Centralized multi-thread backup MySQL method based on Python

Abstract

The invention belongs to the technical field of database management and data backup, and relates to a centralized multi-thread backup MySQL method based on a Python programming language. The invention provides a scheme for performing centralized parallel backup on a MySQL database by utilizing a Python multi-thread technology aiming at the problems of low efficiency and high error rate when an existing backup method is used for processing a large-scale database instance and a large data volume, and provides a scheme for performing centralized parallel backup on the MySQL database by utilizing a Python multi-thread technology. According to the method, through task segmentation and multi-thread scheduling, rapid backup of a plurality of instance large-data-volume database tables is achieved, and compression and encryption processing on backup files are supported. According to the scheme, the backup time can be remarkably shortened, the backup efficiency is improved, the security and integrity of the backup data are ensured, and the method is suitable for enterprise-level database management, cloud database backup and disaster recovery scenes.

Description

Technical Field

[0001] The present invention relates to the technical field of database management and data backup, and in particular to a method for centralized multi-threaded backup of a MySQL database based on the Python programming language. The method aims to improve the speed and efficiency of database backup and enhance the security of backup data through multi-threaded parallel processing technology, and is suitable for scenarios such as enterprise-level database management, cloud computing environments, and disaster recovery. Background Art

[0002] With the rapid development of information technology, data has become an important asset of enterprises, and database systems occupy a core position in enterprise informatization. However, with the increase in the size and complexity of databases, traditional backup methods are often inefficient and time-consuming when facing massive amounts of data. Traditional backup methods usually use a single-threaded sequential processing method. For large data backup tasks, the backup time is too long, the backup efficiency is low, and it is easy to cause performance bottlenecks due to system resource occupation. In addition, as data security issues are increasingly valued, the security of backup data during transmission and storage has also become a focus of attention for enterprises. Traditional backup methods often lack effective protection for backup data, and there is a risk of tampering or leakage of backup files during transmission and storage, which brings potential security risks to enterprises.

[0003] In order to solve the above problems, a new database backup method is urgently needed, which can improve backup efficiency, shorten backup time, and ensure data security during the backup process. Summary of the invention

[0004] The present invention aims to solve the problems of low backup efficiency, long backup time and insufficient data security in the prior art, and provides a method for centralized multi-threaded backup of MySQL database based on Python programming language.

[0005] The main technical solutions of the present invention include the following aspects:

[0006] The CMDB system maintains all MySQL instance information;

[0007] Unified scheduling server and MySQL server configuration for password-free login authentication;

[0008] Task segmentation and multi-thread scheduling: According to the MySQL instance scale, data volume, and table structure, the backup task queue is segmented into several subtasks. Each subtask corresponds to one or more instances or one or more tables. The system assigns these subtasks to multiple threads for execution.

[0009] Task initialization and configuration: Generate a backup task list based on the database connection information, backup path, backup type, backup parameters, compression method and encryption algorithm in the CMDB and the configuration entered by the user.

[0010] Data backup: call mysqldump or xtrabackup in each thread to perform logical backup of the database or table and generate corresponding backup files;

[0011] Backup file compression, encryption and MD5 verification: compress the generated backup files, encrypt the compressed files according to the encryption algorithm specified by the user to improve data security, and generate the backup file MD5 value;

[0012] Backup result storage and log recording: upload the backup file to the backup center, generate a log file containing the backup process, execution time, data volume, thread status and error information, and write the relevant log to the database. Administrators can view the backup results through the log file and conduct data audit and management.

[0013] Backup task monitoring and management: Through the monitoring platform, the execution status of multi-threaded backup tasks can be monitored in real time, and the integrity of the backup file upload can be verified.

[0014] The method of the present invention can significantly improve the efficiency of database backup, shorten the backup time, and ensure the security of backup data. It is suitable for application scenarios such as daily backup, disaster recovery, and data protection of large-scale databases. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to better understand the technical solution of the present invention, the technical content of the present invention is described in detail with reference to the following drawings:

[0016] Figure 1 These are the key points and main steps of the technical solution of the present invention.

[0017] Figure 2 This is a system architecture diagram for backing up MySQL database based on Python multi-threading. The diagram shows the composition of each module of the system and their relationship, including task configuration module, task segmentation and scheduling module, data backup module, compression and encryption module, storage and log management module, etc.

[0018] Figure 3 This is a flowchart of backup task allocation and thread scheduling. This diagram describes how to divide the backup task into multiple subtasks according to the data volume and complexity of the database table, and dynamically adjust the number of threads to optimize resource utilization and backup efficiency.

[0019] Figure 4This is a flowchart of the task monitoring and failure retry mechanism. This diagram shows the working principle of the real-time monitoring and failure retry mechanism during task execution, ensuring the stability and reliability of the backup task. DETAILED DESCRIPTION

[0020] In order to further illustrate the technical solution of the present invention, the implementation methods of the present invention are described in detail below in conjunction with specific embodiments.

[0021] Example 1: The CMDB system maintains all MySQL instance information. The user first maintains the connection information, backup path, backup type, compression method, encryption algorithm and other information of all MySQL databases in the CMDB. The system generates a backup task list based on the configuration entered by the user. The task list contains the database table information to be backed up, the target storage path, the backup file format, and the compression and encryption options. Users can customize different backup strategies, such as full backup or incremental backup, according to the actual situation of the database.

[0022] Example 2: Unified scheduling server and MySQL server configuration password-free login authentication First, configure the SSH server to allow public key and private key pairing authentication, then generate a public key on the client, and finally upload the client's public key to the server.

[0023] Embodiment 3: Task division and multi-thread scheduling. According to the MySQL instance scale, data volume and table structure, the backup task queue is divided into several subtasks, each subtask corresponds to one or more instances or one or more tables, and the system assigns these subtasks to multiple threads for execution.

[0024] Example 4: Data backup. After task segmentation and scheduling are completed, each thread calls the mysqldump tool or xtrabackup to perform a logical backup of the database. When performing a backup, each thread can independently process the data table it is responsible for and generate a corresponding backup file. For very large data tables, the system supports sharding, splitting the large table into multiple data blocks according to the data volume and backing them up separately to further improve the backup efficiency.

[0025] Example 5: Compression and encryption of backup files. The system compresses the generated backup files. The user can select a suitable compression algorithm, such as gzip or bzip2. After compression, the system encrypts the backup files according to the encryption algorithm specified by the user (such as AES or RSA). The encrypted backup files have high security and can effectively prevent data leakage or tampering during transmission and storage. Calculate MD5 for the encrypted files to confirm the correctness and integrity of the files uploaded to the backup center.

[0026] Example 6: Backup result storage and log management. After the backup task is completed, the system stores the encrypted backup file in the backup center. In order to facilitate subsequent management and auditing, the system generates a detailed backup log file. The log file records the execution of each backup task, including the start time, end time, number of threads executed, amount of data processed, and possible error messages of the backup. Some important information is written to the database. The administrator can view the detailed information of the backup through the log and database and conduct data audit.

[0027] Example 7: Task monitoring and failure retry mechanism. In order to ensure the smooth progress of the backup task, in this example, a self-built monitoring platform is used to monitor the execution status of multi-threaded backup tasks in real time. Administrators can view the backup progress, thread status, and system resource usage through a graphical interface. During the task execution process, if the backup task of a thread fails, the system will automatically retry according to the preset strategy to ensure the integrity and stability of the task. This function is particularly suitable for complex production environments and can effectively improve the reliability of backup.

[0028] Embodiment 8: Flexible expansion and compatibility. The implementation of the present invention adopts a modular design, and each functional module can be expanded and modified according to actual needs. For example, users can easily add new compression algorithms or encryption algorithms, or integrate the method of the present invention into existing database management tools. In addition, the system design has strong compatibility, supports multiple operating systems and database versions, and has wide adaptability.

[0029] Through the description of the above implementation methods, the MySQL backup method based on Python centralized multi-threading described in the present invention can significantly improve the efficiency of database backup, shorten the backup time, and ensure the security of backup data. The method has wide applicability and good scalability in practical applications, and can meet the needs of enterprise-level database backup.

Claims

1. A method for centralized multi-threaded backup of MySQL database based on Python programming language, characterized in that: The method comprises the following steps: Step 1: The CMDB system maintains all MySQL instance information; Step 2: Unify the scheduling server and MySQL server configurations for password-free login authentication; Step 3: Initialize the backup task and generate a backup task queue based on the database connection information, backup path, and backup parameters in the CMDB; Step 4: Task division and thread allocation: divide the backup task queue into several subtasks according to the MySQL instance scale, data volume, and table structure, and assign them to multiple threads for execution to achieve parallel backup. Step 5: Data backup: call mysqldump or xtrabackup in each thread to perform a logical backup of the database or table and generate the corresponding backup file. Step 6: Backup file compression, encryption and MD5 verification. Compress the generated backup file and encrypt the compressed file according to the encryption algorithm specified by the user to improve data security, and generate the backup file MD5 value; Step 7: Backup result storage and log recording: upload the backup file to the backup center, generate a log file containing the backup process, execution time, data volume, thread status and error information, and write the relevant log to the database; Step 8: Backup task monitoring and management: Through the monitoring platform, the execution status of multi-threaded backup tasks can be monitored in real time, and the integrity of the backup file upload can be verified.

2. The method for centralized multi-threaded backup of MySQL database based on Python programming language according to claim 1, characterized in that: In the task division and thread allocation step, the backup tasks are allocated according to the data volume and complexity of the database table, and larger tables or key tables are preferentially allocated more threads to optimize the backup speed.

3. The method for centralized multi-threaded backup of MySQL database based on Python programming language according to claim 1, characterized in that: The method also includes an exception handling mechanism, which automatically records error logs and attempts to retry operations in response to problems such as connection interruption, insufficient permissions or insufficient disk space that may occur during the backup process.

4. The method for centralized multi-threaded backup of MySQL database based on Python programming language according to any one of claims 1 to 3, characterized in that: The data backup step supports two modes: full backup and incremental backup. Users can select a suitable backup mode according to the backup strategy to reduce backup time and storage space usage.

5. The method for centralized multi-threaded backup of MySQL database based on Python programming language according to any one of claims 1 to 4, characterized in that: In the backup file compression and encryption step, multiple compression algorithms (such as gzip, bzip2) and encryption algorithms (such as AES, RSA) are supported, and users can configure them according to data security requirements.

6. The method for centralized multi-threaded backup of MySQL database based on Python programming language according to any one of claims 1 to 5, characterized in that: The method has a log management function, can record detailed logs of each backup task according to threads, and generate summary reports for system administrators to review backup results and diagnose problems.

7. The method for centralized multi-threaded backup of MySQL database based on Python programming language according to any one of claims 1 to 6, characterized in that: The method supports a distributed backup architecture, can centrally manage the backup tasks of multiple database nodes, and simultaneously back up data of different nodes in a multi-threaded manner, thereby improving backup efficiency.

8. The method for centralized multi-threaded backup of MySQL database based on Python programming language according to any one of claims 1 to 7, characterized in that: The method supports integration with cloud storage services (such as AWS S3, ALI OSS). After the backup files are stored locally, they can be automatically uploaded to cloud storage or backup centers, and support remote decryption and recovery operations.

9. The method for centralized multi-threaded backup of MySQL database based on Python programming language according to any one of claims 1 to 8, characterized in that: The method can set the number of threads, backup path, compression method, encryption options, etc. through a configuration file or command line parameters, and users can flexibly adjust to meet different backup requirements.

10. The method for centralized multi-threaded backup of MySQL database based on Python programming language according to any one of claims 1 to 9, characterized in that: The method ensures data consistency through synchronization and locking mechanisms during the backup process, thereby avoiding data inconsistency or data corruption during multi-threaded backup.

11. The method for centralized multi-threaded backup of MySQL database based on Python programming language according to any one of claims 1 to 10, characterized in that: The method can be seamlessly integrated with an existing database management system, and can realize automated and centralized management of backup tasks through API calls or plug-in extensions.

12. The method for centralized multi-threaded backup of MySQL database based on Python programming language according to any one of claims 1 to 11, characterized in that: The method supports automatically executing integrity verification of the backup file after the backup is completed, and uses the verification MD5 value to detect whether the backup file is damaged or data is lost, thereby ensuring the reliability of the backup data.

13. The method for centralized multi-threaded backup of MySQL database based on Python programming language according to any one of claims 1 to 12, characterized in that: The method can schedule backup tasks regularly and automatically trigger backup operations through scheduled tasks or planned tasks. It is suitable for daily backup and emergency backup needs and supports multiple scheduling strategies (such as daily, weekly, and monthly).

14. The method for centralized multi-threaded backup of MySQL database based on Python programming language according to any one of claims 1 to 13, characterized in that: The method reduces the time consumption of a single backup operation through parallel processing, is particularly suitable for large databases and environments with large data volumes, and greatly improves backup efficiency while ensuring the integrity of backup data.

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