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- Implementing MySQL Database DR Drills
- Disaster recovery drills need to clarify goals, prepare the environment, perform observations, analyze and optimize. 1. Clarify the verification targets such as main library downtime switching, data consistency, application connection, time-consuming, etc. and select failure scenarios. 2. In the off-peak preparation drill environment, ensure normal replication, consistent configuration, complete backups and formulate a rollback plan. 3. Observe master-slave delay, data consistency, switching time, log output, client behavior and tool logic during execution. 4. After the drill, the analysis results form report update monitoring, scripts, documents, contacts and other continuous optimization processes to improve reliability.
- Mysql Tutorial . Database 388 2025-07-26 07:09:51
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- MySQL Database Cost Optimization Strategies
- MySQL database cost optimization mainly revolves around resource utilization and performance efficiency. 1. Reasonably select cloud service packages, select appropriate configurations by monitoring load conditions, give priority to memory instances and use reserved instances to save costs; 2. Optimize query and index design, avoid SELECT*, reasonably use combined indexes, and regularly analyze slow query logs; 3. Implement data archiving and database sub-table strategies, move cold data to low-cost storage, and perform horizontal sub-tables to reduce single-node pressure if necessary; 4. Use cache to reduce database pressure, cache hotspot data through Redis, reduce the number of connections and requests, and improve system stability. Continuous observation and gradual adjustment are the key to achieving long-term cost control.
- Mysql Tutorial . Database 734 2025-07-26 07:07:31
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- Understanding MySQL temporary table usage and performance
- A MySQL temporary table is a table that is only visible in the current session and automatically deleted after the session is over. It is suitable for storing intermediate results to optimize complex queries. It is similar to ordinary tables, but does not write to disk (unless the amount of data is large). Common scenarios include cached intermediate results, avoiding duplicate subqueries, and simplifying JOIN operations; its life cycle is limited to the current connection, and different connections do not affect each other even if the same name is the same; performance impact mainly includes the overhead of disk switching, frequent creation and deletion, and the lack of index reduction efficiency; it is recommended to control the data scale, add necessary indexes, and avoid repeated creation in loops; in terms of usage, temporary tables are suitable for large intermediate sets with multiple references, while subqueries are suitable for simple one-time operations, while CTE pays more attention to readability but may not be efficient.
- Mysql Tutorial . Database 423 2025-07-26 07:05:11
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- Understanding MySQL Binary Log Formats and Their Impact
- MySQL binary logs are available in three formats: STATEMENT, ROW and MIXED. 1. The STATEMENT format records the SQL statement itself, which is suitable for scenarios with simple logic and sensitive to disk space, but may cause master-slave inconsistency due to non-deterministic functions; 2. The ROW format records specific changes in each line to ensure data consistency, and is suitable for high-precision requirements scenarios, but the large log volume affects performance; 3. The MIXED format automatically switches the first two, and achieves a balance between log size and consistency, which is suitable for use in uncertain situations. Performance, consistency and log management costs should be weighed according to business needs when choosing.
- Mysql Tutorial . Database 939 2025-07-26 07:04:30
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- Understanding MySQL GTID Based Replication
- GTID is the global unique transaction identifier used for master-slave replication in MySQL, and the format is source_id:transaction_id, where source_id is the server UUID and transaction_id is the transaction number. To enable GTID replication, you need to set gtid_mode=ON and enforce_gtid_consistency, and use mysqldump with --set-gtid-purged=ON parameters to export data. When creating a copy user, specify MASTER_AUTO_POSITION=1. Frequently asked questions include inconsistent GTID sets caused by wrong transactions, replication delays, and GTID disconnections.
- Mysql Tutorial . Database 524 2025-07-26 07:02:40
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- Securing MySQL Audit Logging for Compliance
- MySQL audit logs can be enabled and configured via plug-ins to meet compliance requirements. 1. After confirming that the version supports, install the plug-in and enable it in the configuration file; 2. Set the JSON format and independent log file path; 3. Select audit policies as needed, such as recording all operations, login behaviors or query statements, and filtering specific users or databases; 4. Protect log integrity through log rotation, remote storage and only append permissions.
- Mysql Tutorial . Database 662 2025-07-26 06:54:12
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- MySQL Database Capacity Planning and Growth Projections
- Capacity planning needs to be combined with data growth, business rhythm and hardware resources. 1. Analyze the growth of historical data, such as the rationality of daily new additions and table structure; 2. Estimate future demand, consider linear growth and business peak periods; 3. Match storage and hardware resources, pay attention to disk space and backup costs; 4. Regularly review and adjust strategies to ensure that the forecast is consistent with reality.
- Mysql Tutorial . Database 496 2025-07-26 06:48:20
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- Securing MySQL for Government Compliance
- To make MySQL compliant with government compliance requirements, we need to start from four aspects: permission control, encrypted transmission, audit logs and system reinforcement. 1. Strengthen user permission management, follow the principle of minimum permissions, avoid using root remote connections, and regularly clean invalid accounts; 2. Enable SSL/TLS encryption transmission, use transparent data to encrypt and encrypt backup files; 3. Turn on audit logs and regularly review them, use audit plug-ins and log archives; 4. Close non-essential ports, update patches in a timely manner, use dedicated accounts to run services, and conduct security tests regularly.
- Mysql Tutorial . Database 388 2025-07-26 06:23:50
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- Optimizing MySQL for Real-time Data Feeds
- TooptimizeMySQLforreal-timedatafeeds,firstchoosetheInnoDBstorageenginefortransactionsandrow-levellocking,useMEMORYorROCKSDBfortemporarydata,andpartitiontime-seriesdatabytime.Second,indexstrategicallybyonlyapplyingindexestoWHERE,JOIN,orORDERBYcolumns,
- Mysql Tutorial . Database 236 2025-07-26 05:41:20
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- Leveraging MySQL JSON Schema Validation for Data Integrity
- JSONSchemaValidation is a mechanism provided by MySQL to ensure compliance with JSON field data structures. 1. It allows JSONSchema to be defined when creating a table to constrain the field format; 2. Automatic verification is achieved through CHECK constraints and JSON_SCHEMA_VALID function; 3. Field types, required items and formats such as email legality can be specified; 4. An error will be reported when inserting or updating data does not comply with Schema; 5. Applicable to scenarios where the data structure is often changed but requires structural constraints; 6. It requires support from MySQL8.0.22 and above; 7. Note that verification will affect the write performance, and the format keyword is optional verification.
- Mysql Tutorial . Database 625 2025-07-26 05:32:31
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- Securing MySQL Backup Files with GPG Encryption
- TosecureMySQLbackupsusingGPGencryption,followthesesteps:first,createabackupusingmysqldumpandcompressitwithgzip,thenencryptthecompressedfileusinggpg--encryptwitharecipient'skeyoruse--symmetricforpassphrase-basedencryption;automatethiswithaBashscriptth
- Mysql Tutorial . Database 269 2025-07-26 05:17:00
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- Optimizing MySQL for Data Ingestion from IoT Devices
- ToimproveMySQLperformancewheninsertingIoTdata,usebatchinserts,optimizetablestructureandindexes,andtuneMySQLconfiguration.First,batchmultiplerowsintoasingleINSERTstatementtoreducetransactionoverheadanddiskI/O,aimingfor500–1000rowsperbatch,groupingbyde
- Mysql Tutorial . Database 366 2025-07-26 04:56:20
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- Leveraging MySQL Spatial Indexes for Geographic Data
- Spatial index is an index structure used in MySQL to accelerate spatial data query. It is based on R-Tree implementation and is suitable for range search of multidimensional data. 1. The spatial index supports spatial data types such as GEOMETRY, POINT, POLYGON, etc., which are suitable for handling scenarios such as "nearby places" and "objects within the area". 2.InnoDB fully supports spatial indexing since MySQL 5.7, and it is recommended to use it first. 3. To create a spatial index, you need to define the spatial type column and use SPATIALINDEX, such as creating a POINT type field and adding an index. 4. When inserting data, use functions such as ST_GeomFromText, and use space functions such as MBRContains when querying.
- Mysql Tutorial . Database 290 2025-07-26 04:30:50
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- MySQL Database Capacity Planning for Growth
- The core of capacity planning is to predict data growth in advance and avoid performance bottlenecks and storage crises. To do a good job in capacity planning for MySQL database, we need to start from the following points: 1. The data volume estimate should be combined with business growth expectations, and estimate the total data volume and storage requirements in the next 6 months to 1 year; 2. The disk space should consider data files, indexes, logs, backups and at least 20% redundant space, and regularly monitor the fragmentation rate; 3. In terms of performance bottlenecks, pay attention to single table size, index maintenance, full table scanning and other issues, and optimize performance by dividing tables, partitioning, archive cold data, etc.; 4. Establish an automated monitoring and expansion mechanism, continuously evaluate the matching degree of capacity planning and business development, prepare expansion plans in advance, and ensure that resources always meet business needs.
- Mysql Tutorial . Database 144 2025-07-26 04:30:11
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