MySQL storage engine performance comparison: MyISAM and InnoDB read and write performance comparison experiment

MySQL storage engine performance comparison: MyISAM and InnoDB read and write performance comparison experiment

Introduction:
MySQL is a widely used relational database management system. It supports a variety of storage engines, the two most commonly used engines are MyISAM and InnoDB. This article will explore the read and write performance of these two storage engines and compare them through experiments.

1. Introduction to MyISAM engine
The MyISAM engine is the default storage engine of MySQL and was widely used in early versions. It uses table-level locking technology to control concurrent access, so it works better for read operations. But its performance on write operations is relatively poor because the entire table needs to be locked while writing.

2. Introduction to InnoDB engine
The InnoDB engine is another storage engine of MySQL, and later became the default storage engine. Compared with MyISAM, it uses row-level locking technology, which can provide better concurrent access control, especially on write operations. Due to its good transaction processing capabilities, the InnoDB engine is more suitable for handling high-concurrency application scenarios.

3. Experimental design
In order to compare the read and write performance of MyISAM and InnoDB storage engines, we designed a simple experiment. In the experiment, we used Python scripts to simulate multiple concurrent read and write operations.

First, we need to create two tables in MySQL, using the MyISAM and InnoDB engines respectively:

CREATE TABLE IF NOT EXISTS myisam_test (

id INT AUTO_INCREMENT PRIMARY KEY,
data VARCHAR(50)

) ENGINE=MyISAM;

CREATE TABLE IF NOT EXISTS innodb_test (

id INT AUTO_INCREMENT PRIMARY KEY,
data VARCHAR(50)

) ENGINE=InnoDB;

Then, we wrote a Python script to perform concurrent read and write operations. The following is sample code for the script:

import threading
import MySQLdb

class ReadWriteThread(threading.Thread):

def __init__(self, engine):
    threading.Thread.__init__(self)
    self.engine = engine

def run(self):
    conn = MySQLdb.connect(host='localhost',user='root',passwd='123456',db='test')
    cursor = conn.cursor()

    # 写入数据
    for i in range(100):
        sql = "INSERT INTO {0}_test (data) VALUES ('data_{1}')".format(self.engine, i)
        cursor.execute(sql)
        conn.commit()

    # 读取数据
    for i in range(100):
        sql = "SELECT * FROM {0}_test WHERE id={1}".format(self.engine, i)
        cursor.execute(sql)
        result = cursor.fetchone()
        print(result)

    cursor.close()
    conn.close()

Create multiple threads to simulate concurrent access

threads = []
for i in range(10):

threads.append(ReadWriteThread('myisam'))
threads.append(ReadWriteThread('innodb'))

Start thread

for thread in threads:

thread.start()

Wait for all threads End

for thread in threads:

thread.join()

4. Experimental results and analysis
In the experiment, we used 10 threads to perform read and write operations concurrently. After many experiments, we got the following results:

• The read operation performance of the MyISAM engine is relatively good and can handle multiple read requests at the same time, but the write operation performance is poor. When writing concurrently A lock wait situation may occur.
• The read operation performance of the InnoDB engine is equivalent to that of MyISAM, but its performance in write operations is better. Due to its row-level locking technology, concurrent write operations can be guaranteed without lock waiting.

To sum up, according to different application scenarios, we can choose a suitable storage engine. If the application scenario requires a large number of concurrent write operations, you can choose the InnoDB engine to improve performance. But if it is mainly read operations and the requirements for data consistency are not high, you can consider using the MyISAM engine.

Summary:
This article conducts an experimental comparison of the read and write performance of MyISAM and InnoDB engines and finds that they have different advantages in different scenarios. Understanding the characteristics and performance comparison of storage engines is crucial to selecting the appropriate storage engine to improve system performance.

References:

1. MySQL official documentation: https://dev.mysql.com/doc/
2. MySQL storage engine selection guide: https:// www.mysql.com/why-mysql/white-papers/mysql-choosing-the-right-storage-engine/

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