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phpmyadmin_ynh/sources/libraries/server_status_variables.lib.php
Julien Malik 68f7b78dc1 add phpmyadmin sources 4.1.4
2014-01-14 12:28:06 +01:00

765 lines
29 KiB
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<?php
/* vim: set expandtab sw=4 ts=4 sts=4: */
/**
* functions for displaying server status variables
*
* @usedby server_status_variables.php
*
* @package PhpMyAdmin
*/
if (! defined('PHPMYADMIN')) {
exit;
}
/**
* Returns the html for the list filter
*
* @param Object $ServerStatusData An instance of the PMA_ServerStatusData class
*
* @return string
*/
function PMA_getHtmlForFilter($ServerStatusData)
{
$filterAlert = '';
if (! empty($_REQUEST['filterAlert'])) {
$filterAlert = ' checked="checked"';
}
$filterText = '';
if (! empty($_REQUEST['filterText'])) {
$filterText = htmlspecialchars($_REQUEST['filterText']);
}
$dontFormat = '';
if (! empty($_REQUEST['dontFormat'])) {
$dontFormat = ' checked="checked"';
}
$retval = '';
$retval .= '<fieldset id="tableFilter">';
$retval .= '<legend>' . __('Filters') . '</legend>';
$retval .= '<form action="server_status_variables.php?'
. PMA_URL_getCommon() . '">';
$retval .= '<input type="submit" value="' . __('Refresh') . '" />';
$retval .= '<div class="formelement">';
$retval .= '<label for="filterText">' . __('Containing the word:') . '</label>';
$retval .= '<input name="filterText" type="text" id="filterText" '
. 'style="vertical-align: baseline;" value="' . $filterText . '" />';
$retval .= '</div>';
$retval .= '<div class="formelement">';
$retval .= '<input' . $filterAlert . ' type="checkbox" '
. 'name="filterAlert" id="filterAlert" />';
$retval .= '<label for="filterAlert">';
$retval .= __('Show only alert values');
$retval .= '</label>';
$retval .= '</div>';
$retval .= '<div class="formelement">';
$retval .= '<select id="filterCategory" name="filterCategory">';
$retval .= '<option value="">' . __('Filter by category…') . '</option>';
foreach ($ServerStatusData->sections as $section_id => $section_name) {
if (isset($ServerStatusData->categoryUsed[$section_id])) {
if (! empty($_REQUEST['filterCategory'])
&& $_REQUEST['filterCategory'] == $section_id
) {
$selected = ' selected="selected"';
} else {
$selected = '';
}
$retval .= '<option' . $selected . ' value="' . $section_id. '">';
$retval .= htmlspecialchars($section_name) . '</option>';
}
}
$retval .= '</select>';
$retval .= '</div>';
$retval .= '<div class="formelement">';
$retval .= '<input' . $dontFormat . ' type="checkbox" '
. 'name="dontFormat" id="dontFormat" />';
$retval .= '<label for="dontFormat">';
$retval .= __('Show unformatted values');
$retval .= '</label>';
$retval .= '</div>';
$retval .= '</form>';
$retval .= '</fieldset>';
return $retval;
}
/**
* Prints the suggestion links
*
* @param Object $ServerStatusData An instance of the PMA_ServerStatusData class
*
* @return string
*/
function PMA_getHtmlForLinkSuggestions($ServerStatusData)
{
$retval = '<div id="linkSuggestions" class="defaultLinks" '
. 'style="display:none">';
$retval .= '<p class="notice">' . __('Related links:');
foreach ($ServerStatusData->links as $section_name => $section_links) {
$retval .= '<span class="status_' . $section_name . '"> ';
$i=0;
foreach ($section_links as $link_name => $link_url) {
if ($i > 0) {
$retval .= ', ';
}
if ('doc' == $link_name) {
$retval .= PMA_Util::showMySQLDocu($link_url);
} else {
$retval .= '<a href="' . $link_url . '">' . $link_name . '</a>';
}
$i++;
}
$retval .= '</span>';
}
unset($link_url, $link_name, $i);
$retval .= '</p>';
$retval .= '</div>';
return $retval;
}
/**
* Returns a table with variables information
*
* @param Object $ServerStatusData An instance of the PMA_ServerStatusData class
*
* @return string
*/
function PMA_getHtmlForVariablesList($ServerStatusData)
{
$retval = '';
$strShowStatus = PMA_getStatusVariablesDescriptions();
/**
* define some alerts
*/
// name => max value before alert
$alerts = array(
// lower is better
// variable => max value
'Aborted_clients' => 0,
'Aborted_connects' => 0,
'Binlog_cache_disk_use' => 0,
'Created_tmp_disk_tables' => 0,
'Handler_read_rnd' => 0,
'Handler_read_rnd_next' => 0,
'Innodb_buffer_pool_pages_dirty' => 0,
'Innodb_buffer_pool_reads' => 0,
'Innodb_buffer_pool_wait_free' => 0,
'Innodb_log_waits' => 0,
'Innodb_row_lock_time_avg' => 10, // ms
'Innodb_row_lock_time_max' => 50, // ms
'Innodb_row_lock_waits' => 0,
'Slow_queries' => 0,
'Delayed_errors' => 0,
'Select_full_join' => 0,
'Select_range_check' => 0,
'Sort_merge_passes' => 0,
'Opened_tables' => 0,
'Table_locks_waited' => 0,
'Qcache_lowmem_prunes' => 0,
'Qcache_free_blocks' =>
isset($ServerStatusData->server_status['Qcache_total_blocks'])
? $ServerStatusData->server_status['Qcache_total_blocks'] / 5
: 0,
'Slow_launch_threads' => 0,
// depends on Key_read_requests
// normaly lower then 1:0.01
'Key_reads' => isset($ServerStatusData->status['Key_read_requests'])
? (0.01 * $ServerStatusData->status['Key_read_requests']) : 0,
// depends on Key_write_requests
// normaly nearly 1:1
'Key_writes' => isset($ServerStatusData->status['Key_write_requests'])
? (0.9 * $ServerStatusData->status['Key_write_requests']) : 0,
'Key_buffer_fraction' => 0.5,
// alert if more than 95% of thread cache is in use
'Threads_cached' => isset($ServerStatusData->variables['thread_cache_size'])
? 0.95 * $ServerStatusData->variables['thread_cache_size'] : 0
// higher is better
// variable => min value
//'Handler read key' => '> ',
);
$retval .= PMA_getHtmlForRenderVariables(
$ServerStatusData,
$alerts,
$strShowStatus
);
return $retval;
}
/**
* Returns HTML for render variables list
*
* @param Object $ServerStatusData An instance of the PMA_ServerStatusData class
* @param Array $alerts Alert Array
* @param Array $strShowStatus Status Array
*
* @return string
*/
function PMA_getHtmlForRenderVariables($ServerStatusData, $alerts, $strShowStatus)
{
$retval = '<table class="data sortable noclick" id="serverstatusvariables">';
$retval .= '<col class="namecol" />';
$retval .= '<col class="valuecol" />';
$retval .= '<col class="descrcol" />';
$retval .= '<thead>';
$retval .= '<tr>';
$retval .= '<th>' . __('Variable') . '</th>';
$retval .= '<th>' . __('Value') . '</th>';
$retval .= '<th>' . __('Description') . '</th>';
$retval .= '</tr>';
$retval .= '</thead>';
$retval .= '<tbody>';
$odd_row = false;
foreach ($ServerStatusData->status as $name => $value) {
$odd_row = !$odd_row;
$retval .= '<tr class="' . ($odd_row ? 'odd' : 'even')
. (isset($ServerStatusData->allocationMap[$name])
?' s_' . $ServerStatusData->allocationMap[$name]
: '')
. '">';
$retval .= '<th class="name">';
$retval .= htmlspecialchars(str_replace('_', ' ', $name));
// Fields containing % are calculated,
// they can not be described in MySQL documentation
if (strpos($name, '%') === false) {
$retval .= PMA_Util::showMySQLDocu(
'server-status-variables',
false,
'statvar_' . $name
);
}
$retval .= '</th>';
$retval .= '<td class="value"><span class="formatted">';
if (isset($alerts[$name])) {
if ($value > $alerts[$name]) {
$retval .= '<span class="attention">';
} else {
$retval .= '<span class="allfine">';
}
}
if ('%' === substr($name, -1, 1)) {
$retval .= htmlspecialchars(PMA_Util::formatNumber($value, 0, 2)) . ' %';
} elseif (strpos($name, 'Uptime') !== false) {
$retval .= htmlspecialchars(
PMA_Util::timespanFormat($value)
);
} elseif (is_numeric($value) && $value > 1000) {
$retval .= '<abbr title="'
// makes available the raw value as a title
. htmlspecialchars(PMA_Util::formatNumber($value, 0))
. '">'
. htmlspecialchars(PMA_Util::formatNumber($value, 3, 1))
. '</abbr>';
} elseif (is_numeric($value)) {
$retval .= htmlspecialchars(PMA_Util::formatNumber($value, 3, 1));
} else {
$retval .= htmlspecialchars($value);
}
if (isset($alerts[$name])) {
$retval .= '</span>';
}
$retval .= '</span>';
$retval .= '<span style="display:none;" class="original">';
if (isset($alerts[$name])) {
if ($value > $alerts[$name]) {
$retval .= '<span class="attention">';
} else {
$retval .= '<span class="allfine">';
}
}
$retval .= $value;
if (isset($alerts[$name])) {
$retval .= '</span>';
}
$retval .= '</span>';
$retval .= '</td>';
$retval .= '<td class="descr">';
if (isset($strShowStatus[$name])) {
$retval .= $strShowStatus[$name];
}
if (isset($ServerStatusData->links[$name])) {
foreach ($ServerStatusData->links[$name] as $link_name => $link_url) {
if ('doc' == $link_name) {
$retval .= PMA_Util::showMySQLDocu($link_url);
} else {
$retval .= ' <a href="' . $link_url . '">' . $link_name . '</a>';
}
}
unset($link_url, $link_name);
}
$retval .= '</td>';
$retval .= '</tr>';
}
$retval .= '</tbody>';
$retval .= '</table>';
return $retval;
}
/**
* Returns a list of variable descriptions
*
* @return array
*/
function PMA_getStatusVariablesDescriptions()
{
/**
* Messages are built using the message name
*/
return array(
'Aborted_clients' => __(
'The number of connections that were aborted because the client died'
. ' without closing the connection properly.'
),
'Aborted_connects' => __(
'The number of failed attempts to connect to the MySQL server.'
),
'Binlog_cache_disk_use' => __(
'The number of transactions that used the temporary binary log cache'
. ' but that exceeded the value of binlog_cache_size and used a'
. ' temporary file to store statements from the transaction.'
),
'Binlog_cache_use' => __(
'The number of transactions that used the temporary binary log cache.'
),
'Connections' => __(
'The number of connection attempts (successful or not)'
. ' to the MySQL server.'
),
'Created_tmp_disk_tables' => __(
'The number of temporary tables on disk created automatically by'
. ' the server while executing statements. If'
. ' Created_tmp_disk_tables is big, you may want to increase the'
. ' tmp_table_size value to cause temporary tables to be'
. ' memory-based instead of disk-based.'
),
'Created_tmp_files' => __(
'How many temporary files mysqld has created.'
),
'Created_tmp_tables' => __(
'The number of in-memory temporary tables created automatically'
. ' by the server while executing statements.'
),
'Delayed_errors' => __(
'The number of rows written with INSERT DELAYED for which some'
. ' error occurred (probably duplicate key).'
),
'Delayed_insert_threads' => __(
'The number of INSERT DELAYED handler threads in use. Every'
. ' different table on which one uses INSERT DELAYED gets'
. ' its own thread.'
),
'Delayed_writes' => __(
'The number of INSERT DELAYED rows written.'
),
'Flush_commands' => __(
'The number of executed FLUSH statements.'
),
'Handler_commit' => __(
'The number of internal COMMIT statements.'
),
'Handler_delete' => __(
'The number of times a row was deleted from a table.'
),
'Handler_discover' => __(
'The MySQL server can ask the NDB Cluster storage engine if it'
. ' knows about a table with a given name. This is called discovery.'
. ' Handler_discover indicates the number of time tables have been'
. ' discovered.'
),
'Handler_read_first' => __(
'The number of times the first entry was read from an index. If this'
. ' is high, it suggests that the server is doing a lot of full'
. ' index scans; for example, SELECT col1 FROM foo, assuming that'
. ' col1 is indexed.'
),
'Handler_read_key' => __(
'The number of requests to read a row based on a key. If this is'
. ' high, it is a good indication that your queries and tables'
. ' are properly indexed.'
),
'Handler_read_next' => __(
'The number of requests to read the next row in key order. This is'
. ' incremented if you are querying an index column with a range'
. ' constraint or if you are doing an index scan.'
),
'Handler_read_prev' => __(
'The number of requests to read the previous row in key order.'
. ' This read method is mainly used to optimize ORDER BY … DESC.'
),
'Handler_read_rnd' => __(
'The number of requests to read a row based on a fixed position.'
. ' This is high if you are doing a lot of queries that require'
. ' sorting of the result. You probably have a lot of queries that'
. ' require MySQL to scan whole tables or you have joins that'
. ' don\'t use keys properly.'
),
'Handler_read_rnd_next' => __(
'The number of requests to read the next row in the data file.'
. ' This is high if you are doing a lot of table scans. Generally'
. ' this suggests that your tables are not properly indexed or that'
. ' your queries are not written to take advantage of the indexes'
. ' you have.'
),
'Handler_rollback' => __(
'The number of internal ROLLBACK statements.'
),
'Handler_update' => __(
'The number of requests to update a row in a table.'
),
'Handler_write' => __(
'The number of requests to insert a row in a table.'
),
'Innodb_buffer_pool_pages_data' => __(
'The number of pages containing data (dirty or clean).'
),
'Innodb_buffer_pool_pages_dirty' => __(
'The number of pages currently dirty.'
),
'Innodb_buffer_pool_pages_flushed' => __(
'The number of buffer pool pages that have been requested'
. ' to be flushed.'
),
'Innodb_buffer_pool_pages_free' => __(
'The number of free pages.'
),
'Innodb_buffer_pool_pages_latched' => __(
'The number of latched pages in InnoDB buffer pool. These are pages'
. ' currently being read or written or that can\'t be flushed or'
. ' removed for some other reason.'
),
'Innodb_buffer_pool_pages_misc' => __(
'The number of pages busy because they have been allocated for'
. ' administrative overhead such as row locks or the adaptive'
. ' hash index. This value can also be calculated as'
. ' Innodb_buffer_pool_pages_total - Innodb_buffer_pool_pages_free'
. ' - Innodb_buffer_pool_pages_data.'
),
'Innodb_buffer_pool_pages_total' => __(
'Total size of buffer pool, in pages.'
),
'Innodb_buffer_pool_read_ahead_rnd' => __(
'The number of "random" read-aheads InnoDB initiated. This happens'
. ' when a query is to scan a large portion of a table but in'
. ' random order.'
),
'Innodb_buffer_pool_read_ahead_seq' => __(
'The number of sequential read-aheads InnoDB initiated. This'
. ' happens when InnoDB does a sequential full table scan.'
),
'Innodb_buffer_pool_read_requests' => __(
'The number of logical read requests InnoDB has done.'
),
'Innodb_buffer_pool_reads' => __(
'The number of logical reads that InnoDB could not satisfy'
. ' from buffer pool and had to do a single-page read.'
),
'Innodb_buffer_pool_wait_free' => __(
'Normally, writes to the InnoDB buffer pool happen in the'
. ' background. However, if it\'s necessary to read or create a page'
. ' and no clean pages are available, it\'s necessary to wait for'
. ' pages to be flushed first. This counter counts instances of'
. ' these waits. If the buffer pool size was set properly, this'
. ' value should be small.'
),
'Innodb_buffer_pool_write_requests' => __(
'The number writes done to the InnoDB buffer pool.'
),
'Innodb_data_fsyncs' => __(
'The number of fsync() operations so far.'
),
'Innodb_data_pending_fsyncs' => __(
'The current number of pending fsync() operations.'
),
'Innodb_data_pending_reads' => __(
'The current number of pending reads.'
),
'Innodb_data_pending_writes' => __(
'The current number of pending writes.'
),
'Innodb_data_read' => __(
'The amount of data read so far, in bytes.'
),
'Innodb_data_reads' => __(
'The total number of data reads.'
),
'Innodb_data_writes' => __(
'The total number of data writes.'
),
'Innodb_data_written' => __(
'The amount of data written so far, in bytes.'
),
'Innodb_dblwr_pages_written' => __(
'The number of pages that have been written for'
. ' doublewrite operations.'
),
'Innodb_dblwr_writes' => __(
'The number of doublewrite operations that have been performed.'
),
'Innodb_log_waits' => __(
'The number of waits we had because log buffer was too small and'
. ' we had to wait for it to be flushed before continuing.'
),
'Innodb_log_write_requests' => __(
'The number of log write requests.'
),
'Innodb_log_writes' => __(
'The number of physical writes to the log file.'
),
'Innodb_os_log_fsyncs' => __(
'The number of fsync() writes done to the log file.'
),
'Innodb_os_log_pending_fsyncs' => __(
'The number of pending log file fsyncs.'
),
'Innodb_os_log_pending_writes' => __(
'Pending log file writes.'
),
'Innodb_os_log_written' => __(
'The number of bytes written to the log file.'
),
'Innodb_pages_created' => __(
'The number of pages created.'
),
'Innodb_page_size' => __(
'The compiled-in InnoDB page size (default 16KB). Many values are'
. ' counted in pages; the page size allows them to be easily'
. ' converted to bytes.'
),
'Innodb_pages_read' => __(
'The number of pages read.'
),
'Innodb_pages_written' => __(
'The number of pages written.'
),
'Innodb_row_lock_current_waits' => __(
'The number of row locks currently being waited for.'
),
'Innodb_row_lock_time_avg' => __(
'The average time to acquire a row lock, in milliseconds.'
),
'Innodb_row_lock_time' => __(
'The total time spent in acquiring row locks, in milliseconds.'
),
'Innodb_row_lock_time_max' => __(
'The maximum time to acquire a row lock, in milliseconds.'
),
'Innodb_row_lock_waits' => __(
'The number of times a row lock had to be waited for.'
),
'Innodb_rows_deleted' => __(
'The number of rows deleted from InnoDB tables.'
),
'Innodb_rows_inserted' => __(
'The number of rows inserted in InnoDB tables.'
),
'Innodb_rows_read' => __(
'The number of rows read from InnoDB tables.'
),
'Innodb_rows_updated' => __(
'The number of rows updated in InnoDB tables.'
),
'Key_blocks_not_flushed' => __(
'The number of key blocks in the key cache that have changed but'
. ' haven\'t yet been flushed to disk. It used to be known as'
. ' Not_flushed_key_blocks.'
),
'Key_blocks_unused' => __(
'The number of unused blocks in the key cache. You can use this'
. ' value to determine how much of the key cache is in use.'
),
'Key_blocks_used' => __(
'The number of used blocks in the key cache. This value is a'
. ' high-water mark that indicates the maximum number of blocks'
. ' that have ever been in use at one time.'
),
'Key_buffer_fraction_%' => __(
'Percentage of used key cache (calculated value)'
),
'Key_read_requests' => __(
'The number of requests to read a key block from the cache.'
),
'Key_reads' => __(
'The number of physical reads of a key block from disk. If Key_reads'
. ' is big, then your key_buffer_size value is probably too small.'
. ' The cache miss rate can be calculated as'
. ' Key_reads/Key_read_requests.'
),
'Key_read_ratio_%' => __(
'Key cache miss calculated as rate of physical reads compared'
. ' to read requests (calculated value)'
),
'Key_write_requests' => __(
'The number of requests to write a key block to the cache.'
),
'Key_writes' => __(
'The number of physical writes of a key block to disk.'
),
'Key_write_ratio_%' => __(
'Percentage of physical writes compared'
. ' to write requests (calculated value)'
),
'Last_query_cost' => __(
'The total cost of the last compiled query as computed by the query'
. ' optimizer. Useful for comparing the cost of different query'
. ' plans for the same query. The default value of 0 means that'
. ' no query has been compiled yet.'
),
'Max_used_connections' => __(
'The maximum number of connections that have been in use'
. ' simultaneously since the server started.'
),
'Not_flushed_delayed_rows' => __(
'The number of rows waiting to be written in INSERT DELAYED queues.'
),
'Opened_tables' => __(
'The number of tables that have been opened. If opened tables is'
. ' big, your table cache value is probably too small.'
),
'Open_files' => __(
'The number of files that are open.'
),
'Open_streams' => __(
'The number of streams that are open (used mainly for logging).'
),
'Open_tables' => __(
'The number of tables that are open.'
),
'Qcache_free_blocks' => __(
'The number of free memory blocks in query cache. High numbers can'
. ' indicate fragmentation issues, which may be solved by issuing'
. ' a FLUSH QUERY CACHE statement.'
),
'Qcache_free_memory' => __(
'The amount of free memory for query cache.'
),
'Qcache_hits' => __(
'The number of cache hits.'
),
'Qcache_inserts' => __(
'The number of queries added to the cache.'
),
'Qcache_lowmem_prunes' => __(
'The number of queries that have been removed from the cache to'
. ' free up memory for caching new queries. This information can'
. ' help you tune the query cache size. The query cache uses a'
. ' least recently used (LRU) strategy to decide which queries'
. ' to remove from the cache.'
),
'Qcache_not_cached' => __(
'The number of non-cached queries (not cachable, or not cached'
. ' due to the query_cache_type setting).'
),
'Qcache_queries_in_cache' => __(
'The number of queries registered in the cache.'
),
'Qcache_total_blocks' => __(
'The total number of blocks in the query cache.'
),
'Rpl_status' => __(
'The status of failsafe replication (not yet implemented).'
),
'Select_full_join' => __(
'The number of joins that do not use indexes. If this value is'
. ' not 0, you should carefully check the indexes of your tables.'
),
'Select_full_range_join' => __(
'The number of joins that used a range search on a reference table.'
),
'Select_range_check' => __(
'The number of joins without keys that check for key usage after'
. ' each row. (If this is not 0, you should carefully check the'
. ' indexes of your tables.)'
),
'Select_range' => __(
'The number of joins that used ranges on the first table. (It\'s'
. ' normally not critical even if this is big.)'
),
'Select_scan' => __(
'The number of joins that did a full scan of the first table.'
),
'Slave_open_temp_tables' => __(
'The number of temporary tables currently'
. ' open by the slave SQL thread.'
),
'Slave_retried_transactions' => __(
'Total (since startup) number of times the replication slave SQL'
. ' thread has retried transactions.'
),
'Slave_running' => __(
'This is ON if this server is a slave that is connected to a master.'
),
'Slow_launch_threads' => __(
'The number of threads that have taken more than slow_launch_time'
. ' seconds to create.'
),
'Slow_queries' => __(
'The number of queries that have taken more than long_query_time'
. ' seconds.'
),
'Sort_merge_passes' => __(
'The number of merge passes the sort algorithm has had to do.'
. ' If this value is large, you should consider increasing the'
. ' value of the sort_buffer_size system variable.'
),
'Sort_range' => __(
'The number of sorts that were done with ranges.'
),
'Sort_rows' => __(
'The number of sorted rows.'
),
'Sort_scan' => __(
'The number of sorts that were done by scanning the table.'
),
'Table_locks_immediate' => __(
'The number of times that a table lock was acquired immediately.'
),
'Table_locks_waited' => __(
'The number of times that a table lock could not be acquired'
. ' immediately and a wait was needed. If this is high, and you have'
. ' performance problems, you should first optimize your queries,'
. ' and then either split your table or tables or use replication.'
),
'Threads_cached' => __(
'The number of threads in the thread cache. The cache hit rate can'
. ' be calculated as Threads_created/Connections. If this value is'
. ' red you should raise your thread_cache_size.'
),
'Threads_connected' => __(
'The number of currently open connections.'
),
'Threads_created' => __(
'The number of threads created to handle connections. If'
. ' Threads_created is big, you may want to increase the'
. ' thread_cache_size value. (Normally this doesn\'t give a notable'
. ' performance improvement if you have a good thread'
. ' implementation.)'
),
'Threads_cache_hitrate_%' => __(
'Thread cache hit rate (calculated value)'
),
'Threads_running' => __(
'The number of threads that are not sleeping.'
)
);
}
?>
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