MongoDB - An Agile NoSQL Database
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This document discusses using MongoDB as an agile NoSQL database for big data applications. It describes MongoDB's schema-less design, horizontal scaling, and replication capabilities which make it a good fit for frequently changing agile projects. The document includes examples of using MongoDB for an e-commerce catalog with dynamic product data and reviews from multiple sources.
![JSON structure
{"_id" : "compatibleHandsets" : [{
ObjectId("5082626144ae3a6879 "manufacturer" : {
19c094"), "name" : "Apple",
"name" : "iPhone 5 Pop Blue Case", "canonicalName" : "apple"
},
"canonicalName" : "iphone-5-pop-
blue-case", "model" : "iPhone 5 16GB",
"name" :
"retailPrice" : 19.99, "Apple_iPhone_5_16GB",
"productCode" : "G4IC542G", "canonicalName" :
"category" : { "apple_iphone_5_16gb"
}],
"categoryCode" : "CAS",
"name" : "Cases",
review_ids : ["review_id1",
"canonicalName" : "cases" "review_id2"]
}, }](https://image.slidesharecdn.com/agile-mongodb-conf-130210115614-phpapp01/85/MongoDB-An-Agile-NoSQL-Database-13-320.jpg)
MongoDB - An Agile NoSQL Database
- 1. An Agile NoSQL Database Gaurav Awasthi Technology Evangelist [email protected]
- 2. Big Data - The New World Order • A massive volume of both structured and unstructured data that it's difficult to process using traditional database and software techniques • As of 2012, every day 2.5 quintillion bytes of data were created • Data Source: – Climate sensors – Social media – Digital pictures and videos – Purchase transaction records – Cell phone GPS signals • Characteristics : Volume, Velocity and Variety • Key Usage: leverage data-driven strategies to innovate, compete, and capture value from deep and up-to-real-time information
- 3. NoSQL Defining Characteristics – Scaling out on commodity hardware – Aggregate structure – Schema-less attitude – Impedance Mismatch : Relational model in-memory data structures – Big Data : Massive data being stored and transacted – Reduced Data Management and Tuning Requirements – Eventually consistent / BASE (not ACID)
- 4. Mongo DB • Open-source, Document-oriented, popular for its agile and scalable approach • Notable Features : – JSON/BSON data model with dynamic schema – Auto-sharding for horizontal scalability – Built-in replication with automated fail-overs – Full, flexible index support including secondary indexes – Rich document-based queries – Aggregation framework and Map / Reduce – GridFS for large file storage
- 5. Agile & MongoDB Characteristics supporting Agility – Allows dynamic schema (schemaless) – JSON format, which maps well to object-style data. – Simplified db tuning – Cost Effective and Simple replica sets – Easy scale out due to simplified sharding mechanism – Rich content using GridFS
- 6. A Demo for Schema-less way
- 7. A Demo Query Plan and DB Tuning
- 8. Replication • Replica set – a mongod cluster • Ensures High Availability, Redundancy, Automated Fail- over • Writes to the Primary, Reads from all • Asynchronous replication • In conventional terms, more like Master/Slave replication • Members can be configured to be: Secondary only / Non- Voting / Hidden / Arbiters / Delayed
- 10. A Demo for Replica Set • Run the 3 mongod processes • Demo that they are running on different ports using ps –ef • Initiate the repl set and add members • Demo which ones are primary and secondary using rs.status() • Now insert docs into a collection in primary • Demo that its replicated to secondary • Thereby proving how straight fwd is replication • Briefly touch upon the steps for sharding too
- 11. Case Study – E-Commerce Shop Architecture Diagram Product supplier catalog App External Feeds (container) Mongo Payment Gateway
- 12. Domain model
- 13. JSON structure {"_id" : "compatibleHandsets" : [{ ObjectId("5082626144ae3a6879 "manufacturer" : { 19c094"), "name" : "Apple", "name" : "iPhone 5 Pop Blue Case", "canonicalName" : "apple" }, "canonicalName" : "iphone-5-pop- blue-case", "model" : "iPhone 5 16GB", "name" : "retailPrice" : 19.99, "Apple_iPhone_5_16GB", "productCode" : "G4IC542G", "canonicalName" : "category" : { "apple_iphone_5_16gb" }], "categoryCode" : "CAS", "name" : "Cases", review_ids : ["review_id1", "canonicalName" : "cases" "review_id2"] }, }
- 14. Design decisions with Mongo • Agile incremental releases • Unstructured data from multiple suppliers • GridFS : Stores large binary objects • Spring Data Services • Embedding and linking documents • Easy replication set up for AWS
- 15. Conclusion and Thanks MongoDB: the right persistence tool for Agile Development for multitude of business problems in the new world order References: • Mongodb.org
Editor's Notes
- #12: Show the Accessory Shop site and explain the functionality in brief