带有存储上传触发器的 Azure 函数 (Python) 因大文件上传而失败

Azure Function (Python) w/ Storage Upload Trigger Fails with Large File Uploads(带有存储上传触发器的 Azure 函数 (Python) 因大文件上传而失败)

问题描述

从文件上传到 Azure 存储触发的 Azure 函数 (Python).该功能适用​​于最大 ~120MB 的文件.我刚刚用一个 2GB 的文件进行了负载测试，该函数产生了错误 Stream is too long.

Azure Function (Python) triggered from file uploads to Azure Storage. Function works fine for files up to ~120MB. I just load tested with a 2GB file and the function produced the error Stream was too long.

• 此限制记录在哪里?
• 如何使用 Python 克服它?

使用 boto3 库将文件 PUT 到 AWS S3

Using boto3 library to PUT files to AWS S3

def main(myblob: func.InputStream):
        logging.info(f"Python blob trigger function processed blob 
"
                                 f"Name: {myblob.name}
"
                                 f"Blob Size: {myblob.length} bytes")

        myblobBytes = myblob.read()

        fileName = pathlib.Path(myblob.name).name

        s3 = boto3.resource(
                's3',
                aws_access_key_id="youguessedit",
                aws_secret_access_key="noyoudidnt",
        )

        response=s3.Bucket(bucketName).put_object(Key="folder/" + fileName, 
        Body=myblobBytes, ContentMD5=md5Checksum)
        
        response.wait_until_exists()

推荐答案

将 boto3 从 put_object 更改为 upload_fileobj 并设置 TransferConfig for multipart_threshold=1024*25, max_concurrency=10, multipart_chunksize=1024*25, use_threads=True.

Changed boto3 from put_object to upload_fileobj and setup TransferConfig for multipart_threshold=1024*25, max_concurrency=10, multipart_chunksize=1024*25, use_threads=True.

现在撕！

能够在 89 秒内传输 2GB！还不错.

Able to transfer 2GB in 89secs! Not bad.

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