<?php
/* put your text file location here ... */
define( 'TEXT_SRC', '/path/to/your.text.file.txt' );
/* put the url which you wanna post data to here ... */
define( 'DATA_URL', 'http://the.url.data/goes.to' );
/* put post field name here ... */
define( 'POST_PFX', 'data' );
/* read million data from source ... */
$text_src = file(
TEXT_SRC, FILE_IGNORE_NEW_LINES | FILE_SKIP_EMPTY_LINES
);
/* hey here comes cURL ... */
$curl = curl_init();
/* prepare cURL and make a very fashion UA header ... */
curl_setopt_array( $curl, [
CURLOPT_URL => DATA_URL,
CURLOPT_USERAGENT =>
'Mozilla/1.22 (compatible; MSIE 2.0; Windows 3.1)',
CURLOPT_RETURNTRANSFER => 1,
CURLOPT_POST => 1,
] );
/* something to handle cURL result ... */
$callback = function( $result ) {
return;
};
/* time for our BIG LOOOOOOOP ! */
foreach( $text_src as $data ) {
/* fill data ... */
curl_setopt( $curl, CURLOPT_POSTFIELDS, POST_PFX . '=' . $data );
/* and send them out ! */
$callback( curl_exec( $curl ) );
}
/* you have had a long flight ... time for rest ... */
curl_close( $curl );
text = open("__init__.py")
import urllib
while True:
line = text.readline()
if not line:
break
params = urllib.urlencode({'arg': line})
f = urllib.urlopen("http://UrUrl", params)
print f.read()
text.close()
import requests
file = open("text.txt")
for text in file.readlines():
data = {"data":text}
resp = requests.get(url=url, data=data)
print resp.text
file.close()
![[Web front-end] Node.js quick start](https://img.php.cn/upload/course/000/000/067/662b5d34ba7c0227.png)
一个写的比一个短你们这是逼我啊 ... 要比拼 Hello World 么 ..?
awk '{ system( "curl -d \"data=" $0 "\" http://url" ) }' file.txtawk 单行搞定 ...
有轮子的时候用轮子 ... 没有轮子的时候就自己造一个轮子好了 ...
好吧其实我就是突然有一点点闲时间可以帮你写写代码这样 ...
<?php /* put your text file location here ... */ define( 'TEXT_SRC', '/path/to/your.text.file.txt' ); /* put the url which you wanna post data to here ... */ define( 'DATA_URL', 'http://the.url.data/goes.to' ); /* put post field name here ... */ define( 'POST_PFX', 'data' ); /* read million data from source ... */ $text_src = file( TEXT_SRC, FILE_IGNORE_NEW_LINES | FILE_SKIP_EMPTY_LINES ); /* hey here comes cURL ... */ $curl = curl_init(); /* prepare cURL and make a very fashion UA header ... */ curl_setopt_array( $curl, [ CURLOPT_URL => DATA_URL, CURLOPT_USERAGENT => 'Mozilla/1.22 (compatible; MSIE 2.0; Windows 3.1)', CURLOPT_RETURNTRANSFER => 1, CURLOPT_POST => 1, ] ); /* something to handle cURL result ... */ $callback = function( $result ) { return; }; /* time for our BIG LOOOOOOOP ! */ foreach( $text_src as $data ) { /* fill data ... */ curl_setopt( $curl, CURLOPT_POSTFIELDS, POST_PFX . '=' . $data ); /* and send them out ! */ $callback( curl_exec( $curl ) ); } /* you have had a long flight ... time for rest ... */ curl_close( $curl );运行的话需要 php 5.4.0 以上的版本和 cURL 扩展 ... 前三行是配置区需要自行修改 ...
另外程序是以牺牲内存为代价提升效率的 ... 因为我觉得说只有几十万行的话应该文件不会太大 ...
程序会把那个文本文档一股脑读进内存 ... 所以如果要处理更多数据的话还要修改 ...
恩 ... 就是这样 ... 看看是不是你想要的效果呢 ..?
这种事情太适合用PYTHON来实现了。简单的代码如下：
text = open("__init__.py") import urllib while True: line = text.readline() if not line: break params = urllib.urlencode({'arg': line}) f = urllib.urlopen("http://UrUrl", params) print f.read() text.close()如果需要的话还可以加入连接超时然后重新发起请求，还可以使用多线程来减少整个的时间。
不太清楚你说的是一次 HTTP 请求还是多次请求。如果需要一次请求发送几十万行的文本数据，中间非常容易断掉。如果是多次请求，每次请求发送一行文本数据，可以试试看 curl 。不同的编程语言都有不同的实现方法，具体请查阅对应语言的官方文档。
nodejs:
lineArray = [] request = require 'request' lineArray.forEach (line)-> request.post line试试apache的ab，或者类似的siege， http_load
js: for(var i=0;i<n;++i){window.open(url);}
import requests file = open("text.txt") for text in file.readlines(): data = {"data":text} resp = requests.get(url=url, data=data) print resp.text file.close()你们为什么一定要比短....