CfnProjectPropsMixin
- class aws_cdk.mixins_preview.aws_databrew.mixins.CfnProjectPropsMixin(props, *, strategy=None)
Bases:
MixinSpecifies a new AWS Glue DataBrew project.
- See:
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-databrew-project.html
- CloudformationResource:
AWS::DataBrew::Project
- Mixin:
true
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview import mixins from aws_cdk.mixins_preview.aws_databrew import mixins as databrew_mixins cfn_project_props_mixin = databrew_mixins.CfnProjectPropsMixin(databrew_mixins.CfnProjectMixinProps( dataset_name="datasetName", name="name", recipe_name="recipeName", role_arn="roleArn", sample=databrew_mixins.CfnProjectPropsMixin.SampleProperty( size=123, type="type" ), tags=[CfnTag( key="key", value="value" )] ), strategy=mixins.PropertyMergeStrategy.OVERRIDE )
Create a mixin to apply properties to
AWS::DataBrew::Project.- Parameters:
props (
Union[CfnProjectMixinProps,Dict[str,Any]]) – L1 properties to apply.strategy (
Optional[PropertyMergeStrategy]) – (experimental) Strategy for merging nested properties. Default: - PropertyMergeStrategy.MERGE
Methods
- apply_to(construct)
Apply the mixin properties to the construct.
- Parameters:
construct (
IConstruct)- Return type:
- supports(construct)
Check if this mixin supports the given construct.
- Parameters:
construct (
IConstruct)- Return type:
bool
Attributes
- CFN_PROPERTY_KEYS = ['datasetName', 'name', 'recipeName', 'roleArn', 'sample', 'tags']
Static Methods
- classmethod is_mixin(x)
(experimental) Checks if
xis a Mixin.- Parameters:
x (
Any) – Any object.- Return type:
bool- Returns:
true if
xis an object created from a class which extendsMixin.- Stability:
experimental
SampleProperty
- class CfnProjectPropsMixin.SampleProperty(*, size=None, type=None)
Bases:
objectRepresents the sample size and sampling type for DataBrew to use for interactive data analysis.
- Parameters:
size (
Union[int,float,None]) – The number of rows in the sample.type (
Optional[str]) – The way in which DataBrew obtains rows from a dataset.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_databrew import mixins as databrew_mixins sample_property = databrew_mixins.CfnProjectPropsMixin.SampleProperty( size=123, type="type" )
Attributes
- size
The number of rows in the sample.
- type
The way in which DataBrew obtains rows from a dataset.