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  • Monitoring MySQL server health and performance metrics
    Monitoring MySQL server health and performance metrics
    Monitoring MySQL health and performance requires attention to five core dimensions. 1. Check the number of connections and thread status, and use SHOWSTATUSLIKE'Threads%'; view Threads_connected and Threads_running. If Threads_running is higher than 10~20 for a long time, you need to combine the slow query log troubleshooting; 2. Enable and analyze the slow query log, configure slow_query_log, long_query_time, use mysqldumpslow or pt-query-digest analysis to optimize the SQL of the missed index; 3. Monitor the InnoDB status and pay attention to the buffer pool hit rate and log
    Mysql Tutorial . Database 614 2025-07-03 02:31:11
  • Tuning MySQL memory usage for optimal performance
    Tuning MySQL memory usage for optimal performance
    MySQL memory tuning needs to be reasonably configured based on load, data volume and hardware. Key parameters include: 1. Innodb_buffer_pool_size is recommended to set to 50%~80% of physical memory, but does not exceed the actual data requirements; 2. key_buffer_size is suitable for MyISAM engine, and InnoDB users can keep it small; 3. query_cache_type and query_cache_size are easily bottlenecks in scenarios that write more and read less, and MySQL8.0 has been removed; 4. max_connections and thread-level buffers need to control the total amount to avoid memory overflow. Before tuning, you should pass top, SHOWENGINEINNODBS
    Mysql Tutorial . Database 552 2025-07-03 02:30:51
  • Optimizing GROUP BY and ORDER BY clauses in MySQL
    Optimizing GROUP BY and ORDER BY clauses in MySQL
    The key to optimizing GROUPBY and ORDERBY performance is to use matching indexes to speed up queries. 1. Create a composite index for the columns involved in GROUPBY, and the order must be consistent, so as to avoid using functions on the columns; 2. Ensure that the ORDERBY column is overwritten by the index and try to avoid sorting large result sets; 3. When GROUPBY and ORDERBY coexist, if the sorting is based on aggregate values, the index cannot be used. Consider limiting the number of rows or pre-calculating the aggregate value; 4. Check and remove unnecessary grouping or sorting, reduce data processing, and improve overall efficiency.
    Mysql Tutorial . Database 397 2025-07-03 02:30:30
  • Implementing point-in-time recovery for MySQL databases
    Implementing point-in-time recovery for MySQL databases
    TorestoreaMySQLdatabasetoaspecificpointintime,firstensureyouhaveafullbackupandbinarylogsenabled.1)Enablebinaryloggingbyconfiguringlog_binandserver_idinmy.cnf/my.iniandoptionallysetexpire_logs_days.2)Restorethelatestfullbackupusingmysql-uroot-p
    Mysql Tutorial . Database 1054 2025-07-03 02:27:51
  • Configuring connection pooling for MySQL applications
    Configuring connection pooling for MySQL applications
    Connection pooling can effectively reduce the overhead of frequently creating and destroying connections and avoid database connection exhaustion. 1. Each time a new connection is established, it consumes resources and time. Under high concurrency, it will lead to increased latency, increased load and exceeded the maximum number of connections limit; 2. The connection pool is pre-created at the application startup and reused after use to improve efficiency and control resource consumption; 3. The selection needs to consider performance (such as HikariCP), feature richness (such as Druid), integration, community support, etc.; 4. The core configuration includes the minimum number of idle connections (5~10), maximum number of connections (no more than 80% of the database limit), connection timeout (within 30s), idle timeout (several minutes to more than ten minutes), etc.; 5. Common misunderstanding is that the maximum number of connections is set too large, and it should be combined with pressure measurement and adjustment.
    Mysql Tutorial . Database 414 2025-07-03 02:26:10
  • Exploring MySQL geographic data types and functions
    Exploring MySQL geographic data types and functions
    MySQLsupportsgeographicdatatypesandfunctionsforlocation-basedapplications.①ItoffersspatialtypeslikePOINT,LINESTRING,POLYGON,andGEOMETRYCOLLECTIONtostoregeometricdata.②UserscaninsertandquerydatausingWKTformatwithfunctionslikePOINT()andST_Distance_Sphe
    Mysql Tutorial . Database 487 2025-07-03 02:23:21
  • Securing your MySQL database against common threats
    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
  • Resolving deadlocks in MySQL applications
    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 522 2025-07-03 02:13:21
  • Working with JSON data types in MySQL
    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
  • Improving MySQL full-text search performance
    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 125 2025-07-03 02:03:11
  • Understanding MySQL server variables and status variables
    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
  • Using generated columns in MySQL 5.7 and higher
    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
  • Using triggers for automation in MySQL databases
    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
  • Key MySQL configuration parameters for performance (my.cnf)
    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 715 2025-07-03 01:15:01

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