2012 mongo db_bangalore_roadmap_new
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This document summarizes MongoDB roadmaps and recent releases. It discusses features added in releases 2.2 and upcoming in 2.4, including concurrency improvements, the new aggregation framework, TTL collections, tag aware sharding, and read preferences. The document encourages participation in the MongoDB community through using the product, submitting feature requests, and joining local user groups.
![Example – For each "tag", list
the authors
{
title : "my tech blog" ,
author : "bob" ,
tags : [ "fun" , "good" , "tech" ] ,
}
{
title : "cool tech" ,
author : "jim" ,
tags : [ "awesome" , "tech" ] ,
}](https://image.slidesharecdn.com/2012mongodbbangaloreroadmapnew-121107122528-phpapp02/85/2012-mongo-db_bangalore_roadmap_new-7-320.jpg)
![Results
{
"result" : [
{
"_id" : {
"tags" : "tech"
},
"authors" : [
"jim",
"bob"
]
},](https://image.slidesharecdn.com/2012mongodbbangaloreroadmapnew-121107122528-phpapp02/85/2012-mongo-db_bangalore_roadmap_new-9-320.jpg)
2012 mongo db_bangalore_roadmap_new
- 1. #mongodbbangalore Roadmap Sridhar Nanjundeswaran, 10gen sridhar@10gen.com, @snanjund October 26, 2012
- 2. Recent Release History 1.8 2.0 2.2 2.4 March ‘11 Sept ‘11 Aug ‘12 winter ‘12 Journaling Index enhancements Aggregation Sharding and to improve size and Framework Replica set performance Multi-Data Center enhancements Authentication with Deployments Spherical geo sharded clusters Improved search Replica Set Performance and Enhancements Concurrency Concurrency improvements
- 3. 2.2 Overview
- 4. 2.2 Release August 2012 • Concurrency: yielding + db level locking • New aggregation framework • TTL Collections • Improved free list implementation • Tag aware sharding • Read Preferences • http://docs.mongodb.org/manual/release-notes/2.2/
- 5. Yielding and DB Locking • Improved yielding on page fault • Breaking down the global level lock – Lock per Database in 2.2 – Lock per Collection post 2.2
- 6. Aggregation Framework • Pipeline model (a bit like unix pipes) – Like a "group by" – Operators • $project, $group, $match, $limit, $skip, $unwind, $sort – Expressions • Logical Expressions: $and, $not, $or, $cmp ... • Math Expressions: $add, $divide, $mod ... • String Expressions: $strcasecmp, $substr, $toLower ... • Date/Time Expressions: $dayOfMonth, $hour... • Multi-Expressions: $ifNull, $cond • Use Cases: Real-time / inline analytics
- 7. Example – For each "tag", list the authors { title : "my tech blog" , author : "bob" , tags : [ "fun" , "good" , "tech" ] , } { title : "cool tech" , author : "jim" , tags : [ "awesome" , "tech" ] , }
- 8. Aggregate Command db.blogs.aggregate( { $project : { author : 1, tags : 1, } }, { $unwind : "$tags" }, { $group : { _id : { tags : "$tags" }, authors : { $addToSet : "$author" } }} );
- 9. Results { "result" : [ { "_id" : { "tags" : "tech" }, "authors" : [ "jim", "bob" ] },
- 10. Time to Live (TTL) • Auto expire data out of a collection • Must be on a date datatype • Single value is evaluated • Use Cases: data retention, cache expiration db.events.ensureIndex( { "timestamp": 1 }, { expireAfterSeconds: 3600 } )
- 11. Tag Aware Sharding • Distribute data based on a Tag • Use Cases: Locality for Data by Data Center sh.addShardTag("shard0000", "dc-emea") sh.addTagRange("mydb.users", { country: "uk"}, { country: "ul"}, "dc-emea" ); sh.addTagRange("mydb.users", { country: "by"},{ country: "bz"}, "dc-emea" );
- 12. Read Preferences • Mode – PRIMARY, PRIMARY_PREFERRED – SECONDARY, SECONDARY_PREFERRED – NEAREST • Tag Sets – Uses Replica Set tags – Passed Tag is used to find matching members
- 13. 2.4 and Beyond
- 14. 2.4 Highlights • Security – SASL, Kerberos, Additions to privileges and auditing • Hash-based Sharding • Geospatial Indexing: query intersecting polygons • Aggregation framework: faster and more features • V8, background secondary indexing, replica set flapping • Distribute non-sharded collections throughout cluster • MMS running in your own data center (separate)
- 15. Ongoing Work • Collection / Extent level locking • Field level authorization • Auditing • Full-text query
- 16. What can I do? • MongoDB is a community driven product – Use the product – Log feature requests – Vote for existing features • Join your local meetup – http://www.meetup.com/MongoDB-Bangalore-User- Group/