将数据库连接信息、查询条件、标题信息替换为真实数据即可使用。
<?phpset_time_limit(0);ini_set('memory_limit', '128m'); $filename = date('ymdhis', time());header('content-encoding: utf-8');header("content-type:application/vnd.ms-excel;charset=utf-8");header('content-disposition: attachment;filename="' . $filename . '.csv"'); //打开php标准输出流//以写入追加的方式打开$fp = fopen('php://output', 'a');//连接数据库$dbhost = '127.0.0.1';$dbuser = 'root';$dbpwd = '';$con = mysqli_connect($dbhost, $dbuser, $dbpwd);if (mysqli_connect_errno()) { die('connect error');}//选择数据库$database = 'test';mysqli_select_db($con, $database);//设置编码mysqli_query($con, "set names utf8"); //我们试着用fputcsv从数据库中导出1百万的数据//我们每次取1万条数据，分100步来执行//如果线上环境无法支持一次性读取1万条数据，可把$nums调小，$step相应增大。$step = 100;$nums = 10000;$where = ""; //筛选条件 //设置标题$title = array('id','姓名‘,'年龄','性别');foreach($title as $key => $item) { $title[$key] =iconv("utf-8", "gbk", $item);}//将标题写到标准输出中fputcsv($fp, $title);for($s = 1; $s <= $step; $s++) { $start = ($s - 1) * $nums; $result = mysqli_query($con,"select * from `test` ".$where." order by `id` limit {$start},{$nums}"); if($result) { while($row = mysqli_fetch_assoc($result)) { foreach($row as $key => $item) { //这里必须转码，不然会乱码 $row[$key] = iconv("utf-8", "gbk", $item); } fputcsv($fp, $row); } mysqli_free_result($result); //释放结果集资源 //每1万条数据就刷新缓冲区 ob_flush(); flush(); }}//断开连接mysqli_close($con);
以上就是php实现从数据库导出百万级数据的代码实例(csv文件)的详细内容。