🧚 주목! Beekeeper Studio는 빠르고 현대적이며 오픈 소스 데이터베이스 GUI입니다 다운로드
February 16, 2023 작성자: Matthew Rathbone

Introduction

SQLite is a self-contained, serverless, and zero-configuration SQL database engine that is ideal for small to medium-sized applications.

Installing the sqlite3 Module

To use SQLite in Python, you will first need to install the sqlite3 module. You can do this using the pip package manager by running the following command:

pip install sqlite3

Connecting to a Database

Once the sqlite3 module is installed, you can use it to connect to an existing SQLite database or create a new one. To create a new database, you can use the sqlite3.connect() function, which takes the name of the database file as an argument. If the database file does not exist, it will be created for you.

import sqlite3

# Connect to a new database or create one if it doesn't exist
conn = sqlite3.connect('mydatabase.db')

Creating a Table

To create a new table in the database, you can use the CREATE TABLE SQL command. For example, to create a table called employees with columns for the employee’s ID, name, and salary, you could use the following code:

cursor = conn.cursor()

cursor.execute('''
    CREATE TABLE employees (
        id INTEGER PRIMARY KEY,
        name TEXT,
        salary REAL
    )
''')

Inserting Data

To insert data into the table, you can use the INSERT INTO SQL command. For example, to insert a new employee into the employees table, you could use the following code:

cursor = conn.cursor()

cursor.execute('''
    INSERT INTO employees (id, name, salary)
    VALUES (?, ?, ?)
''', (1, 'John Smith', 75000))

Retrieving Data

Retrieving All Records

To retrieve data from the table, you can use the SELECT SQL command. For example, to retrieve all employees from the employees table, you could use the following code:

cursor = conn.cursor()

cursor.execute('''
    SELECT * FROM employees
''')

employees = cursor.fetchall()

for employee in employees:
    print(employee)

Filtering Records

You can also use the WHERE clause to filter the results of a SELECT query. For example, to retrieve only employees with a salary greater than $50,000, you could use the following code:

cursor = conn.cursor()

cursor.execute('''
    SELECT * FROM employees
    WHERE salary > 50000
''')

employees = cursor.fetchall()

for employee in employees:
    print(employee)

Updating Data

To update data in the table, you can use the UPDATE SQL command. For example, to give all employees a 10% raise, you could use the following code:

cursor = conn.cursor()

cursor.execute('''
    UPDATE employees
    SET salary = salary * 1.1
''')

Closing the Connection

When you’re finished with the connection you can close it like so:

conn.close()

Beekeeper Studio는 무료 & 오픈 소스 데이터베이스 GUI입니다

제가 사용해 본 최고의 SQL 쿼리 & 편집기 도구입니다. 데이터베이스 관리에 필요한 모든 것을 제공합니다. - ⭐⭐⭐⭐⭐ Mit

Beekeeper Studio는 빠르고 직관적이며 사용하기 쉽습니다. Beekeeper는 많은 데이터베이스를 지원하며 Windows, Mac, Linux에서 훌륭하게 작동합니다.

Beekeeper의 Linux 버전은 100% 완전한 기능을 갖추고 있으며, 기능 타협이 없습니다.

사용자들이 Beekeeper Studio에 대해 말하는 것

★★★★★
"Beekeeper Studio는 제 예전 SQL 워크플로를 완전히 대체했습니다. 빠르고 직관적이며 데이터베이스 작업을 다시 즐겁게 만들어 줍니다."
— Alex K., 데이터베이스 개발자
★★★★★
"많은 데이터베이스 GUI를 사용해 봤지만, Beekeeper는 기능과 단순함 사이의 완벽한 균형을 찾았습니다. 그냥 작동합니다."
— Sarah M., 풀스택 엔지니어

SQL 워크플로를 개선할 준비가 되셨나요?

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