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![Collection GET
http://api.example.com/v1/contacts?where={“age”: {“$gt”: 20}}
def get_collection(collection):
documents = []
cursor = db(collection).find(**args)
for document in cursor:
documents.append(document)
return documents
find() accepts a python dict
as query expression, and
returns a cursor we can
iterate](https://image.slidesharecdn.com/6-restwebapiwithmongodb-121026115246-phpapp02/85/REST-Web-API-with-MongoDB-22-320.jpg)
![POSTing
def post(collection):
(...)
for key, item in docs.items():
response[ID_FIELD] = db(collection).insert(item)
push document and get its
ObjectId back from Mongo.
like other CRUD operations,
inserting is trivial in
mongo.](https://image.slidesharecdn.com/6-restwebapiwithmongodb-121026115246-phpapp02/85/REST-Web-API-with-MongoDB-28-320.jpg)
![Collection GET
http://api.example.com/v1/contacts?where={“age”: {“$gt”: 20}}
def get_collection(collection):
documents = []
cursor = db(collection).find(**args)
for document in cursor:
documents.append(document)
return documents
find() accepts a python dict
as query expression, and
returns a cursor we can
iterate](https://image.slidesharecdn.com/6-restwebapiwithmongodb-121026115246-phpapp02/75/REST-Web-API-with-MongoDB-22-2048.jpg)
![POSTing
def post(collection):
(...)
for key, item in docs.items():
response[ID_FIELD] = db(collection).insert(item)
push document and get its
ObjectId back from Mongo.
like other CRUD operations,
inserting is trivial in
mongo.](https://image.slidesharecdn.com/6-restwebapiwithmongodb-121026115246-phpapp02/75/REST-Web-API-with-MongoDB-28-2048.jpg)
Uploaded byMongoDB
REST Web API with MongoDB
This document discusses using MongoDB as the database for a RESTful web API. Some key points: - MongoDB's schema-less and JSON-like data structure makes it a natural fit for storing and retrieving JSON data from a REST API. The document formats can be directly mapped to and from the database. - Common CRUD operations like getting, inserting, updating and deleting documents can be easily implemented with MongoDB's simple API. Queries can be expressed in JSON format. - MongoDB is lightweight, allows flexible schemas, and has fast performance for common operations needed in a REST API backed by a database. - The document uses examples of how a hypothetical REST API for a "contacts" resource might work,
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REST Web API with MongoDB
- 1. RESTful Web API with MongoDB Nicola Iarocci
- 2.
- 3. Italian edition Il Piccolo Libro di MongoDB by Karl Seguin, traduzione di Nicola Iarocci http://nicolaiarocci.com/il-piccolo-libro-di-mongodb-edizione-italiana/
- 4. gestionaleamica.com invoicing & accounting
- 5. Your Typical OldSchool Desktop app... ... now going web & mobile
- 6. MongoDB and REST or why we picked MongoDB for our REST API
- 7. Similarity with RDBMS made NoSQL easy to grasp (even for a dumbhead like me)
- 8. Terminology RDBMS Mongo Database Database Table Collection Rows(s) JSON Document Index Index Join Embedding & Linking
- 9. JSON-style data store true selling point for me
- 10. JSON & RESTfulAPI GET Client Mongo JSON JSON accepted media type (BSON) maybe we can push directly to client?
- 11. JSON & RESTfulAPI GET Client API Mongo JSON JSON/dict JSON accepted media type maps to python dict (BSON) almost.
- 12. JSON & RESTfulAPI POST Client API Mongo JSON JSON/dict JSON maps to python dict objects (BSON) (validation layer) also works when posting (adding) items to the database
- 13. What about Queries? Queriesin MongoDB are represented as JSON-style objects // select * from things where x=3 and y="foo" db.things.find({x: 3, y: "foo”});
- 14. JSON & RESTfulAPI FILTERING & SORTING ?where={x: 3, y: "foo”} Client API Mongo (very) thin native parsing JSON Mongo & validation (BSON) query syntax layer
- 15. JSON all alongthe pipeline mapping to and from the database feels more natural
- 16. Schema-less dynamic objects allowfor a painless evolution of our schema (because yes, a schema exists at any point in time)
- 17. ORM Where we’re goingwe don’t need ORMs.
- 18. PyMongo official Python driver MongoDB drivers are beautiful
- 19. Also in MongoDB •setup is a breeze • lightweight • fast inserts, updates and queries • excellent documentation • great support by 10gen • great community
- 20. Collections API’s entrypoint + plural nouns http://api.example.com/v1/contacts
- 21. Document Documents are identified by ObjectID http://api.example.com/v1/contacts/4f46445fc88e201858000000 And eventually by an alternative lookup value http://api.example.com/v1/contacts/CUST12345
- 22. Collection GET http://api.example.com/v1/contacts?where={“age”: {“$gt”:20}} def get_collection(collection): documents = [] cursor = db(collection).find(**args) for document in cursor: documents.append(document) return documents find() accepts a python dict as query expression, and returns a cursor we can iterate
- 23.
- 24. PATCHing def patch_document(collection, original): (...) # Perform the update db(collection).update({"_Id": ObjectId(object_id)}, {"$set": updates}) mongo update() method commits updates to the database.
- 25. PATCHing def patch_document(collection, original): (...) # Perform the update db(collection).update({"_Id": ObjectId(object_id)}, {"$set": updates}) udpate() takes the unique Id of the document to update
- 26. PATCHing def patch_document(collection, original): (...) # Perform the update db(collection).update({"_Id": ObjectId(object_id)}, {"$set": updates}) $set accepts a dict with the updates for the db eg: {“active”: False}. updates are atomic
- 27.
- 28. POSTing def post(collection): (...) for key, item in docs.items(): response[ID_FIELD] = db(collection).insert(item) push document and get its ObjectId back from Mongo. like other CRUD operations, inserting is trivial in mongo.
- 29. Introducing Eve Open Source RESTful Web API powered by MongoDB
- 30. in ! rk ess wo gr p ro he r y t t to ge ll s ! u ere f h ... stay tuned!
- 31. Wanna see itrunning? Hopefully it won’t explode right into my face
- 32. Thank you. english:@nicolaiarocci italian: nicolaiarocci.com