search
HomeBackend DevelopmentPython TutorialPython operates PostgreSQL

Python operates PostgreSQL

Apr 04, 2018 pm 03:37 PM
postgresqlpythonoperate

This article introduces how to use Python to operate PostgreSQL. Now I will share it here. Friends in need can refer to it

Python to operate PostgreSQL

Prerequisite: User computer PostgreSQL database installed on

Install psycopg2 –> pip install psycopg2
1. psycopg2.connect(database="testdb", user="postgres", password="cohondob", host="127.0.0.1", port="5432") This API opens a connection to the PostgreSQL database. If the database is opened successfully, it returns a connection object. www.yiibai.com
2. connection.cursor() This program creates a cursor that will be used for the entire database using Python programming. yiibai.com
3. cursor.execute(sql [, optional parameters]) This routine executes SQL statements. SQL statements that can be parameterized (i.e. placeholders, not SQL literals). The module of psycopg2 supports placeholders marked with %s. yiibai.com For example: cursor.execute(“insert into people values ​​(%s, %s)”, (who, age))
4. curosr.executemany(sql, seq_of_parameters) This program executes SQL commands to map all parameter sequences or sql in the sequence. www.yiibai.com
5. curosr.callproc(procname[, parameters]) This program executes the storage database program with the given name. The program expects an entry for each argument, and the order of arguments must contain one.
6. Cursor.rowcount is a read-only property that returns the total number of rows in the database that have been modified, inserted or deleted by the last execute*().
7. Connection.commit() This method commits the current transaction. If you do not call this method, no matter what changes are made since the last call to commit(), they will not be visible from other database connections.
8. Connection.rollback() This method will roll back any changes to the database since the last time the commit() method was called.
9. connection.close() This method closes the database connection. Note that this does not automatically call commit(). If you just close the database connection without calling the commit() method first, then all changes will be lost! www.yiibai.com
10. cursor.fetchone() This method extracts the next row of the query result set, returning a sequence, or nothing when no more data is available.
11. Cursor.fetchmany([size=cursor.arraysize]) In this routine, the number of rows of the query result of the next group is taken out and a list is returned. When no record is found, an empty list is returned. This method attempts to obtain as many rows as possible within the displayed size parameter.
12. cursor.fetchall() This routine obtains all query result (remaining) rows and returns a list. If there is an empty row, an empty list is returned. www.yiibai.com

1. Connect to the database

import psycopg2  #导入相关模块
#传入参数 数据库名 用户名 用户密码 主机地址 端口
conn = psycopg2.connect(database="mybase", user="postgres", password="asd123456", host="127.0.0.1", port="5432")

print "Ok"

2. Create a table

import psycopg2

conn = psycopg2.connect(database="mybase", user="postgres", password="asd123456", host="127.0.0.1", port="5432")

cur = conn.cursor() #建立操作游标
#传入的参数是 SQL 建表语句
cur.execute('''CREATE TABLE COMPANY
       (ID INT PRIMARY KEY     NOT NULL,
       NAME           TEXT    NOT NULL,
       AGE            INT     NOT NULL,
       ADDRESS        CHAR(50),
       SALARY         REAL);''')
print "ok"

conn.commit()  #注意,只有commit一下才会生效
conn.close()

3. Insert data

import psycopg2

conn = psycopg2.connect(database="mybase", user="postgres", password="asd123456", host="127.0.0.1", port="5432")

cur = conn.cursor()

#让它ID自动生成
cur.execute("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY) VALUES ( 'Paul', 32, 'California', 20000.00 )");
#注意这里还可以返回插入数据的ID
results = cur.fetchone()
ID = results[0]  #返回插入的记录的id 便于后续操作

conn.commit()
conn.close()

4. Delete data

import psycopg2

conn = psycopg2.connect(database="mybase", user="postgres", password="asd123456", host="127.0.0.1", port="5432")

cur = conn.cursor()

cur.execute("DELETE from COMPANY where ID=2;")

conn.commit
conn.close()

5. Update data

import psycopg2

conn = psycopg2.connect(database="mybase", user="postgres", password="asd123456", host="127.0.0.1", port="5432")

cur = conn.cursor()

cur.execute("UPDATE COMPANY set SALARY = 25000.00 where ID=1")
conn.commit
conn.close()

6. Query data

import psycopg2

conn = psycopg2.connect(database="mybase", user="postgres", password="asd123456", host="127.0.0.1", port="5432")

cur = conn.cursor()

cur.execute("SELECT id, name, address, salary  from COMPANY")
rows = cur.fetchall() #这里返回查询的所有数据集
conn.close()

Related recommendations:

How to connect PostgreSQL database with Python

php uses PDO extension to connect to PostgreSQL object relational database

php to connect to postgreSql

The above is the detailed content of Python operates PostgreSQL. For more information, please follow other related articles on the PHP Chinese website!

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Reaching Your Python Goals: The Power of 2 Hours DailyReaching Your Python Goals: The Power of 2 Hours DailyApr 20, 2025 am 12:21 AM

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Maximizing 2 Hours: Effective Python Learning StrategiesMaximizing 2 Hours: Effective Python Learning StrategiesApr 20, 2025 am 12:20 AM

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Choosing Between Python and C  : The Right Language for YouChoosing Between Python and C : The Right Language for YouApr 20, 2025 am 12:20 AM

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python vs. C  : A Comparative Analysis of Programming LanguagesPython vs. C : A Comparative Analysis of Programming LanguagesApr 20, 2025 am 12:14 AM

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

2 Hours a Day: The Potential of Python Learning2 Hours a Day: The Potential of Python LearningApr 20, 2025 am 12:14 AM

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python vs. C  : Learning Curves and Ease of UsePython vs. C : Learning Curves and Ease of UseApr 19, 2025 am 12:20 AM

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.

Python vs. C  : Memory Management and ControlPython vs. C : Memory Management and ControlApr 19, 2025 am 12:17 AM

Python and C have significant differences in memory management and control. 1. Python uses automatic memory management, based on reference counting and garbage collection, simplifying the work of programmers. 2.C requires manual management of memory, providing more control but increasing complexity and error risk. Which language to choose should be based on project requirements and team technology stack.

Python for Scientific Computing: A Detailed LookPython for Scientific Computing: A Detailed LookApr 19, 2025 am 12:15 AM

Python's applications in scientific computing include data analysis, machine learning, numerical simulation and visualization. 1.Numpy provides efficient multi-dimensional arrays and mathematical functions. 2. SciPy extends Numpy functionality and provides optimization and linear algebra tools. 3. Pandas is used for data processing and analysis. 4.Matplotlib is used to generate various graphs and visual results.

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

MantisBT

MantisBT

Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

SAP NetWeaver Server Adapter for Eclipse

SAP NetWeaver Server Adapter for Eclipse

Integrate Eclipse with SAP NetWeaver application server.

MinGW - Minimalist GNU for Windows

MinGW - Minimalist GNU for Windows

This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

PhpStorm Mac version

PhpStorm Mac version

The latest (2018.2.1) professional PHP integrated development tool

VSCode Windows 64-bit Download

VSCode Windows 64-bit Download

A free and powerful IDE editor launched by Microsoft