AWS::S3Vectors::VectorBucketCfnVectorBucket
Defines an Amazon S3 vector bucket in the same AWS Region where you create the AWS CloudFormation stack. Vector buckets are specialized storage containers designed for storing and managing vector data used in machine learning and AI applications. They provide optimized storage and retrieval capabilities for high-dimensional vector data. To control how AWS CloudFormation handles the bucket when the stack is deleted, you can set a deletion policy for your bucket. You can choose to *retain* the bucket or to *delete* the bucket. For more information, see [DeletionPolicy attribute](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-attribute-deletionpolicy.html) . > You can only delete empty vector buckets. Deletion fails for buckets that have contents. - **Permissions** - The required permissions for CloudFormation to use are based on the operations that are performed on the stack. - Create - s3vectors:CreateVectorBucket - s3vectors:GetVectorBucket - kms:GenerateDataKey (if using KMS encryption) - Read - s3vectors:GetVectorBucket - kms:GenerateDataKey (if using KMS encryption) - Delete - s3vectors:DeleteVectorBucket - s3vectors:GetVectorBucket - kms:GenerateDataKey (if using KMS encryption) - List - s3vectors:ListVectorBuckets - kms:GenerateDataKey (if using KMS encryption)
Import
import { CfnVectorBucket } from 'aws-cdk-lib/aws-s3vectors';Or use the module namespace:
import * as s3vectors from 'aws-cdk-lib/aws-s3vectors';
// s3vectors.CfnVectorBucketProperties
Configuration passed to the constructor as CfnVectorBucketProps.
encryptionConfigurationOptionalIResolvable | EncryptionConfigurationPropertyThe encryption configuration for the vector bucket.
tagsOptionalCfnTag[]User tags (key-value pairs) to associate with the vector bucket.
vectorBucketNameOptionalstringA name for the vector bucket. The bucket name must contain only lowercase letters, numbers, and hyphens (-). The bucket name must be unique in the same AWS account for each AWS Region. If you don't specify a name, AWS CloudFormation generates a unique ID and uses that ID for the bucket name. The bucket name must be between 3 and 63 characters long and must not contain uppercase characters or underscores. > If you specify a name, you can't perform updates that require replacement of this resource. You can perform updates that require no or some interruption. If you need to replace the resource, specify a new name.
CloudFormation Resource
This L1 construct maps directly to the following CloudFormation resource type.
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aws-s3vectorsAWS::S3Vectors::VectorBucket