Let the Tiger Roar!
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The document promotes MongoDB 3.0, featuring a pluggable storage engine API that includes options like mmapv1 and WiredTiger, offering improved performance and flexibility for different workloads. WiredTiger brings document-level concurrency, compression, and enhanced performance, while also being compatible with existing MongoDB operations. It highlights the benefits of using MongoDB Ops Manager for efficient management, and encourages early registration for an upcoming event with discounts available.
Let the Tiger Roar!
- 1. Register now: mongodbworld.com Early Bird Ends May 1st Use Code BryanReinero for additional 25% Off *Come as a group of 3 or more – Save another 25%
- 3. Let the Tiger Roar! MongoDB 3.0 Bryan Reinero US Developer Advocate bryan@mongodb.com @blimpyacht Github.com/breinero
- 4. Agenda • MongoDB 3.0 • Pluggable Storage Engine API • Storage Engines – MMAPv1 – WiredTiger – WT vs MMAPv1 • Improvements
- 6. MongoDB 3.0 is a bag full of goodies!
- 8. How does MongoDB persist data? • <= MongoDB 2.6 – One unique mechanism using Memory Mapped Files – "mmapv1" Storage Engine • MongoDB 3.0 has a few more options – mmapv1 – default – wiredTiger – (in_memory – experimental only)
- 9. Pluggable Storage Engine API http://www.livingincebuforums.com/ipb/uploads/monthly_10_2011/post-198-0-67871200-1318223706.jpg
- 10. Storage Engine API • Allows to "plug-in" different storage engines – Different work sets require different performance characteristics – mmapv1 is not ideal for all workloads – More flexibility • Can mix storage engines on same replica set/sharded cluster • Opportunity to integrate further ( HDFS, native encrypted, hardware optimized …)
- 12. MMAPv1
- 13. MMAPv1 • Improved concurrency control • Great performance on read-heavy workloads • Data & Indexes memory mapped into virtual address space • Data access is paged into RAM • OS evicts using LRU • More frequently used pages stay in RAM
- 14. WiredTiger
- 15. What is WiredTiger? • Storage engine company founded by BerkeleyDB alums • Recently acquired by MongoDB • Available as a storage engine option in MongoDB 3.0
- 16. Why is WiredTiger Awesome • Document-level concurrency • Disk Compression • Consistency without journaling • Better performance on certain workloads – write heavy
- 17. Improving Concurrency • 2.2 – Global Lock • 2.4 – Database-level Locking • 3.0 MMAPv1 – Collection-level Locking • 3.0 WT – Document-level – Writes no longer block all other writes – Higher level of concurrency leads to more CPU usage
- 18. Compression • WT uses snappy compression by default • Data is compressed on disk • 2 supported compression algorithms – snappy: default. Good compression, relatively low overhead – zlib: Better • Indexes are compressed using prefix compression – Allows compression in memory
- 19. Consistency without Journaling • MMAPv1 uses write-ahead log (journal) to guarantee consistency • WT doesn't have this need: no in-place updates – Write-ahead log committed at checkpoints • 2GB or 60sec by default – configurable! – No journal commit interval: writes are written to journal as they come in – Better for insert-heavy workloads • Replication guarantees the durability
- 20. MMAPv1 vs. WT
- 21. How to run MMAPv1 • MMAPv1 is the default
- 22. How to run WT • mongod now has --storageEngine option
- 23. MMAPv1 Database Files • MMAPv1 persists data to files per databases – Indexes – Data
- 24. WT Database Files • Each collection & indexes stored in own file
- 25. Playing nice together • Can not – Can't copy database files – Can't just restart w/ same dbpath • Yes we can! – Initial sync from replica set works perfectly! – mongodump/restore • Rolling upgrade of replica set to WT: – Shutdown secondary – Delete dbpath – Relaunch w/ --storageEngine=wiredTiger – Rollover
- 26. Other WT configuration options • Compression: --wiredTigerCollectionBlockCompressor • YAML format for configuration
- 27. Gotcha's!!! • No 32-bit Support – WT is 64bit only • system.indexes & system.namespaces deprecated – Explicit commands: db.getIndexes() db.getCollectionNames()
- 29. Improvements
- 30. Benefits
- 31. Wider Range of Use Cases How: Flexible Storage Architecture • Fundamental rearchitecture, with new pluggable storage engine API • Same data model, same query language, same ops • But under the hood, many storage engines optimized for many use cases Single View Content Management Real-Time Analytics Catalog Internet of Things (IoT)Messaging Log Data Tick Data
- 32. Up to 95% Lower Operational Overhead How: MongoDB Ops Manager • The best way to run MongoDB • Automates core management tasks • Single-click provisioning, scaling, upgrades, administration • Monitoring, with charts, dashboards & alerts on 100+ metrics • Backup and restore, with point-in- time recovery
- 33. 7x-10x Performance, 50%-80% Less Storage How: WiredTiger Storage Engine • Same data model, same query language, same ops • Write performance gains driven by document-level concurrency control • Storage savings driven by native compression • 100% backwards compatible • Non-disruptive upgrade MongoDB 3.0MongoDB 2.6 Performance
- 34. http://www.humanandnatural.com/data/media/178/badan_jaran_desert_oasis_china.jpg Please go and test it! 3.0.2 https://www.mongodb.org/downloads http://www.tinypm.com/blog/wp-content/uploads/2015/01/hammer.jpg
- 37. Register now: mongodbworld.com Super Early Bird Ends April 3! Use Code BryanReinero for additional 25% Off *Come as a group of 3 or more – Save another 25%