libZSservicesZSamazonka-datapipelineZSamazonka-datapipeline
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.DataPipeline.Types

Description

 
Synopsis

Service Configuration

defaultService :: Service Source #

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

Errors

_InvalidRequestException :: AsError a => Getting (First ServiceError) 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.

_InternalServiceError :: AsError a => Getting (First ServiceError) a ServiceError Source #

An internal service error occurred.

_PipelineDeletedException :: AsError a => Getting (First ServiceError) a ServiceError Source #

The specified pipeline has been deleted.

_PipelineNotFoundException :: AsError a => Getting (First ServiceError) a ServiceError Source #

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

_TaskNotFoundException :: AsError a => Getting (First ServiceError) a ServiceError Source #

The specified task was not found.

OperatorType

newtype OperatorType Source #

Constructors

OperatorType' 

Instances

Instances details
Eq OperatorType Source # 
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Defined in Amazonka.DataPipeline.Types.OperatorType

Ord OperatorType Source # 
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Read OperatorType Source # 
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Show OperatorType Source # 
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Generic OperatorType Source # 
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Associated Types

type Rep OperatorType :: Type -> Type #

NFData OperatorType Source # 
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Methods

rnf :: OperatorType -> () #

Hashable OperatorType Source # 
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ToJSON OperatorType Source # 
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ToJSONKey OperatorType Source # 
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FromJSON OperatorType Source # 
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FromJSONKey OperatorType Source # 
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ToLog OperatorType Source # 
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ToHeader OperatorType Source # 
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ToQuery OperatorType Source # 
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FromXML OperatorType Source # 
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ToXML OperatorType Source # 
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Methods

toXML :: OperatorType -> XML #

ToByteString OperatorType Source # 
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FromText OperatorType Source # 
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ToText OperatorType Source # 
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Methods

toText :: OperatorType -> Text #

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

type Rep OperatorType = D1 ('MetaData "OperatorType" "Amazonka.DataPipeline.Types.OperatorType" "libZSservicesZSamazonka-datapipelineZSamazonka-datapipeline" '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
Eq TaskStatus Source # 
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Ord TaskStatus Source # 
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Read TaskStatus Source # 
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Show TaskStatus Source # 
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Generic TaskStatus Source # 
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Associated Types

type Rep TaskStatus :: Type -> Type #

NFData TaskStatus Source # 
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Methods

rnf :: TaskStatus -> () #

Hashable TaskStatus Source # 
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ToJSON TaskStatus Source # 
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ToJSONKey TaskStatus Source # 
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FromJSON TaskStatus Source # 
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FromJSONKey TaskStatus Source # 
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ToLog TaskStatus Source # 
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ToHeader TaskStatus Source # 
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ToQuery TaskStatus Source # 
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FromXML TaskStatus Source # 
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ToXML TaskStatus Source # 
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Methods

toXML :: TaskStatus -> XML #

ToByteString TaskStatus Source # 
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FromText TaskStatus Source # 
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ToText TaskStatus Source # 
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Methods

toText :: TaskStatus -> Text #

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

type Rep TaskStatus = D1 ('MetaData "TaskStatus" "Amazonka.DataPipeline.Types.TaskStatus" "libZSservicesZSamazonka-datapipelineZSamazonka-datapipeline" '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
Eq Field Source # 
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Defined in Amazonka.DataPipeline.Types.Field

Methods

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

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

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 #

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

Associated Types

type Rep Field :: Type -> Type #

Methods

from :: Field -> Rep Field x #

to :: Rep Field x -> Field #

NFData Field Source # 
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Methods

rnf :: Field -> () #

Hashable Field Source # 
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Methods

hashWithSalt :: Int -> Field -> Int #

hash :: Field -> Int #

ToJSON Field Source # 
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FromJSON Field Source # 
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type Rep Field Source # 
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Defined in Amazonka.DataPipeline.Types.Field

type Rep Field = D1 ('MetaData "Field" "Amazonka.DataPipeline.Types.Field" "libZSservicesZSamazonka-datapipelineZSamazonka-datapipeline" '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

  • signature :: Maybe Text

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

  • 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.

Instances

Instances details
Eq InstanceIdentity Source # 
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Defined in Amazonka.DataPipeline.Types.InstanceIdentity

Read InstanceIdentity Source # 
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Show InstanceIdentity Source # 
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Generic InstanceIdentity Source # 
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Associated Types

type Rep InstanceIdentity :: Type -> Type #

NFData InstanceIdentity Source # 
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Methods

rnf :: InstanceIdentity -> () #

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

ToJSON 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" "libZSservicesZSamazonka-datapipelineZSamazonka-datapipeline" 'False) (C1 ('MetaCons "InstanceIdentity'" 'PrefixI 'True) (S1 ('MetaSel ('Just "signature") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "document") '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: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.

$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.

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.

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.

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

  • values :: Maybe [Text]

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

  • 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".

Instances

Instances details
Eq Operator Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.Operator

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

Show 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 #

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

Methods

rnf :: Operator -> () #

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

Methods

hashWithSalt :: Int -> Operator -> Int #

hash :: Operator -> Int #

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

type Rep Operator Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.Operator

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

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

$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".

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

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".

ParameterAttribute

data ParameterAttribute Source #

The attributes allowed or specified with a parameter object.

See: newParameterAttribute smart constructor.

Constructors

ParameterAttribute' 

Fields

Instances

Instances details
Eq ParameterAttribute Source # 
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Defined in Amazonka.DataPipeline.Types.ParameterAttribute

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

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

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

Associated Types

type Rep ParameterAttribute :: Type -> Type #

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

Methods

rnf :: ParameterAttribute -> () #

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

ToJSON ParameterAttribute Source # 
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FromJSON ParameterAttribute Source # 
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type Rep ParameterAttribute Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.ParameterAttribute

type Rep ParameterAttribute = D1 ('MetaData "ParameterAttribute" "Amazonka.DataPipeline.Types.ParameterAttribute" "libZSservicesZSamazonka-datapipelineZSamazonka-datapipeline" '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
Eq ParameterObject Source # 
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Defined in Amazonka.DataPipeline.Types.ParameterObject

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

Show ParameterObject Source # 
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Generic ParameterObject Source # 
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Defined in Amazonka.DataPipeline.Types.ParameterObject

Associated Types

type Rep ParameterObject :: Type -> Type #

NFData ParameterObject Source # 
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Methods

rnf :: ParameterObject -> () #

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

ToJSON ParameterObject Source # 
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FromJSON ParameterObject Source # 
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Defined in Amazonka.DataPipeline.Types.ParameterObject

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

type Rep ParameterObject = D1 ('MetaData "ParameterObject" "Amazonka.DataPipeline.Types.ParameterObject" "libZSservicesZSamazonka-datapipelineZSamazonka-datapipeline" '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
Eq ParameterValue Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.ParameterValue

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

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

Generic ParameterValue Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.ParameterValue

Associated Types

type Rep ParameterValue :: Type -> Type #

NFData ParameterValue Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.ParameterValue

Methods

rnf :: ParameterValue -> () #

Hashable 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

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

type Rep ParameterValue Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.ParameterValue

type Rep ParameterValue = D1 ('MetaData "ParameterValue" "Amazonka.DataPipeline.Types.ParameterValue" "libZSservicesZSamazonka-datapipelineZSamazonka-datapipeline" '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
Eq PipelineDescription Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.PipelineDescription

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

Show 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 #

NFData PipelineDescription Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.PipelineDescription

Methods

rnf :: PipelineDescription -> () #

Hashable PipelineDescription Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.PipelineDescription

FromJSON PipelineDescription Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.PipelineDescription

type Rep PipelineDescription Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.PipelineDescription

type Rep PipelineDescription = D1 ('MetaData "PipelineDescription" "Amazonka.DataPipeline.Types.PipelineDescription" "libZSservicesZSamazonka-datapipelineZSamazonka-datapipeline" '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

  • name :: Maybe Text

    The name of the pipeline.

  • id :: Maybe Text

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

Instances

Instances details
Eq PipelineIdName Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.PipelineIdName

Read PipelineIdName Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.PipelineIdName

Show PipelineIdName Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.PipelineIdName

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

Associated Types

type Rep PipelineIdName :: Type -> Type #

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

Methods

rnf :: PipelineIdName -> () #

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

FromJSON 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" "libZSservicesZSamazonka-datapipelineZSamazonka-datapipeline" 'False) (C1 ('MetaCons "PipelineIdName'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "id") '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:name:PipelineIdName', pipelineIdName_name - The name of the pipeline.

$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.

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

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.

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
Eq PipelineObject Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.PipelineObject

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

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

Associated Types

type Rep PipelineObject :: Type -> Type #

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

Methods

rnf :: PipelineObject -> () #

Hashable 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

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

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

type Rep PipelineObject = D1 ('MetaData "PipelineObject" "Amazonka.DataPipeline.Types.PipelineObject" "libZSservicesZSamazonka-datapipelineZSamazonka-datapipeline" '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
Eq Query Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.Query

Methods

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

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

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 #

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

Associated Types

type Rep Query :: Type -> Type #

Methods

from :: Query -> Rep Query x #

to :: Rep Query x -> Query #

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

Methods

rnf :: Query -> () #

Hashable Query Source # 
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Methods

hashWithSalt :: Int -> Query -> Int #

hash :: Query -> Int #

ToJSON Query Source # 
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type Rep Query Source # 
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Defined in Amazonka.DataPipeline.Types.Query

type Rep Query = D1 ('MetaData "Query" "Amazonka.DataPipeline.Types.Query" "libZSservicesZSamazonka-datapipelineZSamazonka-datapipeline" '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

  • operator :: Maybe Operator
     
  • 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.

Instances

Instances details
Eq Selector Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.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

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 #

NFData Selector Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.Selector

Methods

rnf :: Selector -> () #

Hashable Selector Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.Selector

Methods

hashWithSalt :: Int -> Selector -> Int #

hash :: Selector -> Int #

ToJSON Selector Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.Selector

type Rep Selector Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.Selector

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

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:operator:Selector', selector_operator - Undocumented member.

$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.

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
Eq Tag Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.Tag

Methods

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

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

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 #

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 #

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

Methods

rnf :: Tag -> () #

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

Methods

hashWithSalt :: Int -> Tag -> Int #

hash :: Tag -> Int #

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

FromJSON Tag Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.Tag

type Rep Tag Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.Tag

type Rep Tag = D1 ('MetaData "Tag" "Amazonka.DataPipeline.Types.Tag" "libZSservicesZSamazonka-datapipelineZSamazonka-datapipeline" '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

  • pipelineId :: Maybe Text

    The ID of the pipeline that provided the task.

  • 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.

  • taskId :: Maybe Text

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

  • objects :: Maybe (HashMap Text PipelineObject)

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

Instances

Instances details
Eq TaskObject Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.TaskObject

Read TaskObject Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.TaskObject

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

Generic TaskObject Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.TaskObject

Associated Types

type Rep TaskObject :: Type -> Type #

NFData TaskObject Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.TaskObject

Methods

rnf :: TaskObject -> () #

Hashable TaskObject Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.TaskObject

FromJSON TaskObject Source # 
Instance details

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" "libZSservicesZSamazonka-datapipelineZSamazonka-datapipeline" 'False) (C1 ('MetaCons "TaskObject'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "pipelineId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "attemptId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "taskId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "objects") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text PipelineObject))))))

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

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

$sel:objects:TaskObject', taskObject_objects - 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_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_taskId :: Lens' TaskObject (Maybe Text) Source #

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

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.

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

  • id :: Maybe Text

    The identifier of the object that contains the validation error.

  • errors :: Maybe [Text]

    A description of the validation error.

Instances

Instances details
Eq ValidationError Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.ValidationError

Read ValidationError Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.ValidationError

Show 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 #

NFData ValidationError Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.ValidationError

Methods

rnf :: ValidationError -> () #

Hashable ValidationError Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.ValidationError

FromJSON 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" "libZSservicesZSamazonka-datapipelineZSamazonka-datapipeline" 'False) (C1 ('MetaCons "ValidationError'" 'PrefixI 'True) (S1 ('MetaSel ('Just "id") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "errors") '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:id:ValidationError', validationError_id - The identifier of the object that contains the validation error.

$sel:errors:ValidationError', validationError_errors - A description of the validation error.

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

The identifier of the object that contains the validation error.

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

A description of 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

  • warnings :: Maybe [Text]

    A description of the validation warning.

  • id :: Maybe Text

    The identifier of the object that contains the validation warning.

Instances

Instances details
Eq ValidationWarning Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.ValidationWarning

Read ValidationWarning Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.ValidationWarning

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

Generic ValidationWarning Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.ValidationWarning

Associated Types

type Rep ValidationWarning :: Type -> Type #

NFData ValidationWarning Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.ValidationWarning

Methods

rnf :: ValidationWarning -> () #

Hashable ValidationWarning Source # 
Instance details

Defined in Amazonka.DataPipeline.Types.ValidationWarning

FromJSON 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" "libZSservicesZSamazonka-datapipelineZSamazonka-datapipeline" 'False) (C1 ('MetaCons "ValidationWarning'" 'PrefixI 'True) (S1 ('MetaSel ('Just "warnings") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])) :*: S1 ('MetaSel ('Just "id") '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:warnings:ValidationWarning', validationWarning_warnings - A description of the validation warning.

$sel:id:ValidationWarning', validationWarning_id - The identifier of the object that contains the validation warning.

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

A description of the validation warning.

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

The identifier of the object that contains the validation warning.