Over my node.js application I decode base64 encoded images using the following line of code:
在我的节点。js应用程序I解码base64编码图像,使用以下代码行:
const fileDataDecoded = Buffer.from(base64EncodedfileData,'base64');
So far I can write a file with the following piece of code:
到目前为止,我可以用以下代码编写一个文件:
const fs = require('fs');
....
const fileDataDecoded = Buffer.from(base64EncodedfileData,'base64');
fs.writeFile("/tmp/test.png", fileDataDecoded, function(err) {
//Handle Error
});
Now what I want to achieve is the decoded files via the buffer to get written into a file via streams in order to acheive better efficiency on the executed application.
现在我想实现的是通过缓冲区解码文件,通过流写入文件,以便在执行的应用程序上获得更好的效率。
In other words I want the filedata to get written at the same time that the data is getting base64-decoded, in order to write large files with an efficient way. If is not possible via a Buffer to stream base64 decoded data then I would like to know how is possible to decode base64 data.
换句话说,我希望在数据被base64解码的同时编写文件数据,以便以一种有效的方式编写大型文件。如果不可能通过缓冲区来流base64解码数据,那么我想知道如何解码base64数据。
1 个解决方案
#1
2
You can create a readable stream and push the image buffer. Then pipe it to a writeable stream like this.
您可以创建一个可读的流并推动图像缓冲区。然后像这样将它连接到一个可写的流。
var base64 = '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';
var fs = require('fs')
var Readable = require('stream').Readable
const imgBuffer = Buffer.from(base64, 'base64')
var s = new Readable()
s.push(imgBuffer)
s.push(null)
s.pipe(fs.createWriteStream("test.png"));
#1
2
You can create a readable stream and push the image buffer. Then pipe it to a writeable stream like this.
您可以创建一个可读的流并推动图像缓冲区。然后像这样将它连接到一个可写的流。
var base64 = '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';
var fs = require('fs')
var Readable = require('stream').Readable
const imgBuffer = Buffer.from(base64, 'base64')
var s = new Readable()
s.push(imgBuffer)
s.push(null)
s.pipe(fs.createWriteStream("test.png"));