amazonka-datapipeline-2.0: Amazon Data Pipeline SDK.
Copyright(c) 2013-2023 Brendan Hay
LicenseMozilla Public License, v. 2.0.
MaintainerBrendan Hay
Stabilityauto-generated
Portabilitynon-portable (GHC extensions)
Safe HaskellSafe-Inferred
LanguageHaskell2010

Amazonka.DataPipeline.Types

Description

 
Synopsis

Service Configuration

defaultService :: Service Source #

API version 2012-10-29 of the Amazon Data Pipeline SDK configuration.

Errors

_InternalServiceError :: AsError a => Fold a ServiceError Source #

An internal service error occurred.

_InvalidRequestException :: AsError a => Fold a ServiceError Source #

The request was not valid. Verify that your request was properly formatted, that the signature was generated with the correct credentials, and that you haven't exceeded any of the service limits for your account.

_PipelineDeletedException :: AsError a => Fold a ServiceError Source #

The specified pipeline has been deleted.

_PipelineNotFoundException :: AsError a => Fold a ServiceError Source #

The specified pipeline was not found. Verify that you used the correct user and account identifiers.

_TaskNotFoundException :: AsError a => Fold a ServiceError Source #

The specified task was not found.

OperatorType

newtype OperatorType Source #

Constructors

OperatorType' 

Instances

Instances details
FromJSON OperatorType Source # 
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FromJSONKey OperatorType Source # 
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ToJSON OperatorType Source # 
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ToJSONKey OperatorType Source # 
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ToByteString OperatorType Source # 
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ToHeader OperatorType Source # 
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ToLog OperatorType Source # 
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ToQuery OperatorType Source # 
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FromText OperatorType Source # 
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ToText OperatorType Source # 
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Methods

toText :: OperatorType -> Text #

FromXML OperatorType Source # 
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ToXML OperatorType Source # 
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Methods

toXML :: OperatorType -> XML #

Generic OperatorType Source # 
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Associated Types

type Rep OperatorType :: Type -> Type #

Read OperatorType Source # 
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Show OperatorType Source # 
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NFData OperatorType Source # 
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Methods

rnf :: OperatorType -> () #

Eq OperatorType Source # 
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Ord OperatorType Source # 
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Hashable OperatorType Source # 
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type Rep OperatorType Source # 
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Defined in Amazonka.DataPipeline.Types.OperatorType

type Rep OperatorType = D1 ('MetaData "OperatorType" "Amazonka.DataPipeline.Types.OperatorType" "amazonka-datapipeline-2.0-1cySuAk2jmdDRpZSxMUuos" 'True) (C1 ('MetaCons "OperatorType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromOperatorType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TaskStatus

newtype TaskStatus Source #

Constructors

TaskStatus' 

Fields

Bundled Patterns

pattern TaskStatus_FAILED :: TaskStatus 
pattern TaskStatus_FALSE :: TaskStatus 
pattern TaskStatus_FINISHED :: TaskStatus 

Instances

Instances details
FromJSON TaskStatus Source # 
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FromJSONKey TaskStatus Source # 
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ToJSON TaskStatus Source # 
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ToJSONKey TaskStatus Source # 
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ToByteString TaskStatus Source # 
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ToHeader TaskStatus Source # 
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ToLog TaskStatus Source # 
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ToQuery TaskStatus Source # 
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FromText TaskStatus Source # 
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ToText TaskStatus Source # 
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Methods

toText :: TaskStatus -> Text #

FromXML TaskStatus Source # 
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ToXML TaskStatus Source # 
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Methods

toXML :: TaskStatus -> XML #

Generic TaskStatus Source # 
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Associated Types

type Rep TaskStatus :: Type -> Type #

Read TaskStatus Source # 
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Show TaskStatus Source # 
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NFData TaskStatus Source # 
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Methods

rnf :: TaskStatus -> () #

Eq TaskStatus Source # 
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Ord TaskStatus Source # 
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Hashable TaskStatus Source # 
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type Rep TaskStatus Source # 
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type Rep TaskStatus = D1 ('MetaData "TaskStatus" "Amazonka.DataPipeline.Types.TaskStatus" "amazonka-datapipeline-2.0-1cySuAk2jmdDRpZSxMUuos" 'True) (C1 ('MetaCons "TaskStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTaskStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

Field

data Field Source #

A key-value pair that describes a property of a pipeline object. The value is specified as either a string value (StringValue) or a reference to another object (RefValue) but not as both.

See: newField smart constructor.

Constructors

Field' 

Fields

Instances

Instances details
FromJSON Field Source # 
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ToJSON Field Source # 
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Generic Field Source # 
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Associated Types

type Rep Field :: Type -> Type #

Methods

from :: Field -> Rep Field x #

to :: Rep Field x -> Field #

Read Field Source # 
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Show Field Source # 
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Methods

showsPrec :: Int -> Field -> ShowS #

show :: Field -> String #

showList :: [Field] -> ShowS #

NFData Field Source # 
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Methods

rnf :: Field -> () #

Eq Field Source # 
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Methods

(==) :: Field -> Field -> Bool #

(/=) :: Field -> Field -> Bool #

Hashable Field Source # 
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Methods

hashWithSalt :: Int -> Field -> Int #

hash :: Field -> Int #

type Rep Field Source # 
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type Rep Field = D1 ('MetaData "Field" "Amazonka.DataPipeline.Types.Field" "amazonka-datapipeline-2.0-1cySuAk2jmdDRpZSxMUuos" 'False) (C1 ('MetaCons "Field'" 'PrefixI 'True) (S1 ('MetaSel ('Just "refValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "stringValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "key") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newField Source #

Arguments

:: Text

$sel:key:Field'

-> Field 

Create a value of Field 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:refValue:Field', field_refValue - The field value, expressed as the identifier of another object.

$sel:stringValue:Field', field_stringValue - The field value, expressed as a String.

$sel:key:Field', field_key - The field identifier.

field_refValue :: Lens' Field (Maybe Text) Source #

The field value, expressed as the identifier of another object.

field_stringValue :: Lens' Field (Maybe Text) Source #

The field value, expressed as a String.

field_key :: Lens' Field Text Source #

The field identifier.

InstanceIdentity

data InstanceIdentity Source #

Identity information for the EC2 instance that is hosting the task runner. You can get this value by calling a metadata URI from the EC2 instance. For more information, see Instance Metadata in the Amazon Elastic Compute Cloud User Guide. Passing in this value proves that your task runner is running on an EC2 instance, and ensures the proper AWS Data Pipeline service charges are applied to your pipeline.

See: newInstanceIdentity smart constructor.

Constructors

InstanceIdentity' 

Fields

  • document :: Maybe Text

    A description of an EC2 instance that is generated when the instance is launched and exposed to the instance via the instance metadata service in the form of a JSON representation of an object.

  • signature :: Maybe Text

    A signature which can be used to verify the accuracy and authenticity of the information provided in the instance identity document.

Instances

Instances details
ToJSON InstanceIdentity Source # 
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Generic InstanceIdentity Source # 
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Associated Types

type Rep InstanceIdentity :: Type -> Type #

Read InstanceIdentity Source # 
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Show InstanceIdentity Source # 
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NFData InstanceIdentity Source # 
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Methods

rnf :: InstanceIdentity -> () #

Eq InstanceIdentity Source # 
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Hashable InstanceIdentity Source # 
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type Rep InstanceIdentity Source # 
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Defined in Amazonka.DataPipeline.Types.InstanceIdentity

type Rep InstanceIdentity = D1 ('MetaData "InstanceIdentity" "Amazonka.DataPipeline.Types.InstanceIdentity" "amazonka-datapipeline-2.0-1cySuAk2jmdDRpZSxMUuos" 'False) (C1 ('MetaCons "InstanceIdentity'" 'PrefixI 'True) (S1 ('MetaSel ('Just "document") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "signature") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newInstanceIdentity :: InstanceIdentity Source #

Create a value of InstanceIdentity 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:document:InstanceIdentity', instanceIdentity_document - A description of an EC2 instance that is generated when the instance is launched and exposed to the instance via the instance metadata service in the form of a JSON representation of an object.

$sel:signature:InstanceIdentity', instanceIdentity_signature - A signature which can be used to verify the accuracy and authenticity of the information provided in the instance identity document.

instanceIdentity_document :: Lens' InstanceIdentity (Maybe Text) Source #

A description of an EC2 instance that is generated when the instance is launched and exposed to the instance via the instance metadata service in the form of a JSON representation of an object.

instanceIdentity_signature :: Lens' InstanceIdentity (Maybe Text) Source #

A signature which can be used to verify the accuracy and authenticity of the information provided in the instance identity document.

Operator

data Operator Source #

Contains a logical operation for comparing the value of a field with a specified value.

See: newOperator smart constructor.

Constructors

Operator' 

Fields

  • type' :: Maybe OperatorType

    The logical operation to be performed: equal (EQ), equal reference (REF_EQ), less than or equal (LE), greater than or equal (GE), or between (BETWEEN). Equal reference (REF_EQ) can be used only with reference fields. The other comparison types can be used only with String fields. The comparison types you can use apply only to certain object fields, as detailed below.

    The comparison operators EQ and REF_EQ act on the following fields:

    • name
    • @sphere
    • parent
    • @componentParent
    • @instanceParent
    • @status
    • @scheduledStartTime
    • @scheduledEndTime
    • @actualStartTime
    • @actualEndTime

    The comparison operators GE, LE, and BETWEEN act on the following fields:

    • @scheduledStartTime
    • @scheduledEndTime
    • @actualStartTime
    • @actualEndTime

    Note that fields beginning with the at sign (@) are read-only and set by the web service. When you name fields, you should choose names containing only alpha-numeric values, as symbols may be reserved by AWS Data Pipeline. User-defined fields that you add to a pipeline should prefix their name with the string "my".

  • values :: Maybe [Text]

    The value that the actual field value will be compared with.

Instances

Instances details
ToJSON Operator Source # 
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Defined in Amazonka.DataPipeline.Types.Operator

Generic Operator Source # 
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Defined in Amazonka.DataPipeline.Types.Operator

Associated Types

type Rep Operator :: Type -> Type #

Methods

from :: Operator -> Rep Operator x #

to :: Rep Operator x -> Operator #

Read Operator Source # 
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Show Operator Source # 
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NFData Operator Source # 
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Methods

rnf :: Operator -> () #

Eq Operator Source # 
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Hashable Operator Source # 
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Methods

hashWithSalt :: Int -> Operator -> Int #

hash :: Operator -> Int #

type Rep Operator Source # 
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Defined in Amazonka.DataPipeline.Types.Operator

type Rep Operator = D1 ('MetaData "Operator" "Amazonka.DataPipeline.Types.Operator" "amazonka-datapipeline-2.0-1cySuAk2jmdDRpZSxMUuos" 'False) (C1 ('MetaCons "Operator'" 'PrefixI 'True) (S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OperatorType)) :*: S1 ('MetaSel ('Just "values") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text]))))

newOperator :: Operator Source #

Create a value of Operator 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:type':Operator', operator_type - The logical operation to be performed: equal (EQ), equal reference (REF_EQ), less than or equal (LE), greater than or equal (GE), or between (BETWEEN). Equal reference (REF_EQ) can be used only with reference fields. The other comparison types can be used only with String fields. The comparison types you can use apply only to certain object fields, as detailed below.

The comparison operators EQ and REF_EQ act on the following fields:

  • name
  • @sphere
  • parent
  • @componentParent
  • @instanceParent
  • @status
  • @scheduledStartTime
  • @scheduledEndTime
  • @actualStartTime
  • @actualEndTime

The comparison operators GE, LE, and BETWEEN act on the following fields:

  • @scheduledStartTime
  • @scheduledEndTime
  • @actualStartTime
  • @actualEndTime

Note that fields beginning with the at sign (@) are read-only and set by the web service. When you name fields, you should choose names containing only alpha-numeric values, as symbols may be reserved by AWS Data Pipeline. User-defined fields that you add to a pipeline should prefix their name with the string "my".

$sel:values:Operator', operator_values - The value that the actual field value will be compared with.

operator_type :: Lens' Operator (Maybe OperatorType) Source #

The logical operation to be performed: equal (EQ), equal reference (REF_EQ), less than or equal (LE), greater than or equal (GE), or between (BETWEEN). Equal reference (REF_EQ) can be used only with reference fields. The other comparison types can be used only with String fields. The comparison types you can use apply only to certain object fields, as detailed below.

The comparison operators EQ and REF_EQ act on the following fields:

  • name
  • @sphere
  • parent
  • @componentParent
  • @instanceParent
  • @status
  • @scheduledStartTime
  • @scheduledEndTime
  • @actualStartTime
  • @actualEndTime

The comparison operators GE, LE, and BETWEEN act on the following fields:

  • @scheduledStartTime
  • @scheduledEndTime
  • @actualStartTime
  • @actualEndTime

Note that fields beginning with the at sign (@) are read-only and set by the web service. When you name fields, you should choose names containing only alpha-numeric values, as symbols may be reserved by AWS Data Pipeline. User-defined fields that you add to a pipeline should prefix their name with the string "my".

operator_values :: Lens' Operator (Maybe [Text]) Source #

The value that the actual field value will be compared with.

ParameterAttribute

data ParameterAttribute Source #

The attributes allowed or specified with a parameter object.

See: newParameterAttribute smart constructor.

Constructors

ParameterAttribute' 

Fields

Instances

Instances details
FromJSON ParameterAttribute Source # 
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ToJSON ParameterAttribute Source # 
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Generic ParameterAttribute Source # 
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Associated Types

type Rep ParameterAttribute :: Type -> Type #

Read ParameterAttribute Source # 
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Show ParameterAttribute Source # 
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NFData ParameterAttribute Source # 
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Methods

rnf :: ParameterAttribute -> () #

Eq ParameterAttribute Source # 
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Hashable ParameterAttribute Source # 
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type Rep ParameterAttribute Source # 
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Defined in Amazonka.DataPipeline.Types.ParameterAttribute

type Rep ParameterAttribute = D1 ('MetaData "ParameterAttribute" "Amazonka.DataPipeline.Types.ParameterAttribute" "amazonka-datapipeline-2.0-1cySuAk2jmdDRpZSxMUuos" 'False) (C1 ('MetaCons "ParameterAttribute'" 'PrefixI 'True) (S1 ('MetaSel ('Just "key") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "stringValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newParameterAttribute Source #

Create a value of ParameterAttribute 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:key:ParameterAttribute', parameterAttribute_key - The field identifier.

$sel:stringValue:ParameterAttribute', parameterAttribute_stringValue - The field value, expressed as a String.

parameterAttribute_stringValue :: Lens' ParameterAttribute Text Source #

The field value, expressed as a String.

ParameterObject

data ParameterObject Source #

Contains information about a parameter object.

See: newParameterObject smart constructor.

Constructors

ParameterObject' 

Fields

Instances

Instances details
FromJSON ParameterObject Source # 
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ToJSON ParameterObject Source # 
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Generic ParameterObject Source # 
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Associated Types

type Rep ParameterObject :: Type -> Type #

Read ParameterObject Source # 
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Show ParameterObject Source # 
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NFData ParameterObject Source # 
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Methods

rnf :: ParameterObject -> () #

Eq ParameterObject Source # 
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Hashable ParameterObject Source # 
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type Rep ParameterObject Source # 
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Defined in Amazonka.DataPipeline.Types.ParameterObject

type Rep ParameterObject = D1 ('MetaData "ParameterObject" "Amazonka.DataPipeline.Types.ParameterObject" "amazonka-datapipeline-2.0-1cySuAk2jmdDRpZSxMUuos" 'False) (C1 ('MetaCons "ParameterObject'" 'PrefixI 'True) (S1 ('MetaSel ('Just "id") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "attributes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 [ParameterAttribute])))

newParameterObject Source #

Create a value of ParameterObject 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:id:ParameterObject', parameterObject_id - The ID of the parameter object.

$sel:attributes:ParameterObject', parameterObject_attributes - The attributes of the parameter object.

parameterObject_id :: Lens' ParameterObject Text Source #

The ID of the parameter object.

parameterObject_attributes :: Lens' ParameterObject [ParameterAttribute] Source #

The attributes of the parameter object.

ParameterValue

data ParameterValue Source #

A value or list of parameter values.

See: newParameterValue smart constructor.

Constructors

ParameterValue' 

Fields

Instances

Instances details
FromJSON ParameterValue Source # 
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Defined in Amazonka.DataPipeline.Types.ParameterValue

ToJSON ParameterValue Source # 
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Defined in Amazonka.DataPipeline.Types.ParameterValue

Generic ParameterValue Source # 
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Defined in Amazonka.DataPipeline.Types.ParameterValue

Associated Types

type Rep ParameterValue :: Type -> Type #

Read ParameterValue Source # 
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Show ParameterValue Source # 
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NFData ParameterValue Source # 
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Methods

rnf :: ParameterValue -> () #

Eq ParameterValue Source # 
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Hashable ParameterValue Source # 
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Defined in Amazonka.DataPipeline.Types.ParameterValue

type Rep ParameterValue Source # 
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Defined in Amazonka.DataPipeline.Types.ParameterValue

type Rep ParameterValue = D1 ('MetaData "ParameterValue" "Amazonka.DataPipeline.Types.ParameterValue" "amazonka-datapipeline-2.0-1cySuAk2jmdDRpZSxMUuos" 'False) (C1 ('MetaCons "ParameterValue'" 'PrefixI 'True) (S1 ('MetaSel ('Just "id") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "stringValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newParameterValue Source #

Create a value of ParameterValue 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:id:ParameterValue', parameterValue_id - The ID of the parameter value.

$sel:stringValue:ParameterValue', parameterValue_stringValue - The field value, expressed as a String.

parameterValue_id :: Lens' ParameterValue Text Source #

The ID of the parameter value.

parameterValue_stringValue :: Lens' ParameterValue Text Source #

The field value, expressed as a String.

PipelineDescription

data PipelineDescription Source #

Contains pipeline metadata.

See: newPipelineDescription smart constructor.

Constructors

PipelineDescription' 

Fields

  • description :: Maybe Text

    Description of the pipeline.

  • tags :: Maybe [Tag]

    A list of tags to associated with a pipeline. Tags let you control access to pipelines. For more information, see Controlling User Access to Pipelines in the AWS Data Pipeline Developer Guide.

  • pipelineId :: Text

    The pipeline identifier that was assigned by AWS Data Pipeline. This is a string of the form df-297EG78HU43EEXAMPLE.

  • name :: Text

    The name of the pipeline.

  • fields :: [Field]

    A list of read-only fields that contain metadata about the pipeline: @userId, @accountId, and @pipelineState.

Instances

Instances details
FromJSON PipelineDescription Source # 
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Defined in Amazonka.DataPipeline.Types.PipelineDescription

Generic PipelineDescription Source # 
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Defined in Amazonka.DataPipeline.Types.PipelineDescription

Associated Types

type Rep PipelineDescription :: Type -> Type #

Read PipelineDescription Source # 
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Defined in Amazonka.DataPipeline.Types.PipelineDescription

Show PipelineDescription Source # 
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NFData PipelineDescription Source # 
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Methods

rnf :: PipelineDescription -> () #

Eq PipelineDescription Source # 
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Hashable PipelineDescription Source # 
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type Rep PipelineDescription Source # 
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Defined in Amazonka.DataPipeline.Types.PipelineDescription

type Rep PipelineDescription = D1 ('MetaData "PipelineDescription" "Amazonka.DataPipeline.Types.PipelineDescription" "amazonka-datapipeline-2.0-1cySuAk2jmdDRpZSxMUuos" 'False) (C1 ('MetaCons "PipelineDescription'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "description") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag]))) :*: (S1 ('MetaSel ('Just "pipelineId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "fields") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 [Field])))))

newPipelineDescription Source #

Create a value of PipelineDescription 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:description:PipelineDescription', pipelineDescription_description - Description of the pipeline.

$sel:tags:PipelineDescription', pipelineDescription_tags - A list of tags to associated with a pipeline. Tags let you control access to pipelines. For more information, see Controlling User Access to Pipelines in the AWS Data Pipeline Developer Guide.

$sel:pipelineId:PipelineDescription', pipelineDescription_pipelineId - The pipeline identifier that was assigned by AWS Data Pipeline. This is a string of the form df-297EG78HU43EEXAMPLE.

$sel:name:PipelineDescription', pipelineDescription_name - The name of the pipeline.

$sel:fields:PipelineDescription', pipelineDescription_fields - A list of read-only fields that contain metadata about the pipeline: @userId, @accountId, and @pipelineState.

pipelineDescription_tags :: Lens' PipelineDescription (Maybe [Tag]) Source #

A list of tags to associated with a pipeline. Tags let you control access to pipelines. For more information, see Controlling User Access to Pipelines in the AWS Data Pipeline Developer Guide.

pipelineDescription_pipelineId :: Lens' PipelineDescription Text Source #

The pipeline identifier that was assigned by AWS Data Pipeline. This is a string of the form df-297EG78HU43EEXAMPLE.

pipelineDescription_fields :: Lens' PipelineDescription [Field] Source #

A list of read-only fields that contain metadata about the pipeline: @userId, @accountId, and @pipelineState.

PipelineIdName

data PipelineIdName Source #

Contains the name and identifier of a pipeline.

See: newPipelineIdName smart constructor.

Constructors

PipelineIdName' 

Fields

  • id :: Maybe Text

    The ID of the pipeline that was assigned by AWS Data Pipeline. This is a string of the form df-297EG78HU43EEXAMPLE.

  • name :: Maybe Text

    The name of the pipeline.

Instances

Instances details
FromJSON PipelineIdName Source # 
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Defined in Amazonka.DataPipeline.Types.PipelineIdName

Generic PipelineIdName Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.PipelineIdName

Associated Types

type Rep PipelineIdName :: Type -> Type #

Read PipelineIdName Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.PipelineIdName

Show PipelineIdName Source # 
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Defined in Amazonka.DataPipeline.Types.PipelineIdName

NFData PipelineIdName Source # 
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Defined in Amazonka.DataPipeline.Types.PipelineIdName

Methods

rnf :: PipelineIdName -> () #

Eq PipelineIdName Source # 
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Defined in Amazonka.DataPipeline.Types.PipelineIdName

Hashable PipelineIdName Source # 
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Defined in Amazonka.DataPipeline.Types.PipelineIdName

type Rep PipelineIdName Source # 
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Defined in Amazonka.DataPipeline.Types.PipelineIdName

type Rep PipelineIdName = D1 ('MetaData "PipelineIdName" "Amazonka.DataPipeline.Types.PipelineIdName" "amazonka-datapipeline-2.0-1cySuAk2jmdDRpZSxMUuos" 'False) (C1 ('MetaCons "PipelineIdName'" 'PrefixI 'True) (S1 ('MetaSel ('Just "id") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newPipelineIdName :: PipelineIdName Source #

Create a value of PipelineIdName 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:id:PipelineIdName', pipelineIdName_id - The ID of the pipeline that was assigned by AWS Data Pipeline. This is a string of the form df-297EG78HU43EEXAMPLE.

$sel:name:PipelineIdName', pipelineIdName_name - The name of the pipeline.

pipelineIdName_id :: Lens' PipelineIdName (Maybe Text) Source #

The ID of the pipeline that was assigned by AWS Data Pipeline. This is a string of the form df-297EG78HU43EEXAMPLE.

pipelineIdName_name :: Lens' PipelineIdName (Maybe Text) Source #

The name of the pipeline.

PipelineObject

data PipelineObject Source #

Contains information about a pipeline object. This can be a logical, physical, or physical attempt pipeline object. The complete set of components of a pipeline defines the pipeline.

See: newPipelineObject smart constructor.

Constructors

PipelineObject' 

Fields

  • id :: Text

    The ID of the object.

  • name :: Text

    The name of the object.

  • fields :: [Field]

    Key-value pairs that define the properties of the object.

Instances

Instances details
FromJSON PipelineObject Source # 
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Defined in Amazonka.DataPipeline.Types.PipelineObject

ToJSON PipelineObject Source # 
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Defined in Amazonka.DataPipeline.Types.PipelineObject

Generic PipelineObject Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.PipelineObject

Associated Types

type Rep PipelineObject :: Type -> Type #

Read PipelineObject Source # 
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Defined in Amazonka.DataPipeline.Types.PipelineObject

Show PipelineObject Source # 
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Defined in Amazonka.DataPipeline.Types.PipelineObject

NFData PipelineObject Source # 
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Defined in Amazonka.DataPipeline.Types.PipelineObject

Methods

rnf :: PipelineObject -> () #

Eq PipelineObject Source # 
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Defined in Amazonka.DataPipeline.Types.PipelineObject

Hashable PipelineObject Source # 
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Defined in Amazonka.DataPipeline.Types.PipelineObject

type Rep PipelineObject Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.PipelineObject

type Rep PipelineObject = D1 ('MetaData "PipelineObject" "Amazonka.DataPipeline.Types.PipelineObject" "amazonka-datapipeline-2.0-1cySuAk2jmdDRpZSxMUuos" 'False) (C1 ('MetaCons "PipelineObject'" 'PrefixI 'True) (S1 ('MetaSel ('Just "id") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "fields") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 [Field]))))

newPipelineObject Source #

Create a value of PipelineObject 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:id:PipelineObject', pipelineObject_id - The ID of the object.

$sel:name:PipelineObject', pipelineObject_name - The name of the object.

$sel:fields:PipelineObject', pipelineObject_fields - Key-value pairs that define the properties of the object.

pipelineObject_fields :: Lens' PipelineObject [Field] Source #

Key-value pairs that define the properties of the object.

Query

data Query Source #

Defines the query to run against an object.

See: newQuery smart constructor.

Constructors

Query' 

Fields

  • selectors :: Maybe [Selector]

    List of selectors that define the query. An object must satisfy all of the selectors to match the query.

Instances

Instances details
ToJSON Query Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.Query

Generic Query Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.Query

Associated Types

type Rep Query :: Type -> Type #

Methods

from :: Query -> Rep Query x #

to :: Rep Query x -> Query #

Read Query Source # 
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Defined in Amazonka.DataPipeline.Types.Query

Show Query Source # 
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Defined in Amazonka.DataPipeline.Types.Query

Methods

showsPrec :: Int -> Query -> ShowS #

show :: Query -> String #

showList :: [Query] -> ShowS #

NFData Query Source # 
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Defined in Amazonka.DataPipeline.Types.Query

Methods

rnf :: Query -> () #

Eq Query Source # 
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Defined in Amazonka.DataPipeline.Types.Query

Methods

(==) :: Query -> Query -> Bool #

(/=) :: Query -> Query -> Bool #

Hashable Query Source # 
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Defined in Amazonka.DataPipeline.Types.Query

Methods

hashWithSalt :: Int -> Query -> Int #

hash :: Query -> Int #

type Rep Query Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.Query

type Rep Query = D1 ('MetaData "Query" "Amazonka.DataPipeline.Types.Query" "amazonka-datapipeline-2.0-1cySuAk2jmdDRpZSxMUuos" 'False) (C1 ('MetaCons "Query'" 'PrefixI 'True) (S1 ('MetaSel ('Just "selectors") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Selector]))))

newQuery :: Query Source #

Create a value of Query 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:selectors:Query', query_selectors - List of selectors that define the query. An object must satisfy all of the selectors to match the query.

query_selectors :: Lens' Query (Maybe [Selector]) Source #

List of selectors that define the query. An object must satisfy all of the selectors to match the query.

Selector

data Selector Source #

A comparision that is used to determine whether a query should return this object.

See: newSelector smart constructor.

Constructors

Selector' 

Fields

  • fieldName :: Maybe Text

    The name of the field that the operator will be applied to. The field name is the "key" portion of the field definition in the pipeline definition syntax that is used by the AWS Data Pipeline API. If the field is not set on the object, the condition fails.

  • operator :: Maybe Operator
     

Instances

Instances details
ToJSON Selector Source # 
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Defined in Amazonka.DataPipeline.Types.Selector

Generic Selector Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.Selector

Associated Types

type Rep Selector :: Type -> Type #

Methods

from :: Selector -> Rep Selector x #

to :: Rep Selector x -> Selector #

Read Selector Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.Selector

Show Selector Source # 
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Defined in Amazonka.DataPipeline.Types.Selector

NFData Selector Source # 
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Defined in Amazonka.DataPipeline.Types.Selector

Methods

rnf :: Selector -> () #

Eq Selector Source # 
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Defined in Amazonka.DataPipeline.Types.Selector

Hashable Selector Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.Selector

Methods

hashWithSalt :: Int -> Selector -> Int #

hash :: Selector -> Int #

type Rep Selector Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.Selector

type Rep Selector = D1 ('MetaData "Selector" "Amazonka.DataPipeline.Types.Selector" "amazonka-datapipeline-2.0-1cySuAk2jmdDRpZSxMUuos" 'False) (C1 ('MetaCons "Selector'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fieldName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "operator") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Operator))))

newSelector :: Selector Source #

Create a value of Selector 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:fieldName:Selector', selector_fieldName - The name of the field that the operator will be applied to. The field name is the "key" portion of the field definition in the pipeline definition syntax that is used by the AWS Data Pipeline API. If the field is not set on the object, the condition fails.

$sel:operator:Selector', selector_operator - Undocumented member.

selector_fieldName :: Lens' Selector (Maybe Text) Source #

The name of the field that the operator will be applied to. The field name is the "key" portion of the field definition in the pipeline definition syntax that is used by the AWS Data Pipeline API. If the field is not set on the object, the condition fails.

Tag

data Tag Source #

Tags are key/value pairs defined by a user and associated with a pipeline to control access. AWS Data Pipeline allows you to associate ten tags per pipeline. For more information, see Controlling User Access to Pipelines in the AWS Data Pipeline Developer Guide.

See: newTag smart constructor.

Constructors

Tag' 

Fields

Instances

Instances details
FromJSON Tag Source # 
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Defined in Amazonka.DataPipeline.Types.Tag

ToJSON Tag Source # 
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Defined in Amazonka.DataPipeline.Types.Tag

Generic Tag Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.Tag

Associated Types

type Rep Tag :: Type -> Type #

Methods

from :: Tag -> Rep Tag x #

to :: Rep Tag x -> Tag #

Read Tag Source # 
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Defined in Amazonka.DataPipeline.Types.Tag

Show Tag Source # 
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Defined in Amazonka.DataPipeline.Types.Tag

Methods

showsPrec :: Int -> Tag -> ShowS #

show :: Tag -> String #

showList :: [Tag] -> ShowS #

NFData Tag Source # 
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Defined in Amazonka.DataPipeline.Types.Tag

Methods

rnf :: Tag -> () #

Eq Tag Source # 
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Defined in Amazonka.DataPipeline.Types.Tag

Methods

(==) :: Tag -> Tag -> Bool #

(/=) :: Tag -> Tag -> Bool #

Hashable Tag Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.Tag

Methods

hashWithSalt :: Int -> Tag -> Int #

hash :: Tag -> Int #

type Rep Tag Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.Tag

type Rep Tag = D1 ('MetaData "Tag" "Amazonka.DataPipeline.Types.Tag" "amazonka-datapipeline-2.0-1cySuAk2jmdDRpZSxMUuos" 'False) (C1 ('MetaCons "Tag'" 'PrefixI 'True) (S1 ('MetaSel ('Just "key") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newTag Source #

Create a value of Tag 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:key:Tag', tag_key - The key name of a tag defined by a user. For more information, see Controlling User Access to Pipelines in the AWS Data Pipeline Developer Guide.

$sel:value:Tag', tag_value - The optional value portion of a tag defined by a user. For more information, see Controlling User Access to Pipelines in the AWS Data Pipeline Developer Guide.

tag_key :: Lens' Tag Text Source #

The key name of a tag defined by a user. For more information, see Controlling User Access to Pipelines in the AWS Data Pipeline Developer Guide.

tag_value :: Lens' Tag Text Source #

The optional value portion of a tag defined by a user. For more information, see Controlling User Access to Pipelines in the AWS Data Pipeline Developer Guide.

TaskObject

data TaskObject Source #

Contains information about a pipeline task that is assigned to a task runner.

See: newTaskObject smart constructor.

Constructors

TaskObject' 

Fields

  • attemptId :: Maybe Text

    The ID of the pipeline task attempt object. AWS Data Pipeline uses this value to track how many times a task is attempted.

  • objects :: Maybe (HashMap Text PipelineObject)

    Connection information for the location where the task runner will publish the output of the task.

  • pipelineId :: Maybe Text

    The ID of the pipeline that provided the task.

  • taskId :: Maybe Text

    An internal identifier for the task. This ID is passed to the SetTaskStatus and ReportTaskProgress actions.

Instances

Instances details
FromJSON TaskObject Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.TaskObject

Generic TaskObject Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.TaskObject

Associated Types

type Rep TaskObject :: Type -> Type #

Read TaskObject Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.TaskObject

Show TaskObject Source # 
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Defined in Amazonka.DataPipeline.Types.TaskObject

NFData TaskObject Source # 
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Defined in Amazonka.DataPipeline.Types.TaskObject

Methods

rnf :: TaskObject -> () #

Eq TaskObject Source # 
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Defined in Amazonka.DataPipeline.Types.TaskObject

Hashable TaskObject Source # 
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Defined in Amazonka.DataPipeline.Types.TaskObject

type Rep TaskObject Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.TaskObject

type Rep TaskObject = D1 ('MetaData "TaskObject" "Amazonka.DataPipeline.Types.TaskObject" "amazonka-datapipeline-2.0-1cySuAk2jmdDRpZSxMUuos" 'False) (C1 ('MetaCons "TaskObject'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "attemptId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "objects") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text PipelineObject)))) :*: (S1 ('MetaSel ('Just "pipelineId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "taskId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newTaskObject :: TaskObject Source #

Create a value of TaskObject 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:attemptId:TaskObject', taskObject_attemptId - The ID of the pipeline task attempt object. AWS Data Pipeline uses this value to track how many times a task is attempted.

$sel:objects:TaskObject', taskObject_objects - Connection information for the location where the task runner will publish the output of the task.

$sel:pipelineId:TaskObject', taskObject_pipelineId - The ID of the pipeline that provided the task.

$sel:taskId:TaskObject', taskObject_taskId - An internal identifier for the task. This ID is passed to the SetTaskStatus and ReportTaskProgress actions.

taskObject_attemptId :: Lens' TaskObject (Maybe Text) Source #

The ID of the pipeline task attempt object. AWS Data Pipeline uses this value to track how many times a task is attempted.

taskObject_objects :: Lens' TaskObject (Maybe (HashMap Text PipelineObject)) Source #

Connection information for the location where the task runner will publish the output of the task.

taskObject_pipelineId :: Lens' TaskObject (Maybe Text) Source #

The ID of the pipeline that provided the task.

taskObject_taskId :: Lens' TaskObject (Maybe Text) Source #

An internal identifier for the task. This ID is passed to the SetTaskStatus and ReportTaskProgress actions.

ValidationError

data ValidationError Source #

Defines a validation error. Validation errors prevent pipeline activation. The set of validation errors that can be returned are defined by AWS Data Pipeline.

See: newValidationError smart constructor.

Constructors

ValidationError' 

Fields

  • errors :: Maybe [Text]

    A description of the validation error.

  • id :: Maybe Text

    The identifier of the object that contains the validation error.

Instances

Instances details
FromJSON ValidationError Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.ValidationError

Generic ValidationError Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.ValidationError

Associated Types

type Rep ValidationError :: Type -> Type #

Read ValidationError Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.ValidationError

Show ValidationError Source # 
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Defined in Amazonka.DataPipeline.Types.ValidationError

NFData ValidationError Source # 
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Defined in Amazonka.DataPipeline.Types.ValidationError

Methods

rnf :: ValidationError -> () #

Eq ValidationError Source # 
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Defined in Amazonka.DataPipeline.Types.ValidationError

Hashable ValidationError Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.ValidationError

type Rep ValidationError Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.ValidationError

type Rep ValidationError = D1 ('MetaData "ValidationError" "Amazonka.DataPipeline.Types.ValidationError" "amazonka-datapipeline-2.0-1cySuAk2jmdDRpZSxMUuos" 'False) (C1 ('MetaCons "ValidationError'" 'PrefixI 'True) (S1 ('MetaSel ('Just "errors") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])) :*: S1 ('MetaSel ('Just "id") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newValidationError :: ValidationError Source #

Create a value of ValidationError 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:errors:ValidationError', validationError_errors - A description of the validation error.

$sel:id:ValidationError', validationError_id - The identifier of the object that contains the validation error.

validationError_errors :: Lens' ValidationError (Maybe [Text]) Source #

A description of the validation error.

validationError_id :: Lens' ValidationError (Maybe Text) Source #

The identifier of the object that contains the validation error.

ValidationWarning

data ValidationWarning Source #

Defines a validation warning. Validation warnings do not prevent pipeline activation. The set of validation warnings that can be returned are defined by AWS Data Pipeline.

See: newValidationWarning smart constructor.

Constructors

ValidationWarning' 

Fields

  • id :: Maybe Text

    The identifier of the object that contains the validation warning.

  • warnings :: Maybe [Text]

    A description of the validation warning.

Instances

Instances details
FromJSON ValidationWarning Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.ValidationWarning

Generic ValidationWarning Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.ValidationWarning

Associated Types

type Rep ValidationWarning :: Type -> Type #

Read ValidationWarning Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.ValidationWarning

Show ValidationWarning Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.ValidationWarning

NFData ValidationWarning Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.ValidationWarning

Methods

rnf :: ValidationWarning -> () #

Eq ValidationWarning Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.ValidationWarning

Hashable ValidationWarning Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.ValidationWarning

type Rep ValidationWarning Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.ValidationWarning

type Rep ValidationWarning = D1 ('MetaData "ValidationWarning" "Amazonka.DataPipeline.Types.ValidationWarning" "amazonka-datapipeline-2.0-1cySuAk2jmdDRpZSxMUuos" 'False) (C1 ('MetaCons "ValidationWarning'" 'PrefixI 'True) (S1 ('MetaSel ('Just "id") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "warnings") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text]))))

newValidationWarning :: ValidationWarning Source #

Create a value of ValidationWarning 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:id:ValidationWarning', validationWarning_id - The identifier of the object that contains the validation warning.

$sel:warnings:ValidationWarning', validationWarning_warnings - A description of the validation warning.

validationWarning_id :: Lens' ValidationWarning (Maybe Text) Source #

The identifier of the object that contains the validation warning.

validationWarning_warnings :: Lens' ValidationWarning (Maybe [Text]) Source #

A description of the validation warning.