[mysqld] performance_schema=ON
and you can verify it is on with a global query: " SHOW VARIABLES LIKE 'performance_schema';" which should output
mysql> SHOW VARIABLES LIKE 'performance_schema'; +--------------------+-------+ | Variable_name | Value | +--------------------+-------+ | performance_schema | ON | +--------------------+-------+
[mysqld] performance_schema = ON bind-address = 0.0.0.0 mysqlx-bind-address = 0.0.0.0
In addition, remove bind-address and mysqlx-bind-address if later in the file.
create user test_user@'%' identified by 'BAD_PASSWORD'; grant all privileges on *.* to test_user@'%';
Now workbench is installed.
Links with example queries:
------------------------------------------- To detect which indexes are not used. ref: https://www.databasejournal.com/mysql/an-overview-of-the-mysql-performance-schema/ SELECT object_schema, object_name, index_name FROM performance_schema.table_io_waits_summary_by_index_usage WHERE index_name IS NOT NULL AND count_star = 0 ORDER BY object_schema, object_name; Also, finding hogging queries SELECT PROCESSLIST_ID AS id, PROCESSLIST_USER AS user, PROCESSLIST_HOST AS host, PROCESSLIST_DB AS db, PROCESSLIST_COMMAND AS command, PROCESSLIST_TIME AS time, PROCESSLIST_STATE AS state, LEFT(PROCESSLIST_INFO, 80) AS info FROM performance_schema.threads WHERE PROCESSLIST_ID IS NOT NULL AND PROCESSLIST_COMMAND NOT IN ('Sleep', 'Binlog Dump') ORDER BY PROCESSLIST_TIME ASC; But I would descend and limit by 10. The longest running query is probably the issue. NOTE: This is similar to "show processlist". You can modify it. SELECT PROCESSLIST_ID AS id, PROCESSLIST_USER AS user, PROCESSLIST_HOST AS host, PROCESSLIST_DB AS db, PROCESSLIST_COMMAND AS command, PROCESSLIST_TIME AS time, PROCESSLIST_STATE AS state, LEFT(PROCESSLIST_INFO, 80) AS info FROM performance_schema.threads WHERE PROCESSLIST_ID IS NOT NULL AND PROCESSLIST_COMMAND NOT IN ('Sleep', 'Binlog Dump') ORDER BY PROCESSLIST_TIME DESC limit 10; -- ----------------------------------------------------------------- Here are the things we can examine mysql> desc events_statements_history; +-------------------------+------------------------------------------------+------+-----+---------+-------+ | Field | Type | Null | Key | Default | Extra | +-------------------------+------------------------------------------------+------+-----+---------+-------+ | THREAD_ID | bigint unsigned | NO | PRI | NULL | | | EVENT_ID | bigint unsigned | NO | PRI | NULL | | | END_EVENT_ID | bigint unsigned | YES | | NULL | | | EVENT_NAME | varchar(128) | NO | | NULL | | | SOURCE | varchar(64) | YES | | NULL | | | TIMER_START | bigint unsigned | YES | | NULL | | | TIMER_END | bigint unsigned | YES | | NULL | | | TIMER_WAIT | bigint unsigned | YES | | NULL | | | LOCK_TIME | bigint unsigned | NO | | NULL | | | SQL_TEXT | longtext | YES | | NULL | | | DIGEST | varchar(64) | YES | | NULL | | | DIGEST_TEXT | longtext | YES | | NULL | | | CURRENT_SCHEMA | varchar(64) | YES | | NULL | | | OBJECT_TYPE | varchar(64) | YES | | NULL | | | OBJECT_SCHEMA | varchar(64) | YES | | NULL | | | OBJECT_NAME | varchar(64) | YES | | NULL | | | OBJECT_INSTANCE_BEGIN | bigint unsigned | YES | | NULL | | | MYSQL_ERRNO | int | YES | | NULL | | | RETURNED_SQLSTATE | varchar(5) | YES | | NULL | | | MESSAGE_TEXT | varchar(128) | YES | | NULL | | | ERRORS | bigint unsigned | NO | | NULL | | | WARNINGS | bigint unsigned | NO | | NULL | | | ROWS_AFFECTED | bigint unsigned | NO | | NULL | | | ROWS_SENT | bigint unsigned | NO | | NULL | | | ROWS_EXAMINED | bigint unsigned | NO | | NULL | | | CREATED_TMP_DISK_TABLES | bigint unsigned | NO | | NULL | | | CREATED_TMP_TABLES | bigint unsigned | NO | | NULL | | | SELECT_FULL_JOIN | bigint unsigned | NO | | NULL | | | SELECT_FULL_RANGE_JOIN | bigint unsigned | NO | | NULL | | | SELECT_RANGE | bigint unsigned | NO | | NULL | | | SELECT_RANGE_CHECK | bigint unsigned | NO | | NULL | | | SELECT_SCAN | bigint unsigned | NO | | NULL | | | SORT_MERGE_PASSES | bigint unsigned | NO | | NULL | | | SORT_RANGE | bigint unsigned | NO | | NULL | | | SORT_ROWS | bigint unsigned | NO | | NULL | | | SORT_SCAN | bigint unsigned | NO | | NULL | | | NO_INDEX_USED | bigint unsigned | NO | | NULL | | | NO_GOOD_INDEX_USED | bigint unsigned | NO | | NULL | | | NESTING_EVENT_ID | bigint unsigned | YES | | NULL | | | NESTING_EVENT_TYPE | enum('TRANSACTION','STATEMENT','STAGE','WAIT') | YES | | NULL | | | NESTING_EVENT_LEVEL | int | YES | | NULL | | | STATEMENT_ID | bigint unsigned | YES | | NULL | | | CPU_TIME | bigint unsigned | NO | | NULL | | | MAX_CONTROLLED_MEMORY | bigint unsigned | NO | | NULL | | | MAX_TOTAL_MEMORY | bigint unsigned | NO | | NULL | | | EXECUTION_ENGINE | enum('PRIMARY','SECONDARY') | YES | | NULL | | +-------------------------+------------------------------------------------+------+-----+---------+-------+ ------------------------- To see all queries select thread_id, event_id, sql_text from events_statements_history where sql_text is not NULL; To see which queries are the worst performing in terms of rows_sent versus rows_examined. ---------------------- These are my queries. To see worst performing queries select rows_examined, rows_sent, cast((rows_sent/rows_examined)*100 as unsigned) as rows_percent, sql_text from events_statements_history where sql_text is not NULL and rows_examined > 100 order by rows_percent ASC, rows_examined; ----------------------------------- Queries with most rows examined select rows_examined, sql_text from events_statements_history where sql_text is not NULL and rows_examined > 100 order by rows_examined desc; NOTE: You may want to pattern match this. ----------------------------------- Queries with most rows sent select rows_examined, sql_text from events_statements_history where sql_text is not NULL and rows_examined > 100 order by rows_examined desc; NOTE: You may want to pattern match this. ------ To get the queries with most rows examined (the busiest) 1. regex all queries and group them 2. For each query pattern, add up the rows_examined, and rows_sent. 3. Display results. ------------------------- Eanble all recordings, this might slow the server. UPDATE performance_schema.setup_instruments SET ENABLED = 'YES', TIMED = 'YES'; UPDATE performance_schema.setup_consumers SET ENABLED = 'YES'; UPDATE performance_schema.setup_instruments SET ENABLED = 'YES', TIMED = 'YES' WHERE NAME LIKE 'stage/%'; UPDATE performance_schema.setup_consumers SET ENABLED = 'YES' WHERE NAME LIKE 'events_stages%'; Get all timings for queries where statement is not null and more than 100 rows. select esh1.thread_id, esh2.nesting_event_id, esh2.event_id, esh2.timer_wait, esh2.event_name from performance_schema.events_statements_history_long esh1 join performance_schema.events_stages_history_long esh2 on (esh1.thread_id=esh2.thread_id and esh1.event_id = esh2.nesting_event_id) where esh1.sql_text is not NULL and esh1.rows_examined > 100; Sum the times, display the highest. select esh1.thread_id, esh1.event_id, sum(esh2.timer_wait)/1000000000000 as total_time, esh1.sql_text from performance_schema.events_statements_history_long esh1 join performance_schema.events_stages_history_long esh2 on (esh1.thread_id=esh2.thread_id and esh1.event_id = esh2.nesting_event_id) where esh1.sql_text is not NULL and esh1.rows_examined > 100 and esh1.current_schema not in ('mysql', 'performance_schema') group by esh1.thread_id, esh1.event_id, esh1.sql_text order by total_time desc\G I tried events_stages_current and events_stages_history, but they emptied the queries. Current is only if it is currently running. Not sure about events_stages_history; Detect highest times per stage for the highest 4 queries for stages more than 0.0001 select esh1.thread_id, esh1.event_id, sum(esh2.timer_wait)/1000000000000 as total_time, esh1.sql_text from performance_schema.events_statements_history_long esh1 join performance_schema.events_stages_history_long esh2 on (esh1.thread_id=esh2.thread_id and esh1.event_id = esh2.nesting_event_id) where esh1.sql_text is not NULL and esh1.rows_examined > 100 and esh1.current_schema not in ('mysql', 'performance_schema') and esh1.sql_text not like '%performance_schema%' group by esh1.thread_id, esh1.event_id, esh1.sql_text order by total_time desc limit 4; Only select select statements. create database if not exists temp; use temp; drop table if exists total_time; select i3.i, i5.i2 from mark.i as i3 join mark.i2 as i5 on (i3.i = i5.i2) limit 200; create temporary table total_time select esh1.thread_id, esh1.event_id, sum(esh2.timer_wait)/1000000000 as total_time_ms, esh1.sql_text from performance_schema.events_statements_history_long esh1 join performance_schema.events_stages_history_long esh2 on (esh1.thread_id=esh2.thread_id and esh1.event_id = esh2.nesting_event_id) where esh1.sql_text is not NULL and esh1.rows_examined > 100 and esh1.current_schema not in ('mysql', 'performance_schema') and esh1.sql_text not like '%performance_schema%' and esh1.sql_text like '%select%' group by esh1.thread_id, esh1.event_id, esh1.sql_text order by total_time_ms desc limit 4; Without the query. select t.thread_id,t.event_id, esh2.nesting_event_id, esh2.event_name, esh2.timer_wait/1000000000 as timer_wait_ms, t.total_time_ms from total_time t join performance_schema.events_stages_history_long esh2 on (t.thread_id=esh2.thread_id and t.event_id = esh2.nesting_event_id) ; With query -- kinda of messy. select t.thread_id,t.event_id, esh2.nesting_event_id, esh2.event_name, esh2.timer_wait/1000000000 as timer_wait_ms, t.total_time_ms, t.sql_text as sql1 from total_time t join performance_schema.events_stages_history_long esh2 on (t.thread_id=esh2.thread_id and t.event_id = esh2.nesting_event_id) ; Change format; select t.thread_id,t.event_id, esh2.nesting_event_id, esh2.event_name, esh2.timer_wait/1000000000 as timer_wait_ms, t.total_time_ms, t.sql_text as sql1 from total_time t join performance_schema.events_stages_history_long esh2 on (t.thread_id=esh2.thread_id and t.event_id = esh2.nesting_event_id) \G ---------------------- TODO: Queries by otehr things, like IO