MongoDB is a cross-platform, document-oriented database that works on the concept of collections and documents. MongoDB offers high speed, high availability, and high scalability.
Fetching data from MongoDB
Pymongo provides various methods for fetching the data from mongodb. Let’s see them one by one.
1) Find One: This method is used to fetch data from collection in mongoDB. It returns first first occurrence.
Syntax :
find_one()
Example:
Sample Database:
Python3
import pymongo# Database Namedb = client["database"]# Collection Namecol = db["GeeksForGeeks"]x = col.find_one()print(x) |
Output :
2) Find All: For all occurrences in the selection, use find() method. It works like Select * query of SQL.
Syntax :
find()
Example:
Python3
import pymongo# Database Namedb = client["database"]# Collection Namecol = db["GeeksForGeeks"]x = col.find()for data in x: print(data) |
Output:
find_one() and find() accepts an optional filter parameter that selects which documents to include in the result set. Can be an empty document to include all documents.
3) Fetching only specific fields: If you want to fetch only some fields then in the find method pass the first parameter as {} and second parameter as 1 for those field that you want to fetch and 0 for those you don’t want to fetch.
Syntax:
find({},{field_data:bool})
Example:
Python3
import pymongo# Database Namedb = client["database"]# Collection Namecol = db["GeeksForGeeks"]# Fields with values as 1 will# only appear in the resultx = col.find({},{'_id': 0, 'appliance': 1, 'rating': 1, 'company': 1})for data in x: print(data) |
Output:
