Firebase云功能[错误:超出内存限制.函数调用被中断.]在youtube视频上载

问题描述

我正尝试使用Firebase云功能将视频上传到youtube.

I was trying to upload videos to youtube using the firebase cloud function.

我需要的是，当用户将视频上传到Firebase云存储时，functions.storage.object().onFinalize事件将被触发，并且在该事件中，我将文件存储到一个临时位置并将文件上传到youtube从临时位置到youtube，在上传后我删除了这两个文件.

What I need is when a user uploads a video to firebase cloud storage, functions.storage.object().onFinalize event will get triggered and in that event, I store the file to a temporary location and upload the file to youtube from the temp location to youtube, after uploading I delete both files.

对于小文件，它会很好地工作.

It will work fine for small files.

但是，如果我上传了一个大文件，则该功能会由于显示此错误而终止

But if I upload a large file then the function is getting terminated by showing this error

错误:超出内存限制.函数调用被中断.

上传视频的代码

   var requestData = {
        'params': {
        'part': 'snippet,status'
        },
        'properties': {
        'snippet.categoryId': '22',
        'snippet.defaultLanguage': '',
        'snippet.description': "docdata.shortDesc",
        'snippet.tags[]': '',
        'snippet.title': "docdata.title",
        'status.embeddable': '',
        'status.license': '',
        'status.privacyStatus': 'public',
        'status.publicStatsViewable': ''
        }, 'mediaFilename': tempLocalFile
    };

    insertVideo(tempLocalFile, oauth2Client, requestData);

插入视频功能

function insertVideo( file, oauth2Client, requestData) {
    return new Promise((resolve,reject)=>{
        google.options({ auth: oauth2Client });
        var parameters = removeEmptyParameters(requestData['params']);
        parameters['auth'] = oauth2Client;
        parameters['media'] = { body:  fs.createReadStream(requestData['mediaFilename'])};
        parameters['notifySubscribers'] = false;
        parameters['resource'] = createResource(requestData['properties']);

        console.log("INSERT >>> ");
        let req = google.youtube('v3').videos.insert(parameters,  (error, received)=> {
            if (error) {
                console.log("in error")
                console.log(error);
                try {
                    fs.unlinkSync(file);
                } catch (err) {
                    console.log(err);
                } finally{
                    // response.status(200).send({ error: error })
                }
                reject(error)
            } else {
                console.log("in else")
                console.log(received.data)
                fs.unlinkSync(file);
                resolve();
            }
        }); 
    })

}

用于创建临时本地文件的代码

code for creating temp local file

           bucket.file(filePath).createReadStream()
            .on('error', (err)=> {
                reject(err)
            })
            .on('response', (response)=> {
                console.log(response)
            })
            .on('end', ()=> {
                console.log("The file is fully downloaded");
                resolve();
            })
            .pipe(fs.createWriteStream(tempLocalFile));

每个文件的读写都由流处理，任何关于为什么发生内存问题的想法

Every file read and write is handled by streams, any idea on why the memory issue is happening

推荐答案

Cloud Functions中文件系统的唯一可写部分是/tmp目录.根据文档此处:

The only writeable part of the filesystem in Cloud Functions is the /tmp directory. As per the documentation here:

这就是为什么您使用更大的文件来达到内存限制的原因.

This is why you hit the memory limit with bigger files.

您的选择是:

• 为您的功能分配更多内存(当前最多2 GB)
• 从可以写入文件系统的环境中执行上载.例如，您的Cloud Function可以调用App Engine Flexible服务来执行上传.

这篇关于Firebase云功能[错误:超出内存限制.函数调用被中断.]在youtube视频上载的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！