libZSservicesZSamazonka-codepipelineZSamazonka-codepipeline
Copyright(c) 2013-2021 Brendan Hay
LicenseMozilla Public License, v. 2.0.
MaintainerBrendan Hay <brendan.g.hay+amazonka@gmail.com>
Stabilityauto-generated
Portabilitynon-portable (GHC extensions)
Safe HaskellNone

Amazonka.CodePipeline.Types.ArtifactStore

Description

 
Synopsis

Documentation

data ArtifactStore Source #

The S3 bucket where artifacts for the pipeline are stored.

You must include either artifactStore or artifactStores in your pipeline, but you cannot use both. If you create a cross-region action in your pipeline, you must use artifactStores.

See: newArtifactStore smart constructor.

Constructors

ArtifactStore' 

Fields

  • encryptionKey :: Maybe EncryptionKey

    The encryption key used to encrypt the data in the artifact store, such as an AWS Key Management Service (AWS KMS) key. If this is undefined, the default key for Amazon S3 is used.

  • type' :: ArtifactStoreType

    The type of the artifact store, such as S3.

  • location :: Text

    The S3 bucket used for storing the artifacts for a pipeline. You can specify the name of an S3 bucket but not a folder in the bucket. A folder to contain the pipeline artifacts is created for you based on the name of the pipeline. You can use any S3 bucket in the same AWS Region as the pipeline to store your pipeline artifacts.

Instances

Instances details
Eq ArtifactStore Source # 
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Defined in Amazonka.CodePipeline.Types.ArtifactStore

Read ArtifactStore Source # 
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Show ArtifactStore Source # 
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Generic ArtifactStore Source # 
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Associated Types

type Rep ArtifactStore :: Type -> Type #

NFData ArtifactStore Source # 
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Defined in Amazonka.CodePipeline.Types.ArtifactStore

Methods

rnf :: ArtifactStore -> () #

Hashable ArtifactStore Source # 
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Defined in Amazonka.CodePipeline.Types.ArtifactStore

ToJSON ArtifactStore Source # 
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FromJSON ArtifactStore Source # 
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type Rep ArtifactStore Source # 
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Defined in Amazonka.CodePipeline.Types.ArtifactStore

type Rep ArtifactStore = D1 ('MetaData "ArtifactStore" "Amazonka.CodePipeline.Types.ArtifactStore" "libZSservicesZSamazonka-codepipelineZSamazonka-codepipeline" 'False) (C1 ('MetaCons "ArtifactStore'" 'PrefixI 'True) (S1 ('MetaSel ('Just "encryptionKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EncryptionKey)) :*: (S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ArtifactStoreType) :*: S1 ('MetaSel ('Just "location") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newArtifactStore Source #

Create a value of ArtifactStore with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:encryptionKey:ArtifactStore', artifactStore_encryptionKey - The encryption key used to encrypt the data in the artifact store, such as an AWS Key Management Service (AWS KMS) key. If this is undefined, the default key for Amazon S3 is used.

$sel:type':ArtifactStore', artifactStore_type - The type of the artifact store, such as S3.

$sel:location:ArtifactStore', artifactStore_location - The S3 bucket used for storing the artifacts for a pipeline. You can specify the name of an S3 bucket but not a folder in the bucket. A folder to contain the pipeline artifacts is created for you based on the name of the pipeline. You can use any S3 bucket in the same AWS Region as the pipeline to store your pipeline artifacts.

artifactStore_encryptionKey :: Lens' ArtifactStore (Maybe EncryptionKey) Source #

The encryption key used to encrypt the data in the artifact store, such as an AWS Key Management Service (AWS KMS) key. If this is undefined, the default key for Amazon S3 is used.

artifactStore_type :: Lens' ArtifactStore ArtifactStoreType Source #

The type of the artifact store, such as S3.

artifactStore_location :: Lens' ArtifactStore Text Source #

The S3 bucket used for storing the artifacts for a pipeline. You can specify the name of an S3 bucket but not a folder in the bucket. A folder to contain the pipeline artifacts is created for you based on the name of the pipeline. You can use any S3 bucket in the same AWS Region as the pipeline to store your pipeline artifacts.