Jumpstart: Building Your First App with MongoDB
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The document provides an overview of a workshop by Sr. Solutions Architect Sig Narváez on building serverless applications using MongoDB and AWS Lambda. It covers MongoDB basics, application development using the MEAN stack, and the benefits of serverless architecture, along with practical code examples and analytics capabilities. The session emphasizes ease of use and the advantages of using MongoDB Atlas as a Database as a Service (DBaaS).
![#MDBlocal
Documents are RICH DATA STRUCTURES
{
fname: ‘Paul’,
lname: ‘Miller’,
cell: 447557505611,
city: ‘London’,
location: { type: Point,
coordinates: [45.123,47.232]},
Profession: [‘banking’, ‘finance’, ‘trader’],
cars: [
{ model: ‘Bentley’,
year: 1973,
value: 100000, … },
{ model: ‘Rolls Royce’,
year: 1965,
value: 330000, … }
]
}
Lists of sub-documents
Typed field values
(BSON)
Fields can contain
arrays
Fields
Query and Index
at any level](https://image.slidesharecdn.com/snarvaez-mdblocal-socal-ju-eec60991-359e-49ca-ad6a-27943150ed14-941892753-180124222928/85/Jumpstart-Building-Your-First-App-with-MongoDB-6-320.jpg)
![#MDBlocal
{
sku: ‘PAINTZXC123’,
product_name: ‘Metallic Paint’,
product_type: ‘Paint’,
colors: [‘Red’, ‘Green’],
size_gallons: [5, 10]
}
{
sku: ‘TSHRTASD43546’,
product_name: ‘Funny Car T’,
product_type: ‘T-shirt’
size: [‘S’, ‘M’, ‘L’, ‘XL’],
colors: [‘Heather Gray’ … ],
material: ‘100% cotton’,
wash: ‘cold’,
dry: ‘tumble dry low’
}
{
sku: ‘WHEELBVCX6543’,
product_name: ’19” 5-spoke’,
product_type: ‘Wheel’
material: ‘aluminum alloy’,
color: ‘silver’,
frame_material: ‘aluminum’,
package_height: ’20.5x32.9x55’,
weight_lbs: 5.15,
wheel_size_in: 19
}
Polymorphic Schema – Aligns with OOP principles
ProductCatalog collection:
Car Paint products Car T-Shirt products Car Wheels products
Documents are FLEXIBLE](https://image.slidesharecdn.com/snarvaez-mdblocal-socal-ju-eec60991-359e-49ca-ad6a-27943150ed14-941892753-180124222928/85/Jumpstart-Building-Your-First-App-with-MongoDB-7-320.jpg)
Jumpstart: Building Your First App with MongoDB
- 1. # M D B l o c a l Sig Narvaez, Sr Solutions Architect Jan 22 2018 The Cove @ UCI Applied Innovation Jumpstart: Building Your First Serverless App with MongoDB
- 2. #MDBlocal Sig Narváez Sr. Solution Architect MongoDB @SigNarvaez
- 3. #MDBlocal AGENDA “Building something is the best way to learn” 1) MongoDB Basics: JSON Documents, CRUD, Indexes, Agg Fmwk 2) Build App: MEAN stack 3) Serverless: MongoDB Atlas + AWS Lambda
- 5. #MDBlocal Rigid 2D vs. Dynamic 3D https://iedei.files.wordpress.com/2012/04/mercedes-f1-car-disassembled.jpeg http://www.northlodge.org/f1/2002/bar/bar-2002-01-honda-02.jpg
- 6. #MDBlocal Documents are RICH DATA STRUCTURES { fname: ‘Paul’, lname: ‘Miller’, cell: 447557505611, city: ‘London’, location: { type: Point, coordinates: [45.123,47.232]}, Profession: [‘banking’, ‘finance’, ‘trader’], cars: [ { model: ‘Bentley’, year: 1973, value: 100000, … }, { model: ‘Rolls Royce’, year: 1965, value: 330000, … } ] } Lists of sub-documents Typed field values (BSON) Fields can contain arrays Fields Query and Index at any level
- 7. #MDBlocal { sku: ‘PAINTZXC123’, product_name: ‘Metallic Paint’, product_type: ‘Paint’, colors: [‘Red’, ‘Green’], size_gallons: [5, 10] } { sku: ‘TSHRTASD43546’, product_name: ‘Funny Car T’, product_type: ‘T-shirt’ size: [‘S’, ‘M’, ‘L’, ‘XL’], colors: [‘Heather Gray’ … ], material: ‘100% cotton’, wash: ‘cold’, dry: ‘tumble dry low’ } { sku: ‘WHEELBVCX6543’, product_name: ’19” 5-spoke’, product_type: ‘Wheel’ material: ‘aluminum alloy’, color: ‘silver’, frame_material: ‘aluminum’, package_height: ’20.5x32.9x55’, weight_lbs: 5.15, wheel_size_in: 19 } Polymorphic Schema – Aligns with OOP principles ProductCatalog collection: Car Paint products Car T-Shirt products Car Wheels products Documents are FLEXIBLE
- 8. #MDBlocal SQL & NoSQL Relational MongoDB Data Governance Document Validation & JSON Schema Trigger Change Streams (3.6) Joins $lookup (left-outer) Indexes & Views ✔️ NoSQL MongoDB High Availability / Always On Replica Sets High Scalability / Global Scale Sharding Horizontal Scale Secondary Nodes (read scale) Shards (write scale)
- 10. #MDBlocal How easy is it to get started? A: Let’s see some code!
- 11. #MDBlocal .local development npm install mongodb --save mongod --dbpath ../data Compass
- 13. #MDBlocal Find collectors within 10 mile radius of London who own cars from the 1970’s http://static2.uk.businessinsider.com/image/57925947dd089545048b49d4-1200/jay-lenos-garage-jaguar-e-type.jpg
- 14. #MDBlocal Expressive Queries London 10 Miles (in Radians) 1970’s
- 16. #MDBlocal Aggregation Framework Analytics Find the top 10 collectors
- 17. #MDBlocal How easy was it to get started? A: VERY EASY!
- 18. #MDBlocal Let’s build an app!
- 20. #MDBlocal Driver or ODM? ● Official Driver ● Support Latest Features ● Not an ODM ● 3rd Party ● May not support Latest Features ● ODM ● De facto with MEAN
- 21. #MDBlocal MEAN Questions (& Applauses 👏 👏 👏)
- 22. #MDBlocal MEAN Questions (& Applauses 👏 👏 👏)
- 23. #MDBlocal Was that easy? A: 👏 👏 👏
- 25. #MDBlocal MongoDB Atlas: Database as a Service Self-service, elastic, and automated Secure by default Comprehensive monitoring Global and highly available Continuous & Queryable Backups. Migrations Orgs, Teams and Projects
- 26. #MDBlocal Update to connect to Atlas Security 1. RBAC (User & Permissions) 2. IP Whitelist Update connection string
- 27. #MDBlocal What burden does Atlas remove? A: Running “Production Grade” MongoDB in the Cloud
- 29. #MDBlocal Where will my logic run? Big Iron Commodity Hardware Virtualized Containers Functions
- 32. #MDBlocal MEAN Questions (& Applauses 👏 👏 👏) aws-serverless-express
- 34. #MDBlocal Atlas
- 38. #MDBlocal Easy!
- 39. #MDBlocal What burden does Serverless remove? A: App Servers – Setup, Run & Scale!
- 40. #MDBlocal What did we learn? Basics More? Servererless Architectures Webinar: https://www.mongodb.com/presentations/webinar-serverless- architectures-with-aws-lambda-and-mongodb-atlas