The Spring Data MongoDB Project
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The document discusses MongoDB and Spring Data integration. It provides examples of creating, querying, and commenting on documents using Spring Data and MongoDB. It also covers topics like replication, sharding, and eventual consistency in MongoDB.
![What is a Comment?
{
title: “What is new in 2.2 MongoDB”,
date : new Date(),
author : “Fred”
text : “.......”
tags : [“mongodb”, “nosql”]
comments : [
{author : “chris”, text: “this is great” , date : new Date()},
{author : “tom”, text: “rock on”, date : new Date()}
]
}](https://image.slidesharecdn.com/mongodbspringone2gx-121018124126-phpapp02/85/The-Spring-Data-MongoDB-Project-17-320.jpg)
![What is a Comment?
{
title: “What is new in 2.2 MongoDB”,
....
comments : [
{author : “chris”, text: “this is great” , date : new Date()},
{author : “tom”, text: “rock on”, date : new Date()}
],
comments: count : 2
}](https://image.slidesharecdn.com/mongodbspringone2gx-121018124126-phpapp02/85/The-Spring-Data-MongoDB-Project-20-320.jpg)
The Spring Data MongoDB Project
- 1. MongoDB and Spring Data Chris Harris Twitter : cj_harris5 Email : [email protected] © 2012 SpringOne 2GX. All rights reserved. Do not distribute without permission.
- 2. About Me Solution Architect at 10gen (the company behind MongoDB) - Previous Roles: • EMEA Architect at SpringSource • EMEA Principal JBoss Consultant at RedHat 22
- 3. http://images.mirror.co.uk/upl/m4/mar2009/0/2/satnav-cliff-hanger-pic-ross-parry- image-3-213726463.jpg
- 6. Is there a better way?
- 7. Terminology RDBMS MongoDB Table Collection Row(s) JSON Document Index Index Join Embedding & Linking Partition Shard Partition Key Shard Key
- 8. As simple as possible, but no simpler Memcached Key / Value Scalability & Performance MongoDB RDBMS Depth of functionality
- 9. Lets build a Spring Data MongoDB App!
- 10. Welcome to Dev News • User Story 1: – As a user I should be able to create “News Articles”
- 11. What is a News Article? { title: “What is new in 2.2 MongoDB”, date : new Date(), author : “Fred” text : “.......” }
- 12. Example 1 - Create
- 13. Welcome to MongoDB News Dev • User Story 1: – As a user I should be able to create “News Articles” • User Story 2: – As a user I should be able to find a “News Articles” by Name
- 14. Example 2 - Query
- 15. Example 3 - Repo
- 16. Welcome to MongoDB News Dev • User Story 1: – As a user I should be able to create “News Articles” • User Story 2: – As a user I should be able to find a “News Articles” by Name • User Story 3: – As a user I should be able to comment on “News Articles”
- 17. What is a Comment? { title: “What is new in 2.2 MongoDB”, date : new Date(), author : “Fred” text : “.......” tags : [“mongodb”, “nosql”] comments : [ {author : “chris”, text: “this is great” , date : new Date()}, {author : “tom”, text: “rock on”, date : new Date()} ] }
- 18. Example 4 - Comments
- 19. Welcome to MongoDB News Dev • User Story 1: – As a user I should be able to create “News Articles” • User Story 2: – As a user I should be able to find a “News Articles” by Name • User Story 3: – As a user I should be able to comment on “News Articles” • User Story 4: –As a user I want to know how many comments are on a “Articles”
- 20. What is a Comment? { title: “What is new in 2.2 MongoDB”, .... comments : [ {author : “chris”, text: “this is great” , date : new Date()}, {author : “tom”, text: “rock on”, date : new Date()} ], comments: count : 2 }
- 21. Example 5 - Inc
- 22. “MongoDB lost my data!!”
- 24. Least durability - Don't use! Driver MongoDB write apply in memory
- 25. Wait for Journal Sync - Same as RDBMS Driver MongoDB write apply in memory j:true Write to journal
- 26. Replication http://www.flickr.com/photos/10335017@N07/4570943043
- 27. Replica Set • Data Protection • Multiple copies of the data • Spread across Data Centers, AZs • High Availability • Automated Failover • Automated Recovery
- 28. Replica Sets Write Primary Asynchronous Replication Read Java App Secondary Secondary
- 29. Replica Sets Write Primary Read Java App Secondary Secondary
- 30. Replica Sets Primary Write Automatic Election of new Java App Primary Primary Read Secondary
- 31. Replica Sets Recovering Write New primary serves data Java App Primary Read Secondary
- 32. Replica Sets Secondary Write Java App Primary Read Secondary
- 33. Durability Summary Other Data Memory Journal Secondary Center RDBMS Default "Fire & Forget" w=1 w=1 j=true w="majority" w=n w="myTag" Less More
- 34. Example 6 - Write Concern
- 35. Eventual Consistency • http://www.flickr.com/photos/26095468@N04/3779692985
- 36. Understanding Eventual Consistency Thread #1 Primary Secondary Insert v1
- 37. Understanding Eventual Consistency Thread #1 Primary Secondary Insert v1 v1
- 38. Understanding Eventual Consistency Thread #1 Primary Secondary Insert v1 Read v1
- 39. Understanding Eventual Consistency Thread #1 Primary Secondary Insert v1 reads v1 Read v1
- 40. Understanding Eventual Consistency Thread #1 Primary Secondary Insert v1 reads v1 Read v1 Update v2
- 41. Understanding Eventual Consistency Thread #1 Primary Secondary Insert v1 reads v1 Read v1 Update v2 v2
- 42. Understanding Eventual Consistency Thread #1 Primary Secondary Insert v1 reads v1 Read v1 Update v2 Read v2
- 43. Understanding Eventual Consistency Thread #1 Primary Secondary Insert v1 reads v1 Read v1 Update v2 reads v2 Read v2
- 44. Understanding Eventual Consistency Thread #1 Primary Secondary Thread #2 Insert v1 Read v1 Update v2 Read v2
- 45. Understanding Eventual Consistency Thread #1 Primary Secondary Thread #2 Insert v1 Read v1 Update v2 Read v2
- 46. Understanding Eventual Consistency Thread #1 Primary Secondary Thread #2 Insert v1 v1 does not exist on Read Secondary v1 Update v2 Read v2
- 47. Understanding Eventual Consistency Thread #1 Primary Secondary Thread #2 Insert v1 v1 does not exist on Read Secondary v1 Update v2 Reads v1 but Primary at v2 Read v2 Read v2
- 48. Example 7 - Eventual Consistency
- 51. MongoDB Sharding • Automatic partitioning and management • Range based • Convert to sharded system with no downtime • Fully consistent
- 52. How mongoDB Sharding works > db.runCommand({addshard: "shard1"}); > db.runCommand({shardCollection: "mydb.users", key: {age: 1}}) -∞ +∞ • Range keys from -∞ to +∞ • Ranges are stored as "chunks"
- 53. How mongoDB Sharding works > db.users.save({age: 40}) -∞ +∞ -∞ 40 41 +∞ • Data in inserted • Ranges are split into more "chunks"
- 54. How mongoDB Sharding works > db.users.save({age: 40}) > db.users.save({age: 50}) > db.users.save({age: 60}) -∞ +∞ -∞ 40 41 +∞ 41 50 51 +∞ 51 60 61 +∞
- 55. How mongoDB Sharding works > db.runCommand({addshard: "shard2"}); > db.runCommand({addshard: "shard3"}); -∞ 40 41 50 51 60 61 +∞
- 56. How mongoDB Sharding works > db.runCommand({addshard: "shard2"}); > db.runCommand({addshard: "shard3"}); shard1 -∞ 40 41 50 51 60 61 +∞
- 57. How mongoDB Sharding works > db.runCommand({addshard: "shard2"}); > db.runCommand({addshard: "shard3"}); shard1 shard2 shard3 -∞ 40 41 50 51 60 61 +∞
- 58. Architecture app app Config Servers mongos mongos C1 C2 C3 Replica Set mongod mongod mongod mongod mongod mongod mongod mongod mongod mongod mongod mongod Shard 1 Shard 2 Shard 3 Shard 4
- 59. Balancing mongos config mongos balancer config config Data inserted Imbalance all in a range 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Shard 1 Shard 2 Shard 3 Shard 4
- 60. Balancing mongos config mongos balancer config config Move chunk 1 to Shard 2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Shard 1 Shard 2 Shard 3 Shard 4
- 61. Balancing mongos config balancer config config 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Shard 1 Shard 2 Shard 3 Shard 4
- 62. Balancing mongos config balancer config config 2 3 4 5 6 7 8 1 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Shard 1 Shard 2 Shard 3 Shard 4
- 63. Balancing mongos config mongos balancer config config 2 3 4 5 6 7 8 1 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Shard 1 Shard 2 Shard 3 Shard 4
- 64. Example 8 - Sharding
- 65. Questions • MongoDB 2.2 – Improved concurrency – Tag-aware sharding – Aggregation framework – TTL collections • Free online MongoDB training – Develop – Deploy – Classes start Oct. 2012
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