Shulou(Shulou.com)06/01 Report--

This article introduces the knowledge of "what are the advantages and disadvantages of SQL adapters for Python projects". Many people will encounter this dilemma in the operation of actual cases, so let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

What is a database connector?

A database connector is a driver that works similar to connecting a software interface to an adapter implemented by a specific database vendor.

Why use the Python database connector?

The standard database interface for Python is Python DB-API. This interface only uses the MySQLdb module for MySQL. This module is independent of any other database engine, so we need to write a Python script to access any other database engine. However, this is not compatible with Python 3. So Python provides us with a Python database connector.

List of the first five Python SQL connectors 1. Pymysql

MySQL is the leading open source database management system. It is a multi-user, multi-thread database management system. MySQL is particularly popular in Web development work.

Installation and use

To install PyMySQL on your PC, run the following command:

Bash pip install pymysql

After installation, we can now test our database connector by running the following python code:

Import pymysqlcon = pymysql.connect ('localhost',' username', 'password',' db_name'') with con.cursor () as cur: cur.execute ('SELECT VERSION ()') version = cur.fetchone () print (f'Database version: {version [0]}') con.close () advantages

Most public API are compatible with mysqlclient and MySQLdb.

Python 2 and 3 are supported.

MySQL and MariaDB servers are supported.

Shortcoming

Low-level API provided by _ mysql, such as data_seek, store_result, and use_result, is not supported.

2. MySQL database

MySQLdb is a popular thread-compatible interface for MySQL database servers, providing Python database API.

Installation and use

To install the MySQLdb module, use the following command:

Bash# For Ubuntu, use the following command-sudo apt-get install python-pip python-dev libmysqlclient-dev# For Fedora, use the following command-sudo dnf install python python-devel mysql-devel redhat-rpm-config gcc#For Python command prompt, use the following command-pip install MySQL-python

To use this connector, run the following Python code:

From MySQLdb import _ mysqldb=_mysql.connect () db=_mysql.connect (host= "localhost", user= "username", passwd= "password", db= "db_name") advantages

Build in C, so it runs very fast.

Pure SQL.

MySQL is supported.

Shortcoming

Python 3 is not supported.

You are required to write SQL code.

You are required to manage cursors without any caching, parameterization, etc.

If you do not rewrite all the database code, you cannot switch to a different database backend.

3. QTSQL

QTSQL is a database connector for integrating databases with PYQT5 applications. It is important to note that QTSQL is mainly used for UI applications (after all, QT is a GUI toolkit).

Installation and use

QTSQL is pre-installed with PYQT5.

To import a module, use the following Python code:

From PyQt5 import QtSql

To connect to the database:

Self.QSqlDatabase.addDatabase ("QMYSQL") self.db.setHostName ("host_name") self.db.setDatabaseName ("database_name") self.db.setUserName ("username") self.db.setPassword ("password")

The first parameter in the QSqlDatabase.addDatabase code above is used to add drivers (for example, QPSQL, QMYSQL, QOCI, QODBC, QSQLITE, and so on). The next four commands setHostName (), setDatabaseName (), setUserName (), and setPassword () initialize the database connection. QSqlDatabase.open () is called to open the database and access it after initialization.

Advantages

Use only the Qt library.

It returns a Qt object, so it will integrate with Qt's standard widgets.

You can use any database backend (MySQL, SQLite) supported by Qt.

Shortcoming

I still need you to write SQL.

4. Psycopg2

Psycopg is the most popular PostgreSQL database adapter in the Python programming language. Its main feature is the complete implementation of the Python DB API 2.0 specification and thread safety (multiple threads can share the same connection). It is designed for a large number of multithreaded applications that create and destroy a large number of cursors and generate a large number of concurrent INSERTs or UPDATEs.

Installation and Guid

To install, run the following command:

Bash pip install psycopg2

After installation, run the following Python code to use:

Import psycopg2try: conn = psycopg2.connect ("dbname='template1' user='dbuser' host='localhost' password='dbpass'") except: print "I am unable to connect to the database" cur = conn.cursor () cur.execute ("" SELECT datname from pg_database ") advantages

Fast and efficient.

Multiple connections and connection objects are supported.

Asynchronous queries are supported.

Shortcoming

Lack of documentation.

5. Super SQLite

Supercharged SQLite libraries and drivers for Python. The library replaces the built-in SQLite package with a newer version of SQLite that is precompiled locally for each platform, as well as a locally precompiled SQLite extension.

Installation and Guid

To install, run the following command:

Bash pip install supersqlite

After installation, run the following Python code to use:

From supersqlite import sqlite3 conn = sqlite3.connect ('databasefile.db') advantages

Fast and efficient.

Remote streaming over HTTP.

Full-text search.

Shortcoming

There are no known shortcomings.

That's all for "what are the advantages and disadvantages of SQL adapters for Python projects?" Thank you for reading. If you want to know more about the industry, you can follow the website, the editor will output more high-quality practical articles for you!

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.