Webinar: Introduction to MongoDB 3.0
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MongoDB 3.0 introduces several important and exciting features to the MongoDB Ecosystem. These include a pluggable storage API, the WiredTiger storage engine, and improved concurrency controls. Learn how to take advantage of these new features and how they will improve your database performance in this webinar.
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Webinar: Introduction to MongoDB 3.0
- 2. Introduction to 3.0 By: Osmar “Oz” Olivo Product Manager MongoDB Inc.
- 3. Agenda • Pluggable Storage Engines • WiredTiger Integration • Concurrency • Compression • Enhanced Querying & Tools • Administration Enhancements • Replication Enhancements
- 5. • Vision – One data model, one API, one set of operational concerns » Under the hood, many options for every use case under the sun Storage Engine Layer
- 6. Storage Engine Layer Content Repo IoT Sensor Backend Ad Service Customer Analytics Archive MongoDB Query Language (MQL) + Native Drivers MongoDB Document Data Model MMAP V1 WT In-Memory ? ? Supported in MongoDB 3.0 Future Possible Storage Engines Management Security Experimental in MongoDB 3.0
- 9. Why WT? • WT product and team acquired by MongoDB – Authors former members of Berkeley DB team – Standalone engine in use in production today • WT addresses weaknesses of MMAPv1 – Compression – Highly concurrent and enables full hardware utilization – More tunable
- 10. Concurrency
- 11. MMAPv1 Concurrency Improvements • Collection Level Concurrency – One lock per collection – Write operations to a collection block all other operations on that collection – Read operations to a collection block writes to that collection • Allow other read operations to occur concurrently
- 12. Concurrency in WiredTiger • Document Level Concurrency – Uses various algorithms to minimize contention between threads – One thread yields on contention to same document • Writes no longer block all other writes • CPU utilization directly correlates with performance
- 13. Compression
- 14. Compression (WT only) • Compression is on in WT by default • 3.0 supports two compression algorithms – snappy (default) • Good compression benefits with little CPU/performance impact – zlib • Extremely good compression at a cost of additional CPU/degraded performance
- 15. Enhanced Querying & Tools
- 16. Indexing & Querying • Explain() 2.0 – explain() revamped • Now allows for improved query inspection • Geospatial Big Polygon support – Improved handling of polygons with an area greater than a single hemisphere • $dateToString operator in aggregation – Allows user to specify string format for which to convert a date into
- 17. Tools Improvements • MongoDB Server Tools Rewritten in GO – Removed all server dependencies – Allows for much faster iteration • Parallelized data loading tools – dump/restore & import/export – highly improved loading and export times
- 19. Administration • Role Based Auditing – Auditing rules can be set to filter on specific roles – Useful for auditing certain kinds of accesses or users • Logging Improvements – New component system – Able to filter by severity levels
- 20. Replication
- 21. Replication • Replica set limit raised from 12 to 50 • Meets a much higher HA standard – Can deploy across many more regions and DC’s – Increases locality of data across deployments – Easier to guarantee local reads across many regions
- 23. Questions?
Editor's Notes
- Storage engine layer covers on disk data format, memory representation of the data, and how it is accessed (concurrency)
- Now have the option to scale both vertically as well as horizontally