
- Python Data Access Tutorial
- Python Data Access - Home
- Python MySQL
- Python MySQL - Introduction
- Python MySQL - Database Connection
- Python MySQL - Create Database
- Python MySQL - Create Table
- Python MySQL - Insert Data
- Python MySQL - Select Data
- Python MySQL - Where Clause
- Python MySQL - Order By
- Python MySQL - Update Table
- Python MySQL - Delete Data
- Python MySQL - Drop Table
- Python MySQL - Limit
- Python MySQL - Join
- Python MySQL - Cursor Object
- Python PostgreSQL
- Python PostgreSQL - Introduction
- Python PostgreSQL - Database Connection
- Python PostgreSQL - Create Database
- Python PostgreSQL - Create Table
- Python PostgreSQL - Insert Data
- Python PostgreSQL - Select Data
- Python PostgreSQL - Where Clause
- Python PostgreSQL - Order By
- Python PostgreSQL - Update Table
- Python PostgreSQL - Delete Data
- Python PostgreSQL - Drop Table
- Python PostgreSQL - Limit
- Python PostgreSQL - Join
- Python PostgreSQL - Cursor Object
- Python SQLite
- Python SQLite - Introduction
- Python SQLite - Establishing Connection
- Python SQLite - Create Table
- Python SQLite - Insert Data
- Python SQLite - Select Data
- Python SQLite - Where Clause
- Python SQLite - Order By
- Python SQLite - Update Table
- Python SQLite - Delete Data
- Python SQLite - Drop Table
- Python SQLite - Limit
- Python SQLite - Join
- Python SQLite - Cursor Object
- Python MongoDB
- Python MongoDB - Introduction
- Python MongoDB - Create Database
- Python MongoDB - Create Collection
- Python MongoDB - Insert Document
- Python MongoDB - Find
- Python MongoDB - Query
- Python MongoDB - Sort
- Python MongoDB - Delete Document
- Python MongoDB - Drop Collection
- Python MongoDB - Update
- Python MongoDB - Limit
- Python Data Access Resources
- Python Data Access - Quick Guide
- Python Data Access - Useful Resources
- Python Data Access - Discussion
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Python MongoDB - Limit
While retrieving the contents of a collection you can limit the number of documents in the result using the limit() method. This method accepts a number value representing the number of documents you want in the result.
Syntax
Following is the syntax of the limit() method −
>db.COLLECTION_NAME.find().limit(NUMBER)
Example
Assume we have created a collection and inserted 5 documents into it as shown below −
> use testDB switched to db testDB > db.createCollection("sample") { "ok" : 1 } > data = [ ... {"_id": "1001", "name": "Ram", "age": "26", "city": "Hyderabad"}, ... {"_id": "1002", "name": "Rahim", "age": 27, "city": "Bangalore"}, ... {"_id": "1003", "name": "Robert", "age": 28, "city": "Mumbai"}, ... {"_id": "1004", "name": "Romeo", "age": 25, "city": "Pune"}, ... {"_id": "1005", "name": "Sarmista", "age": 23, "city": "Delhi"}, ... {"_id": "1006", "name": "Rasajna", "age": 26, "city": "Chennai"} ] > db.sample.insert(data) BulkWriteResult({ "writeErrors" : [ ], "writeConcernErrors" : [ ], "nInserted" : 6, "nUpserted" : 0, "nMatched" : 0, "nModified" : 0, "nRemoved" : 0, "upserted" : [ ] })
Following line retrieves the first 3 documents of the collection.
> db.sample.find().limit(3) { "_id" : "1001", "name" : "Ram", "age" : "26", "city" : "Hyderabad" } { "_id" : "1002", "name" : "Rahim", "age" : 27, "city" : "Bangalore" } { "_id" : "1003", "name" : "Robert", "age" : 28, "city" : "Mumbai" }
Limiting the documents using python
To restrict the results of a query to a particular number of documents pymongo provides the limit() method. To this method pass a number value representing the number of documents you need in the result.
Example
Following example retrieves first three documents in a collection.
from pymongo import MongoClient #Creating a pymongo client client = MongoClient('localhost', 27017) #Getting the database instance db = client['l'] #Creating a collection coll = db['myColl'] #Inserting document into a collection data = [ {"_id": "1001", "name": "Ram", "age": "26", "city": "Hyderabad"}, {"_id": "1002", "name": "Rahim", "age": "27", "city": "Bangalore"}, {"_id": "1003", "name": "Robert", "age": "28", "city": "Mumbai"}, {"_id": "1004", "name": "Romeo", "age": 25, "city": "Pune"}, {"_id": "1005", "name": "Sarmista", "age": 23, "city": "Delhi"}, {"_id": "1006", "name": "Rasajna", "age": 26, "city": "Chennai"} ] res = coll.insert_many(data) print("Data inserted ......") #Retrieving first 3 documents using the find() and limit() methods print("First 3 documents in the collection: ") for doc1 in coll.find().limit(3): print(doc1)
Output
Data inserted ...... First 3 documents in the collection: {'_id': '1001', 'name': 'Ram', 'age': '26', 'city': 'Hyderabad'} {'_id': '1002', 'name': 'Rahim', 'age': '27', 'city': 'Bangalore'} {'_id': '1003', 'name': 'Robert', 'age': '28', 'city': 'Mumbai'}
Advertisements