db.posts.ensureIndex({tags: 1})
    • 31. Counting posts db.posts.count() db.posts.find({author: “mike”}).count()
    • 32. Basic paging page = 2 page_size = 15 db.posts.find().limit(page_size) .skip(page * page_size)
    • 33. 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)
    • 34. Advanced queries • $gt, $lt, $gte, $lte, $ne, $all, $in, $nin • where() db.posts.find({$where: “this.author == ‘mike’”})
    • 35. Other cool stuff • Aggregation and map reduce • Capped collections • Unique indexes • Mongo shell • GridFS
    • 36. • Download MongoDB http://www.mongodb.org • Try it out • Let us know what you think!
    • 37. • http://www.mongodb.org • irc.freenode.net#mongodb • mongodb-user on google groups • @mongodb, @mdirolf • mike@10gen.com • http://www.slideshare.net/mdirolf

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