Current Path : /home/theafprt/fnf.group/wp-content/plugins/w3-total-cache/ |
Current File : //home/theafprt/fnf.group/wp-content/plugins/w3-total-cache/UsageStatistics_Source_DbQueriesLog.php |
<?php /** * File: UsageStatistics_Source_DbQueriesLog.php * * @package W3TC */ namespace W3TC; /** * Class UsageStatistics_Source_DbQueriesLog * * Database queries debug log reader - provides data from this logfile * * phpcs:disable WordPress.PHP.NoSilencedErrors.Discouraged * phpcs:disable WordPress.WP.AlternativeFunctions */ class UsageStatistics_Source_DbQueriesLog { /** * The timestamp representing the start time for filtering log entries. * * @var int */ private $timestamp_start; /** * The column by which the log entries should be sorted. * * @var string */ private $sort_column; /** * The associative array holding query data by query string. * * @var array */ private $by_query = array(); /** * Flag indicating whether more log entries are needed for parsing. * * @var bool */ private $more_log_needed = true; /** * Constructor for initializing the object with a start timestamp and sort column. * * @param int $timestamp_start The timestamp representing the start time for filtering log entries. * @param string $sort_column The column by which the log entries should be sorted. * * @return void */ public function __construct( $timestamp_start, $sort_column ) { $this->timestamp_start = $timestamp_start; $this->sort_column = $sort_column; } /** * Retrieves and processes log entries, sorting them based on the specified column, and returns the top 200 entries. * * This method reads the log file from the end, processes the data, and filters based on the timestamp. * The results are returned as an array containing various statistics such as query counts, average size, and time. * * @return array An array of sorted log entries containing statistics about queries such as total count, hit count, * average size, average time, total time, and reasons. * * @throws \Exception If the log file cannot be opened. */ public function list_entries() { $log_filename = Util_Debug::log_filename( 'dbcache-queries' ); $h = @fopen( $log_filename, 'rb' ); if ( ! $h ) { throw new \Exception( \esc_html( sprintf( // translators: 1 Log filename. \__( 'Failed to open log file %1$s.', 'w3-total-cache' ), $log_filename ) ) ); } fseek( $h, 0, SEEK_END ); $pos = ftell( $h ); $unparsed_head = ''; while ( $pos >= 0 && $this->more_log_needed ) { $pos -= 8192; if ( $pos <= 0 ) { $pos = 0; } fseek( $h, $pos ); $s = fread( $h, 8192 ); $unparsed_head = $this->parse_string( $s . $unparsed_head, $pos > 0 ); if ( $pos <= 0 ) { $this->more_log_needed = false; } } $output = array(); foreach ( $this->by_query as $query => $data ) { $output[] = array( 'query' => $query, 'count_total' => $data['count_total'], 'count_hit' => $data['count_hit'], 'avg_size' => (int) ( $data['sum_size'] / $data['count_total'] ), 'avg_time_ms' => (int) ( $data['sum_time_ms'] / $data['count_total'] ), 'sum_time_ms' => (int) $data['sum_time_ms'], 'reasons' => $data['reasons'], ); } usort( $output, function ( $a, $b ) { return (int) ( $b[ $this->sort_column ] ) - (int) ( $a[ $this->sort_column ] ); } ); $output = array_slice( $output, 0, 200 ); return $output; } /** * Parses a string of log data, processing individual lines and pushing relevant information to be analyzed. * * This method processes a chunk of log data, handling the option to skip the first line and breaking the data into * individual lines for further analysis. * * @param string $s The log data string to be parsed. * @param bool $skip_first_line Whether to skip the first line of the string. * * @return string The unparsed head of the log data, if any. */ private function parse_string( $s, $skip_first_line ) { $s_length = strlen( $s ); $unparsed_head = ''; $n = 0; if ( $skip_first_line ) { for ( ; $n < $s_length; $n++ ) { $c = substr( $s, $n, 1 ); if ( "\r" === $c || "\n" === $c ) { $unparsed_head = substr( $s, 0, $n + 1 ); break; } } } $line_start = $n; for ( ; $n < $s_length; $n++ ) { $c = substr( $s, $n, 1 ); if ( "\r" === $c || "\n" === $c ) { if ( $n > $line_start ) { $this->push_line( substr( $s, $line_start, $n - $line_start ) ); } $line_start = $n + 1; } } return $unparsed_head; } /** * Processes a single line of log data, extracting relevant information and updating the query statistics. * * This method parses a line of log data, updating the query statistics for the given query (e.g., count, size, time, etc.). * It also checks if more log data is needed based on the timestamp and ensures that data for each query is stored appropriately. * * @param string $line The log line to be processed. * * @return void */ private function push_line( $line ) { $matches = str_getcsv( $line, "\t" ); if ( ! $matches ) { return; } $date_string = $matches[0]; $query = $matches[2]; $time_taken_ms = isset( $matches[3] ) ? (float) $matches[3] / 1000 : 0; $reason = isset( $matches[4] ) ? $matches[4] : ''; $hit = isset( $matches[5] ) ? $matches[5] : false; $size = isset( $matches[6] ) ? $matches[6] : 0; $time = strtotime( $date_string ); // dont read more if we touched entries before timeperiod of collection. if ( $time < $this->timestamp_start ) { $this->more_log_needed = false; } if ( ! isset( $this->by_query[ $query ] ) ) { $this->by_query[ $query ] = array( 'count_total' => 0, 'count_hit' => 0, 'sum_size' => 0, 'sum_time_ms' => 0, 'reasons' => array(), ); } ++$this->by_query[ $query ]['count_total']; if ( $hit ) { ++$this->by_query[ $query ]['count_hit']; } $this->by_query[ $query ]['sum_size'] += $size; $this->by_query[ $query ]['sum_time_ms'] += $time_taken_ms; if ( ! in_array( $reason, $this->by_query[ $query ]['reasons'], true ) ) { $this->by_query[ $query ]['reasons'][] = $reason; } } }