Flutter upload files to AWS s3 faster with upload progress - amazon-web-services

am facing a problem while uploading one or more files i.e images/videos to AWS s3 bucket by using aws_s3_client plugin.
It's taking much time to upload a 10MB file
Not able to track the upload progress percentage
Not having option to upload multiple file at once (if same bucket)
Every time while uploading we have to verify the IM-User access. (since why cant we use single instance at once to verify and keep connection persistent/keep alive until application getting closed)
Hence, am not familiar with AWS services. So, suggest to me a best way to upload a file or multiple files to AWS s3 bucket with faster, with upload progress percentage, multiple file upload at once and persistent connection /Keep Alive verification.

For 1 and 2, use managed uploads, it provides an event to track upload progress and makes uploads faster by using multipart upload. Beware that multipart uploads only work for files having sizes from 5 MB to 5 TB.
For 3, AWS S3 does not allow uploading files having same names or keys in the same bucket. Depending on your requirement, you can turn on versioning in your bucket and that will save different versions of the same file.
For 4, you can generate and use pre-signed URLs. Pre-signed URLs have configurable timeouts that you can adjust depending on how long you want the link to be available for an upload.

Use multi part upload.multi part upload will upload files quickly to S3.
https://docs.aws.amazon.com/AmazonS3/latest/userguide/mpuoverview.html

Related

Amazon S3 single upload limit 1GB

I am uploading to Amazon S3 (not using multi-part upload) and am having issues when trying to upload a file that is larger that ~1GB. The issue is that the object is empty in the s3 bucket, there is no error.
The documentation states that this should support up to 5GBs.
Typically it takes me (with my connection) ~1 minute to upload a 50mb file and for a 1gb file it takes several minutes. When I tried a 2-4gb file it would quickly "succeed" in uploading after a couple seconds but of course empty in the s3 bucket path. Does anyone know why I am seeing this behavior?

Uploading a file to s3 after downloading from a link

I have a link in a request which is pointing to some pdf /image content type. My requirement is to upload the content in the link to the s3 server.
Do I have to download it and then uploading the file but I have to many call and limited file storage in the machine Or Is there any other way to achieve this.
You must upload the file to Amazon S3.
It is not possible to tell Amazon S3 to retrieve a file from a URL.
My requirement is to upload the content in the link to the s3 server.
we - you need some compute resource. S3 itself won't do that.
Do I have to download it and then uploading the file
Or Is there any other way to achieve this.
The compute resource (logic) doesn't need to reside on your computer. You may use some AWS Compute resource near the S3, such as Lambda, EC2, ECS, .. You may decide based on the predicted load or other requirements.

How does aws s3 sync handle interruptions? Is it possible that files are corrupted?

I want to perform an aws s3 sync to a bucket. What happens with the files if the sync gets aborted manually? Is it possible hat there is a corrupt file left behind? AWS says that multipart-upload is used for files >5G and here corrupt files cannot occur. But what about files smaller than 5GB?
I couldnt find exact information in aws documentation about that. I want to use aws s3 sync and not aws s3api.
AWS S3 is not a hierarchical filesystem. It is devided into two significant components, the backing store and the index which, unlike in a typical filesystem, are separate... so when you're writing an object, you're not really writing it "in place." Uploading an object saves the object to the backing store, and then adds it to the bucket's index, which is used by GET and other requests to fetch the stored data and metadata for retrieval. Hence in your case if the sync is aborted then its AWS responsibility to delete that file and it would not be indexed,
Coming to the multipart uploads, here also aws would not list the complete file until you send the last part of your multipart upload, you can also send an abort request to abort the multipart upload in that case aws would stop charging you for your partially uploaded files.
for more information about multipart upload refer to this document:
S3 multipart upload

Uploading huge no of files into S3 is very slow

I am uploading 1.8 GB of data that has 500000 of small XML files into the S3 bucket.
When I upload it from my local machine, it takes a very very long time 7 hours.
And when I zipped it and uploaded it takes 5 minutes of time.
But my issue is I can not zip it simply because later on I need to have something in AWS to unzip it.
So is there any way to make this upload faster? Files name are different not running number.
Transfer Acceleration is enabled.
Please suggest me how I can optimize this?
You can always upload the zip file to an EC2 instance then unzip it there and sync it to the S3 bucket.
The Instance Role must have permissions to put Objects into S3 for this to work.
I also suggest you look into configuring an S3 VPC Gateway Endpoint before doing this: https://docs.aws.amazon.com/vpc/latest/userguide/vpc-endpoints.html

Is there any way to upload 50000 image files to Amazon S3 Bucket from a list of URLs

Is there any way to upload 50000 image files to Amazon S3 Bucket. The 50000 image file URLs are saved in a .txt file. Can someone please tell me a better way to do this.
It sounds like your requirement is: For each image URL listed in a text file, copy the images to an Amazon S3 bucket.
There is no in-built capability with Amazon S3 to do this. Instead, you would need to write an app that:
Reads the text file and, for each URL
Downloads the image
Uploads the image to Amazon S3
Doing this on an Amazon EC2 instance would be the fastest, due to low latency between S3 and EC2.
You could also get fancy and do it via Amazon EMR. It would be the fastest due to parallel processing, but would require knowledge of how to use Hadoop.
If you have a local copy of the images, you could order an AWS Snowball and use it to transfer the files to Amazon S3. However, it would probably be faster just to copy the files over the Internet (rough guess... at 1MB per file, total volume is 50GB).