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- Understanding MySQL Performance Schema for Deep Monitoring
- MySQL's PerformanceSchema can be used to monitor internal server status and performance data. 1. The methods of enabling and configuration include setting performance_schema=ON, turning on statement monitoring, etc.; 2. The most useful tables include events_statements_current, events_waits_current, file_summary_by_event_name, threads; 3. Analyzing SQL performance, you can locate slow SQL through fields such as query execution time and scan row count; 4. Pay attention to version differences, memory storage restrictions, table type differences and performance impact when using them. Master Pe
- Mysql Tutorial . Database 492 2025-07-28 01:05:11
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- MySQL Database Scalability Patterns with Sharding
- Sharding is a common solution for MySQL to deal with the challenge of large data volume. Its core is to split the data horizontally into multiple independent instances to improve processing power and storage capacity. 1. Sharding distributes data to multiple databases by user ID, time, hash or range; 2. Its advantages include more controllable performance, small impact range of failure, and improved throughput capabilities; 3. Challenges include complex cross-slice query, difficult transaction processing, and high migration and expansion costs; 4. Common response methods include the use of middleware to aggregate results, avoid cross-slice write operations, asynchronous compensation mechanism, and early planning of the number of shards; 5. Before deciding on shards, index optimization, cache, partitioning, read and write separation should be given priority; 6. Sharding needs to select appropriate strategies based on business characteristics, and combine middleware and operation.
- Mysql Tutorial . Database 545 2025-07-28 00:29:01
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- Securing MySQL for PCI DSS Compliance
- TosecureMySQLforPCIDSScompliance,implementstrongauthentication,encryptdataatrestandintransit,maintaindetailedlogs,andregularlypatchtheenvironment.First,enforcestrongpasswords,limituserprivileges,removedefaultaccounts,restricthostaccess,andusepluginsl
- Mysql Tutorial . Database 332 2025-07-28 00:14:40
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- Securing MySQL with Secure Coding Practices
- Protecting the security of MySQL databases requires four core coding practices: preventing SQL injection, the principle of least permissions, hiding sensitive information, using encrypted connections, and password policies. First, prevent SQL injection. Parameterized queries should be used instead of splicing SQL statements during development. The second is the principle of minimum permissions. Create a dedicated database account for the application and only allocate necessary permissions, such as only allowing access to specific databases or only giving SELECT permissions. The third is to hide sensitive information. The production environment should turn off detailed error prompts and return common errors in a unified manner to prevent the database structure from being exposed. Fourth, use encrypted connections and strong password policies, enable SSL/TLS connections, set at least 12 strong passwords containing multiple characters and change them regularly.
- Mysql Tutorial . Database 480 2025-07-28 00:13:51
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- Understanding MySQL Locking Mechanisms and Contention
- MySQL database slow response and transaction lag may be caused by lock contention; it can be solved by understanding the lock type and optimizing the usage. Table locks lock the entire table, which is suitable for scenarios that read more and write less; row locks lock specific rows, which is suitable for high concurrent write operations; but when SQL is not indexed, the row lock will degenerate into a table lock, causing contention. Optimization strategies include: reducing the amount of transaction operation data and avoiding complex logic, indexing commonly used query fields, and unifying transaction operation sequence to reduce deadlocks. To troubleshoot lock problems, you can use SHOWENGINEINNODBSTATUS, performance_schema.data_locks and other commands; at the same time, it is necessary to note that gap locks and key locks may expand the lock range, and SQL and transactions should be designed reasonably.
- Mysql Tutorial . Database 781 2025-07-27 02:38:22
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- Implementing MySQL Database Audit Logging Analysis
- MySQL audit log is used to record database operation behavior, which facilitates problem investigation and security compliance. 1. It records the actions performed by the user such as data changes, permission modification, etc.; 2. The importance is reflected in fault location and meeting compliance requirements; 3. The opening method includes using MariaDB or Percona plug-in, the steps are to configure my.cnf and load the plug-in; 4. Analysis methods include command line filtering, importing database query or visualization with ELK; 5. Precautions include log rotation, performance impact, permission control and log backup. Rational configuration can enable efficient and secure database audits.
- Mysql Tutorial . Database 763 2025-07-27 02:34:51
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- Securing MySQL with Network Segmentation and VLANs
- Network segmentation and VLAN can effectively improve MySQL security. 1. The network segmentation places the database on an independent subnet, restricting only authorized device access, preventing horizontal attacks, controlling traffic, and reducing attack surface; 2. VLAN realizes logical isolation, divides dedicated services and management access paths, and reduces broadcast storms and sniffing risks; 3. Implementation suggestions include rational planning of IP and subnets, configuring strict firewall rules, regular audit permissions, enabling encrypted communications and strengthening log monitoring.
- Mysql Tutorial . Database 891 2025-07-27 02:32:31
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- Understanding MySQL System Variables and Dynamic Configuration
- MySQL system variables are settings that affect server operations and are divided into global variables and session variables. 1. Global variables affect the entire instance, session variables only affect the current connection; 2. The variable value can be viewed through SHOWVARIABLES, and the running status can be viewed through SHOWSTATUS; 3. Common dynamic variables include max_connections, query_cache_type, tmp_table_size, etc., which can be modified at runtime; 4. Setting variables requires combining resources and load, gradually adjusting and monitoring the effect, and finally writing to the configuration file; 5. The variables that are easily ignored but are important are wait_timeout, table_open_cache, innodb
- Mysql Tutorial . Database 317 2025-07-27 02:26:41
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- Implementing MySQL Data Retention Policies
- The implementation of data retention strategies requires clarifying business needs and adopting appropriate cleaning mechanisms. 1. First determine the data retention period according to the business type, such as log classes are retained for 90 days and transaction records are saved for a long time; 2. Use partition tables in combination with automatic cleaning, partition according to time dimensions and quickly delete old data through DROPPARTITION; 3. Archive cold data, export to low-performance libraries or files and retain metadata; 4. Set TTL fields to cooperate with timing tasks to achieve simple and automatic deletion, and pay attention to batch execution to avoid locking tables. In addition, you should back up before deletion, avoid peak periods and pay attention to space recycling issues.
- Mysql Tutorial . Database 1017 2025-07-27 02:26:20
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- Implementing MySQL Point-in-Time Recovery on Cloud Platforms
- MySQL's real-time point recovery (PITR) is implemented through binary logs (binlog) on the cloud platform. 1. It is necessary to confirm that binlog is enabled and set to ROW format, and the retention period is adjusted according to needs; 2. Perform full backups regularly, such as using mysqldump, file snapshots or XtraBackup, and record the binlog location; 3. Obtain the binlog for the corresponding time period from the cloud platform during recovery, use mysqlbinlog to parse and apply it to the database; 4. It is recommended to combine automation tools and monitoring mechanisms to ensure the smooth execution of PITR.
- Mysql Tutorial . Database 561 2025-07-27 02:26:00
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- Securing MySQL with Application-Level Encryption
- The application layer encrypting MySQL data is an effective way to enhance data security. The core reason is that even if the database permissions are strictly controlled and SSL connections are used, MySQL may still become a security weakness. For example, database administrators can view the original data or drag the library to cause plain text leakage, and some cloud services do not support full encryption. Priority should be given to encrypting user-sensitive information, payment information and personal privacy content, but encrypted data cannot usually be used directly for querying. The implementation steps include: generating a key, encrypting data, storing encrypted data, and decrypting data. Notes include: The key should not be hard-coded. It is recommended to use environment variables or key management services. The encryption field should be of BLOB or TEXT type, and index needs should be considered. Limitations include: performance overhead, query limit, and key management
- Mysql Tutorial . Database 894 2025-07-27 02:23:21
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- Building a MySQL CI/CD Pipeline for Database Changes
- TobuildaCI/CDpipelineforMySQLdatabasechanges,firststoreschemaandmigrationsinversioncontrolusingnumberedSQLfilesortoolslikeLiquibase,thenautomatetestingagainstacleandatabaseinCIbyspinningupafreshMySQLinstanceandrunningallmigrationsfromscratchtoensurev
- Mysql Tutorial . Database 672 2025-07-27 02:18:01
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- Securing MySQL with Firewall Rules and Network Access Control
- MySQL security issues can be reinforced through firewall and access control. The specific steps include: 1. Turn off unnecessary external access, ensure that MySQL is only bound to the intranet IP, and restrict access to only specific IPs through the system firewall; 2. Use MySQL's own access control mechanism, specify the host that is allowed to connect when creating a user, avoid remote login with root and clean up accounts regularly; 3. When deploying a cloud platform, combine VPC and security groups to achieve network isolation, and restrict the database to be accessed only by the application server; 4. Turn on log monitoring abnormal connection attempts, and cooperate with fail2ban to automatically block suspicious IPs. These measures can effectively improve the network security of MySQL.
- Mysql Tutorial . Database 410 2025-07-27 02:16:21
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- Designing MySQL Databases for Event Logging Systems
- Designing an efficient event logging system requires starting from four aspects: primary key indexing, table structure, table partitioning, and data cleaning. 1. Avoid self-increasing ID, use UUID or SnowflakeID, and establish (user_id, created_at) and other combination indexes to optimize high-frequency queries; 2. Unified structured storage of basic fields, use JSON types to improve performance in extended fields, and moderate redundancy; 3. Split tables according to time level or use partition tables to improve scalability and optimize query efficiency; 4. Establish a data archiving mechanism, regularly clean or export old data to avoid DELETE operations affecting performance.
- Mysql Tutorial . Database 939 2025-07-27 02:13:20
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