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https://dev.mysql.com/doc/refman/8.0/en/gone-away.html
If you need big queries (for example, if you are working with big BLOB columns), you can increase the query limit by setting the server's max_allowed_packet variable, which has a default value of 64MB. This section also covers the related Lost ...
https://dev.mysql.com/doc/refman/8.0/en/innodb-information-schema-metrics-table.html
The INNODB_METRICS table provides information about InnoDB performance and resource-related counters. SET GLOBAL innodb_monitor_disable = [counter-name|module_name|pattern|all]; innodb_monitor_reset: Resets counter values to zero. SET GLOBAL ...
https://dev.mysql.com/doc/refman/8.0/en/group-by-modifiers.html
WITH ROLLUP queries, to test whether NULL values in the result represent super-aggregate values, the GROUPING() function is available for use in the select list, HAVING clause, and (as of MySQL 8.0.12) ORDER BY clause. The GROUP BY clause permits a ...
https://dev.mysql.com/doc/refman/8.0/en/innodb-memcached-porting-mysql.html
You cannot use a partitioned table for data queried or stored using memcached. SELECT AVG(cast(c2 as unsigned integer)) FROM demo_test WHERE c2 BETWEEN '0' and '9999999999'; # Views let you hide the complexity of queries. The data is available for ... Consider these aspects of memcached applications when adapting an existing MySQL schema or application to use the daemon_memcached plugin: memcached keys cannot contain spaces or newlines, because these characters are used as separators in the ASCII ...
https://dev.mysql.com/doc/refman/8.0/en/json-validation-functions.html
Beginning with MySQL 8.0.17, MySQL supports validation of JSON documents against JSON schemas conforming to Draft 4 of the JSON Schema specification. This can be done using either of the functions detailed in this section, both of which take two ...
https://dev.mysql.com/doc/refman/8.0/en/mysql-cluster-ndbinfo-memory-per-fragment.html
memory_per_fragment Table: Notes memory_per_fragment Table: Examples The memory_per_fragment table provides information about the usage of memory by individual fragments. See the Notes later in this section to see how you can use this to find out ...
https://dev.mysql.com/doc/refman/8.0/en/group-by-functional-dependence.html
The following discussion provides several examples of the ways in which MySQL detects functional dependencies. The examples use this notation: {X} -> {Y} Understand this as “X uniquely determines Y,” which also means that Y is functionally ...
https://dev.mysql.com/doc/refman/8.0/en/information-functions.html
For example, instead of these queries: SELECT SQL_CALC_FOUND_ROWS * FROM tbl_name WHERE id > 100 LIMIT 10; SELECT FOUND_ROWS(); Use these queries instead: SELECT * FROM tbl_name WHERE id > 100 LIMIT 10; SELECT COUNT(*) FROM tbl_name WHERE id > 100; ...It may be used to time how quickly MySQL processes the ...
https://dev.mysql.com/doc/refman/8.0/en/innodb-deadlock-example.html
The following example illustrates how an error can occur when a lock request causes a deadlock. Client A enables innodb_print_all_deadlocks, creates two tables, 'Animals' and 'Birds', and inserts data into each. Thererfore, the previous read-only ...
https://dev.mysql.com/doc/refman/8.0/en/innodb-information-schema-system-tables.html
You can extract metadata about schema objects managed by InnoDB using InnoDB INFORMATION_SCHEMA tables. Traditionally, you would get this type of information using the techniques from Section 17.17, “InnoDB Monitors”, setting up InnoDB monitors ...