If automatic export (with NEW and CHANGED policies) is enabled on a DRA in your file system, each hard link contained within the DRA is exported to Amazon S3 as a separate S3 object for each hard link. If a file with multiple hard links is modified on the file system, all of the copies in S3 are updated, regardless of which hard link was used when changing the file.
If hard links are exported to S3 using data repository tasks (DRTs), each hard link contained within the paths specified for the DRT is exported to S3 as a separate S3 object for each hard link. If a file with multiple hard links is modified on the file system, each copy in S3 is updated at the time the respective hard link is exported, regardless of which hard link was used when changing the file.
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When a new FSx for Lustre file system is linked to an S3 bucket to which hard links were previously exported by another FSx for Lustre file system, AWS DataSync, or Amazon FSx File Gateway, the hard links are subsequently imported as separate files on the new file system.
Creating a hard link to a released file whose corresponding S3 object is in either of the S3 Glacier Flexible Retrieval or S3 Glacier Deep Archive storage classes will not create a new object in S3 for the hard link.
A link between a directory on the file system and an S3 bucket or prefix is called a data repository association (DRA). You can configure a maximum of 8 data repository associations on an FSx for Lustre file system. A maximum of 8 DRA requests can be queued, but only one request can be worked on at a time for the file system. Each DRA must have a unique FSx for Lustre file system directory and a unique S3 bucket or prefix associated with it.
In order to access objects on the S3 data repository as files and directories on the file system, file and directory metadata must be loaded into the file system. You can load metadata from a linked data repository when you create the DRA or load metadata for batches of files and directories that you want to access using the FSx for Lustre file system at a later time using an import data repository task, or use automatic export to load metadata automatically when objects are added to, changed in, or deleted from the data repository.
You can configure a DRA for automatic import only, for automatic export only, or for both. A data repository association configured with both automatic import and automatic export propagates data in both directions between the file system and the linked S3 bucket. As you make changes to data in your S3 data repository, FSx for Lustre detects the changes and then automatically imports the changes to your file system. As you create, modify, or delete files, FSx for Lustre automatically exports the changes to Amazon S3 asynchronously once your application finishes modifying the file.
For files marked with an immutable attribute, FSx for Lustre is unable to synchronize changes between your FSx for Lustre file system and an S3 bucket linked to the file system. Setting an immutable flag for an extended period of time can cause the performance of data movement between Amazon FSx and S3 to degrade.
If you specify only a forward slash (/) as the file system path, you can link only one data repository to the file system. You can only specify "/" as the file system path for the first data repository associated with a file system.
Two data repository associations cannot have overlapping data repository paths. For example, if a data repository with path s3://myBucket/myPrefix/ is linked to the file system, then you cannot create another data repository association with data repository path s3://myBucket/myPrefix/mySubPrefix.
The following procedures walk you through the process of creating a data repository association for an FSx for Lustre file system to an existing S3 bucket, using the AWS Management Console and AWS Command Line Interface (AWS CLI). For information on adding permissions to an S3 bucket in order to link it to your file system, see Adding permissions to use data repositories in Amazon S3.
File system path: Enter the name of a high-level directory (such as /ns1) or subdirectory (such as /ns1/subdir) within the Amazon FSx file system that will be associated with the S3 data repository. The leading forward slash in the path is required. Two data repository associations cannot have overlapping file system paths. For example, if a data repository is associated with file system path /ns1, then you cannot link another data repository with file system path /ns1/ns2. The File system path setting must be unique across all the data repository associations for the file system.
Data repository path: Enter the path of an existing S3 bucket or prefix to associate with your file system (for example, s3://my-bucket/my-prefix/). Two data repository associations cannot have overlapping data repository paths. For example, if a data repository with the path s3://myBucket/myPrefix/ is linked to the file system, then you cannot create another data repository association with the data repository path s3://myBucket/myPrefix/mySubPrefix. The Data repository path setting must be unique across all the data repository associations for the file system.
For Export policy, set an export policy that determines how your files are exported to your linked S3 bucket as you add, change, or delete objects in your file system. For example, choose Changed to export objects whose content or metadata has been changed on your file system. For more information about export policies, see Automatically export updates to your S3 bucket.
Data repository path: Enter the path of an existing S3 bucket or prefix to associate with your file system (for example, s3://my-bucket/my-prefix/). Two data repository associations cannot have overlapping data repository paths. For example, if a data repository with path s3://myBucket/myPrefix/ is linked to the file system, then you cannot create another data repository association with data repository path s3://myBucket/myPrefix/mySubPrefix. The Data repository path setting must be unique across all the data repository associations for the file system.
The following example creates a data repository association that links an Amazon FSx file system to an S3 bucket, with an import policy that imports any new or changed files to the file system and an export policy that exports new, changed, or deleted files to the linked S3 bucket.
The following procedures walk you through the process of deleting a data repository association from an existing Amazon FSx file system to an existing S3 bucket, using the AWS Management Console and AWS Command Line Interface (AWS CLI). Deleting the data repository association unlinks the file system from the S3 bucket.
The following example deletes a data repository association that links an Amazon FSx file system to an S3 bucket. The --association-id parameter specifies the ID of the data repository association to be deleted.
By default, Amazon FSx supports S3 buckets encrypted using SSE-S3. If you want to link your Amazon FSx file system to an S3 bucket encrypted using SSE-KMS encryption, you need to add a statement to your customer managed key policy that allows Amazon FSx to encrypt and decrypt objects in your S3 bucket using your KMS key.
After you create an FSx for Lustre file system linked to an encrypted Amazon S3 bucket, you must then grant the AWSServiceRoleForFSxS3Access_fs-01234567890 service-linked role (SLR) access to the KMS key used to encrypt the S3 bucket before reading or writing data from the linked S3 bucket. You can use an IAM role which already has permissions to the KMS key.
Full Bi-Directional Synchronization with Multiple S3 Buckets
If your workloads require a fast, POSIX-compliant file system access to your S3 buckets, then you can use FSx for Lustre to link your S3 buckets to a file system and keep data synchronized between the file system and S3 in both directions. However, until today, there were a couple limitations. First, you had to manually configure a task to export data back from FSx for Lustre to S3. Second, deleted files on S3 were not automatically deleted from the file system. And third, an FSx for Lustre file system was synchronized with one S3 bucket only. We are addressing these three challenges with this launch.
These new capabilities are useful when you must concurrently process data in S3 buckets using both a file-based and an object-based workflow, as well as share results in near real time between these workflows. For example, an application that accesses file data can do so by using an FSx for Lustre file system linked to your S3 bucket, while another application running on Amazon EMR may process the same files from S3.
Moreover, you may link multiple S3 buckets or prefixes to a single FSx for Lustre file system, thereby enabling a unified view across multiple datasets. Now you can create a single FSx for Lustre file system and easily link multiple S3 data repositories (S3 buckets or prefixes). This is convenient when you use multiple S3 buckets or prefixes to organize and manage access to your data lake, access files from a public S3 bucket (such as these hundreds of public datasets) and write job outputs to a different S3 bucket, or when you want to use a larger FSx for Lustre file system linked to multiple S3 datasets to achieve greater scale-out performance. be457b7860
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