Webinar: MongoDB for Content Management
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This document discusses using MongoDB for content management systems. It provides an overview of sample CMS applications and considerations for schema design in MongoDB. It also covers querying and indexing data, replication for high availability, and scaling MongoDB horizontally for large datasets. Specific topics covered include embedding documents, indexing tags and slugs, building custom RSS feeds, and reading from secondary nodes.
![Sample MongoDB Schema
{
_id: 375,
headline: ”Apple Reports Second Quarter Earnings",
date: ISODate("2012-07-14T01:00:00+01:00"),
slug: “apple-reports-second-quarter-earnings”,
byline: {
author: “Jason Zucchetto”,
title: “Lead Business Editor”
},
copy: “Apple reported second quarter revenue today…”,
tags: [
”AAPL",
”Earnings”
],
Comments: [
{ name: “Frank”, comment: “Great story!”}
]
}](https://image.slidesharecdn.com/12-5mongodbforcontentmanagement-121206153940-phpapp01/85/Webinar-MongoDB-for-Content-Management-12-320.jpg)
![Adding Fields Based on
Story
{
_id: 375,
headline: ”Apple Reports Second Quarter Earnings",
date: ISODate("2012-07-14T01:00:00+01:00"),
slug: “apple-reports-second-quarter-earnings”,
byline: {
author: “Jason Zucchetto”,
title: “Lead Business Editor”
},
copy: “Apple reported second quarter revenue today…”,
tags: [
”AAPL",
”Earnings”
],
image: “/images/aapl/tim-cook.jpg”,
ticker: “AAPL”
}](https://image.slidesharecdn.com/12-5mongodbforcontentmanagement-121206153940-phpapp01/85/Webinar-MongoDB-for-Content-Management-13-320.jpg)
![High Comment Volume
{
_id: 375,
headline: ”Apple Reports Second Quarter Earnings",
date: ISODate("2012-07-14T01:00:00+01:00"),
slug: “apple-reports-second-quarter-earnings”,
…
copy: “Apple reported second quarter revenue today…”,
tags: [
”AAPL",
”Earnings”
],
Last25Comments: [
{ name: “Frank”, comment: “Great story!”},
{ name: “John”, comment: “This is interesting”}
…
]
}](https://image.slidesharecdn.com/12-5mongodbforcontentmanagement-121206153940-phpapp01/85/Webinar-MongoDB-for-Content-Management-14-320.jpg)
![Managing Related Stories
{
_id: 375,
headline: ”Apple Reports Second Quarter Earnings",
date: ISODate("2012-07-14T01:00:00+01:00"),
slug: “apple-reports-second-quarter-earnings”,
…
RelatedStories: [
{
headline: “Google Reports on Revenue”,
date: ISODate("2012-07-15T01:00:00+01:00"),
slug: “goog-revenue-third-quarter”
}, {
headline: “Yahoo Reports on Revenue”,
date: ISODate("2012-07-15T01:00:00+01:00"),
slug: “yhoo-revenue-third-quarter”
}
]
}](https://image.slidesharecdn.com/12-5mongodbforcontentmanagement-121206153940-phpapp01/85/Webinar-MongoDB-for-Content-Management-15-320.jpg)
![Full Sample Schema
{ // Story Collection (sample document)
_id: 375,
headline: ”Apple Reports Second Quarter Earnings",
date: ISODate("2012-07-14T01:00:00+01:00"),
slug: “apple-reports-second-quarter-earnings”,
byline: {
author: “Jason Zucchetto”,
title: “Lead Business Editor”
},
copy: “Apple reported second quarter revenue today…”,
tags: [
”AAPL",
”Earnings”
],
Last25Comments: [
{ name: “Frank”, comment: “Great story!”},
{ name: “John”, comment: “This is interesting”}
]](https://image.slidesharecdn.com/12-5mongodbforcontentmanagement-121206153940-phpapp01/85/Webinar-MongoDB-for-Content-Management-16-320.jpg)
![Full Sample Schema (Contd.)
image: “/images/aapl/tim-cook.jpg”,
ticker: “AAPL”,
RelatedStories: [
{
headline: “Google Reports on Revenue”,
date: ISODate("2012-07-15T01:00:00+01:00"),
slug: “goog-revenue-third-quarter”
}, {
headline: “Yahoo Reports on Revenue”,
date: ISODate("2012-07-15T01:00:00+01:00"),
slug: “yhoo-revenue-third-quarter”
}
]
}
{ // Comment collection (sample document)
_id: 1891, storyid: 375, name: “Frank”, comment: “Great story!”
}](https://image.slidesharecdn.com/12-5mongodbforcontentmanagement-121206153940-phpapp01/85/Webinar-MongoDB-for-Content-Management-17-320.jpg)
![Query Tags and Sort by Date
// Very simple to gather specific information for a feed
db.cms.find( { tags: { $in : [“Earnings”, “AAPL”] } }).sort(
{ date : -1 });](https://image.slidesharecdn.com/12-5mongodbforcontentmanagement-121206153940-phpapp01/85/Webinar-MongoDB-for-Content-Management-23-320.jpg)
![[MongoDB.local Bengaluru 2018] Jumpstart: Introduction to Schema Design](https://cdn.slidesharecdn.com/ss_thumbnails/0800-jumpstartschemadesign-saurabh-180425155648-thumbnail.jpg?width=560&fit=bounds)
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Webinar: MongoDB for Content Management
- 1. https://twitter.com/mongodb MongoDB for Content Management Bryan Reinero Consulting Engineer, 10gen
- 2. Agenda • Sample Content Management System (CMS) Application • Schema Design Considerations • Viewing the Final Product • Building Feeds and Querying Data • Replication, Failover, and Scaling • Further Resources
- 4. CMS Application Overview • Business news service • Hundreds of stories per day • Millions of website visitors per month • Comments • Related stories • Tags
- 5. Viewing Stories (Web Site) Headline Date, Byline Tags Copy Related Stories Comments
- 6. Viewing Categories/Tags (Web Site) Headline Date, Byline Lead Text Headline Date, Byline Lead Text
- 7. Sample Article Headline Byline, Date, Comments Copy Image Related Stories
- 9. Sample Relational DB Structure story author tag comment id id id Id headline first_name name storyid copy last_name … name authorid title Email slug … comment_text … … related_story link_story_tag id Id storyid storyid related_storyid tagid … …
- 10. Sample Relational DB Structure • Number of queries per page load? • Caching layers add complexity • Tables may grow to millions of rows • Joins will become slower over time as db increases in size • Schema changes • Scaling database to handle more reads
- 11. MongoDB Schema Design • “Schemaless”, however, schema design is important • JSON documents • Design for the use case and work backwards • Do not use a relational model in MongoDB • No joins or transactions, most related information should be contained in the same document • Atomic updates on documents, equivalent of transaction
- 12. Sample MongoDB Schema { _id: 375, headline: ”Apple Reports Second Quarter Earnings", date: ISODate("2012-07-14T01:00:00+01:00"), slug: “apple-reports-second-quarter-earnings”, byline: { author: “Jason Zucchetto”, title: “Lead Business Editor” }, copy: “Apple reported second quarter revenue today…”, tags: [ ”AAPL", ”Earnings” ], Comments: [ { name: “Frank”, comment: “Great story!”} ] }
- 13. Adding Fields Based on Story { _id: 375, headline: ”Apple Reports Second Quarter Earnings", date: ISODate("2012-07-14T01:00:00+01:00"), slug: “apple-reports-second-quarter-earnings”, byline: { author: “Jason Zucchetto”, title: “Lead Business Editor” }, copy: “Apple reported second quarter revenue today…”, tags: [ ”AAPL", ”Earnings” ], image: “/images/aapl/tim-cook.jpg”, ticker: “AAPL” }
- 14. High Comment Volume { _id: 375, headline: ”Apple Reports Second Quarter Earnings", date: ISODate("2012-07-14T01:00:00+01:00"), slug: “apple-reports-second-quarter-earnings”, … copy: “Apple reported second quarter revenue today…”, tags: [ ”AAPL", ”Earnings” ], Last25Comments: [ { name: “Frank”, comment: “Great story!”}, { name: “John”, comment: “This is interesting”} … ] }
- 15. Managing Related Stories { _id: 375, headline: ”Apple Reports Second Quarter Earnings", date: ISODate("2012-07-14T01:00:00+01:00"), slug: “apple-reports-second-quarter-earnings”, … RelatedStories: [ { headline: “Google Reports on Revenue”, date: ISODate("2012-07-15T01:00:00+01:00"), slug: “goog-revenue-third-quarter” }, { headline: “Yahoo Reports on Revenue”, date: ISODate("2012-07-15T01:00:00+01:00"), slug: “yhoo-revenue-third-quarter” } ] }
- 16. Full Sample Schema { // Story Collection (sample document) _id: 375, headline: ”Apple Reports Second Quarter Earnings", date: ISODate("2012-07-14T01:00:00+01:00"), slug: “apple-reports-second-quarter-earnings”, byline: { author: “Jason Zucchetto”, title: “Lead Business Editor” }, copy: “Apple reported second quarter revenue today…”, tags: [ ”AAPL", ”Earnings” ], Last25Comments: [ { name: “Frank”, comment: “Great story!”}, { name: “John”, comment: “This is interesting”} ]
- 17. Full Sample Schema (Contd.) image: “/images/aapl/tim-cook.jpg”, ticker: “AAPL”, RelatedStories: [ { headline: “Google Reports on Revenue”, date: ISODate("2012-07-15T01:00:00+01:00"), slug: “goog-revenue-third-quarter” }, { headline: “Yahoo Reports on Revenue”, date: ISODate("2012-07-15T01:00:00+01:00"), slug: “yhoo-revenue-third-quarter” } ] } { // Comment collection (sample document) _id: 1891, storyid: 375, name: “Frank”, comment: “Great story!” }
- 19. Inserting and Updating Stories // Inserting new stories are easy, just submit JSON document db.cms.insert( { headline: “Apple Reports Revenue”... }); // Adding story tags db.cms.update( { _id : 375 }, { $addToSet : { tags : "AAPL" } } ) // Adding a comment (if embedding comments in story) db.cms.update( { _id : 375 }, { $addToSet : { comments: { name: „Jason‟, „comment: „Great Story‟} } } )
- 20. MongoDB Indexes for CMS // Index on story slug db.cms.ensureIndex( { slug : 1 }); // Index on story tags db.cms.ensureIndex( { tags: 1 });
- 21. Querying MongoDB // All Story information db.cms.find( { slug : “apple-reports-second-quarter-earnings” }); // All Stories for a given tag db.cms.find( { tags: “Earnings” });
- 23. Query Tags and Sort by Date // Very simple to gather specific information for a feed db.cms.find( { tags: { $in : [“Earnings”, “AAPL”] } }).sort( { date : -1 });
- 25. Replication • Extremely easy to set up • Replica node can trail primary node and maintain a copy of the primary database • Useful for disaster recovery, failover, backups, and specific workloads such as analytics • When Primary goes down, a Secondary will automatically become the new Primary
- 26. Replication
- 27. Reading from Secondaries (Delayed Consistency) Reading from Secondaries (Delayed Consistency)
- 28. Scaling Horizontally • Important to keep working data set in RAM • When working data set exceeds RAM, easy to add additional machines and segment data across machines (sharding)
- 30. Additional Resources • Use Case Tutorials: http://docs.mongodb.org/manual/use-cases/ • What others are doing: http://www.10gen.com/use-case/content- management • This presentation & video recording: https://www.10gen.com/presentations/webinar