GV

GeezerVison

The World Wide Web, restored to 800 pixels of glory.

Home|About|Gaming cabinet|Archives|How it works|Starter sites

On this site

  • Python Technologies
  • Databases
  • Computer Programming
  • Web Development
  • Java Technologies
  • Computer Science
  • Mobile Development
  • Big Data & Analytics
  • Microsoft Technologies
  • DevOps
  • Latest Technologies
  • Machine Learning
  • Digital Marketing
  • Software Quality

This view

  • Original page
  • New address

GeezerVison is showing www.tutorialspoint.com — Python SQLite cursor.fetchmany() Function

Python Tutorial
  • Python - Home
  • Python - Overview
  • Python - History
  • Python - Features
  • Python vs C++
  • Python - Hello World Program
  • Python - Application Areas
  • Python - Interpreter
  • Python - Environment Setup
  • Python - Virtual Environment
  • Python - Basic Syntax
  • Python - Variables
  • Python - Private Variables
  • Python - Data Types
  • Python - Type Casting
  • Python - Unicode System
  • Python - Literals
  • Python - Operators
  • Python - Arithmetic Operators
  • Python - Comparison Operators
  • Python - Assignment Operators
  • Python - Logical Operators
  • Python - Bitwise Operators
  • Python - Membership Operators
  • Python - Identity Operators
  • Python - Walrus Operator
  • Python - Operator Precedence
  • Python - Comments
  • Python - User Input
  • Python - Numbers
  • Python - Booleans
  • Python - Floating Points
  • Python - Control Flow
  • Python - Decision Making
  • Python - If Statement
  • Python - If else
  • Python - Nested If
  • Python - Conditional User Inputs
  • Python - Match-Case Statement
  • Python - Loops
  • Python - for Loops
  • Python - for-else Loops
  • Python - While Loops
  • Python - break Statement
  • Python - continue Statement
  • Python - pass Statement
  • Python - Nested Loops
  • Python Functions & Modules
  • Python - Functions
  • Python - Default Arguments
  • Python - Keyword Arguments
  • Python - Keyword-Only Arguments
  • Python - Positional Arguments
  • Python - Positional-Only Arguments
  • Python - Arbitrary Arguments
  • Python - Variables Scope
  • Python - Function Annotations
  • Python - Modules
  • Python - Packing and Unpacking
  • Python - Built in Functions
  • Python Strings
  • Python - Strings
  • Python - Slicing Strings
  • Python - Modify Strings
  • Python - String Concatenation
  • Python - String Formatting
  • Python - Escape Characters
  • Python - String Methods
  • Python - String Exercises
  • Python Lists
  • Python - Lists
  • Python - Access List Items
  • Python - Change List Items
  • Python - Add List Items
  • Python - Remove List Items
  • Python - Loop Lists
  • Python - List Comprehension
  • Python - Sort Lists
  • Python - Copy Lists
  • Python - Join Lists
  • Python - List Methods
  • Python - List Exercises
  • Python Tuples
  • Python - Tuples
  • Python - Access Tuple Items
  • Python - Update Tuples
  • Python - Unpack Tuples
  • Python - Loop Tuples
  • Python - Join Tuples
  • Python - Tuple Methods
  • Python - Namedtuple
  • Python - Tuple Exercises
  • Python Sets
  • Python - Sets
  • Python - Access Set Items
  • Python - Add Set Items
  • Python - Remove Set Items
  • Python - Loop Sets
  • Python - Join Sets
  • Python - Copy Sets
  • Python - Set Operators
  • Python - Set Methods
  • Python - Set Exercises
  • Python Dictionaries
  • Python - Dictionaries
  • Python - Access Dictionary Items
  • Python - Change Dictionary Items
  • Python - Add Dictionary Items
  • Python - Remove Dictionary Items
  • Python - Dictionary View Objects
  • Python - Loop Dictionaries
  • Python - Copy Dictionaries
  • Python - Nested Dictionaries
  • Python - Dictionary Methods
  • Python - Dictionary Exercises
  • Python Arrays
  • Python - Arrays
  • Python - Access Array Items
  • Python - Add Array Items
  • Python - Remove Array Items
  • Python - Loop Arrays
  • Python - Copy Arrays
  • Python - Reverse Arrays
  • Python - Sort Arrays
  • Python - Join Arrays
  • Python - Array Methods
  • Python - Array Exercises
  • Python File Handling
  • Python - File Handling
  • Python - Write to File
  • Python - Read Files
  • Python - Renaming and Deleting Files
  • Python - Directories
  • Python - File Methods
  • Python - OS File/Directory Methods
  • Python - OS Path Methods
  • Object Oriented Programming
  • Python - OOPs Concepts
  • Python - Classes & Objects
  • Python - Class Attributes
  • Python - Class Methods
  • Python - Static Methods
  • Python - Constructors
  • Python - Access Modifiers
  • Python - Inheritance
  • Python - Multiple Inheritance
  • Python - Multilevel Inheritance
  • Python - Polymorphism
  • Python - Method Overriding
  • Python - Method Overloading
  • Python - Dynamic Binding
  • Python - Dynamic Typing
  • Python - Abstraction
  • Python - Encapsulation
  • Python - Interfaces
  • Python - Packages
  • Python - Inner Classes
  • Python - Anonymous Class and Objects
  • Python - Singleton Class
  • Python - Wrapper Classes
  • Python - Enums
  • Python - Reflection
  • Python - Data Classes
  • Python Errors & Exceptions
  • Python - Syntax Errors
  • Python - Exceptions
  • Python - try-except Block
  • Python - try-finally Block
  • Python - Raising Exceptions
  • Python - Exception Chaining
  • Python - Nested try Block
  • Python - User-defined Exception
  • Python - Logging
  • Python - Assertions
  • Python - Warnings
  • Python - Built-in Exceptions
  • Python - Debugger (PDB)
  • Python Multithreading
  • Python - Multithreading
  • Python - Thread Life Cycle
  • Python - Creating a Thread
  • Python - Starting a Thread
  • Python - Joining Threads
  • Python - Naming Thread
  • Python - Thread Scheduling
  • Python - Thread Pools
  • Python - Main Thread
  • Python - Thread Priority
  • Python - Daemon Threads
  • Python - Synchronizing Threads
  • Python Synchronization
  • Python - Inter-thread Communication
  • Python - Thread Deadlock
  • Python - Interrupting a Thread
  • Python Networking
  • Python - Networking
  • Python - Socket Programming
  • Python - URL Processing
  • Python - Generics
  • Python Libraries
  • NumPy Tutorial
  • Pandas Tutorial
  • SciPy Tutorial
  • Matplotlib Tutorial
  • Django Tutorial
  • OpenCV Tutorial
  • Python Miscellenous
  • Python - Date & Time
  • Python - Maths
  • Python - Iterators
  • Python - Generators
  • Python - Generator Expressions
  • Python - Lambda Expressions
  • Python - Closures
  • Python - Decorators
  • Python - Recursion
  • Python - Reg Expressions
  • Python - PIP
  • Python - Database Access
  • Python - Weak References
  • Python - Serialization
  • Python - Templating
  • Python - Output Formatting
  • Python - Performance Measurement
  • Python - Data Compression
  • Python - CGI Programming
  • Python - XML Processing
  • Python - GUI Programming
  • Python - Command-Line Arguments
  • Python - Docstrings
  • Python - JSON
  • Python - Sending Email
  • Python - Further Extensions
  • Python - Tools/Utilities
  • Python - Odds and Ends
  • Python - GUIs
  • Python Advanced Concepts
  • Python - Abstract Base Classes
  • Python - Custom Exceptions
  • Python - Higher Order Functions
  • Python - Object Internals
  • Python - Memory Management
  • Python - Metaclasses
  • Python - Metaprogramming with Metaclasses
  • Python - Mocking and Stubbing
  • Python - Monkey Patching
  • Python - Signal Handling
  • Python - Type Hints
  • Python - Automation Tutorial
  • Python - Humanize Package
  • Python - Context Managers
  • Python - Coroutines
  • Python - Descriptors
  • Python - Diagnosing and Fixing Memory Leaks
  • Python - Immutable Data Structures
  • Python - Domain Specific Language (DSL)
  • Python - Data Model
  • Python Useful Resources
  • Python - Questions & Answers
  • Python - Interview Questions & Answers
  • Python - Online Quiz
  • Python - Quick Guide
  • Python - Reference
  • Python - Cheatsheet
  • Python - Projects
  • Python - Useful Resources
  • Python - Discussion
  • Python Compiler
  • NumPy Compiler
  • Matplotlib Compiler
  • SciPy Compiler
Selected Reading
  • UPSC IAS Exams Notes
  • Developer's Best Practices
  • Questions and Answers
  • Online Resume Builder
  • HR Interview Questions
  • Computer Glossary
  • Who is Who

Python SQLite cursor.fetchmany() Function



Previous
Quiz
Next

The python cursor.fetchmany() function fetches the next rows of a database. This function returns an empty list when there are no rows available. It retrieves to fetch as many rows as are available.

A cursor is an object that is used to interact with the database. This function allows us to execute SQL queries. It returns tuples representing a row. A Cursor is used for executing commands and retrieving query results.

Syntax

Following is the basic syntax for the cursor.fetchmany() function.

cursor.fetchmany(size = cursor.arraysize)

Parameters

The size of the parameter determines the number of rows to retrieve.

Return Value

This function returns a list of tuples; each tuple represents a row from the dataset. If there are less number of rows available then this function will return only the specified rows.

Example

Consider the following EMPLOYEES table which stores employees ID, Name, Age, Salary, City and Country −

ID Name Age Salary City Country
1 Ramesh 32 2000.00 Maryland USA
2 Mukesh 40 5000.00 New York USA
3 Sumit 45 4500.00 Muscat Oman
4 Kaushik 25 2500.00 Kolkata India
5 Hardik 29 3500.00 Bhopal India
6 Komal 38 3500.00 Saharanpur India
7 Ayush 25 3500.00 Delhi India

Example 1

Consider the above example of fetching the number of rows at a time using cursor.fetchmany() function.

cursor.execute("SELECT * FROM employees")
rows = cursor.fetchmany(size = 2)
for row in rows:
    print(row)

Output

The result is obtained as follows −

ID Name Age Salary City Country
1 Ramesh 32 2000.00 Maryland USA
2 Mukesh 40 5000.00 New York USA

Example 2

In the example below, we are going to fetch specified rows with particular columns using cursor.fetchmany() function.

cursor.execute("SELECT Name, City FROM employees)
rows = cursor.fetchmany(size = 3)
for row in rows:
    print(row)

Output

We will get the output as follows −

Name City
Ramesh Maryland
Mukesh New York
Sumit Muscat

Example 3

In the below example, we are fetching all columns from the employee table where the country is 'India' using cursor.fetchmany() function.

cursor.execute("SELECT * FROM employees WHERE country = 'India'")
rows = cursor.fetchmany(size = 4)
for row in rows:
    print(row)

Output

The result is generated as follows −

ID Name Age Salary City Country
4 Kaushik 25 2500.00 Kolkata India
5 Hardik 29 3500.00 Bhopal India
6 Komal 38 3500.00 Saharanpur India
7 Ayush 25 3500.00 Delhi India
python_modules.htm
Tutorix - AI Tutor
Previous Quiz Next
Advertisements
You are visitor 01402520 — GeezerVison does not store the pages you look up.
Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required.