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![Basic Concepts
Application Document
Oriented
High { author : “steve”,
date : new Date(),
text : “About MongoDB...”,
Performance tags : [“tech”, “database”]}
Fully
Consistent
Horizontally Scalable
Thursday, 25 October 12](https://image.slidesharecdn.com/2-mongodbfundamentals-121026111945-phpapp02/85/MongoDB-Fundamentals-5-320.jpg)
![Json
place1 = {
name : "10gen HQ",
address : "578 Broadway 7th Floor",
city : "New York",
zip : "10011",
tags : [ "business", "tech" ]
}
Thursday, 25 October 12](https://image.slidesharecdn.com/2-mongodbfundamentals-121026111945-phpapp02/85/MongoDB-Fundamentals-36-320.jpg)
![Schemas in MongoDB
Design documents that simply map to
your application
post = {author: "Hergé",
date: new Date(),
text: "Destination Moon",
tags: ["comic", "adventure"]}
> db.posts.save(post)
Thursday, 25 October 12](https://image.slidesharecdn.com/2-mongodbfundamentals-121026111945-phpapp02/85/MongoDB-Fundamentals-39-320.jpg)
![Embedding
> db.blogs.find( { author: "Hergé"} )
{ _id : ObjectId("4c4ba5c0672c685e5e8aabf3"),
author : "Hergé",
date : ISODate("2011-09-18T09:56:06.298Z"),
text : "Destination Moon",
tags : [ "comic", "adventure" ],
comments : [
! {
! ! author : "Kyle",
! ! date : ISODate("2011-09-19T09:56:06.298Z"),
! ! text : "great book"
! }
]
}
Thursday, 25 October 12](https://image.slidesharecdn.com/2-mongodbfundamentals-121026111945-phpapp02/85/MongoDB-Fundamentals-40-320.jpg)
![Basic Concepts
Application Document
Oriented
High { author : “steve”,
date : new Date(),
text : “About MongoDB...”,
Performance tags : [“tech”, “database”]}
Fully
Consistent
Horizontally Scalable
Thursday, 25 October 12](https://image.slidesharecdn.com/2-mongodbfundamentals-121026111945-phpapp02/75/MongoDB-Fundamentals-5-2048.jpg)
![Json
place1 = {
name : "10gen HQ",
address : "578 Broadway 7th Floor",
city : "New York",
zip : "10011",
tags : [ "business", "tech" ]
}
Thursday, 25 October 12](https://image.slidesharecdn.com/2-mongodbfundamentals-121026111945-phpapp02/75/MongoDB-Fundamentals-36-2048.jpg)
![Schemas in MongoDB
Design documents that simply map to
your application
post = {author: "Hergé",
date: new Date(),
text: "Destination Moon",
tags: ["comic", "adventure"]}
> db.posts.save(post)
Thursday, 25 October 12](https://image.slidesharecdn.com/2-mongodbfundamentals-121026111945-phpapp02/75/MongoDB-Fundamentals-39-2048.jpg)
![Embedding
> db.blogs.find( { author: "Hergé"} )
{ _id : ObjectId("4c4ba5c0672c685e5e8aabf3"),
author : "Hergé",
date : ISODate("2011-09-18T09:56:06.298Z"),
text : "Destination Moon",
tags : [ "comic", "adventure" ],
comments : [
! {
! ! author : "Kyle",
! ! date : ISODate("2011-09-19T09:56:06.298Z"),
! ! text : "great book"
! }
]
}
Thursday, 25 October 12](https://image.slidesharecdn.com/2-mongodbfundamentals-121026111945-phpapp02/75/MongoDB-Fundamentals-40-2048.jpg)
Uploaded byMongoDB
MongoDB Fundamentals
The document discusses MongoDB concepts including: - MongoDB uses a document-oriented data model with dynamic schemas and supports embedding and linking of related data. - Replication allows for high availability and data redundancy across multiple nodes. - Sharding provides horizontal scalability by distributing data across nodes in a cluster. - MongoDB supports both eventual and immediate consistency models.
In this document
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Introduction to MongoDB by Norberto Leite, Senior Solutions Architect.
An overview of topics: Replication, Scalability, Consistency, Durability, Flexibility.
Transition of data needs from initial states to more complex requirements.
Overview of document-oriented database with key features of performance, consistency, and scalability.
Tradeoff between scalability and functionality in various database technologies.
Replication necessity for failover, backups, batch jobs, and high availability.
Functionality of replica sets including data protection, high availability, and automated failover.
Introduction to scalability in systems.
Discussion of horizontal scalability in MongoDB.
Details of sharding for data distribution across nodes, auto-balancing, and query routing.
Caching strategies in sharding for managing data efficiently.
Introduction to concepts of consistency and durability in data handling.
Comparison of eventual and immediate consistency models with examples.
Factors determining data durability in MongoDB and associated strategies.
Discussion on the flexibility of data models in MongoDB.
Benefits of using JSON for data representation and its compatibility with object-oriented languages.
Differences in schema design between relational databases and MongoDB including embedding.
Example of using embedding in MongoDB to structure data.
Advantages of JSON for scalability and distribution without performance penalties.
Resources for further information, support, and community engagement with MongoDB.
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MongoDB Fundamentals
- 1. MongoDB Basic Concepts Norberto Leite Senior Solutions Architect, EMEA norberto@10gen.com @nleite Thursday, 25 October 12
- 2. Agenda •Overview •Replication •Scalability •Consistency & Durability •Flexibility, Developer Experienc Thursday, 25 October 12
- 3. Your data needsstarted here... http://bit.ly/OT71M4 Thursday, 25 October 12
- 4. ...but soon youhad to be here http://bit.ly/Oxcsis Thursday, 25 October 12
- 5. Basic Concepts Application Document Oriented High { author : “steve”, date : new Date(), text : “About MongoDB...”, Performance tags : [“tech”, “database”]} Fully Consistent Horizontally Scalable Thursday, 25 October 12
- 6. Tradeoff: Scale vsFunctionality • memcached scalability & performance •key/value • RDBMS depth of functionality Thursday, 25 October 12
- 7.
- 8. Why do weneed replication •Failover •Backups •Secondary batch jobs •High availability Thursday, 25 October 12
- 9. Replica Sets Data Availability across nodes • Data Protection • Multiple copies of the data • Spread across Data Centers, AZs • High Availability • Automated Failover • Automated Recovery Thursday, 25 October 12
- 10. Replica Sets App Write Primary Asynchronous Read Replication Secondary Read Secondary Read Thursday, 25 October 12
- 11. Replica Sets App Write Primary Read Secondary Read Secondary Read Thursday, 25 October 12
- 12. Replica Sets App Primary Write Primary Automatic Election of new Primary Read Secondary Read Thursday, 25 October 12
- 13. Replica Sets App Recovering Write New primary serves Primary data Read Secondary Read Thursday, 25 October 12
- 14. Replica Sets App Secondary Read Write Primary Read Secondary Read Thursday, 25 October 12
- 15.
- 16. Horizontal Scalability Thursday, 25October 12
- 17. Sharding Data Distribution across nodes • Data location transparent to your code • Data distribution is automatic • Data re-distribution is automatic • Aggregate system resources horizontally • No code changes Thursday, 25 October 12
- 18. Sharding - Rangedistribution sh.shardCollection("test.tweets", {_id: 1} , false) shard01 shard02 shard03 Thursday, 25 October 12
- 19. Sharding - Rangedistribution shard01 shard02 shard03 a-i j-r s-z Thursday, 25 October 12
- 20. Sharding - Splits shard01 shard02 shard03 a-i ja-jz s-z k-r Thursday, 25 October 12
- 21. Sharding - Splits shard01 shard02 shard03 a-i ja-ji s-z ji-js js-jw jz-r Thursday, 25 October 12
- 22. Sharding - AutoBalancing shard01 shard02 shard03 a-i ja-ji s-z ji-js js-jw js-jw jz-r jz-r Thursday, 25 October 12
- 23. Sharding - AutoBalancing shard01 shard02 shard03 a-i ja-ji n-z ji-js js-jw jz-r Thursday, 25 October 12
- 24. Sharding - RoutedQuery find({_id: "norberto"}) shard01 shard02 shard03 a-i ja-ji n-z ji-js js-jw jz-r Thursday, 25 October 12
- 25. Sharding - RoutedQuery find({_id: "norberto"}) shard01 shard02 shard03 a-i ja-ji n-z ji-js js-jw jz-r Thursday, 25 October 12
- 26. Sharding - ScatterGather find({email: "norberto@10gen.com"}) shard01 shard02 shard03 a-i ja-ji n-z ji-js js-jw jz-r Thursday, 25 October 12
- 27. Sharding - ScatterGather find({email: "norberto@10gen.com"}) shard01 shard02 shard03 a-i ja-ji n-z ji-js js-jw jz-r Thursday, 25 October 12
- 28. Sharding - Caching 96 GB Mem 3:1 Data/Mem shard01 a-i 300 GB Data j-r n-z 300 GB Thursday, 25 October 12
- 29. Aggregate Horizontal Resources 96 GB Mem 96 GB Mem 96 GB Mem 1:1 Data/Mem 1:1 Data/Mem 1:1 Data/Mem shard01 shard02 shard03 a-i j-r n-z 300 GB Data 100 GB 100 GB 100 GB Thursday, 25 October 12
- 30. Consistency & Durability Thursday,25 October 12
- 31. Two choices forconsistency •Eventual consistency •Allow updates when a system has been partitioned •Resolve conflicts later •Example: CouchDB, Cassandra •Immediate consistency •Limit the application of updates to a single master node for a given slice of data •Another node can take over after a failure is detected •Avoids the possibility of conflicts •Example: MongoDB Thursday, 25 October 12
- 32. Durability •For how long is my data available? •When do I now that my data is safe? •Where? •Mongodb style •Fire and Forget •Get Last Error •Journal Sync •Replica Safe Thursday, 25 October 12
- 33. Data Durability Thursday, 25October 12
- 34.
- 35. Data Model • Why JSON? • Provides a simple, well understood encapsulation of data • Maps simply to the object in your OO language • Linking & Embedding to describe relationships Thursday, 25 October 12
- 36. Json place1 = { name : "10gen HQ", address : "578 Broadway 7th Floor", city : "New York", zip : "10011", tags : [ "business", "tech" ] } Thursday, 25 October 12
- 37. Schema Design Relational Database Thursday, 25 October 12
- 38. Schema Design MongoDB embedding linking Thursday, 25 October 12
- 39. Schemas in MongoDB Design documents that simply map to your application post = {author: "Hergé", date: new Date(), text: "Destination Moon", tags: ["comic", "adventure"]} > db.posts.save(post) Thursday, 25 October 12
- 40. Embedding > db.blogs.find( { author: "Hergé"} ) { _id : ObjectId("4c4ba5c0672c685e5e8aabf3"), author : "Hergé", date : ISODate("2011-09-18T09:56:06.298Z"), text : "Destination Moon", tags : [ "comic", "adventure" ], comments : [ ! { ! ! author : "Kyle", ! ! date : ISODate("2011-09-19T09:56:06.298Z"), ! ! text : "great book" ! } ] } Thursday, 25 October 12
- 41. JSON & Scaleout • Embedding removes need for • Distributed Joins • Two Phase commit • Enables data to be distributed across many nodes without penalty Thursday, 25 October 12
- 42.
- 43.
- 44.
- 45.
- 46. download at mongodb.org! norberto@10gen.com Support, Training, Consulting, Events, Meetups http://www.10gen.com Facebook! Twitter! LinkedIn! http://bit.ly/mongofb! http://twitter.com/mongodb! http://linkd.in/joinmongo! Thursday, 25 October 12