导出数据量很大的情况下，生成excel的内存需求非常庞大，服务器吃不消，这个时候考虑生成csv来解决问题，cvs读写性能比excel高。
测试表student 数据(大家可以脚本插入300多万测数据。这里只给个简单的示例了)
set names utf8mb4;set foreign_key_checks = 0;-- ------------------------------ table structure for student-- ----------------------------drop table if exists `student`;create table `student` ( `id` int(11) not null auto_increment, `stuno` varchar(32) character set utf8 collate utf8_general_ci not null, `stuname` varchar(10) character set utf8 collate utf8_general_ci not null, `stuage` int(11) null default null, primary key (`id`) using btree) engine = innodb auto_increment = 12 character set = utf8 collate = utf8_general_ci row_format = compact;-- ------------------------------ records of student-- ----------------------------insert into `student` values (1, 'a001', '小明', 22);insert into `student` values (2, 'a005', '小李', 23);insert into `student` values (3, 'a007', '小红', 24);insert into `student` values (4, 'a003', '小明', 22);insert into `student` values (5, 'a002', '小李', 23);insert into `student` values (6, 'a004', '小红', 24);insert into `student` values (7, 'a006', '小王', 25);insert into `student` values (8, 'a008', '乔峰', 27);insert into `student` values (9, 'a009', '欧阳克', 22);insert into `student` values (10, 'a010', '老顽童', 34);insert into `student` values (11, 'a011', '黄老邪', 33);set foreign_key_checks = 1;
导出脚本export.php
<?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="' . $filename . '.csv"');//注意，数据量在大的情况下。比如导出几十万到几百万，会出现504 gateway time-out,请修改php.ini的max_execution_time参数//打开php标准输出流以写入追加的方式打开$fp = fopen('php://output', 'a');//连接数据库$dbhost = '127.0.0.1';$dbuser = 'root';$dbpwd = 'root';$con = mysqli_connect($dbhost, $dbuser, $dbpwd);if (mysqli_connect_errno()) die('connect error');$database = 'test';//选择数据库mysqli_select_db($con, $database);mysqli_query($con, "set names utf8");//如果需要请设置编码//用fputcsv从数据库中导出1百万的数据,比如我们每次取1万条数据，分100步来执行//一次性读取1万条数据，也可以把$nums调小，$step相应增大。$step = 100;$nums = 10000;$where = "where 1=1"; //筛选条件,可自行添加//设置标题$title = array('id', '编号', '姓名', '年龄'); //注意这里是小写id,否则id命名打开会提示excel 已经检测到"xxx.xsl"是sylk文件,但是不能将其加载: csv 文或者xls文件的前两个字符是大写字母"i"，"d"时，会发生此问题。foreach ($title as $key => $item) $title[$key] = iconv("utf-8", "gb2312//ignore", $item);fputcsv($fp, $title);for ($s = 1; $s <= $step; $s++) { $start = ($s - 1) * $nums; $result = mysqli_query($con, "select id,stuno,stuname,stuage from `student` " . $where . " order by `id` limit {$start},{$nums}"); if ($result) { while ($row = mysqli_fetch_assoc($result)) { foreach ($row as $key => $item) $row[$key] = iconv("utf-8", "gbk", $item); //这里必须转码，不然会乱码 fputcsv($fp, $row); } mysqli_free_result($result); //释放结果集资源 ob_flush(); //每1万条数据就刷新缓冲区 flush(); }}mysqli_close($con);//断开连接
导出效果：
相关教程：php视频教程
以上就是如何对php导出的海量数据进行优化的详细内容。