521 lines
25 KiB
PHP
521 lines
25 KiB
PHP
<?php
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/**
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* Displays a list of server status variables
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*/
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declare(strict_types=1);
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namespace PhpMyAdmin\Controllers\Server\Status;
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use PhpMyAdmin\DatabaseInterface;
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use PhpMyAdmin\Html\Generator;
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use PhpMyAdmin\ResponseRenderer;
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use PhpMyAdmin\Server\Status\Data;
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use PhpMyAdmin\Template;
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use PhpMyAdmin\Url;
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use function __;
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use function in_array;
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use function is_numeric;
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use function str_contains;
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class VariablesController extends AbstractController
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{
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/** @var DatabaseInterface */
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private $dbi;
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public function __construct(ResponseRenderer $response, Template $template, Data $data, DatabaseInterface $dbi)
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{
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parent::__construct($response, $template, $data);
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$this->dbi = $dbi;
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}
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public function __invoke(): void
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{
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global $errorUrl;
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$params = [
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'flush' => $_POST['flush'] ?? null,
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'filterAlert' => $_POST['filterAlert'] ?? null,
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'filterText' => $_POST['filterText'] ?? null,
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'filterCategory' => $_POST['filterCategory'] ?? null,
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'dontFormat' => $_POST['dontFormat'] ?? null,
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];
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$errorUrl = Url::getFromRoute('/');
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if ($this->dbi->isSuperUser()) {
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$this->dbi->selectDb('mysql');
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}
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$this->addScriptFiles([
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'server/status/variables.js',
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'vendor/jquery/jquery.tablesorter.js',
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'server/status/sorter.js',
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]);
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if (isset($params['flush'])) {
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$this->flush($params['flush']);
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}
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if ($this->data->dataLoaded) {
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$categories = [];
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foreach ($this->data->sections as $sectionId => $sectionName) {
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if (! isset($this->data->sectionUsed[$sectionId])) {
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continue;
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}
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$categories[$sectionId] = [
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'id' => $sectionId,
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'name' => $sectionName,
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'is_selected' => false,
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];
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if (empty($params['filterCategory']) || $params['filterCategory'] !== $sectionId) {
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continue;
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}
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$categories[$sectionId]['is_selected'] = true;
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}
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$links = [];
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foreach ($this->data->links as $sectionName => $sectionLinks) {
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$links[$sectionName] = [
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'name' => 'status_' . $sectionName,
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'links' => $sectionLinks,
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];
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}
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$descriptions = $this->getDescriptions();
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$alerts = $this->getAlerts();
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$variables = [];
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foreach ($this->data->status as $name => $value) {
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$variables[$name] = [
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'name' => $name,
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'value' => $value,
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'is_numeric' => is_numeric($value),
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'class' => $this->data->allocationMap[$name] ?? null,
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'doc' => '',
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'has_alert' => false,
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'is_alert' => false,
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'description' => $descriptions[$name] ?? '',
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'description_doc' => [],
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];
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// Fields containing % are calculated,
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// they can not be described in MySQL documentation
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if (! str_contains($name, '%')) {
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$variables[$name]['doc'] = Generator::linkToVarDocumentation(
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$name,
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$this->dbi->isMariaDB()
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);
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}
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if (isset($alerts[$name])) {
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$variables[$name]['has_alert'] = true;
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if ($value > $alerts[$name]) {
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$variables[$name]['is_alert'] = true;
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}
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}
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if (! isset($this->data->links[$name])) {
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continue;
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}
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foreach ($this->data->links[$name] as $linkName => $linkUrl) {
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$variables[$name]['description_doc'][] = [
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'name' => $linkName,
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'url' => $linkUrl,
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];
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}
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}
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}
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$this->render('server/status/variables/index', [
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'is_data_loaded' => $this->data->dataLoaded,
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'filter_text' => ! empty($params['filterText']) ? $params['filterText'] : '',
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'is_only_alerts' => ! empty($params['filterAlert']),
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'is_not_formatted' => ! empty($params['dontFormat']),
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'categories' => $categories ?? [],
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'links' => $links ?? [],
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'variables' => $variables ?? [],
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]);
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}
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/**
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* Flush status variables if requested
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*
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* @param string $flush Variable name
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*/
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private function flush(string $flush): void
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{
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$flushCommands = [
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'STATUS',
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'TABLES',
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'QUERY CACHE',
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];
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if (! in_array($flush, $flushCommands)) {
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return;
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}
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$this->dbi->query('FLUSH ' . $flush . ';');
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}
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/**
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* @return array
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*/
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private function getAlerts(): array
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{
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// name => max value before alert
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return [
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// lower is better
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// variable => max value
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'Aborted_clients' => 0,
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'Aborted_connects' => 0,
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'Binlog_cache_disk_use' => 0,
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'Created_tmp_disk_tables' => 0,
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'Handler_read_rnd' => 0,
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'Handler_read_rnd_next' => 0,
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'Innodb_buffer_pool_pages_dirty' => 0,
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'Innodb_buffer_pool_reads' => 0,
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'Innodb_buffer_pool_wait_free' => 0,
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'Innodb_log_waits' => 0,
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'Innodb_row_lock_time_avg' => 10, // ms
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'Innodb_row_lock_time_max' => 50, // ms
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'Innodb_row_lock_waits' => 0,
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'Slow_queries' => 0,
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'Delayed_errors' => 0,
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'Select_full_join' => 0,
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'Select_range_check' => 0,
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'Sort_merge_passes' => 0,
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'Opened_tables' => 0,
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'Table_locks_waited' => 0,
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'Qcache_lowmem_prunes' => 0,
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'Qcache_free_blocks' => isset($this->data->status['Qcache_total_blocks'])
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? $this->data->status['Qcache_total_blocks'] / 5
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: 0,
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'Slow_launch_threads' => 0,
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// depends on Key_read_requests
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// normally lower then 1:0.01
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'Key_reads' => isset($this->data->status['Key_read_requests'])
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? 0.01 * $this->data->status['Key_read_requests'] : 0,
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// depends on Key_write_requests
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// normally nearly 1:1
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'Key_writes' => isset($this->data->status['Key_write_requests'])
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? 0.9 * $this->data->status['Key_write_requests'] : 0,
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'Key_buffer_fraction' => 0.5,
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// alert if more than 95% of thread cache is in use
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'Threads_cached' => isset($this->data->variables['thread_cache_size'])
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? 0.95 * $this->data->variables['thread_cache_size'] : 0,
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// higher is better
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// variable => min value
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//'Handler read key' => '> ',
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];
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}
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/**
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* Returns a list of variable descriptions
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*
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* @return array
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*/
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private function getDescriptions(): array
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{
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/**
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* Messages are built using the message name
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*/
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return [
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'Aborted_clients' => __(
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'The number of connections that were aborted because the client died'
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. ' without closing the connection properly.'
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),
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'Aborted_connects' => __('The number of failed attempts to connect to the MySQL server.'),
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'Binlog_cache_disk_use' => __(
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'The number of transactions that used the temporary binary log cache'
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. ' but that exceeded the value of binlog_cache_size and used a'
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. ' temporary file to store statements from the transaction.'
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),
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'Binlog_cache_use' => __('The number of transactions that used the temporary binary log cache.'),
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'Connections' => __('The number of connection attempts (successful or not) to the MySQL server.'),
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'Created_tmp_disk_tables' => __(
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'The number of temporary tables on disk created automatically by'
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. ' the server while executing statements. If'
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. ' Created_tmp_disk_tables is big, you may want to increase the'
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. ' tmp_table_size value to cause temporary tables to be'
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. ' memory-based instead of disk-based.'
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),
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'Created_tmp_files' => __('How many temporary files mysqld has created.'),
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'Created_tmp_tables' => __(
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'The number of in-memory temporary tables created automatically'
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. ' by the server while executing statements.'
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),
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'Delayed_errors' => __(
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'The number of rows written with INSERT DELAYED for which some'
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. ' error occurred (probably duplicate key).'
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),
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'Delayed_insert_threads' => __(
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'The number of INSERT DELAYED handler threads in use. Every'
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. ' different table on which one uses INSERT DELAYED gets'
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. ' its own thread.'
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),
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'Delayed_writes' => __('The number of INSERT DELAYED rows written.'),
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'Flush_commands' => __('The number of executed FLUSH statements.'),
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'Handler_commit' => __('The number of internal COMMIT statements.'),
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'Handler_delete' => __('The number of times a row was deleted from a table.'),
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'Handler_discover' => __(
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'The MySQL server can ask the NDB Cluster storage engine if it'
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. ' knows about a table with a given name. This is called discovery.'
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. ' Handler_discover indicates the number of time tables have been'
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. ' discovered.'
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),
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'Handler_read_first' => __(
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'The number of times the first entry was read from an index. If this'
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. ' is high, it suggests that the server is doing a lot of full'
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. ' index scans; for example, SELECT col1 FROM foo, assuming that'
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. ' col1 is indexed.'
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),
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'Handler_read_key' => __(
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'The number of requests to read a row based on a key. If this is'
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. ' high, it is a good indication that your queries and tables'
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. ' are properly indexed.'
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),
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'Handler_read_next' => __(
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'The number of requests to read the next row in key order. This is'
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. ' incremented if you are querying an index column with a range'
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. ' constraint or if you are doing an index scan.'
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),
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'Handler_read_prev' => __(
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'The number of requests to read the previous row in key order.'
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. ' This read method is mainly used to optimize ORDER BY … DESC.'
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),
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'Handler_read_rnd' => __(
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'The number of requests to read a row based on a fixed position.'
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. ' This is high if you are doing a lot of queries that require'
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. ' sorting of the result. You probably have a lot of queries that'
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. ' require MySQL to scan whole tables or you have joins that'
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. ' don\'t use keys properly.'
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),
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'Handler_read_rnd_next' => __(
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'The number of requests to read the next row in the data file.'
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. ' This is high if you are doing a lot of table scans. Generally'
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. ' this suggests that your tables are not properly indexed or that'
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. ' your queries are not written to take advantage of the indexes'
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. ' you have.'
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),
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'Handler_rollback' => __('The number of internal ROLLBACK statements.'),
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'Handler_update' => __('The number of requests to update a row in a table.'),
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'Handler_write' => __('The number of requests to insert a row in a table.'),
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'Innodb_buffer_pool_pages_data' => __('The number of pages containing data (dirty or clean).'),
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'Innodb_buffer_pool_pages_dirty' => __('The number of pages currently dirty.'),
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'Innodb_buffer_pool_pages_flushed' => __(
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'The number of buffer pool pages that have been requested to be flushed.'
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),
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'Innodb_buffer_pool_pages_free' => __('The number of free pages.'),
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'Innodb_buffer_pool_pages_latched' => __(
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'The number of latched pages in InnoDB buffer pool. These are pages'
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. ' currently being read or written or that can\'t be flushed or'
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. ' removed for some other reason.'
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),
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'Innodb_buffer_pool_pages_misc' => __(
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'The number of pages busy because they have been allocated for'
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. ' administrative overhead such as row locks or the adaptive'
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. ' hash index. This value can also be calculated as'
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. ' Innodb_buffer_pool_pages_total - Innodb_buffer_pool_pages_free'
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. ' - Innodb_buffer_pool_pages_data.'
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),
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'Innodb_buffer_pool_pages_total' => __('Total size of buffer pool, in pages.'),
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'Innodb_buffer_pool_read_ahead_rnd' => __(
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'The number of "random" read-aheads InnoDB initiated. This happens'
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. ' when a query is to scan a large portion of a table but in'
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. ' random order.'
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),
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'Innodb_buffer_pool_read_ahead_seq' => __(
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'The number of sequential read-aheads InnoDB initiated. This'
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. ' happens when InnoDB does a sequential full table scan.'
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),
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'Innodb_buffer_pool_read_requests' => __('The number of logical read requests InnoDB has done.'),
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'Innodb_buffer_pool_reads' => __(
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'The number of logical reads that InnoDB could not satisfy'
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. ' from buffer pool and had to do a single-page read.'
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),
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'Innodb_buffer_pool_wait_free' => __(
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'Normally, writes to the InnoDB buffer pool happen in the'
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. ' background. However, if it\'s necessary to read or create a page'
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. ' and no clean pages are available, it\'s necessary to wait for'
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. ' pages to be flushed first. This counter counts instances of'
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. ' these waits. If the buffer pool size was set properly, this'
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. ' value should be small.'
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),
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'Innodb_buffer_pool_write_requests' => __('The number writes done to the InnoDB buffer pool.'),
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'Innodb_data_fsyncs' => __('The number of fsync() operations so far.'),
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'Innodb_data_pending_fsyncs' => __('The current number of pending fsync() operations.'),
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'Innodb_data_pending_reads' => __('The current number of pending reads.'),
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'Innodb_data_pending_writes' => __('The current number of pending writes.'),
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'Innodb_data_read' => __('The amount of data read so far, in bytes.'),
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'Innodb_data_reads' => __('The total number of data reads.'),
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'Innodb_data_writes' => __('The total number of data writes.'),
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'Innodb_data_written' => __('The amount of data written so far, in bytes.'),
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'Innodb_dblwr_pages_written' => __(
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'The number of pages that have been written for doublewrite operations.'
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),
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'Innodb_dblwr_writes' => __('The number of doublewrite operations that have been performed.'),
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'Innodb_log_waits' => __(
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'The number of waits we had because log buffer was too small and'
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. ' we had to wait for it to be flushed before continuing.'
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),
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'Innodb_log_write_requests' => __('The number of log write requests.'),
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'Innodb_log_writes' => __('The number of physical writes to the log file.'),
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'Innodb_os_log_fsyncs' => __('The number of fsync() writes done to the log file.'),
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'Innodb_os_log_pending_fsyncs' => __('The number of pending log file fsyncs.'),
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'Innodb_os_log_pending_writes' => __('Pending log file writes.'),
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'Innodb_os_log_written' => __('The number of bytes written to the log file.'),
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'Innodb_pages_created' => __('The number of pages created.'),
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'Innodb_page_size' => __(
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'The compiled-in InnoDB page size (default 16KB). Many values are'
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. ' counted in pages; the page size allows them to be easily'
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. ' converted to bytes.'
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),
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'Innodb_pages_read' => __('The number of pages read.'),
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'Innodb_pages_written' => __('The number of pages written.'),
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'Innodb_row_lock_current_waits' => __('The number of row locks currently being waited for.'),
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'Innodb_row_lock_time_avg' => __('The average time to acquire a row lock, in milliseconds.'),
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'Innodb_row_lock_time' => __('The total time spent in acquiring row locks, in milliseconds.'),
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'Innodb_row_lock_time_max' => __('The maximum time to acquire a row lock, in milliseconds.'),
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'Innodb_row_lock_waits' => __('The number of times a row lock had to be waited for.'),
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'Innodb_rows_deleted' => __('The number of rows deleted from InnoDB tables.'),
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'Innodb_rows_inserted' => __('The number of rows inserted in InnoDB tables.'),
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'Innodb_rows_read' => __('The number of rows read from InnoDB tables.'),
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'Innodb_rows_updated' => __('The number of rows updated in InnoDB tables.'),
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'Key_blocks_not_flushed' => __(
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'The number of key blocks in the key cache that have changed but'
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. ' haven\'t yet been flushed to disk. It used to be known as'
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. ' Not_flushed_key_blocks.'
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),
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'Key_blocks_unused' => __(
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'The number of unused blocks in the key cache. You can use this'
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. ' value to determine how much of the key cache is in use.'
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),
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'Key_blocks_used' => __(
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'The number of used blocks in the key cache. This value is a'
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. ' high-water mark that indicates the maximum number of blocks'
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. ' that have ever been in use at one time.'
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),
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'Key_buffer_fraction_%' => __('Percentage of used key cache (calculated value)'),
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'Key_read_requests' => __('The number of requests to read a key block from the cache.'),
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'Key_reads' => __(
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'The number of physical reads of a key block from disk. If Key_reads'
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. ' is big, then your key_buffer_size value is probably too small.'
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. ' The cache miss rate can be calculated as'
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. ' Key_reads/Key_read_requests.'
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),
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'Key_read_ratio_%' => __(
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'Key cache miss calculated as rate of physical reads compared to read requests (calculated value)'
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),
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'Key_write_requests' => __('The number of requests to write a key block to the cache.'),
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'Key_writes' => __('The number of physical writes of a key block to disk.'),
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'Key_write_ratio_%' => __('Percentage of physical writes compared to write requests (calculated value)'),
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'Last_query_cost' => __(
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'The total cost of the last compiled query as computed by the query'
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. ' optimizer. Useful for comparing the cost of different query'
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. ' plans for the same query. The default value of 0 means that'
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. ' no query has been compiled yet.'
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),
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'Max_used_connections' => __(
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'The maximum number of connections that have been in use simultaneously since the server started.'
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),
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'Not_flushed_delayed_rows' => __('The number of rows waiting to be written in INSERT DELAYED queues.'),
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'Opened_tables' => __(
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'The number of tables that have been opened. If opened tables is'
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. ' big, your table_open_cache value is probably too small.'
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),
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'Open_files' => __('The number of files that are open.'),
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'Open_streams' => __('The number of streams that are open (used mainly for logging).'),
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'Open_tables' => __('The number of tables that are open.'),
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'Qcache_free_blocks' => __(
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'The number of free memory blocks in query cache. High numbers can'
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. ' indicate fragmentation issues, which may be solved by issuing'
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. ' a FLUSH QUERY CACHE statement.'
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),
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'Qcache_free_memory' => __('The amount of free memory for query cache.'),
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'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 replica SQL thread.'),
|
|
'Slave_retried_transactions' => __(
|
|
'Total (since startup) number of times the replication replica SQL thread has retried transactions.'
|
|
),
|
|
'Slave_running' => __('This is ON if this server is a replica that is connected to a primary.'),
|
|
'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.'),
|
|
];
|
|
}
|
|
}
|