Managing your S3 directory bucket is crucial for maintaining a well-organized and efficient storage system. You can create a new bucket in the AWS Management Console or using the AWS CLI.
To configure your bucket, you'll need to set a unique name, choose a region, and select a storage class. Buckets can be configured to store objects in a single location or across multiple locations.
The default storage class for a new bucket is S3 Standard, which provides a balance of performance and durability. You can also choose S3 Standard-IA for infrequently accessed data or S3 One Zone-IA for data that can be stored in a single availability zone.
Object-level versioning can be enabled for a bucket to store multiple versions of an object. This feature is useful for tracking changes to objects over time and preventing accidental deletions.
Security and Access Control
To ensure secure access to your S3 directory bucket, it's essential to configure permissions correctly. If you're using the sync subcommand of rclone, you'll need to grant the following minimum permissions on the bucket being written to: ListBucket, DeleteObject, GetObject, PutObject, PutObjectACL, and CreateBucket (unless using s3-no-check-bucket).
To set up these permissions, you can use a policy like the one mentioned in the article, which includes both resource ARNs for the bucket and its objects. This policy assumes that a user named USER_NAME has been created, and it grants the required permissions to access and modify the bucket's contents.
Here's a summary of the required permissions:
Authentication
Authentication is a crucial aspect of security, and rclone has several ways to supply AWS credentials.
Rclone tries different authentication methods in this order: directly in the configuration file (if env_auth is false), and then runtime configuration (if env_auth is true).
If you set env_auth to true in the config file, rclone will support all authentication methods that the aws CLI tool does and the other AWS SDKs.
If you're using env_auth, you can also set the RCLONE_S3_ENV_AUTH environment variable to true to get AWS credentials from runtime.
Here are the different authentication methods rclone tries, in order:
- Directly in the rclone configuration file (env_auth = false)
- Runtime configuration (env_auth = true)
Note that if none of these options provide rclone with AWS credentials, S3 interaction will be non-authenticated.
Acl
Acl is a crucial aspect of security and access control in S3. To ensure proper access control, you need to understand the minimum permissions required for S3.
The minimum permissions required for S3 include ListBucket, DeleteObject, GetObject, PutObject, PutObjectACL, and CreateBucket. These permissions are necessary for the sync subcommand of rclone.
To create a bucket, you'll need to include the "arn:aws:s3:::BUCKET_NAME" in the Resource entry, unless you're using s3-no-check-bucket and the bucket already exists.
For example, a policy that can be used when creating a bucket is shown below.
- This policy assumes that USER_NAME has been created.
- The Resource entry must include both resource ARNs, one implying the bucket and the other implying the bucket's objects.
- When using s3-no-check-bucket and the bucket already exists, the "arn:aws:s3:::BUCKET_NAME" doesn't have to be included.
The Canned ACL used when creating buckets and storing or copying objects is specified by the --s3-acl flag. This ACL is used for creating objects and if bucket_acl isn't set, for creating buckets too.
The Canned ACL can be set using the config, env var, or provider. The types of Canned ACLs available are not specified in the article sections. However, it is stated that if the acl is an empty string, no X-Amz-Acl: header is added and the default (private) will be used.
Hashes
Hashes are a crucial aspect of security and access control, especially when dealing with sensitive data on cloud storage services like S3.
For small objects uploaded without multipart uploads, rclone uses the ETag header as an MD5 checksum.
This ETag header is no longer the MD5 sum of the data for objects uploaded as multipart uploads or with server-side encryption.
Rclone adds an additional piece of metadata, X-Amz-Meta-Md5chksum, which is a base64 encoded MD5 hash for these objects.
You can verify this value manually using base64 -d and hexdump, or use rclone check to ensure the hashes are correct.
For large objects, calculating the MD5 hash can be time-consuming, so you can disable this feature with --s3-disable-checksum to save time.
Preventing HEAD Requests for Last-Modified Dates
Preventing HEAD requests for last-modified dates can be a game-changer for S3 users. This extra API call can be expensive in terms of time and money, and it's used by default for syncing operations that require checking the time a file was last updated.
Using the --size-only flag can help avoid these extra API calls. This flag tells rclone to only consider the size of the files when syncing, rather than their last-modified dates.
The --checksum flag can also be used to avoid HEAD requests. This flag tells rclone to use checksums to verify file integrity, rather than relying on last-modified dates.
The --update --use-server-modtime flag combination can also help. However, keep in mind that this can have tradeoffs, and you should consider your specific use case before using it.
Using the --no-modtime flag with VFS commands like rclone mount or rclone serve can also prevent HEAD requests. This flag tells rclone not to read the modification time for every object.
Here are some options to consider when avoiding HEAD requests:
- --size-only
- --checksum
- --update --use-server-modtime
- --no-modtime
Remember to use these flags in combination with --fast-list for optimal results.
Avoiding Get Requests
When working with Rclone, it's essential to be mindful of the number of GET requests made to read directory listings. Rclone's default directory traversal is to process each directory individually, taking one API call per directory.
Using the --fast-list flag can significantly reduce the number of API calls, reading all info about the objects into memory first using a smaller number of API calls (one per 1000 objects). This can be a useful strategy for large repositories.
However, --fast-list trades off API transactions for memory use, using roughly 1k of memory per object stored. This means that using --fast-list on a sync of a million objects will use roughly 1 GiB of RAM.
If you're only copying a small number of files into a big repository, using --no-traverse is a good idea. It finds objects directly instead of through directory listings, making it a cheap way to do a "top-up" sync.
You can use --max-age and --no-traverse to copy only recent files, making it an efficient way to sync only the most up-to-date files.
Key Management System (KMS)
Using a Key Management System (KMS) is a great way to secure your data in the cloud. If you're using server-side encryption with KMS, make sure to configure rclone with server_side_encryption = aws:kms, or you'll encounter issues with transferring small objects.
This is because small objects will create checksum errors if not configured properly. I've seen this happen to users who didn't follow the correct configuration steps.
To use a KMS with rclone, you need to specify the server-side encryption method as aws:kms. This will ensure that your data is properly encrypted and secure.
Location Constraint
Location constraint is a feature that ensures your data is stored in a specific region, which is crucial for compliance and data sovereignty. This feature is particularly useful for businesses that operate in multiple regions and need to store data locally.
You can set the location constraint to match the region by using the 'location_constraint' config or the 'RCLONE_S3_LOCATION_CONSTRAINT' environment variable. The location constraint is only applicable to the AWS provider, as it is a specific requirement for this provider.
The location constraint is a string value that you can set to ensure your data is stored in the correct region. This value is not required, but it is highly recommended for security and compliance purposes.
Here are the ways to set the location constraint:
- Config: location_constraint
- Env Var: RCLONE_S3_LOCATION_CONSTRAINT
- Provider: AWS
- Type: string
- Required: false
Verify Files for Deletion (Dry-Run)
Verifying files for deletion is a crucial step to avoid unintended deletions. The --dry-run option in the aws s3 rm command allows you to do just that.
Before deleting files recursively from your S3 bucket, it's always a good practice to use --dry-run. This option simulates the deletion process without actually removing any files.
To use --dry-run, simply add it to your aws s3 rm command. For example, aws s3 rm s3://your-bucket-name --dry-run.
Executing this command will show you a list of files and folders that would be deleted if you were to run the command without --dry-run. This allows you to double-check and confirm that only the intended files and directories will be affected.
By verifying the files to be deleted using --dry-run, you can avoid any unintended deletions and ensure that you are deleting the correct files from your S3 bucket.
Public Access
Public Access is a bit of a tricky area, especially when it comes to cloud storage. You can access a public bucket using rclone without needing any specific credentials, as long as you configure it with a blank access_key_id and secret_access_key.
This allows you to list and copy data from the public bucket, but be aware that you won't be able to upload any new data to it.
Frequently Asked Questions
How to make a directory in a S3 bucket?
To create a directory in an S3 bucket, navigate to your bucket, click "Create Folder", and name your new directory. This will create a new folder in your S3 bucket where you can store and organize your files.
Does S3 have directories?
Yes, S3 supports directories, which allow for hierarchical organization of data. This hierarchical structure enables high-performance data storage and retrieval, with hundreds of thousands of transactions per second.
How do I get a list of files from my S3 bucket?
To get a list of files from your S3 bucket, use the AWS S3 LS command with the --recursive option. Simply type "aws s3 ls s3://my-bucket/ --recursive" to list all objects in your bucket and its subdirectories.
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