MongoDB Roadmap
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The document provides a roadmap and overview of recent releases of MongoDB including versions 1.8, 2.0, 2.2, and 2.4. It summarizes some of the key features introduced in each release such as journaling, indexing improvements, aggregation framework, sharding enhancements, and performance improvements. It then focuses on details of the 2.2 release including concurrency improvements, the new aggregation framework, TTL collections, tag aware sharding, and read preferences. It concludes by outlining some ongoing work and encouraging participation in the MongoDB community.
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MongoDB Roadmap
- 1. #MongoMelbourne Roadmap Stephen Steneker (stennie@10gen.com) Support Engineer, 10gen Australia
- 2. Recent Release History 1.8 2.0 2.2 2.4 March ‘11 Sept ‘11 Aug ‘12 Winter ‘13 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 • Writes on secondaries applied in batches
- 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. 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 } )
- 8. 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" );
- 9. Read Preferences • Mode – PRIMARY, PRIMARY_PREFERRED – SECONDARY, SECONDARY_PREFERRED – NEAREST • Tag Sets – Uses Replica Set tags – Passed Tag is used to find matching members
- 10. 2.4 and Beyond
- 11. 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)
- 12. Ongoing Work • Collection / Extent level locking • Field level authorization • Auditing • Full-text query
- 13. What can I do? • MongoDB is a community driven product – Use the product – Log feature requests – Vote for existing features • Join Melbourne MongoDB User Group – http://www.meetup.com/Melbourne-MongoDB-User-group
- 14. After Party at Trunk – (275 Exhibition) Insert After Party Map Here
Editor's Notes
- Disclaimer: We’re sharing what we’re working on. Things change, priorities may change, and we won’t release a feature in the next release if it isn’t ready yet. So please handle this transparency carefully. We’ll be adding more details. You can watch SERVER tickets to see as components go in.