Current File : /var/www/projetos/admin.iigd.com.br/libraries/advisory_rules_mysql_before80003.php
<?php
declare(strict_types=1);
return [
// Query cache
[
'id' => 'Query cache disabled',
'name' => __('Query cache disabled'),
'formula' => 'query_cache_size',
'test' => 'value == 0 || query_cache_type == \'OFF\' || query_cache_type == \'0\'',
'issue' => __('The query cache is not enabled.'),
'recommendation' => __(
'The query cache is known to greatly improve performance if configured correctly. Enable it by'
. ' setting {query_cache_size} to a 2 digit MiB value and setting {query_cache_type} to \'ON\'.'
. ' <b>Note:</b> If you are using memcached, ignore this recommendation.'
),
'justification' => __('query_cache_size is set to 0 or query_cache_type is set to \'OFF\''),
],
[
'id' => 'Query cache efficiency (%)',
/* xgettext:no-php-format */
'name' => __('Query cache efficiency (%)'),
'precondition' => 'Com_select + Qcache_hits > 0 && !fired(\'Query cache disabled\')',
'formula' => 'Qcache_hits / (Com_select + Qcache_hits) * 100',
'test' => 'value < 20',
'issue' => __('Query cache not running efficiently, it has a low hit rate.'),
'recommendation' => __('Consider increasing {query_cache_limit}.'),
'justification' => __('The current query cache hit rate of %s%% is below 20%%'),
'justification_formula' => 'round(value,1)',
],
[
'id' => 'Query Cache usage',
'name' => __('Query Cache usage'),
'precondition' => '!fired(\'Query cache disabled\')',
'formula' => '100 - Qcache_free_memory / query_cache_size * 100',
'test' => 'value < 80',
/* xgettext:no-php-format */
'issue' => __('Less than 80% of the query cache is being utilized.'),
'recommendation' => __(
'This might be caused by {query_cache_limit} being too low.'
. ' Flushing the query cache might help as well.'
),
'justification' => __(
'The current ratio of free query cache memory to total query'
. ' cache size is %s%%. It should be above 80%%'
),
'justification_formula' => 'round(value,1)',
],
[
'id' => 'Query cache fragmentation',
'name' => __('Query cache fragmentation'),
'precondition' => '!fired(\'Query cache disabled\')',
'formula' => 'Qcache_free_blocks / (Qcache_total_blocks / 2) * 100',
'test' => 'value > 20',
'issue' => __('The query cache is considerably fragmented.'),
'recommendation' => __(
'Severe fragmentation is likely to (further) increase Qcache_lowmem_prunes. This might be'
. ' caused by many Query cache low memory prunes due to {query_cache_size} being too small. For a'
. ' immediate but short lived fix you can flush the query cache (might lock the query cache for a'
. ' long time). Carefully adjusting {query_cache_min_res_unit} to a lower value might help too,'
. ' e.g. you can set it to the average size of your queries in the cache using this formula:'
. ' (query_cache_size - qcache_free_memory) / qcache_queries_in_cache'
),
'justification' => __(
'The cache is currently fragmented by %s%% , with 100%% fragmentation meaning that the query'
. ' cache is an alternating pattern of free and used blocks. This value should be below 20%%.'
),
'justification_formula' => 'round(value,1)',
],
[
'id' => 'Query cache low memory prunes',
'name' => __('Query cache low memory prunes'),
'precondition' => 'Qcache_inserts > 0 && !fired(\'Query cache disabled\')',
'formula' => 'Qcache_lowmem_prunes / Qcache_inserts * 100',
'test' => 'value > 0.1',
'issue' => __('Cached queries are removed due to low query cache memory from the query cache.'),
'recommendation' => __(
'You might want to increase {query_cache_size}, however keep in mind that the overhead of'
. ' maintaining the cache is likely to increase with its size, so do this in small increments'
. ' and monitor the results.'
),
'justification' => __(
'The ratio of removed queries to inserted queries is %s%%. The lower this value is,'
. ' the better (This rules firing limit: 0.1%%)'
),
'justification_formula' => 'round(value,1)',
],
[
'id' => 'Query cache max size',
'name' => __('Query cache max size'),
'precondition' => '!fired(\'Query cache disabled\')',
'formula' => 'query_cache_size',
'test' => 'value > 1024 * 1024 * 128',
'issue' => __(
'The query cache size is above 128 MiB. Big query caches may cause significant'
. ' overhead that is required to maintain the cache.'
),
'recommendation' => __(
'Depending on your environment, it might be performance increasing to reduce this value.'
),
'justification' => __('Current query cache size: %s'),
'justification_formula' => 'ADVISOR_formatByteDown(value, 2, 2)',
],
[
'id' => 'Query cache min result size',
'name' => __('Query cache min result size'),
'precondition' => '!fired(\'Query cache disabled\')',
'formula' => 'query_cache_limit',
'test' => 'value == 1024*1024',
'issue' => __('The max size of the result set in the query cache is the default of 1 MiB.'),
'recommendation' => __(
'Changing {query_cache_limit} (usually by increasing) may increase efficiency. This variable'
. ' determines the maximum size a query result may have to be inserted into the query cache.'
. ' If there are many query results above 1 MiB that are well cacheable (many reads, little writes)'
. ' then increasing {query_cache_limit} will increase efficiency. Whereas in the case of many query'
. ' results being above 1 MiB that are not very well cacheable (often invalidated due to table'
. ' updates) increasing {query_cache_limit} might reduce efficiency.'
),
'justification' => __('query_cache_limit is set to 1 MiB'),
],
];
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