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- Securing your MySQL database against common threats
- To improve the security of MySQL database, we need to start from four aspects: access control, password management, backup mechanism and minimize configuration. Specifically, it includes: 1. Restrict access permissions, only allow specific IP connections and create a dedicated account; 2. Use a strong password and enable authentication plug-ins, such as validate_password; 3. Regularly backup data and test the recovery process to ensure that the data can be restored; 4. Turn off unnecessary functions and services, such as deleting test databases, disabling anonymous users and unwanted plug-ins. These measures can effectively prevent most common threats and ensure the safe and stable operation of the database.
- Mysql Tutorial . Database 238 2025-07-03 02:18:00
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- Resolving deadlocks in MySQL applications
- MySQL deadlock is caused by multiple transactions being cross-waited for resources, and can be reduced by unified access order, shortening transaction time, and rational use of indexes. For example, when transaction A and transaction B hold different resources respectively and request each other's resources, a deadlock will be formed; through the SHOWENGINEINNODBSTATUS command, you can view detailed deadlock logs, analyze transaction SQL, lock types and related rows; during development, access orders should be unified to avoid orders first and then users or the opposite; shorten transaction execution time and reduce lock occupation; ensure that WHERE conditions hit indexes to reduce lock range; batch updates are sorted by primary keys; the application layer captures 1213 error codes and retrys transactions; occasional deadlocks are normal, and frequent occurrences require combining logs and business optimization.
- Mysql Tutorial . Database 524 2025-07-03 02:13:21
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- Working with JSON data types in MySQL
- MySQL supports JSON data types since 5.7, which can be used to store and operate JSON data; 1. When storing, you need to use JSON type fields and ensure the format is correct; 2. You can query the JSON_EXTRACT or -> operator to extract the field values; 3. Modify functions such as JSON_SET to update the content; 4. In terms of performance, you cannot directly index internal fields, which can be implemented by generating columns; 5. JSON is more suitable for scenarios where more reads, fewer writes and less structures are not complicated.
- Mysql Tutorial . Database 772 2025-07-03 02:10:01
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- Improving MySQL full-text search performance
- To improve the full-text search performance of MySQL, it is necessary to optimize from index, configuration, query statements and external tools. 1. Use full-text index reasonably, avoid redundant fields and whole table indexes, use prefix indexes appropriately and customize stop words; 2. Adjust system parameters such as ft_min_word_len and InnoDB full-text cache size, and execute OPTIMIZETABLE regularly; 3. Optimize query statements, limit wildcard usage, add filter conditions, and cooperate with LIMIT paging; 4. High-demand scenarios can introduce external search engines such as Elasticsearch to improve capabilities and reduce the burden on MySQL.
- Mysql Tutorial . Database 126 2025-07-03 02:03:11
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- Understanding MySQL server variables and status variables
- MySQLservervariables control server behavior, while statusvariables reflect running status. 1. Servervariables (system variables) determine the server behavior, such as connection restrictions, cache size, etc., which are divided into global variables and session variables. They can be viewed through SHOWVARIABLES and modified some variables with SET, but some read-only needs to be set in the configuration file; 2. Statusvariables is a read-only variable that displays the running status, such as query count, connection count, etc., and is viewed through SHOWSTATUS for performance monitoring; 3. The usage suggestions include distinguishing the concepts of the two, adjusting the configuration according to monitoring, avoiding blind replication of the configuration, and collecting regularly.
- Mysql Tutorial . Database 978 2025-07-03 01:55:01
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- Using generated columns in MySQL 5.7 and higher
- GeneratedcolumnsinMySQL5.7 automaticallyderivevaluesfromothercolumns,improvingefficiencyandreducingapplicationlogic.1.Theycomeintwotypes:virtual(computedonread)andstored(computedonwrite).2.DefinethemusingGENERATEDALWAYSASwithanexpression,specifyingVI
- Mysql Tutorial . Database 915 2025-07-03 01:47:50
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- Using triggers for automation in MySQL databases
- There is a trigger function in MySQL, which can be automated by automatically executing specified logic when table operations are performed. Triggers are special stored procedures that will automatically trigger when INSERT, UPDATE, and DELETE operations. For example, AFTERINSERT can be used to update customer consumption amount after inserting an order. Common uses include automatic updates to fields, data audits, maintaining consistency and restricting illegal operations. Create a syntax of CREATETRIGGER and specify the event timing and operation type, and use NEW or OLD to reference old and new data. When using it, you need to pay attention to performance impact, debugging difficulties and maintainability issues. It is recommended to keep the logic concise, the naming is clear and the notes are added.
- Mysql Tutorial . Database 481 2025-07-03 01:43:40
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- Key MySQL configuration parameters for performance (my.cnf)
- The key to MySQL performance tuning lies in the rational configuration of my.cnf parameters. 1. Innodb_buffer_pool_size is recommended to set to 50%~80% of physical memory. For example, 64GB of memory can be set to 48G to improve data and index cache efficiency; 2. max_connections can be set to 500 or higher according to concurrency requirements to avoid connection timeouts; 3. For MySQL5.7 and previous versions, query cache should be turned off in scenarios that write more and read less (query_cache_type=0, query_cache_size=0), read-only scenarios can be enabled and set to 64M~256M; 4.tmp_table_size and max_heap_t
- Mysql Tutorial . Database 717 2025-07-03 01:15:01
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- Migrating data between different MySQL versions or servers
- TomovedatabetweenMySQLversionsorservers,useappropriatemethodswhileaddressingversiondifferences,charactersets,andtransfertechniques.1.Forbasictransfers,utilizemysqldumpwithproperoptionslike--single-transactionand--default-character-settoensureconsiste
- Mysql Tutorial . Database 719 2025-07-03 01:14:20
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- Optimizing JOIN operations in complex MySQL queries
- TooptimizeMySQLJOINoperations,firstchoosetheappropriateJOINtype—INNERJOINformatchingrows,LEFTJOINorRIGHTJOINonlywhenneeded,andavoidCROSSJOINunlessnecessary.Second,indextheJOINcolumnsproperly,usingcompositeindexeswhereapplicable,andensuredatatypesmatc
- Mysql Tutorial . Database 319 2025-07-03 01:11:11
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- Troubleshooting MySQL connection refused errors
- MySQL connectionrefused errors are usually caused by the service not running, the port is blocked, the firewall restriction, or the connection address is wrong. 1. First, confirm whether the MySQL service is running normally. You can check through systemctlstatusmysql or psaux|grepmysqld. If it is not started, execute the systemctlstartmysql startup service and check the log for abnormalities. 2. Check whether port 3306 is listening, use the netstat-tuln or ss-tuln command to verify, and if it is not listening, check the bind-address configuration in my.cnf. 3. Check whether the firewall or security group releases the port.
- Mysql Tutorial . Database 210 2025-07-03 00:58:30
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- Implementing MySQL high availability solutions (clustering, etc.)
- ToimplementMySQLhighavailability,chooseaclusteringsolutionlikeMySQLInnoDBCluster,configurequorum-basedfailoverwithroutinglayers,defineclearfailoverrules,ensureapplicationresilience,monitorreplicationlagandnodehealth,usetoolslikePrometheusformonitorin
- Mysql Tutorial . Database 856 2025-07-02 16:48:20
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- Analyzing MySQL slow query log for performance bottlenecks
- MySQL slow query log is used to locate database performance bottlenecks. By checking and turning on slow query logs (slow_query_log=1), setting the log file path and query time threshold (long_query_time), recording the execution time-consuming SQL. When analyzing the content of the log, you need to pay attention to information such as query time, number of scanned rows, and number of returned rows. Common problems include the lack of indexes that lead to full table scanning, unnecessary sorting or grouping, and unreasonable association queries. The optimization suggestions are: 1. Use EXPLAIN to analyze the execution plan and add appropriate indexes; 2. Ensure that the sorted fields have indexes and avoid depth paging; 3. Ensure that the connected fields are indexed and simplify the JOIN logic. You can use mysqldumpslow
- Mysql Tutorial . Database 519 2025-07-02 16:46:31
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- Configuring MySQL for optimal disk I/O performance
- MySQL disk I/O performance optimization can be achieved by adjusting storage engine configuration, log policy, operating system settings and data management. 1. Use InnoDB and reasonably configure innodb_buffer_pool_size (set to 50% to 80% of physical memory), and enable innodb_file_per_table and innodb_flush_method=O_DIRECT. 2. Adjust the log policy, increase innodb_log_file_size and set innodb_flushlog_at_trx_commit to 0 or 2 according to consistency requirements. 3. Use XFS/ext4 file system at the operating system level.
- Mysql Tutorial . Database 355 2025-07-02 16:18:14
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