Bulk AWS S3 files exist verification?

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What is the best/fastest approach to check if multiple files exist in AWS S3 bucket?

For example I have 100k files metadata in my local DB. I would like to make sure all of them exist in S3 bucket. I can do 'aws s3 ls' for particular file, but that would mean 100k aws requests. Is there a better approach to this?


If you are just doing a general audit, you could use Amazon S3 Inventory to obtain a complete daily dump of all object keys and associated metadata.

You could then write some code to compare the contents of the Inventory file against the DB entries.

object-exists, object-exists --bucket <value> [--if-match <value>] [--if-modified-since <value>] Amazon S3 uses this header for a message integrity check to ensure that the  To verify the MD5 checksum value of the object during its upload to Amazon S3, use the AWS Command Line Interface (AWS CLI) command aws s3api put-object and include the --content-md5 option. For the value of --content-md5 , enter the base64-encoded MD5 checksum value that you calculated, similar to the following:


If you want to retrieve all keys in a specific bucket in one command then you can use this.

aws s3api list-objects --bucket <bucket-name> --no-paginate

Once you have that list, you can process it by a custom code.

Check if File Exists on S3 Using, Check if File Exists on S3 Using Browser JavaScript SDK? Posted by: uglyhippo. Posted on: Sep 22, 2014 2:04 PM  S3 Batch Operations performs large-scale batch operations on Amazon S3 objects. You can use S3 Batch Operations to copy objects, set object tags or access control lists (ACLs), initiate object restores from Amazon S3 Glacier, or invoke an AWS Lambda function to perform custom actions using your objects.


If you would like to make sure your local files are on S3 you can try the s3 sync command.

You can also check out which files are there currently with Commandeer, which supports S3 file browsing in a nice tree view.

Check if file exists in S3 Bucket, If you do aws s3 ls on the actual filename. If the filename exists, the exit code will be 0 and the filename will be displayed, otherwise, the exit code will not be 0: If you do aws s3 ls on the actual filename. If the filename exists, the exit code will be 0 and the filename will be displayed, otherwise, the exit code will not be 0: aws s3 ls s3://bucket/filname if [[ $? -ne 0 ]]; then echo "File does not exist" fi


Fastest way to find out if a file exists in S3 (with boto3), Then it uploads each file into an AWS S3 bucket if the file size is different or if the file didn't exist at all before. It looks like this: for filename  S3 Batch Operations checks the manifest and does some other verification, and the job enters the Awaiting your confirmation state (this only happens when I use the console). I select it and click Confirm and run :


Expert AWS Development: Efficiently develop, deploy, and manage , getRequestResponses().size();i++){ System.out.println("Put Batch Request Verify that the S3 bucket mentioned in the Kinesis Firehose delivery stream exists​. mentioned in your delivery stream exists, and Kinesis Firehose has attempted to  tl;dr; It's faster to list objects with prefix being the full key path, than to use HEAD to find out of a object is in an S3 bucket. Background. I have a piece of code that opens up a user uploaded .zip file and extracts its content. Then it uploads each file into an AWS S3 bucket if the file size is different or if the file didn't exist at all


Mastering Computer Vision with TensorFlow 2.x: Build advanced , Or, the The specified bucket does not exist error message from S3. Failure 2 - Batch size issue: ClientError: The validation set does not have enough files with  S3 just wasn't designed to injest millions of files all with the same file structure. Have you considered AWS Storage Gateway for this situation? One main issue that you might be facing and might not be able to change because you're backing up a file system that relies on it's organised file/folder layout, is how your files are named and stored.