![MongoDB Design Session
Blog Post Document
p
=
{author:
“roger”,
date:
new
Date(),
text:
“Spirited
Away”,
tags:
[“Tezuka”,
“Manga”]}
>db.posts.save(p)](https://image.slidesharecdn.com/mongodb-japan-101101040718-phpapp02/85/Mongo-db-japan-18-320.jpg)
![Query Posts Collection
>db.posts.find()
{ _id : ObjectId("4c4ba5c0672c685e5e8aabf3"),
author : "roger",
date : "Sat Jul 24 2010 19:47:11 GMT-0700 (PDT)",
text : "Spirited Away",
tags : [ "Tezuka", "Manga" ] }
Notes:
- _id is unique, but can be anything you’d like](https://image.slidesharecdn.com/mongodb-japan-101101040718-phpapp02/85/Mongo-db-japan-19-320.jpg)
![{ _id : ObjectId("4c4ba5c0672c685e5e8aabf3"),
author : "roger",
date : "Sat Jul 24 2010 19:47:11 GMT-0700 (PDT)",
text : "Spirited Away",
tags : [ "Tezuka", "Manga" ],
comments : [
{
author : "Fred",
date : "Sat Jul 24 2010 20:51:03 GMT-0700 (PDT)",
text : "Best Movie Ever"
}
]}](https://image.slidesharecdn.com/mongodb-japan-101101040718-phpapp02/85/Mongo-db-japan-25-320.jpg)
Mongo db japan
- 2. Baseball World Series Giants lead 3-1 over Rangers
- 3. What is MongoDB? quick introduction design session deploy mongodb scaling
- 4. MongoDB adoption is very strong 90,000 Database downloads per month
- 6. Platform and Language support MongoDB is Implemented in C++ for best performance Platforms 32/64 bit • Windows • Linux, Mac OS-X, FreeBSD, Solaris
- 7. Platform and Language support MongoDB is Implemented in C++ for best performance Platforms 32/64 bit • Windows • Linux, Mac OS-X, FreeBSD, Solaris Language drivers for • Ruby / Ruby-on-Rails • Java / C# / JavaScript • C / C++ • Erlang • Python, Perl • others... .. and much more ! ..
- 8. non-‐relational, next-‐generation operational datastores and databases NoSQL Really Means:
- 10. RDBMS (Oracle, MySQL) New Gen. OLAP (vertica, aster, greenplum)
- 11. RDBMS (Oracle, MySQL) New Gen. OLAP (vertica, aster, greenplum) Non-relational Operational Stores (“NoSQL”)
- 12. Philosophy: maximize features -‐ up to the “knee” in the curve, then stop depth of functionality scalability & performance • memcached • key/value • RDBMS
- 13. Horizontally Scalable Architectures no joins no complex transactions+
- 14. New Data Models no joins no complex transactions+
- 15. Improved ways to develop New Data Models -‐>
- 16. Terminology RDBMS MongoDB Table Collection Row(s) JSON Document Index Index Join Embedding & Linking Partition Shard Partition Key Shard Key
- 18. MongoDB Design Session Blog Post Document p = {author: “roger”, date: new Date(), text: “Spirited Away”, tags: [“Tezuka”, “Manga”]} >db.posts.save(p)
- 19. Query Posts Collection >db.posts.find() { _id : ObjectId("4c4ba5c0672c685e5e8aabf3"), author : "roger", date : "Sat Jul 24 2010 19:47:11 GMT-0700 (PDT)", text : "Spirited Away", tags : [ "Tezuka", "Manga" ] } Notes: - _id is unique, but can be anything you’d like
- 20. Create index on any Field in Document // 1 means ascending, -1 means descending >db.posts.ensureIndex({author: 1}) >db.posts.find({author: 'roger'}) { _id : ObjectId("4c4ba5c0672c685e5e8aabf3"), author : "roger", ... } Secondary Index
- 21. Query operators Conditional operators: $ne, $in, $nin, $mod, $all, $size, $exists, $type, .. $lt, $lte, $gt, $gte, $ne, ... // find posts with any tags >db.posts.find({tags: {$exists: true}})
- 22. Query operators Conditional operators: $ne, $in, $nin, $mod, $all, $size, $exists, $type, .. $lt, $lte, $gt, $gte, $ne, // find posts with any tags >db.posts.find({tags: {$exists: true}}) Regular expressions: // posts where author starts with r >db.posts.find({author: /^r*/i })
- 23. Query operators Conditional operators: $ne, $in, $nin, $mod, $all, $size, $exists, $type, .. $lt, $lte, $gt, $gte, $ne, // find posts with any tags >db.posts.find({tags: {$exists: true}}) Regular expressions: // posts where author starts with k >db.posts.find({author: /^k*/i }) Counting: // posts written by roger >db.posts.find({author: “roger”}).count()
- 24. Extending the Schema comment = {author: “fred”, date: new Date(), text: “Best Movie Ever”} update = { ‘$push’: {comments: comment}} >db.posts.update({_id: “...” }, update) Adding Comments to Blog
- 25. { _id : ObjectId("4c4ba5c0672c685e5e8aabf3"), author : "roger", date : "Sat Jul 24 2010 19:47:11 GMT-0700 (PDT)", text : "Spirited Away", tags : [ "Tezuka", "Manga" ], comments : [ { author : "Fred", date : "Sat Jul 24 2010 20:51:03 GMT-0700 (PDT)", text : "Best Movie Ever" } ]}
- 26. // create index on nested documents: >db.posts.ensureIndex({"comments.author": 1}) >db.posts.find({comments.author:”Fred”}) Secondary Index
- 28. Deploying MongoDB Primary Read / Write
- 29. Deploying MongoDB Primary Secondary Read / Write Replication
- 30. Setting Up MongoDB Primary Secondary Read / Write Secondary for Backup Replication Replication
- 31. Setting Up MongoDB Primary Secondary Read / Write Secondary for Backup Read Replication Replication
- 32. Setting Up MongoDB Primary Secondary Read / Write Secondary for Backup Read Replication Replication Replicaset
- 33. Read Scalability : Replication write read ReplicaSet 1 Primary Secondary Secondary
- 34. Write Scalability: Sharding write read ReplicaSet 1 Primary Secondary Secondary ReplicaSet 2 Primary Secondary Secondary ReplicaSet 3 Primary Secondary Secondary key range 0 .. 30 key range 31 .. 60 key range 61 .. 100
- 35. Monitoring • We like Munin .. • ... but other frameworks work as well • Primary function: • Measure stats over time • Tells you what is going on with your system
- 36. MongoDB makes building applications easy Designed a Blog Schema Evolved the Schema Deployed MongoDB Scale MongoDB
- 37. MongoDB makes building applications easy Map / Reduce Capped Collections Tail-able Cursors Geo Indexing .. and much more ! ..
- 38. @mongodb conferences, appearances, and meetups http://www.10gen.com/events http://bit.ly/mongoG Facebook | Twitter | LinkedIn http://linkd.in/joinmongo download at mongodb.org We’re Hiring ! [email protected]