MongoDB - An Agile NoSQL Database

Feb 10, 2013Download as PPT, PDF12 likes3,641 views

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.

An Agile NoSQL Database

Gaurav Awasthi
Technology Evangelist
gawasthi@equalexperts.com

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

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)

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

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

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

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

Case Study – E-Commerce Shop
Architecture Diagram

Product supplier
catalog App External Feeds
(container) Mongo

Payment Gateway

$JSON structure {"_id" : "compatibleHandsets" : [{ ObjectId("5082626144ae3a6879 "manufacturer" : { 19c094"), "name" : "Apple", "name" : "iPhone 5 Pop Blue Case", "canonicalName" : "apple" }, "canonicalName" : "iphone-5-pop- blue-case", "model" : "iPhone 5 16GB", "name" : "retailPrice" : 19.99, "Apple_iPhone_5_16GB", "productCode" : "G4IC542G", "canonicalName" : "category" : { "apple_iphone_5_16gb" }], "categoryCode" : "CAS", "name" : "Cases", review_ids : ["review_id1", "canonicalName" : "cases" "review_id2"] }, }$

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

Conclusion and Thanks
MongoDB: the right persistence tool for Agile Development for multitude of
business problems in the new world order

References:
•
Mongodb.org

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This session is designed to equip developers with the skills needed to build mission-critical, end-to-end processes that seamlessly orchestrate agents, people, and robots. 📕 Here's what you can expect: - Modeling: Build end-to-end processes using BPMN. - Implementing: Integrate agentic tasks, RPA, APIs, and advanced decisioning into processes. - Operating: Control process instances with rewind, replay, pause, and stop functions. - Monitoring: Use dashboards and embedded analytics for real-time insights into process instances. This webinar is a must-attend for developers looking to enhance their agentic automation skills and orchestrate robust, mission-critical processes. 👨‍🏫 Speaker: Andrei Vintila, Principal Product Manager @UiPath This session streamed live on April 29, 2025, 16:00 CET. Check out all our upcoming Dev Dives sessions at https://community.uipath.com/dev-dives-automation-developer-2025/.

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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

9. Elastic Architecture

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

MongoDB - An Agile NoSQL Database

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Editor's Notes