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Showing posts from September 17, 2022

PYTHON MONGODB INESRT

M ONGODB INESRT Insert Into Collection A document in MongoDB is the same as a record in SQL databases. To insert a record, or document as it is called in MongoDB, into a collection, we use the insert_one() method. The first parameter of the insert_one() method is a dictionary containing the name(s) and value(s) of each field in the document you want to insert. Insert a record in the "customers" collection: import pymongo myclient = pymongo.MongoClient("mongodb://localhost:27017/") mydb = myclient["mydatabase"] mycol = mydb["customers"] mydict = { "name": "John", "address": "Highway 37" } x = mycol.insert_one(mydict) #The insert_one() method returns a InsertOneResult object print(x.inserted_id) #inserted_id, that holds the id of the inserted document. Insert Multiple Documents To insert multiple documents into a collection in MongoDB, we use the insert_many() method. The first param

PYTHON MONGODB CREATE DATABASE & COLLECTION

M ONGODB CREATE DATABASE & COLLECTION Creating a Database To create a database in MongoDB, start by creating a MongoClient object, then specify a connection URL with the correct ip address and the name of the database you want to create. MongoDB will create the database if it does not exist, and make a connection to it. import pymongo myclient = pymongo.MongoClient("mongodb://localhost:27017/") mydb = myclient["mydatabase"] Important: In MongoDB, a database is not created until it gets content! MongoDB waits until you have created a collection (table), with at least one document (record) before it actually creates the database (and collection ). Check if Database Exists Remember: In MongoDB, a database is not created until it gets content, so if this is your first time creating a database, you should complete the next two chapters (create collection and create document) before you check if the database exists! You can check if a database e

PYTHON MONGODB

M ONGODB MongoDB MongoDB stores data in JSON-like documents, which makes the database very flexible and scalable. To be able to experiment with the code examples in this tutorial, you will need access to a MongoDB database. You can download a free MongoDB database at https://www.mongodb.com. Or get started right away with a MongoDB cloud service at https://www.mongodb.com/cloud/atlas. PyMongo Python needs a MongoDB driver to access the MongoDB database. In this tutorial we will use the MongoDB driver "PyMongo". We recommend that you use PIP to install "PyMongo". PIP is most likely already installed in your Python environment. Navigate your command line to the location of PIP, and type the following: Test PyMongo To test if the installation was successful, or if you already have "pymongo" installed, create a Python page with the following content: import pymongo If the above code was executed with no errors, "pymongo" is