Lost connection to MySQL server during query - How to solve the MySQL error: disconnected from the MySQL server during query, specific code examples are required
In development and maintenance When using MySQL database, sometimes you will encounter an error message such as "Lost connection to MySQL server during query". This error means that the connection to the MySQL server was unexpectedly lost during the execution of a query. This article will introduce some common causes and ways to solve this problem, and also provide some specific code examples.
Before connecting to the database, you can set the connection timeout. Here is a sample code:
import mysql.connector config = { 'user': 'your_username', 'password': 'your_password', 'host': 'localhost', 'database': 'your_database', 'connection_timeout': 60 } conn = mysql.connector.connect(**config)
In the above code, the connection timeout is set to 60 seconds by setting connection_timeout
to 60 seconds.
Optimizing queries can be achieved by the following methods:
Increasing server resources can be achieved by the following methods:
The following is a sample code:
import mysql.connector config = { 'user': 'your_username', 'password': 'your_password', 'host': 'localhost', 'database': 'your_database', } # 尝试连接数据库 try: conn = mysql.connector.connect(**config) cursor = conn.cursor() # 执行查询操作 query = "SELECT * FROM your_table" cursor.execute(query) # 获取查询结果 result = cursor.fetchall() except mysql.connector.Error as error: # 连接被断开,重新连接 if error.errno == mysql.connector.errorcode.CR_SERVER_LOST: conn = mysql.connector.connect(**config) cursor = conn.cursor() # 重新执行查询操作 cursor.execute(query) result = cursor.fetchall() else: # 处理其他错误 print("Error: {}".format(error))
In the above code, when the connection is disconnected, the mysql.connector.Error
exception will be caught, And check whether error.errno
is equal to mysql.connector.errorcode.CR_SERVER_LOST
. If so, reconnect and execute the query operation.
Summary:
When the error "Lost connection to MySQL server during query" occurs, it is usually caused by the connection timeout, the query is too complex or the amount of data is too large, the database connection is closed or restarted, etc. of. This problem can be solved by increasing the connection timeout, optimizing queries, increasing server resources, and reconnecting to the database. Some specific code examples are provided above for reference.
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