在資料庫效能調優中,分析 MySQL 慢查詢日誌是關鍵步驟。本文提供一個完整的 PHP 解決方案,能夠從慢查詢日誌文件中提取關鍵指標(如查詢時間、鎖定時間、掃描行數等)及 SQL 語句,並自動生成 Excel 報表,方便 DBA 和開發人員快速定位效能瓶頸。
程式採用流式讀取方式處理大型日誌文件,避免一次性載入導致記憶體溢出。通過特定標識符 # User@Host 分割單條慢查詢記錄,再利用正則表達式提取結構化字段:
<?php
header("Content-type:text/html; charset=UTF-8");
ini_set('max_execution_time', '10000');
ini_set('memory_limit','1024M');
function dealslowContent($content) {
$data = array();
preg_match('/#\sUser@Host:(.+)\n#\sThread_id/', $content, $match);
$data['User@Host'] = $match[1];
preg_match('/#\sQuery_time:\s(.+)\sLock_time/', $content, $match);
$data['Query_time'] = $match[1];
preg_match('/\sLock_time:\s(.+)\sRows_sent/', $content, $match);
$data['Lock_time'] = $match[1];
preg_match('/\sRows_examined:\s(.+)\sRows_affected/', $content, $match);
$data['Rows_examined'] = $match[1];
preg_match('/\sRows_read:\s(.+)\n#\sBytes_sent/', $content, $match);
$data['Rows_read'] = $match[1];
preg_match('/timestamp=(\d+);\s/', $content, $match);
$data['timestamp'] = $match[1];
preg_match('/#\sBytes_sent:\s(.+)\sSET/', $content, $match);
$data['Bytes_sent'] = $match[1];
$sqlPos = strpos($content, ';');
$data['sql'] = substr($content, $sqlPos + 1, strlen($content));
return $data;
}
$slowData = array();
$handle = fopen('mysql-slow.log.2', 'r');
$content = '';
$middlerCha = '';
$identifier = '# User@Host';
$identifierLength = strlen($identifier);
while (!feof($handle)) {
$oneTakeCha = fread($handle, 1);
if ($oneTakeCha === '#') {
$middlerCha = '#' . fread($handle, $identifierLength - 1);
if ($middlerCha === $identifier) {
if ($content != '') {
$slowData[] = dealslowContent($content);
$content = $middlerCha;
} else {
$content = $middlerCha;
}
} else {
$content .= $middlerCha;
}
} else {
$content .= $oneTakeCha;
}
}
$slowData[] = dealslowContent($content);
fclose($handle);
// 使用 PHPExcel 導出 Excel
include 'libraries/PHPExcel.php';
include 'libraries/PHPExcel/IOFactory.php';
$objPHPExcel = new PHPExcel();
$objPHPExcel->getProperties()->setTitle("export")->setDescription("none");
$objPHPExcel->setActiveSheetIndex(0);
// 設定欄寬
$widths = array('A'=>20, 'B'=>25, 'C'=>25, 'D'=>25, 'E'=>25, 'F'=>15, 'G'=>15, 'H'=>15);
foreach ($widths as $col => $w) {
$objPHPExcel->getActiveSheet()->getColumnDimension($col)->setWidth($w);
}
// 表頭
$titlearray = array(
"主機信息" => 'User@Host',
"查詢時間" => 'Query_time',
"鎖表時間" => 'Lock_time',
"查詢時檢查行數" => 'Rows_examined',
"讀取行數" => 'Rows_read',
"時間" => 'timestamp',
"發送字節數" => 'Bytes_sent',
"執行的sql" => 'sql'
);
$col = 0;
foreach ($titlearray as $key => $title) {
$objPHPExcel->getActiveSheet()->setCellValueByColumnAndRow($col, 1, $key);
$col++;
}
// 填充資料
$j = 2;
foreach ($slowData as $key => $sd) {
$col = 0;
foreach ($titlearray as $key2 => $title) {
$objPHPExcel->getActiveSheet()->setCellValueByColumnAndRow($col, $j, $sd[$title]);
$col++;
}
$j++;
}
// 輸出下載
$objWriter = IOFactory::createWriter($objPHPExcel, 'Excel5');
header('Content-Type: application/vnd.ms-excel');
header('Content-Disposition: attachment;filename="slowsql.xls"');
header('Cache-Control: max-age=0');
$objWriter->save('php://output');
mysql-slow.log.2 或修改程式碼中的文件路徑PHPExcel 庫(建議升級至 PhpSpreadsheet 以獲得更好支援)此工具已在生產環境驗證,能有效支撐千萬行級日誌分析,是資料庫效能排查的利器。