IN103 MongoDB What You Need To Know
- 1. MWLUG 2017 Moving Collaboration Forward MongoDB – What You Need to Know Kim Greene Kim Greene Consulting, Inc. kim@kimgreene.com
- 2. MWLUG 2017 Moving Collaboration Forward About Me { “name”: “Kim Greene”, “email”: “kim@kimgreene.com”, “company”: “Kim Greene Consulting, Inc.”, “website”: “www.kimgreene.com”, “twitter”: “@iSeriesDomino”, }
- 3. MWLUG 2017 Moving Collaboration Forward Agenda • What is MongoDB • MongoDB basics • How MongoDB compares to relational databases • How MongoDB compares to IBM Domino • Why and how customers are using MongoDB
- 4. MWLUG 2017 Moving Collaboration Forward What is MongoDB?
- 5. MWLUG 2017 Moving Collaboration Forward What is MongoDB? • MongoDB is a free and open-source cross-platform document-oriented database program. Classified as a NoSQL database program, MongoDB uses JSON-like documents with schemas. – Source: Wikipedia
- 6. MWLUG 2017 Moving Collaboration Forward More About MongoDB • Open source – Source and packages available at mongodb.com/download – Affero GPL license • MongoDB deployment – Designed to be deployed on-premises or in the cloud
- 7. MWLUG 2017 Moving Collaboration Forward NoSQL • Standard NoSQL – Non SQL – Non relational • MongoDB – Not only SQL – Maintains foundation of relational • Most commonly used in these scenarios – Big data – Real-time web applications • More flexible than relational databases
- 8. MWLUG 2017 Moving Collaboration Forward Multi-Model Database
- 9. MWLUG 2017 Moving Collaboration Forward 4 Types of Databases • WiredTiger – Most commonly used database type, the default • Encrypted – For highly sensitive data • In-memory – For performance critical data • MMAPv1 – Improved version of database used in earlier versions of MongoDB
- 10. MWLUG 2017 Moving Collaboration Forward Document Oriented • Store all information for an object in a single instance – No spanning tables for all information – No more normalizing data • Each stored object can be different – Not all documents need to contain the same data • Handles semi-structured, unstructured, and polymorphic data
- 11. MWLUG 2017 Moving Collaboration Forward Document Oriented
- 12. MWLUG 2017 Moving Collaboration Forward JSON-Like • BSON – Serialization of JSON data in a quick to move format – Ensures can replicate quickly and efficiently
- 13. MWLUG 2017 Moving Collaboration Forward Expressive Query Language Rich queries Find Kim’s cat Find all cats in Quebec ages 5 to 12 Geo spatial Find all cats in the 10 mile radius of Alexandria, VA Text search Find all black cats Find all cats with tiger stripes Aggregation Calculate how much cat food it takes to feed the cats in Sydney Map reduce What is the population of cats on each continent over the past 50 years
- 14. MWLUG 2017 Moving Collaboration Forward Aggregation Pipeline • Replaces find in certain scenarios • Improves performance significantly – Moves processing from the client side to the server – Saves CPU and bandwidth • Reduce the amount of data transmitted
- 15. MWLUG 2017 Moving Collaboration Forward MongoDB Basics
- 16. MWLUG 2017 Moving Collaboration Forward Interacting with the Database • mongo shell – Interactive JavaScript shell • MongoDB Compass – GUI • Modify docs, create validation rules, optimize query performance • Build and execute queries with results viewed both graphically and as a set of JSON documents • MongoDB Professional – The full monty
- 17. MWLUG 2017 Moving Collaboration Forward Indexes • Fundamental requirement for performance • Ensures quick and efficient access to data • Prevent collection scans
- 18. MWLUG 2017 Moving Collaboration Forward Security • A layered approach – OS • Apparmor, SELinux – Network • IPTABLES, NETFILTER – MongoDB – Application
- 19. MWLUG 2017 Moving Collaboration Forward Security • MongoDB 5 main components – Authentication • Who are you – Authorization • What can you do – Encryption – Auditing – Log redaction
- 20. MWLUG 2017 Moving Collaboration Forward Roles • Built-in roles – read – readWrite – dbAdmin – clusterAdmin – root • User-defined roles
- 21. MWLUG 2017 Moving Collaboration Forward How MongoDB Compares to Relational Databases
- 22. MWLUG 2017 Moving Collaboration Forward Relational Schema Design
- 23. MWLUG 2017 Moving Collaboration Forward MongoDB Schema Design
- 24. MWLUG 2017 Moving Collaboration Forward MongoDB vs. Relational Relational Database MongoDB Database Database Table Collection Index Index Row Document Column Field Join Embedding & Linking
- 25. MWLUG 2017 Moving Collaboration Forward Data Validation • Most NoSQL databases – Push enforcement of data validation controls to application code • MongoDB – Provides data validation within the database – Developers can enforce checks on document structure, data types, date ranges, presence of mandatory fields, …
- 26. MWLUG 2017 Moving Collaboration Forward Sharding
- 27. MWLUG 2017 Moving Collaboration Forward Why MongoDB vs. Relational? • Applications needing to work with huge data volumes or new and rapidly changing data types • Need to roll out code changes very quickly • Applications delivered as services • Companies moving to scale-out architecture and open source software
- 28. MWLUG 2017 Moving Collaboration Forward How MongoDB Compares to IBM Domino
- 29. MWLUG 2017 Moving Collaboration Forward Replica Sets • Group of MongoDB processes that maintain the same set of data – 3 replica sets is the standard for MongoDB • Provide high availability and redundancy – Failover is fully automated, no administrator intervention required – Self-healing shard • Optimize read operations
- 30. MWLUG 2017 Moving Collaboration Forward Replica Sets
- 31. MWLUG 2017 Moving Collaboration Forward Election of New Primary
- 32. MWLUG 2017 Moving Collaboration Forward Developer Friendly • Provides native drivers for popular programming languages plus over 30 community-developed drivers
- 33. MWLUG 2017 Moving Collaboration Forward Developer Friendly • Query model is implemented as methods or functions within the API of a programming language • No need to write in a separate language like SQL
- 34. MWLUG 2017 Moving Collaboration Forward Why and How Customers are Using MongoDB
- 35. MWLUG 2017 Moving Collaboration Forward ThermoFischer • Scientific applications generate humongous data
- 36. MWLUG 2017 Moving Collaboration Forward ThermoFischer • Why MongoDB was chosen – Performance and scalability – Reliability – Developer productivity – Cost effective – Runs anywhere – Rich set of features – Achievement of legal and regulatory approval
- 37. MWLUG 2017 Moving Collaboration Forward CoreLogic
- 38. MWLUG 2017 Moving Collaboration Forward CoreLogic
- 39. MWLUG 2017 Moving Collaboration Forward CoreLogic • Efficient support for geospatial information – Store latitude, longitude and other geo data – Specialized geospatial index for fast search • Search by location or area (polygon, circle) – Geospatial operators used: • $geoWithin • $GeoIntersects • $near
- 40. MWLUG 2017 Moving Collaboration Forward eHarmony
- 41. MWLUG 2017 Moving Collaboration Forward eHarmony • Goals of redesign – Simplified communication flow – Realtime messaging system – Extend system to support richer content types • Giphy • Video/Photos • Stickers – Support various custom business requirements – Improved user experience
- 42. MWLUG 2017 Moving Collaboration Forward Where to Find More Information
- 43. MWLUG 2017 Moving Collaboration Forward Where to Find More Information • MongoDB University – university.mongodb.com • YouTube tutorials – youtube.com/mongodb • Advocacy Hub – advocacy.mongodb.com