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advisory_rules_generic.php
<?php declare(strict_types=1); return [ // Queries [ 'id' => 'Uptime below one day', 'name' => __('Uptime below one day'), 'formula' => 'Uptime', 'test' => 'value < 86400', 'issue' => __('Uptime is less than 1 day, performance tuning may not be accurate.'), 'recommendation' => __( 'To have more accurate averages it is recommended to let the server run for' . ' longer than a day before running this analyzer' ), 'justification' => __('The uptime is only %s'), 'justification_formula' => 'ADVISOR_timespanFormat(Uptime)', ], [ 'id' => 'Questions below 1,000', 'name' => __('Questions below 1,000'), 'formula' => 'Questions', 'test' => 'value < 1000', 'issue' => __( 'Fewer than 1,000 questions have been run against this server.' . ' The recommendations may not be accurate.' ), 'recommendation' => __( 'Let the server run for a longer time until it has executed a greater amount of queries.' ), 'justification' => __('Current amount of Questions: %s'), 'justification_formula' => 'Questions', ], [ 'id' => 'Percentage of slow queries', 'name' => __('Percentage of slow queries'), 'precondition' => 'Questions > 0', 'formula' => 'Slow_queries / Questions * 100', 'test' => 'value >= 5', 'issue' => __('There is a lot of slow queries compared to the overall amount of Queries.'), 'recommendation' => __( 'You might want to increase {long_query_time}' . ' or optimize the queries listed in the slow query log' ), 'justification' => __('The slow query rate should be below 5%%, your value is %s%%.'), 'justification_formula' => 'round(value,2)', ], [ 'id' => 'Slow query rate', 'name' => __('Slow query rate'), 'precondition' => 'Questions > 0', 'formula' => '(Slow_queries / Questions * 100) / Uptime', 'test' => 'value * 60 * 60 > 1', 'issue' => __('There is a high percentage of slow queries compared to the server uptime.'), 'recommendation' => __( 'You might want to increase {long_query_time}' . ' or optimize the queries listed in the slow query log' ), 'justification' => __('You have a slow query rate of %s per hour, you should have less than 1%% per hour.'), 'justification_formula' => 'ADVISOR_bytime(value,2)', ], [ 'id' => 'Long query time', 'name' => __('Long query time'), 'formula' => 'long_query_time', 'test' => 'value >= 10', 'issue' => __( '{long_query_time} is set to 10 seconds or more,' . ' thus only slow queries that take above 10 seconds are logged.' ), 'recommendation' => __( 'It is suggested to set {long_query_time} to a lower value, depending on your environment.' . ' Usually a value of 1-5 seconds is suggested.' ), 'justification' => __('long_query_time is currently set to %ds.'), 'justification_formula' => 'value', ], [ 'id' => 'Slow query logging', 'name' => __('Slow query logging'), 'precondition' => 'PMA_MYSQL_INT_VERSION < 50600', 'formula' => 'log_slow_queries', 'test' => 'value == \'OFF\'', 'issue' => __('The slow query log is disabled.'), 'recommendation' => __( 'Enable slow query logging by setting {log_slow_queries} to \'ON\'.' . ' This will help troubleshooting badly performing queries.' ), 'justification' => __('log_slow_queries is set to \'OFF\''), ], [ 'id' => 'Slow query logging', 'name' => __('Slow query logging'), 'precondition' => 'PMA_MYSQL_INT_VERSION >= 50600', 'formula' => 'slow_query_log', 'test' => 'value == \'OFF\'', 'issue' => __('The slow query log is disabled.'), 'recommendation' => __( 'Enable slow query logging by setting {slow_query_log} to \'ON\'.' . ' This will help troubleshooting badly performing queries.' ), 'justification' => __('slow_query_log is set to \'OFF\''), ], // Versions [ 'id' => 'Release Series', 'name' => __('Release Series'), 'formula' => 'version', 'test' => 'substr(value,0,2) <= \'5.\' && substr(value,2,1) < 1', 'issue' => __('The MySQL server version less than 5.1.'), 'recommendation' => __( 'You should upgrade, as MySQL 5.1 has improved performance, and MySQL 5.5 even more so.' ), 'justification' => __('Current version: %s'), 'justification_formula' => 'value', ], [ 'id' => 'Minor Version', 'name' => __('Minor Version'), 'precondition' => '! fired(\'Release Series\')', 'formula' => 'version', 'test' => 'substr(value,0,2) <= \'5.\' && substr(value,2,1) <= 1 && substr(value,4,2) < 30', 'issue' => __('Version less than 5.1.30 (the first GA release of 5.1).'), 'recommendation' => __( 'You should upgrade, as recent versions of MySQL 5.1 have improved performance' . ' and MySQL 5.5 even more so.' ), 'justification' => __('Current version: %s'), 'justification_formula' => 'value', ], [ 'id' => 'Minor Version', 'name' => __('Minor Version'), 'precondition' => '! fired(\'Release Series\')', 'formula' => 'version', 'test' => 'substr(value,0,1) == 5 && substr(value,2,1) == 5 && substr(value,4,2) < 8', 'issue' => __('Version less than 5.5.8 (the first GA release of 5.5).'), 'recommendation' => __('You should upgrade, to a stable version of MySQL 5.5.'), 'justification' => __('Current version: %s'), 'justification_formula' => 'value', ], [ 'id' => 'Distribution', 'name' => __('Distribution'), 'formula' => 'version_comment', 'test' => 'preg_match(\'/source/i\',value)', 'issue' => __('Version is compiled from source, not a MySQL official binary.'), 'recommendation' => __( 'If you did not compile from source, you may be using a package modified by a distribution.' . ' The MySQL manual only is accurate for official MySQL binaries,' . ' not any package distributions (such as RedHat, Debian/Ubuntu etc).' ), 'justification' => __('\'source\' found in version_comment'), ], [ 'id' => 'Distribution', 'name' => __('Distribution'), 'formula' => 'version_comment', 'test' => 'preg_match(\'/percona/i\',value)', 'issue' => __('The MySQL manual only is accurate for official MySQL binaries.'), 'recommendation' => __( 'Percona documentation is at <a href="https://www.percona.com/software/documentation/">' . 'https://www.percona.com/software/documentation/</a>' ), 'justification' => __('\'percona\' found in version_comment'), ], [ 'id' => 'MySQL Architecture', 'name' => __('MySQL Architecture'), 'formula' => 'system_memory', 'test' => 'value > 3072*1024 && !preg_match(\'/64/\',version_compile_machine)' . ' && !preg_match(\'/64/\',version_compile_os)', 'issue' => __('MySQL is not compiled as a 64-bit package.'), 'recommendation' => __( 'Your memory capacity is above 3 GiB (assuming the Server is on localhost),' . ' so MySQL might not be able to access all of your memory.' . ' You might want to consider installing the 64-bit version of MySQL.' ), 'justification' => __('Available memory on this host: %s'), 'justification_formula' => 'ADVISOR_formatByteDown(value*1024, 2, 2)', ], // Query cache [ 'id' => 'Query caching method', 'name' => __('Query caching method'), 'precondition' => '!fired(\'Query cache disabled\')', 'formula' => 'Questions / Uptime', 'test' => 'value > 100', 'issue' => __('Suboptimal caching method.'), 'recommendation' => __( 'You are using the MySQL Query cache with a fairly high traffic database.' . ' It might be worth considering to use ' . '<a href="https://dev.mysql.com/doc/refman/5.6/en/ha-memcached.html">memcached</a>' . ' instead of the MySQL Query cache, especially if you have multiple slaves.' ), 'justification' => __( 'The query cache is enabled and the server receives %d queries per second.' . ' This rule fires if there is more than 100 queries per second.' ), 'justification_formula' => 'round(value,1)', ], // Sorts [ 'id' => 'Percentage of sorts that cause temporary tables', 'name' => __('Percentage of sorts that cause temporary tables'), 'precondition' => 'Sort_scan + Sort_range > 0', 'formula' => 'Sort_merge_passes / (Sort_scan + Sort_range) * 100', 'test' => 'value > 10', 'issue' => __('Too many sorts are causing temporary tables.'), 'recommendation' => __( 'Consider increasing {sort_buffer_size} and/or {read_rnd_buffer_size},' . ' depending on your system memory limits.' ), 'justification' => __('%s%% of all sorts cause temporary tables, this value should be lower than 10%%.'), 'justification_formula' => 'round(value,1)', ], [ 'id' => 'Rate of sorts that cause temporary tables', 'name' => __('Rate of sorts that cause temporary tables'), 'formula' => 'Sort_merge_passes / Uptime', 'test' => 'value * 60 * 60 > 1', 'issue' => __('Too many sorts are causing temporary tables.'), 'recommendation' => __( 'Consider increasing {sort_buffer_size} and/or {read_rnd_buffer_size},' . ' depending on your system memory limits.' ), 'justification' => __('Temporary tables average: %s, this value should be less than 1 per hour.'), 'justification_formula' => 'ADVISOR_bytime(value,2)', ], [ 'id' => 'Sort rows', 'name' => __('Sort rows'), 'formula' => 'Sort_rows / Uptime', 'test' => 'value * 60 >= 1', 'issue' => __('There are lots of rows being sorted.'), 'recommendation' => __( 'While there is nothing wrong with a high amount of row sorting, you might want to' . ' make sure that the queries which require a lot of sorting use indexed columns in' . ' the ORDER BY clause, as this will result in much faster sorting.' ), 'justification' => __('Sorted rows average: %s'), 'justification_formula' => 'ADVISOR_bytime(value,2)', ], // Joins, scans [ 'id' => 'Rate of joins without indexes', 'name' => __('Rate of joins without indexes'), 'formula' => '(Select_range_check + Select_scan + Select_full_join) / Uptime', 'test' => 'value * 60 * 60 > 1', 'issue' => __('There are too many joins without indexes.'), 'recommendation' => __( 'This means that joins are doing full table scans. Adding indexes for the columns being' . ' used in the join conditions will greatly speed up table joins.' ), 'justification' => __('Table joins average: %s, this value should be less than 1 per hour'), 'justification_formula' => 'ADVISOR_bytime(value,2)', ], [ 'id' => 'Rate of reading first index entry', 'name' => __('Rate of reading first index entry'), 'formula' => 'Handler_read_first / Uptime', 'test' => 'value * 60 * 60 > 1', 'issue' => __('The rate of reading the first index entry is high.'), 'recommendation' => __( 'This usually indicates frequent full index scans. Full index scans are faster than' . ' table scans but require lots of CPU cycles in big tables, if those tables that have or' . ' had high volumes of UPDATEs and DELETEs, running \'OPTIMIZE TABLE\' might reduce the' . ' amount of and/or speed up full index scans. Other than that full index scans can' . ' only be reduced by rewriting queries.' ), 'justification' => __('Index scans average: %s, this value should be less than 1 per hour'), 'justification_formula' => 'ADVISOR_bytime(value,2)', ], [ 'id' => 'Rate of reading fixed position', 'name' => __('Rate of reading fixed position'), 'formula' => 'Handler_read_rnd / Uptime', 'test' => 'value * 60 * 60 > 1', 'issue' => __('The rate of reading data from a fixed position is high.'), 'recommendation' => __( 'This indicates that many queries need to sort results and/or do a full table scan,' . ' including join queries that do not use indexes. Add indexes where applicable.' ), 'justification' => __('Rate of reading fixed position average: %s, this value should be less than 1 per hour'), 'justification_formula' => 'ADVISOR_bytime(value,2)', ], [ 'id' => 'Rate of reading next table row', 'name' => __('Rate of reading next table row'), 'formula' => 'Handler_read_rnd_next / Uptime', 'test' => 'value * 60 * 60 > 1', 'issue' => __('The rate of reading the next table row is high.'), 'recommendation' => __( 'This indicates that many queries are doing full table scans. Add indexes where applicable.' ), 'justification' => __('Rate of reading next table row: %s, this value should be less than 1 per hour'), 'justification_formula' => 'ADVISOR_bytime(value,2)', ], // Temp tables [ 'id' => 'Different tmp_table_size and max_heap_table_size', 'name' => __('Different tmp_table_size and max_heap_table_size'), 'formula' => 'tmp_table_size - max_heap_table_size', 'test' => 'value !=0', 'issue' => __('{tmp_table_size} and {max_heap_table_size} are not the same.'), 'recommendation' => __( 'If you have deliberately changed one of either: The server uses the lower value of either' . ' to determine the maximum size of in-memory tables. So if you wish to increase the' . ' in-memory table limit you will have to increase the other value as well.' ), 'justification' => __('Current values are tmp_table_size: %s, max_heap_table_size: %s'), 'justification_formula' => 'ADVISOR_formatByteDown(tmp_table_size, 2, 2),' . ' ADVISOR_formatByteDown(max_heap_table_size, 2, 2)', ], [ 'id' => 'Percentage of temp tables on disk', 'name' => __('Percentage of temp tables on disk'), 'precondition' => 'Created_tmp_tables + Created_tmp_disk_tables > 0', 'formula' => 'Created_tmp_disk_tables / (Created_tmp_tables + Created_tmp_disk_tables) * 100', 'test' => 'value > 25', 'issue' => __('Many temporary tables are being written to disk instead of being kept in memory.'), 'recommendation' => __( 'Increasing {max_heap_table_size} and {tmp_table_size} might help. However some' . ' temporary tables are always being written to disk, independent of the value of these variables.' . ' To eliminate these you will have to rewrite your queries to avoid those conditions' . ' (Within a temporary table: Presence of a BLOB or TEXT column or presence of a column' . ' bigger than 512 bytes) as mentioned in the beginning of an <a href="' . 'https://www.facebook.com/note.php?note_id=10150111255065841&comments' . '">Article by the Pythian Group</a>' ), 'justification' => __( '%s%% of all temporary tables are being written to disk, this value should be below 25%%' ), 'justification_formula' => 'round(value,1)', ], [ 'id' => 'Temp disk rate', 'name' => __('Temp disk rate'), 'precondition' => '!fired(\'Percentage of temp tables on disk\')', 'formula' => 'Created_tmp_disk_tables / Uptime', 'test' => 'value * 60 * 60 > 1', 'issue' => __('Many temporary tables are being written to disk instead of being kept in memory.'), 'recommendation' => __( 'Increasing {max_heap_table_size} and {tmp_table_size} might help. However some' . ' temporary tables are always being written to disk, independent of the value of these variables.' . ' To eliminate these you will have to rewrite your queries to avoid those conditions' . ' (Within a temporary table: Presence of a BLOB or TEXT column or presence of a column' . ' bigger than 512 bytes) as mentioned in the <a href="' . 'https://dev.mysql.com/doc/refman/8.0/en/internal-temporary-tables.html' . '">MySQL Documentation</a>' ), 'justification' => __( 'Rate of temporary tables being written to disk: %s, this value should be less than 1 per hour' ), 'justification_formula' => 'ADVISOR_bytime(value,2)', ], // MyISAM index cache [ 'id' => 'MyISAM key buffer size', 'name' => __('MyISAM key buffer size'), 'formula' => 'key_buffer_size', 'test' => 'value == 0', 'issue' => __('Key buffer is not initialized. No MyISAM indexes will be cached.'), 'recommendation' => __( 'Set {key_buffer_size} depending on the size of your MyISAM indexes. 64M is a good start.' ), 'justification' => __('key_buffer_size is 0'), ], [ 'id' => 'Max % MyISAM key buffer ever used', /* xgettext:no-php-format */ 'name' => __('Max % MyISAM key buffer ever used'), 'precondition' => 'key_buffer_size > 0', 'formula' => 'Key_blocks_used * key_cache_block_size / key_buffer_size * 100', 'test' => 'value < 95', /* xgettext:no-php-format */ 'issue' => __('MyISAM key buffer (index cache) % used is low.'), 'recommendation' => __( 'You may need to decrease the size of {key_buffer_size}, re-examine your tables to see' . ' if indexes have been removed, or examine queries and expectations' . ' about what indexes are being used.' ), 'justification' => __('max %% MyISAM key buffer ever used: %s%%, this value should be above 95%%'), 'justification_formula' => 'round(value,1)', ], [ 'id' => 'Percentage of MyISAM key buffer used', 'name' => __('Percentage of MyISAM key buffer used'), // Don't fire if above rule fired - we don't need the same advice twice 'precondition' => 'key_buffer_size > 0 && !fired(\'Max % MyISAM key buffer ever used\')', 'formula' => '( 1 - Key_blocks_unused * key_cache_block_size / key_buffer_size) * 100', 'test' => 'value < 95', /* xgettext:no-php-format */ 'issue' => __('MyISAM key buffer (index cache) % used is low.'), 'recommendation' => __( 'You may need to decrease the size of {key_buffer_size}, re-examine your tables to see' . ' if indexes have been removed, or examine queries and expectations' . ' about what indexes are being used.' ), 'justification' => __('%% MyISAM key buffer used: %s%%, this value should be above 95%%'), 'justification_formula' => 'round(value,1)', ], [ 'id' => 'Percentage of index reads from memory', 'name' => __('Percentage of index reads from memory'), 'precondition' => 'Key_read_requests > 0', 'formula' => '100 - (Key_reads / Key_read_requests * 100)', 'test' => 'value < 95', /* xgettext:no-php-format */ 'issue' => __('The % of indexes that use the MyISAM key buffer is low.'), 'recommendation' => __('You may need to increase {key_buffer_size}.'), 'justification' => __('Index reads from memory: %s%%, this value should be above 95%%'), 'justification_formula' => 'round(value,1)', ], // Other caches [ 'id' => 'Rate of table open', 'name' => __('Rate of table open'), 'formula' => 'Opened_tables / Uptime', 'test' => 'value*60*60 > 10', 'issue' => __('The rate of opening tables is high.'), 'recommendation' => __( 'Opening tables requires disk I/O which is costly.' . ' Increasing {table_open_cache} might avoid this.' ), 'justification' => __('Opened table rate: %s, this value should be less than 10 per hour'), 'justification_formula' => 'ADVISOR_bytime(value,2)', ], [ 'id' => 'Percentage of used open files limit', 'name' => __('Percentage of used open files limit'), 'formula' => 'Open_files / open_files_limit * 100', 'test' => 'value > 85', 'issue' => __( 'The number of open files is approaching the max number of open files.' . ' You may get a "Too many open files" error.' ), 'recommendation' => __( 'Consider increasing {open_files_limit}, and check the error log when' . ' restarting after changing {open_files_limit}.' ), 'justification' => __('The number of opened files is at %s%% of the limit. It should be below 85%%'), 'justification_formula' => 'round(value,1)', ], [ 'id' => 'Rate of open files', 'name' => __('Rate of open files'), 'formula' => 'Open_files / Uptime', 'test' => 'value * 60 * 60 > 5', 'issue' => __('The rate of opening files is high.'), 'recommendation' => __( 'Consider increasing {open_files_limit}, and check the error log when' . ' restarting after changing {open_files_limit}.' ), 'justification' => __('Opened files rate: %s, this value should be less than 5 per hour'), 'justification_formula' => 'ADVISOR_bytime(value,2)', ], [ 'id' => 'Immediate table locks %', /* xgettext:no-php-format */ 'name' => __('Immediate table locks %'), 'precondition' => 'Table_locks_waited + Table_locks_immediate > 0', 'formula' => 'Table_locks_immediate / (Table_locks_waited + Table_locks_immediate) * 100', 'test' => 'value < 95', 'issue' => __('Too many table locks were not granted immediately.'), 'recommendation' => __('Optimize queries and/or use InnoDB to reduce lock wait.'), 'justification' => __('Immediate table locks: %s%%, this value should be above 95%%'), 'justification_formula' => 'round(value,1)', ], [ 'id' => 'Table lock wait rate', 'name' => __('Table lock wait rate'), 'formula' => 'Table_locks_waited / Uptime', 'test' => 'value * 60 * 60 > 1', 'issue' => __('Too many table locks were not granted immediately.'), 'recommendation' => __('Optimize queries and/or use InnoDB to reduce lock wait.'), 'justification' => __('Table lock wait rate: %s, this value should be less than 1 per hour'), 'justification_formula' => 'ADVISOR_bytime(value,2)', ], [ 'id' => 'Thread cache', 'name' => __('Thread cache'), 'formula' => 'thread_cache_size', 'test' => 'value < 1', 'issue' => __('Thread cache is disabled, resulting in more overhead from new connections to MySQL.'), 'recommendation' => __('Enable the thread cache by setting {thread_cache_size} > 0.'), 'justification' => __('The thread cache is set to 0'), ], [ 'id' => 'Thread cache hit rate %', /* xgettext:no-php-format */ 'name' => __('Thread cache hit rate %'), 'precondition' => 'thread_cache_size > 0', 'formula' => '100 - Threads_created / Connections', 'test' => 'value < 80', 'issue' => __('Thread cache is not efficient.'), 'recommendation' => __('Increase {thread_cache_size}.'), 'justification' => __('Thread cache hitrate: %s%%, this value should be above 80%%'), 'justification_formula' => 'round(value,1)', ], [ 'id' => 'Threads that are slow to launch', 'name' => __('Threads that are slow to launch'), 'precondition' => 'slow_launch_time > 0', 'formula' => 'Slow_launch_threads', 'test' => 'value > 0', 'issue' => __('There are too many threads that are slow to launch.'), 'recommendation' => __( 'This generally happens in case of general system overload as it is pretty simple' . ' operations. You might want to monitor your system load carefully.' ), 'justification' => __('%s thread(s) took longer than %s seconds to start, it should be 0'), 'justification_formula' => 'value, slow_launch_time', ], [ 'id' => 'Slow launch time', 'name' => __('Slow launch time'), 'formula' => 'slow_launch_time', 'test' => 'value > 2', 'issue' => __('Slow_launch_time is above 2s.'), 'recommendation' => __( 'Set {slow_launch_time} to 1s or 2s to correctly count threads that are slow to launch.' ), 'justification' => __('slow_launch_time is set to %s'), 'justification_formula' => 'value', ], // Connections [ 'id' => 'Percentage of used connections', 'name' => __('Percentage of used connections'), 'formula' => 'Max_used_connections / max_connections * 100', 'test' => 'value > 80', 'issue' => __( 'The maximum amount of used connections is getting close to the value of {max_connections}.' ), 'recommendation' => __( 'Increase {max_connections}, or decrease {wait_timeout} so that connections that do not' . ' close database handlers properly get killed sooner.' . ' Make sure the code closes database handlers properly.' ), 'justification' => __('Max_used_connections is at %s%% of max_connections, it should be below 80%%'), 'justification_formula' => 'round(value,1)', ], [ 'id' => 'Percentage of aborted connections', 'name' => __('Percentage of aborted connections'), 'formula' => 'Aborted_connects / Connections * 100', 'test' => 'value > 1', 'issue' => __('Too many connections are aborted.'), 'recommendation' => __( 'Connections are usually aborted when they cannot be authorized. <a href="' . 'https://www.percona.com/blog/2008/08/23/how-to-track-down-the-source-of-aborted_connects/' . '">This article</a> might help you track down the source.' ), 'justification' => __('%s%% of all connections are aborted. This value should be below 1%%'), 'justification_formula' => 'round(value,1)', ], [ 'id' => 'Rate of aborted connections', 'name' => __('Rate of aborted connections'), 'formula' => 'Aborted_connects / Uptime', 'test' => 'value * 60 * 60 > 1', 'issue' => __('Too many connections are aborted.'), 'recommendation' => __( 'Connections are usually aborted when they cannot be authorized. <a href="' . 'https://www.percona.com/blog/2008/08/23/how-to-track-down-the-source-of-aborted_connects/' . '">This article</a> might help you track down the source.' ), 'justification' => __('Aborted connections rate is at %s, this value should be less than 1 per hour'), 'justification_formula' => 'ADVISOR_bytime(value,2)', ], [ 'id' => 'Percentage of aborted clients', 'name' => __('Percentage of aborted clients'), 'formula' => 'Aborted_clients / Connections * 100', 'test' => 'value > 2', 'issue' => __('Too many clients are aborted.'), 'recommendation' => __( 'Clients are usually aborted when they did not close their connection to MySQL properly.' . ' This can be due to network issues or code not closing a database handler properly.' . ' Check your network and code.' ), 'justification' => __('%s%% of all clients are aborted. This value should be below 2%%'), 'justification_formula' => 'round(value,1)', ], [ 'id' => 'Rate of aborted clients', 'name' => __('Rate of aborted clients'), 'formula' => 'Aborted_clients / Uptime', 'test' => 'value * 60 * 60 > 1', 'issue' => __('Too many clients are aborted.'), 'recommendation' => __( 'Clients are usually aborted when they did not close their connection to MySQL properly.' . ' This can be due to network issues or code not closing a database handler properly.' . ' Check your network and code.' ), 'justification' => __('Aborted client rate is at %s, this value should be less than 1 per hour'), 'justification_formula' => 'ADVISOR_bytime(value,2)', ], // InnoDB [ 'id' => 'Is InnoDB disabled?', 'name' => __('Is InnoDB disabled?'), 'precondition' => 'PMA_MYSQL_INT_VERSION < 50600', 'formula' => 'have_innodb', 'test' => 'value != "YES"', 'issue' => __('You do not have InnoDB enabled.'), 'recommendation' => __('InnoDB is usually the better choice for table engines.'), 'justification' => __('have_innodb is set to \'value\''), ], [ 'id' => 'InnoDB log size', 'name' => __('InnoDB log size'), 'precondition' => 'innodb_buffer_pool_size > 0', 'formula' => '(innodb_log_file_size * innodb_log_files_in_group)/ innodb_buffer_pool_size * 100', 'test' => 'value < 20 && innodb_log_file_size / (1024 * 1024) < 256', 'issue' => __( 'The InnoDB log file size is not an appropriate size, in relation to the InnoDB buffer pool.' ), 'recommendation' => __(/* xgettext:no-php-format */ 'Especially on a system with a lot of writes to InnoDB tables you should set' . ' {innodb_log_file_size} to 25% of {innodb_buffer_pool_size}. However the bigger this value,' . ' the longer the recovery time will be when database crashes, so this value should not be set' . ' much higher than 256 MiB. Please note however that you cannot simply change the value of' . ' this variable. You need to shutdown the server, remove the InnoDB log files, set the new' . ' value in my.cnf, start the server, then check the error logs if everything went fine.' . ' See also <a href="' . 'https://mysqldatabaseadministration.blogspot.com/2007/01/increase-innodblogfilesize-proper-way.html' . '">this blog entry</a>' ), 'justification' => __( 'Your InnoDB log size is at %s%% in relation to the InnoDB buffer pool size,' . ' it should not be below 20%%' ), 'justification_formula' => 'round(value,1)', ], [ 'id' => 'Max InnoDB log size', 'name' => __('Max InnoDB log size'), 'precondition' => 'innodb_buffer_pool_size > 0 && innodb_log_file_size / innodb_buffer_pool_size * 100 < 30', 'formula' => 'innodb_log_file_size / (1024 * 1024)', 'test' => 'value > 256', 'issue' => __('The InnoDB log file size is inadequately large.'), 'recommendation' => __(/* xgettext:no-php-format */ 'It is usually sufficient to set {innodb_log_file_size} to 25% of the size of' . ' {innodb_buffer_pool_size}. A very big {innodb_log_file_size} slows down the recovery' . ' time after a database crash considerably. See also ' . '<a href="https://www.percona.com/blog/2006/07/03/choosing-proper-innodb_log_file_size/">' . 'this Article</a>. You need to shutdown the server, remove the InnoDB log files, set the' . ' new value in my.cnf, start the server, then check the error logs' . ' if everything went fine. See also <a href="' . 'https://mysqldatabaseadministration.blogspot.com/2007/01/increase-innodblogfilesize-proper-way.html' . '">this blog entry</a>' ), 'justification' => __('Your absolute InnoDB log size is %s MiB'), 'justification_formula' => 'round(value,1)', ], [ 'id' => 'InnoDB buffer pool size', 'name' => __('InnoDB buffer pool size'), 'precondition' => 'system_memory > 0', 'formula' => 'innodb_buffer_pool_size / system_memory * 100', 'test' => 'value < 60', 'issue' => __('Your InnoDB buffer pool is fairly small.'), 'recommendation' => __(/* xgettext:no-php-format */ 'The InnoDB buffer pool has a profound impact on performance for InnoDB tables.' . ' Assign all your remaining memory to this buffer. For database servers that use solely InnoDB' . ' as storage engine and have no other services (e.g. a web server) running, you may set this' . ' as high as 80% of your available memory. If that is not the case, you need to carefully' . ' assess the memory consumption of your other services and non-InnoDB-Tables and set this' . ' variable accordingly. If it is set too high, your system will start swapping,' . ' which decreases performance significantly. See also ' . '<a href="https://www.percona.com/blog/2007/11/03/choosing-innodb_buffer_pool_size/">this article</a>' ), 'justification' => __( 'You are currently using %s%% of your memory for the InnoDB buffer pool.' . ' This rule fires if you are assigning less than 60%%, however this might be perfectly' . ' adequate for your system if you don\'t have much InnoDB tables' . ' or other services running on the same machine.' ), 'justification_formula' => 'value', ], // Other [ 'id' => 'MyISAM concurrent inserts', 'name' => __('MyISAM concurrent inserts'), 'formula' => 'concurrent_insert', 'test' => 'value === 0 || value === \'NEVER\'', 'issue' => __('Enable {concurrent_insert} by setting it to 1'), 'recommendation' => __( 'Setting {concurrent_insert} to 1 reduces contention between' . ' readers and writers for a given table. See also ' . '<a href="https://dev.mysql.com/doc/refman/5.5/en/concurrent-inserts.html">MySQL Documentation</a>' ), 'justification' => __('concurrent_insert is set to 0'), ], ];