Count the number of Documents in MongoDB using Python Last Updated : 12 Jul, 2022 Comments Improve Suggest changes Like Article Like Report MongoDB is a document-oriented NoSQL database that is a non-relational DB. MongoDB is a schema-free database that is based on Binary JSON format. It is organized with a group of documents (rows in RDBMS) called collection (table in RDBMS). The collections in MongoDB are schema-less. PyMongo is one of the MongoDB drivers or client libraries. Using the PyMongo module we can send requests and receive responses from Count the number of Documents using Python Method 1: Using count() The total number of documents present in the collection can be retrieved by using count() method. Deprecated in version 3.7. Syntax : db.collection.count() Example : Count the number of documents (my_data) in the collection using count(). Sample Database: Python3 from pymongo import MongoClient Client = MongoClient() myclient = MongoClient('localhost', 27017) my_database = myclient[& quot GFG & quot ] my_collection = my_database[& quot Student & quot ] # number of documents in the collection mydoc = my_collection.find().count() print(& quot The number of documents in collection : & quot , mydoc) Output : The number of documents in collection : 8 Method 2: count_documents() Alternatively, you can also use count_documents() function in pymongo to count the number of documents present in the collection. Syntax : db.collection.count_documents({query, option}) Example: Retrieves the documents present in the collection and the count of the documents using count_documents(). Python3 from pymongo import MongoClient Client = MongoClient() myclient = MongoClient('localhost', 27017) my_database = myclient[& quot GFG & quot ] my_collection = my_database[& quot Student & quot ] # number of documents in the collection total_count = my_collection.count_documents({}) print(& quot Total number of documents : & quot , total_count) Output: Total number of documents : 8 Comment More infoAdvertise with us Next Article Update all Documents in a Collection using PyMongo S soniyanagaraj30 Follow Improve Article Tags : Python Python-mongoDB Practice Tags : python Similar Reads Python MongoDB Tutorial MongoDB is a popular NoSQL database designed to store and manage data flexibly and at scale. Unlike traditional relational databases that use tables and rows, MongoDB stores data as JSON-like documents using a format called BSON (Binary JSON). 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MongoDB documents are similar to JSON objects but use a variant called Binary JSON (BSON) t 2 min read Create a database in MongoDB using PythonMongoDB is a general-purpose, document-based, distributed database built for modern application developers and the cloud. It is a document database, which means it stores data in JSON-like documents. This is an efficient way to think about data and is more expressive and powerful than the traditiona 2 min read Python MongoDB - BasicCreate a database in MongoDB using PythonMongoDB is a general-purpose, document-based, distributed database built for modern application developers and the cloud. It is a document database, which means it stores data in JSON-like documents. This is an efficient way to think about data and is more expressive and powerful than the traditiona 2 min read Insert and Update Data - Python MongoDBIn MongoDB, insertion refers to adding new documents into a collection, while updating allows modifying existing documents. These operations are essential for managing dynamic datasets. With PyMongo library in Python, users can perform these tasks efficiently by establishing a connection to the data 3 min read How to fetch data from MongoDB using Python?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 on 2 min read Python MongoDB - MethodPython MongoDB - distinct()distinct() method in MongoDB is used to retrieve all unique values for a specified field from a collection. In Python, you can use this method with PyMongo to filter out duplicates and get a list of distinct values across documents. This is helpful when you want to find all unique fields without rep 2 min read Python MongoDB- rename()rename() method in PyMongo is used to rename a collection within a MongoDB database. It allows you to change the name of an existing collection while keeping its data intact. This is useful for reorganizing or updating collection names without losing data.Syntaxcollection.rename(new_name, dropTarget 2 min read Python MongoDB - bulk_write()bulk_write() method in PyMongo is used to perform multiple write operations (like insert, update, or delete) in a single batch. It improves performance by reducing the number of round-trips between the application and the database. This method is especially useful for handling large datasets or grou 2 min read Python MongoDB - $group (aggregation)In PyMongo, the aggregate() method processes data through a pipeline of stages to produce aggregated results. 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It’s a powerful method when you need to make bulk updates to documents based on a shared field value or pattern.Syntaxcollection.update_many(filter,update,upsert=False,array 2 min read MongoDB Python - Insert and Replace OperationsIn PyMongo, document insertion and replacement are performed using insert_one(), insert_many() and replace_one(). These methods allow you to add new documents or completely replace existing ones based on a matching filter.Syntaxcollection.insert_one(document)collection.insert_many([document1, docume 2 min read MongoDB python | Delete Data and Drop CollectionIn MongoDB, deletion is key to efficient data management. PyMongo offers methods to delete a single document, multiple documents, all documents in a collection or the entire collection itself. Here's a quick overview of these techniques:1. Delete a single document: Use delete_one() to remove only th 2 min read Python Mongodb - Delete_one()Mongodb is a very popular cross-platform document-oriented, NoSQL(stands for "not only SQL") database program, written in C++. It stores data in JSON format(as key-value pairs), which makes it easy to use. MongoDB can run over multiple servers, balancing the load to keep the system up and run in cas 2 min read Python Mongodb - Delete_many()MongoDB is a general-purpose, document-based, distributed database built for modern application developers and the cloud. It is a document database, which means it stores data in JSON-like documents. This is an efficient way to think about data and is more expressive and powerful than the traditiona 2 min read Python MongoDB - FindMongoDB is a cross-platform document-oriented database program and the most popular NoSQL database program. The term NoSQL means non-relational. MongoDB stores the data in the form of key-value pairs. It is an Open Source, Document Database which provides high performance and scalability along with 3 min read Python MongoDB - find_one QueryIn PyMongo, the find_one() method is used to retrieve a single document from a MongoDB collection that matches the given filter. If multiple documents match, only the first match (based on insertion order) is returned.Syntaxcollection.find_one(filter, projection=None)Parameters:filter: (dict) Criter 2 min read Python MongoDB - find_one_and_update Queryfind_one_and_update() method in PyMongo is used to find a single document, update it, and return the original or updated document. This is useful when you need to both modify and retrieve a document in one operation. You define a filter to match the document and specify the update using operators li 2 min read Python MongoDB - find_one_and_delete queryfind_one_and_delete() method in PyMongo is used to find a single document, delete it and return the deleted document. 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This is helpful when you want results ranked by specific fields.Synt 2 min read Python MongoDB - distinct()distinct() method in MongoDB is used to retrieve all unique values for a specified field from a collection. In Python, you can use this method with PyMongo to filter out duplicates and get a list of distinct values across documents. This is helpful when you want to find all unique fields without rep 2 min read Python MongoDB - bulk_write()bulk_write() method in PyMongo is used to perform multiple write operations (like insert, update, or delete) in a single batch. It improves performance by reducing the number of round-trips between the application and the database. This method is especially useful for handling large datasets or grou 2 min read Python MongoDB - $group (aggregation)In PyMongo, the aggregate() method processes data through a pipeline of stages to produce aggregated results. 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The data that is exchanged between the Python applicatio 3 min read Working with Collections and documents in MongoDBHow to access a collection in MongoDB using Python?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. Accessing a Collection 1) Getting a list of collection: For getting a list of a MongoDB database's collections list_coll 2 min read Get the Names of all Collections using PyMongoPyMongo is the module used for establishing a connection to the MongoDB using Python and perform all the operations like insertion, deletion, updating, etc. PyMongo is the recommended way to work with MongoDB and Python. Note: For detailed information about Python and MongoDB visit MongoDB and Pyth 2 min read Drop Collection if already exists in MongoDB using PythonUsing drop() method we can drop collection if collection exists. If collection is not found then it returns False otherwise it returns True if collection is dropped. Syntax: drop() Example 1: The sample database is as follows:  Python3 import pymongo client = pymongo.MongoClient("mongodb://local 1 min read How to update data in a Collection using Python?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. Updating Data in MongoDB We can update data in a collection using update_one() method and update_many() method.  update 2 min read Get all the Documents of the Collection using PyMongoTo get all the Documents of the Collection use find() method. The find() method takes a query object as a parameter if we want to find all documents then pass none in the find() method. To include the field in the result the value of the parameter passed should be 1, if the value is 0 then it will b 1 min read Count the number of Documents in MongoDB using PythonMongoDB is a document-oriented NoSQL database that is a non-relational DB. MongoDB is a schema-free database that is based on Binary JSON format. It is organized with a group of documents (rows in RDBMS) called collection (table in RDBMS). The collections in MongoDB are schema-less. PyMongo is one o 2 min read Update all Documents in a Collection using PyMongoMongoDB is an open-source document-oriented database. MongoDB stores data in the form of key-value pairs and is a NoSQL database program. The term NoSQL means non-relational. PyMongo contains tools which are used to interact with the MongoDB database. Now let's see how to update all the documents in 3 min read Aggregation in MongoDB using PythonMongoDB is free, open-source,cross-platform and document-oriented database management system(dbms). 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It stores the value of a specific field or set of fields whic 2 min read How to create index for MongoDB Collection using Python?Creating indexes in MongoDB improves query performance, especially on large datasets. PyMongo, the official MongoDB driver for Python, provides the create_index() method to define indexes on specific fields. By default, MongoDB indexes the _id field, but adding custom indexes is important for optimi 2 min read Get all the information of a Collection's indexes using PyMongoIn PyMongo, retrieving index information is useful for understanding how queries are optimized and what constraints are applied to a collection. The index_information() method provides metadata about all indexes in a collection, including index names, fields, sort order and options such as uniquenes 2 min read Python MongoDB - drop_index QueryThe drop_index() library function in PyMongo is used to drop the index from a collection in the database, as the name suggests. In this article, we are going to discuss how to remove an index from a collection using our python application with PyMongo. Syntax: drop_index(index_or_name, session=None 3 min read How to Drop all the indexes in a Collection using PyMongo?In PyMongo, the drop_indexes() method is used to remove all non-default indexes from a collection. It helps developers clean up or reset indexing strategies, especially during optimization or testing. The method retains the default _id index, which cannot be dropped.Syntaxcollection.drop_indexes()No 2 min read How to rebuild all the indexes of a collection using PyMongo?Rebuilding indexes in a MongoDB collection helps optimize performance particularly after large write or update operations. In PyMongo, index rebuilding can be done using db.command() which is the recommended way to trigger index rebuilding in modern MongoDB versions. 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Functions like find() and find_one() returns the Cursor instance. Let's begin: Importing Required Modules: Import the required module using the command: from pymongo import MongoClient from 3 min read Python MongoDB-ExerciseHow to check if the PyMongo Cursor is Empty?MongoDB is an open source NOSQL database, and is implemented in C++. It is a document oriented database implementation that stores data in structures called Collections (group of MongoDB documents). PyMongo is a famous open source library that is used for embedded MongoDB queries. PyMongo is widely 2 min read How to fetch data from MongoDB using Python?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. 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