场景和痛点

说明

今天因为一个老同学找我，说自己公司的物流业务都是现在用excel处理，按月因为数据量大，一个excel差不多有百万数据，文件有接近100M，打开和搜索就相当的慢

联想到场景：要导入数据，可能excel数据量很大，这里利用常用的一些方法比如phpexcel会常有时间和内存限制问题

下面我们就利用一个利用流处理的类库SpreadsheetReader来做大excel的读取

编写过程

说明

关键具体在代码里注释

代码

<?php
/*** Created by PhpStorm.* User: qkl* Date: 2018/7/11* Time: 15:14*/set_time_limit(0);   // 设置脚本最大执行时间 为0 永不过期
//ini_set('memory_limit','200M');    // 临时设置最大内存占用function convert($size)
{$unit = array('b', 'kb', 'mb', 'gb', 'tb', 'pb');return @round($size / pow(1024, ($i = floor(log($size, 1024)))), 2) . ' ' . $unit[$i];
}require '../vendor/autoload.php';$start = memory_get_usage();
echo convert($start) . PHP_EOL;
//$inputFileName = './11111111.xlsx';
$inputFileName = './example1.xlsx';// If you need to parse XLS files, include php-excel-reader$startTime = microtime(true);$Reader = new SpreadsheetReader($inputFileName);//获取当前文件所有的工作表
$sheets = $Reader->Sheets();
if (!$sheets) {die("没有工作表");
}//改变当前处理的工作表
$Reader->ChangeSheet(0);//打印当前所在工作表的当前所在行数据
var_dump($Reader->current());//因为reader类集成了Iter所以可以用迭代方式处理
//这里提醒 如果文件超大，这边的处理速度会过慢，不过不会引发内存性能问题
//$i = 0;
//foreach ($Reader as $Row)
//{
//    if ($i>=3) {
//        break;
//    }
//
//    echo $i . PHP_EOL;
//    print_r($Row);
//
//    $i++;
//}$endTime = microtime(true);
$memoryUse = memory_get_usage();echo "内存占用：" . convert($memoryUse) . "; 用时：" . ($endTime - $startTime) . PHP_EOL;

结果

测试说明

上面读取的example1.xlsx文件有100M左右，读写过慢，测试只开了读取当前默认工作表的当前所在行数据
因数据敏感，已做屏蔽

日志记录内存使用率

147.77 kb
array (size=50)0 => string 'xxxxxxxxxxxxxx' (length=25)1 => string 'xxxxxxxxxxxxxx' (length=15)2 => string 'xxxxxxxxxxxxxx' (length=18)3 => string 'xxxxxxxxxxxxxx' (length=12)4 => string 'xxxxxxxxxxxxxx' (length=12)5 => string 'xxxxxxxxxxxxxx' (length=12)6 => string 'xxxxxxxxxxxxxx' (length=24)7 => string 'xxxxxxxxxxxxxx' (length=12)8 => string 'xxxxxxxxxxxxxx' (length=27)9 => string 'xxxxxxxxxxxxxx' (length=12)10 => string 'xxxxxxxxxxxxxx' (length=15)11 => string 'xxxxxxxxxxxxxx' (length=28)12 => string 'xxxxxxxxxxxxxx' (length=9)13 => string 'xxxxxxxxxxxxxx' (length=12)14 => string 'xxxxxxxxxxxxxx' (length=9)15 => string 'xxxxxxxxxxxxxx' (length=6)16 => string 'xxxxxxxxxxxxxx' (length=9)17 => string 'xxxxxxxxxxxxxx' (length=3)18 => string 'xxxxxxxxxxxxxx' (length=6)19 => string 'xxxxxxxxxxxxxx' (length=3)20 => string 'xxxxxxxxxxxxxx' (length=15)21 => string 'xxxxxxxxxxxxxx' (length=15)22 => string 'xxxxxxxxxxxxxx' (length=19)23 => string 'xxxxxxxxxxxxxx' (length=13)24 => string 'xxxxxxxxxxxxxx' (length=19)25 => string 'xxxxxxxxxxxxxx' (length=12)26 => string 'xxxxxxxxxxxxxx' (length=12)27 => string 'xxxxxxxxxxxxxx' (length=12)28 => string 'xxxxxxxxxxxxxx' (length=6)29 => string 'xxxxxxxxxxxxxx' (length=12)30 => string 'xxxxxxxxxxxxxx' (length=6)31 => string 'xxxxxxxxxxxxxx' (length=15)32 => string 'xxxxxxxxxxxxxx' (length=24)33 => string 'xxxxxxxxxxxxxx' (length=18)34 => string 'xxxxxxxxxxxxxx' (length=18)35 => string 'xxxxxxxxxxxxxx' (length=24)36 => string 'xxxxxxxxxxxxxx' (length=12)37 => string 'xxxxxxxxxxxxxx' (length=18)38 => string 'xxxxxxxxxxxxxx' (length=21)39 => string 'xxxxxxxxxxxxxx' (length=9)40 => string 'xxxxxxxxxxxxxx' (length=9)41 => string 'xxxxxxxxxxxxxx' (length=18)42 => string 'xxxxxxxxxxxxxx' (length=21)43 => string 'xxxxxxxxxxxxxx' (length=15)44 => string 'xxxxxxxxxxxxxx' (length=12)45 => string 'xxxxxxxxxxxxxx' (length=6)46 => string 'xxxxxxxxxxxxxx' (length=12)47 => string 'xxxxxxxxxxxxxx' (length=22)48 => string 'xxxxxxxxxxxxxx' (length=22)49 => string '' (length=0)内存占用：207.55 kb; 用时：9.5835480690002