CfnProjectPropsMixin

class aws_cdk.cfn_property_mixins.aws_databrew.CfnProjectPropsMixin(props, *, strategy=None)

Bases: Mixin

Specifies 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.cfn_property_mixins import aws_databrew as databrew
import aws_cdk as cdk

# merge_strategy: cdk.IMergeStrategy

cfn_project_props_mixin = databrew.CfnProjectPropsMixin(databrew.CfnProjectMixinProps(
    dataset_name="datasetName",
    name="name",
    recipe_name="recipeName",
    role_arn="roleArn",
    sample=databrew.CfnProjectPropsMixin.SampleProperty(
        size=123,
        type="type"
    ),
    tags=[cdk.CfnTag(
        key="key",
        value="value"
    )]
),
    strategy=merge_strategy
)

Create a mixin to apply properties to AWS::DataBrew::Project.

Parameters:
  • props (Union[CfnProjectMixinProps, Dict[str, Any]]) – L1 properties to apply.

  • strategy (Optional[IMergeStrategy]) – Strategy for merging nested properties. Default: - PropertyMergeStrategy.combine()

Methods

apply_to(construct)

Apply the mixin properties to the construct.

Parameters:

construct (IConstruct)

Return type:

None

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)

Checks if x is a Mixin.

Parameters:

x (Any) – Any object.

Return type:

bool

Returns:

true if x is an object created from a class which extends Mixin.

SampleProperty

class CfnProjectPropsMixin.SampleProperty(*, size=None, type=None)

Bases: object

Represents 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:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-databrew-project-sample.html

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.cfn_property_mixins import aws_databrew as databrew

sample_property = databrew.CfnProjectPropsMixin.SampleProperty(
    size=123,
    type="type"
)

Attributes

size

The number of rows in the sample.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-databrew-project-sample.html#cfn-databrew-project-sample-size

type

The way in which DataBrew obtains rows from a dataset.

See:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-databrew-project-sample.html#cfn-databrew-project-sample-type