MongoDB - Getting Started
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Agenda: - Intro - Power of RDBMS - Problems with RDBMS - Solutions from NoSQL - MongoDB Document Model - Demo | MongoDB basic CRUD Operations
![Impedance Mismatch
Relational Model
Tables, Columns, Rows, Relations
We are developers
OOP, Polymorphism, Inheritance
Objects are not uniform
Work around
Mapping layer, ORMs
Id Name
1 Comp A
2 Comp B
Id Name
02 Cairo
03 Alexandria
CompanyId CityId
1 02
2 03
1 03
// application code
class Company { int Id; string Name; City[] Cities; }](https://image.slidesharecdn.com/mongodb-gettingstarted-200406132530/85/MongoDB-Getting-Started-11-320.jpg)
![Impedance Mismatch - Solution
No Relational Model
Tables, Columns, Rows, Relations
// application code
class Company { int Id; string Name; City[] Cities; }
// mongo document for Company
{
id: 1,
name: Comp A,
cities: [ Cairo, Alexandria ]
}](https://image.slidesharecdn.com/mongodb-gettingstarted-200406132530/85/MongoDB-Getting-Started-14-320.jpg)
MongoDB - Getting Started
- 1. AHMED HELMY (@HELMY204) SOFTWARE ENGINEER | CSD | CSM AHMEDHELMY204@HOTMAIL.COM mongoDB Getting Started
- 2. Agenda Intro Power of RDBMS Problems with RDBMS Solutions from NoSQL MongoDB Document Model Demo | MongoDB basic CRUD Operations
- 3. Power of RDBMS Default choice for serious data storage Specific Vendor Concurrency (ACID) Almost Standard Model Query Language
- 4. Share your thoughts Are there problems with RDBMS!
- 5. Big Data Websites tracking activities in a very detailed way Links, social networks, activity logs, etc Require more computing resources Scaling up Scaling out (Clusters)
- 6. Attack of the clusters Rigid schemas Inability to Scale out Performance challenges Expensive License Application Sharding
- 8. Distribution Models - Single Server Simplest No distribution at all
- 9. Distribution Models - Replication Master Slave model Master Slave 1 Slave 2
- 10. Distribution Models - Sharding Shard 1 Shard 2 Shard 3 * Sharding puts different data on separate nodes, each of which does its own reads and writes
- 11. Impedance Mismatch Relational Model Tables, Columns, Rows, Relations We are developers OOP, Polymorphism, Inheritance Objects are not uniform Work around Mapping layer, ORMs Id Name 1 Comp A 2 Comp B Id Name 02 Cairo 03 Alexandria CompanyId CityId 1 02 2 03 1 03 // application code class Company { int Id; string Name; City[] Cities; }
- 12. Solution is NoSQL Google and Amazon Scale out (distributed ,clusters) BigTable, DynamoDB
- 13. What is NoSQL No Relational Model No SQL (some use others i.e. CQL) Schemaless BASE (Basically Available, Soft state, Eventual consistency) instead of ACID Distributed (Run on Clusters) Open-source Classified into four types Key-Value pair (Redis) Document (MongoDB) Column Family (Cassandra) Graph (neo4j)
- 14. Impedance Mismatch - Solution No Relational Model Tables, Columns, Rows, Relations // application code class Company { int Id; string Name; City[] Cities; } // mongo document for Company { id: 1, name: Comp A, cities: [ Cairo, Alexandria ] }
- 15. MongoDB Document Model Consistency MongoDB database is configured by using replica sets Every write can specify the number of servers the write has to be propagated to before it returns as successful Transactions Transactions involving more than one operation are possible (4.0+) Availability MongoDB implements replication, providing high availability using replica sets Scaling Sharding Replication
- 16. MongoDB Document SQL Server MongoDB Database instance MongoDB instance Database database Table collection Row document rowid _id join DBRef * Although MongoDB supports join via DBRef, Embedding child documents as sub-objects inside documents provides for easy access and better performance
- 17. Use cases Event Logging CMS, Blogs Web analytics E-commerce
- 18. Using compass for CRUD operations Demo
- 19. Questions
- 20. Summary RDBMS pros and cons Solutions from NoSQL MongoDB Document Model Demo
- 21. References NoSQL Distilled https://martinfowler.com/books/nosql.html Understanding NoSQL https://www.pluralsight.com/courses/understanding-nosql
- 22. Thank you
Editor's Notes
- #6: Attack of the clusters Big data Websites tracking activities in a very detailed way Links, social networks, activity logs, etc Require more computing resources Scaling up Scaling out (Clusters) Relational databases are not designed to be run on clusters Relational sharding has to be controlled by the application Relational on clusters has high license prices
- #7: Attack of the clusters Big data Websites tracking activities in a very detailed way Links, social networks, activity logs, etc Require more computing resources Scaling up Scaling out (Clusters) Relational databases are not designed to be run on clusters Relational sharding has to be controlled by the application Relational on clusters has high license prices
- #10: One node is the master or primary Master used to update data Slave nodes used for scaling read requests horizontally If Master fails, the slaves can still handle read request Slave can act as a hot backup
- #11: Horizontal Scalability Putting different parts of the data onto different servers Each node does its own reads and writes Improve performance Can place the data close to where its being accessed Many NoSQL databases offers auto-sharding
- #14: NoSQL databases known by its characteristics Not using Relational Model Not using SQL (some use others i.e. CQL) Schemaless BASE (Basically Available, Soft state, Eventual consistency) instead of ACID Distributed (Run on Clusters) Open-source Classified into four types Key-Value pair Document Column Family Graph
- #15: NoSQL databases known by its characteristics Not using Relational Model Not using SQL (some use others i.e. CQL) Schemaless BASE (Basically Available, Soft state, Eventual consistency) instead of ACID Distributed (Run on Clusters) Open-source Classified into four types Key-Value pair Document Column Family Graph
- #16: Consistency MongoDB database is configured by using replica sets Every write can specify the number of servers the write has to be propagated to before it returns as successful You can increase the w value for stronger consistency but will suffer on write performance Transactions Transactions involving more than one operation are possible (4.0+) Availability MongoDB implements replication, providing high availability using replica sets Scaling Sharding Replication