CfnDataSource
- class aws_cdk.aws_datazone.CfnDataSource(scope, id, *, domain_identifier, environment_identifier, name, project_identifier, type, asset_forms_input=None, configuration=None, description=None, enable_setting=None, publish_on_import=None, recommendation=None, schedule=None)
Bases:
CfnResource
The
AWS::DataZone::DataSource
resource specifies an Amazon DataZone data source that is used to import technical metadata of assets (data) from the source databases or data warehouses into Amazon DataZone.- See:
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-datazone-datasource.html
- CloudformationResource:
AWS::DataZone::DataSource
- 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 import aws_datazone as datazone cfn_data_source = datazone.CfnDataSource(self, "MyCfnDataSource", domain_identifier="domainIdentifier", environment_identifier="environmentIdentifier", name="name", project_identifier="projectIdentifier", type="type", # the properties below are optional asset_forms_input=[datazone.CfnDataSource.FormInputProperty( form_name="formName", # the properties below are optional content="content", type_identifier="typeIdentifier", type_revision="typeRevision" )], configuration=datazone.CfnDataSource.DataSourceConfigurationInputProperty( glue_run_configuration=datazone.CfnDataSource.GlueRunConfigurationInputProperty( relational_filter_configurations=[datazone.CfnDataSource.RelationalFilterConfigurationProperty( database_name="databaseName", # the properties below are optional filter_expressions=[datazone.CfnDataSource.FilterExpressionProperty( expression="expression", type="type" )], schema_name="schemaName" )], # the properties below are optional auto_import_data_quality_result=False, data_access_role="dataAccessRole" ), redshift_run_configuration=datazone.CfnDataSource.RedshiftRunConfigurationInputProperty( redshift_credential_configuration=datazone.CfnDataSource.RedshiftCredentialConfigurationProperty( secret_manager_arn="secretManagerArn" ), redshift_storage=datazone.CfnDataSource.RedshiftStorageProperty( redshift_cluster_source=datazone.CfnDataSource.RedshiftClusterStorageProperty( cluster_name="clusterName" ), redshift_serverless_source=datazone.CfnDataSource.RedshiftServerlessStorageProperty( workgroup_name="workgroupName" ) ), relational_filter_configurations=[datazone.CfnDataSource.RelationalFilterConfigurationProperty( database_name="databaseName", # the properties below are optional filter_expressions=[datazone.CfnDataSource.FilterExpressionProperty( expression="expression", type="type" )], schema_name="schemaName" )], # the properties below are optional data_access_role="dataAccessRole" ) ), description="description", enable_setting="enableSetting", publish_on_import=False, recommendation=datazone.CfnDataSource.RecommendationConfigurationProperty( enable_business_name_generation=False ), schedule=datazone.CfnDataSource.ScheduleConfigurationProperty( schedule="schedule", timezone="timezone" ) )
- Parameters:
scope (
Construct
) – Scope in which this resource is defined.id (
str
) – Construct identifier for this resource (unique in its scope).domain_identifier (
str
) – The ID of the Amazon DataZone domain where the data source is created.environment_identifier (
str
) – The unique identifier of the Amazon DataZone environment to which the data source publishes assets.name (
str
) – The name of the data source.project_identifier (
str
) – The identifier of the Amazon DataZone project in which you want to add this data source.type (
str
) – The type of the data source.asset_forms_input (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,FormInputProperty
,Dict
[str
,Any
]]],None
]) – The metadata forms attached to the assets that the data source works with.configuration (
Union
[IResolvable
,DataSourceConfigurationInputProperty
,Dict
[str
,Any
],None
]) – The configuration of the data source.description (
Optional
[str
]) – The description of the data source.enable_setting (
Optional
[str
]) – Specifies whether the data source is enabled.publish_on_import (
Union
[bool
,IResolvable
,None
]) – Specifies whether the assets that this data source creates in the inventory are to be also automatically published to the catalog.recommendation (
Union
[IResolvable
,RecommendationConfigurationProperty
,Dict
[str
,Any
],None
]) – Specifies whether the business name generation is to be enabled for this data source.schedule (
Union
[IResolvable
,ScheduleConfigurationProperty
,Dict
[str
,Any
],None
]) – The schedule of the data source runs.
Methods
- add_deletion_override(path)
Syntactic sugar for
addOverride(path, undefined)
.- Parameters:
path (
str
) – The path of the value to delete.- Return type:
None
- add_dependency(target)
Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.
This can be used for resources across stacks (or nested stack) boundaries and the dependency will automatically be transferred to the relevant scope.
- Parameters:
target (
CfnResource
) –- Return type:
None
- add_depends_on(target)
(deprecated) Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.
- Parameters:
target (
CfnResource
) –- Deprecated:
use addDependency
- Stability:
deprecated
- Return type:
None
- add_metadata(key, value)
Add a value to the CloudFormation Resource Metadata.
- Parameters:
key (
str
) –value (
Any
) –
- See:
- Return type:
None
Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.
- add_override(path, value)
Adds an override to the synthesized CloudFormation resource.
To add a property override, either use
addPropertyOverride
or prefixpath
with “Properties.” (i.e.Properties.TopicName
).If the override is nested, separate each nested level using a dot (.) in the path parameter. If there is an array as part of the nesting, specify the index in the path.
To include a literal
.
in the property name, prefix with a\
. In most programming languages you will need to write this as"\\."
because the\
itself will need to be escaped.For example:
cfn_resource.add_override("Properties.GlobalSecondaryIndexes.0.Projection.NonKeyAttributes", ["myattribute"]) cfn_resource.add_override("Properties.GlobalSecondaryIndexes.1.ProjectionType", "INCLUDE")
would add the overrides Example:
"Properties": { "GlobalSecondaryIndexes": [ { "Projection": { "NonKeyAttributes": [ "myattribute" ] ... } ... }, { "ProjectionType": "INCLUDE" ... }, ] ... }
The
value
argument toaddOverride
will not be processed or translated in any way. Pass raw JSON values in here with the correct capitalization for CloudFormation. If you pass CDK classes or structs, they will be rendered with lowercased key names, and CloudFormation will reject the template.- Parameters:
path (
str
) –The path of the property, you can use dot notation to override values in complex types. Any intermediate keys will be created as needed.
value (
Any
) –The value. Could be primitive or complex.
- Return type:
None
- add_property_deletion_override(property_path)
Adds an override that deletes the value of a property from the resource definition.
- Parameters:
property_path (
str
) – The path to the property.- Return type:
None
- add_property_override(property_path, value)
Adds an override to a resource property.
Syntactic sugar for
addOverride("Properties.<...>", value)
.- Parameters:
property_path (
str
) – The path of the property.value (
Any
) – The value.
- Return type:
None
- apply_removal_policy(policy=None, *, apply_to_update_replace_policy=None, default=None)
Sets the deletion policy of the resource based on the removal policy specified.
The Removal Policy controls what happens to this resource when it stops being managed by CloudFormation, either because you’ve removed it from the CDK application or because you’ve made a change that requires the resource to be replaced.
The resource can be deleted (
RemovalPolicy.DESTROY
), or left in your AWS account for data recovery and cleanup later (RemovalPolicy.RETAIN
). In some cases, a snapshot can be taken of the resource prior to deletion (RemovalPolicy.SNAPSHOT
). A list of resources that support this policy can be found in the following link:- Parameters:
policy (
Optional
[RemovalPolicy
]) –apply_to_update_replace_policy (
Optional
[bool
]) – Apply the same deletion policy to the resource’s “UpdateReplacePolicy”. Default: truedefault (
Optional
[RemovalPolicy
]) – The default policy to apply in case the removal policy is not defined. Default: - Default value is resource specific. To determine the default value for a resource, please consult that specific resource’s documentation.
- See:
- Return type:
None
- get_att(attribute_name, type_hint=None)
Returns a token for an runtime attribute of this resource.
Ideally, use generated attribute accessors (e.g.
resource.arn
), but this can be used for future compatibility in case there is no generated attribute.- Parameters:
attribute_name (
str
) – The name of the attribute.type_hint (
Optional
[ResolutionTypeHint
]) –
- Return type:
- get_metadata(key)
Retrieve a value value from the CloudFormation Resource Metadata.
- Parameters:
key (
str
) –- See:
- Return type:
Any
Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.
- inspect(inspector)
Examines the CloudFormation resource and discloses attributes.
- Parameters:
inspector (
TreeInspector
) – tree inspector to collect and process attributes.- Return type:
None
- obtain_dependencies()
Retrieves an array of resources this resource depends on.
This assembles dependencies on resources across stacks (including nested stacks) automatically.
- Return type:
List
[Union
[Stack
,CfnResource
]]
- obtain_resource_dependencies()
Get a shallow copy of dependencies between this resource and other resources in the same stack.
- Return type:
List
[CfnResource
]
- override_logical_id(new_logical_id)
Overrides the auto-generated logical ID with a specific ID.
- Parameters:
new_logical_id (
str
) – The new logical ID to use for this stack element.- Return type:
None
- remove_dependency(target)
Indicates that this resource no longer depends on another resource.
This can be used for resources across stacks (including nested stacks) and the dependency will automatically be removed from the relevant scope.
- Parameters:
target (
CfnResource
) –- Return type:
None
- replace_dependency(target, new_target)
Replaces one dependency with another.
- Parameters:
target (
CfnResource
) – The dependency to replace.new_target (
CfnResource
) – The new dependency to add.
- Return type:
None
- to_string()
Returns a string representation of this construct.
- Return type:
str
- Returns:
a string representation of this resource
Attributes
- CFN_RESOURCE_TYPE_NAME = 'AWS::DataZone::DataSource'
- asset_forms_input
The metadata forms attached to the assets that the data source works with.
- attr_created_at
The timestamp of when the data source was created.
- CloudformationAttribute:
CreatedAt
- attr_domain_id
The ID of the Amazon DataZone domain in which the data source exists.
- CloudformationAttribute:
DomainId
- attr_environment_id
The ID of the environment in which the data source exists.
- CloudformationAttribute:
EnvironmentId
- attr_id
The identifier of the data source run.
- CloudformationAttribute:
Id
- attr_last_run_asset_count
The count of the assets created during the last data source run.
- CloudformationAttribute:
LastRunAssetCount
- attr_last_run_at
The timestamp of when the data source run was last performed.
- CloudformationAttribute:
LastRunAt
- attr_last_run_status
The status of the last data source run.
- CloudformationAttribute:
LastRunStatus
- attr_project_id
The project ID included in the data source run activity.
- CloudformationAttribute:
ProjectId
- attr_status
The status of the data source.
- CloudformationAttribute:
Status
- attr_updated_at
The timestamp of when the data source was updated.
- CloudformationAttribute:
UpdatedAt
- cfn_options
Options for this resource, such as condition, update policy etc.
- cfn_resource_type
AWS resource type.
- configuration
The configuration of the data source.
- creation_stack
return:
the stack trace of the point where this Resource was created from, sourced from the +metadata+ entry typed +aws:cdk:logicalId+, and with the bottom-most node +internal+ entries filtered.
- description
The description of the data source.
- domain_identifier
The ID of the Amazon DataZone domain where the data source is created.
- enable_setting
Specifies whether the data source is enabled.
- environment_identifier
The unique identifier of the Amazon DataZone environment to which the data source publishes assets.
- logical_id
The logical ID for this CloudFormation stack element.
The logical ID of the element is calculated from the path of the resource node in the construct tree.
To override this value, use
overrideLogicalId(newLogicalId)
.- Returns:
the logical ID as a stringified token. This value will only get resolved during synthesis.
- name
The name of the data source.
- node
The tree node.
- project_identifier
The identifier of the Amazon DataZone project in which you want to add this data source.
- publish_on_import
Specifies whether the assets that this data source creates in the inventory are to be also automatically published to the catalog.
- recommendation
Specifies whether the business name generation is to be enabled for this data source.
- ref
Return a string that will be resolved to a CloudFormation
{ Ref }
for this element.If, by any chance, the intrinsic reference of a resource is not a string, you could coerce it to an IResolvable through
Lazy.any({ produce: resource.ref })
.
- schedule
The schedule of the data source runs.
- stack
The stack in which this element is defined.
CfnElements must be defined within a stack scope (directly or indirectly).
- type
The type of the data source.
Static Methods
- classmethod is_cfn_element(x)
Returns
true
if a construct is a stack element (i.e. part of the synthesized cloudformation template).Uses duck-typing instead of
instanceof
to allow stack elements from different versions of this library to be included in the same stack.- Parameters:
x (
Any
) –- Return type:
bool
- Returns:
The construct as a stack element or undefined if it is not a stack element.
- classmethod is_cfn_resource(x)
Check whether the given object is a CfnResource.
- Parameters:
x (
Any
) –- Return type:
bool
- classmethod is_construct(x)
Checks if
x
is a construct.Use this method instead of
instanceof
to properly detectConstruct
instances, even when the construct library is symlinked.Explanation: in JavaScript, multiple copies of the
constructs
library on disk are seen as independent, completely different libraries. As a consequence, the classConstruct
in each copy of theconstructs
library is seen as a different class, and an instance of one class will not test asinstanceof
the other class.npm install
will not create installations like this, but users may manually symlink construct libraries together or use a monorepo tool: in those cases, multiple copies of theconstructs
library can be accidentally installed, andinstanceof
will behave unpredictably. It is safest to avoid usinginstanceof
, and using this type-testing method instead.- Parameters:
x (
Any
) – Any object.- Return type:
bool
- Returns:
true if
x
is an object created from a class which extendsConstruct
.
DataSourceConfigurationInputProperty
- class CfnDataSource.DataSourceConfigurationInputProperty(*, glue_run_configuration=None, redshift_run_configuration=None)
Bases:
object
The configuration of the data source.
- Parameters:
glue_run_configuration (
Union
[IResolvable
,GlueRunConfigurationInputProperty
,Dict
[str
,Any
],None
]) – The configuration of the AWS Glue data source.redshift_run_configuration (
Union
[IResolvable
,RedshiftRunConfigurationInputProperty
,Dict
[str
,Any
],None
]) – The configuration of the Amazon Redshift data source.
- 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 import aws_datazone as datazone data_source_configuration_input_property = datazone.CfnDataSource.DataSourceConfigurationInputProperty( glue_run_configuration=datazone.CfnDataSource.GlueRunConfigurationInputProperty( relational_filter_configurations=[datazone.CfnDataSource.RelationalFilterConfigurationProperty( database_name="databaseName", # the properties below are optional filter_expressions=[datazone.CfnDataSource.FilterExpressionProperty( expression="expression", type="type" )], schema_name="schemaName" )], # the properties below are optional auto_import_data_quality_result=False, data_access_role="dataAccessRole" ), redshift_run_configuration=datazone.CfnDataSource.RedshiftRunConfigurationInputProperty( redshift_credential_configuration=datazone.CfnDataSource.RedshiftCredentialConfigurationProperty( secret_manager_arn="secretManagerArn" ), redshift_storage=datazone.CfnDataSource.RedshiftStorageProperty( redshift_cluster_source=datazone.CfnDataSource.RedshiftClusterStorageProperty( cluster_name="clusterName" ), redshift_serverless_source=datazone.CfnDataSource.RedshiftServerlessStorageProperty( workgroup_name="workgroupName" ) ), relational_filter_configurations=[datazone.CfnDataSource.RelationalFilterConfigurationProperty( database_name="databaseName", # the properties below are optional filter_expressions=[datazone.CfnDataSource.FilterExpressionProperty( expression="expression", type="type" )], schema_name="schemaName" )], # the properties below are optional data_access_role="dataAccessRole" ) )
Attributes
- glue_run_configuration
The configuration of the AWS Glue data source.
- redshift_run_configuration
The configuration of the Amazon Redshift data source.
FilterExpressionProperty
- class CfnDataSource.FilterExpressionProperty(*, expression, type)
Bases:
object
A filter expression in Amazon DataZone.
- Parameters:
expression (
str
) – The search filter expression.type (
str
) – The search filter explresison type.
- 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 import aws_datazone as datazone filter_expression_property = datazone.CfnDataSource.FilterExpressionProperty( expression="expression", type="type" )
Attributes
- expression
The search filter expression.
- type
The search filter explresison type.
FormInputProperty
- class CfnDataSource.FormInputProperty(*, form_name, content=None, type_identifier=None, type_revision=None)
Bases:
object
The details of a metadata form.
- Parameters:
form_name (
str
) – The name of the metadata form.content (
Optional
[str
]) – The content of the metadata form.type_identifier (
Optional
[str
]) – The ID of the metadata form type.type_revision (
Optional
[str
]) – The revision of the metadata form type.
- 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 import aws_datazone as datazone form_input_property = datazone.CfnDataSource.FormInputProperty( form_name="formName", # the properties below are optional content="content", type_identifier="typeIdentifier", type_revision="typeRevision" )
Attributes
- content
The content of the metadata form.
- form_name
The name of the metadata form.
- type_identifier
The ID of the metadata form type.
- type_revision
The revision of the metadata form type.
GlueRunConfigurationInputProperty
- class CfnDataSource.GlueRunConfigurationInputProperty(*, relational_filter_configurations, auto_import_data_quality_result=None, data_access_role=None)
Bases:
object
The configuration details of the AWS Glue data source.
- Parameters:
relational_filter_configurations (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,RelationalFilterConfigurationProperty
,Dict
[str
,Any
]]]]) – The relational filter configurations included in the configuration details of the AWS Glue data source.auto_import_data_quality_result (
Union
[bool
,IResolvable
,None
]) – Specifies whether to automatically import data quality metrics as part of the data source run.data_access_role (
Optional
[str
]) – The data access role included in the configuration details of the AWS Glue data source.
- 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 import aws_datazone as datazone glue_run_configuration_input_property = datazone.CfnDataSource.GlueRunConfigurationInputProperty( relational_filter_configurations=[datazone.CfnDataSource.RelationalFilterConfigurationProperty( database_name="databaseName", # the properties below are optional filter_expressions=[datazone.CfnDataSource.FilterExpressionProperty( expression="expression", type="type" )], schema_name="schemaName" )], # the properties below are optional auto_import_data_quality_result=False, data_access_role="dataAccessRole" )
Attributes
- auto_import_data_quality_result
Specifies whether to automatically import data quality metrics as part of the data source run.
- data_access_role
The data access role included in the configuration details of the AWS Glue data source.
- relational_filter_configurations
The relational filter configurations included in the configuration details of the AWS Glue data source.
RecommendationConfigurationProperty
- class CfnDataSource.RecommendationConfigurationProperty(*, enable_business_name_generation=None)
Bases:
object
The recommendation configuration for the data source.
- Parameters:
enable_business_name_generation (
Union
[bool
,IResolvable
,None
]) – Specifies whether automatic business name generation is to be enabled or not as part of the recommendation configuration.- 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 import aws_datazone as datazone recommendation_configuration_property = datazone.CfnDataSource.RecommendationConfigurationProperty( enable_business_name_generation=False )
Attributes
- enable_business_name_generation
Specifies whether automatic business name generation is to be enabled or not as part of the recommendation configuration.
RedshiftClusterStorageProperty
- class CfnDataSource.RedshiftClusterStorageProperty(*, cluster_name)
Bases:
object
The details of the Amazon Redshift cluster storage.
- Parameters:
cluster_name (
str
) – The name of an Amazon Redshift cluster.- 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 import aws_datazone as datazone redshift_cluster_storage_property = datazone.CfnDataSource.RedshiftClusterStorageProperty( cluster_name="clusterName" )
Attributes
- cluster_name
The name of an Amazon Redshift cluster.
RedshiftCredentialConfigurationProperty
- class CfnDataSource.RedshiftCredentialConfigurationProperty(*, secret_manager_arn)
Bases:
object
The details of the credentials required to access an Amazon Redshift cluster.
- Parameters:
secret_manager_arn (
str
) – The ARN of a secret manager for an Amazon Redshift cluster.- 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 import aws_datazone as datazone redshift_credential_configuration_property = datazone.CfnDataSource.RedshiftCredentialConfigurationProperty( secret_manager_arn="secretManagerArn" )
Attributes
- secret_manager_arn
The ARN of a secret manager for an Amazon Redshift cluster.
RedshiftRunConfigurationInputProperty
- class CfnDataSource.RedshiftRunConfigurationInputProperty(*, redshift_credential_configuration, redshift_storage, relational_filter_configurations, data_access_role=None)
Bases:
object
The relational filter configurations included in the configuration details of the Amazon Redshift data source.
- Parameters:
redshift_credential_configuration (
Union
[IResolvable
,RedshiftCredentialConfigurationProperty
,Dict
[str
,Any
]]) – The details of the credentials required to access an Amazon Redshift cluster.redshift_storage (
Union
[IResolvable
,RedshiftStorageProperty
,Dict
[str
,Any
]]) – The details of the Amazon Redshift storage as part of the configuration of an Amazon Redshift data source run.relational_filter_configurations (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,RelationalFilterConfigurationProperty
,Dict
[str
,Any
]]]]) – The relational filter configurations included in the configuration details of the AWS Glue data source.data_access_role (
Optional
[str
]) – The data access role included in the configuration details of the Amazon Redshift data source.
- 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 import aws_datazone as datazone redshift_run_configuration_input_property = datazone.CfnDataSource.RedshiftRunConfigurationInputProperty( redshift_credential_configuration=datazone.CfnDataSource.RedshiftCredentialConfigurationProperty( secret_manager_arn="secretManagerArn" ), redshift_storage=datazone.CfnDataSource.RedshiftStorageProperty( redshift_cluster_source=datazone.CfnDataSource.RedshiftClusterStorageProperty( cluster_name="clusterName" ), redshift_serverless_source=datazone.CfnDataSource.RedshiftServerlessStorageProperty( workgroup_name="workgroupName" ) ), relational_filter_configurations=[datazone.CfnDataSource.RelationalFilterConfigurationProperty( database_name="databaseName", # the properties below are optional filter_expressions=[datazone.CfnDataSource.FilterExpressionProperty( expression="expression", type="type" )], schema_name="schemaName" )], # the properties below are optional data_access_role="dataAccessRole" )
Attributes
- data_access_role
The data access role included in the configuration details of the Amazon Redshift data source.
- redshift_credential_configuration
The details of the credentials required to access an Amazon Redshift cluster.
- redshift_storage
The details of the Amazon Redshift storage as part of the configuration of an Amazon Redshift data source run.
- relational_filter_configurations
The relational filter configurations included in the configuration details of the AWS Glue data source.
RedshiftServerlessStorageProperty
- class CfnDataSource.RedshiftServerlessStorageProperty(*, workgroup_name)
Bases:
object
The details of the Amazon Redshift Serverless workgroup storage.
- Parameters:
workgroup_name (
str
) – The name of the Amazon Redshift Serverless workgroup.- 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 import aws_datazone as datazone redshift_serverless_storage_property = datazone.CfnDataSource.RedshiftServerlessStorageProperty( workgroup_name="workgroupName" )
Attributes
- workgroup_name
The name of the Amazon Redshift Serverless workgroup.
RedshiftStorageProperty
- class CfnDataSource.RedshiftStorageProperty(*, redshift_cluster_source=None, redshift_serverless_source=None)
Bases:
object
The details of the Amazon Redshift storage as part of the configuration of an Amazon Redshift data source run.
- Parameters:
redshift_cluster_source (
Union
[IResolvable
,RedshiftClusterStorageProperty
,Dict
[str
,Any
],None
]) – The details of the Amazon Redshift cluster source.redshift_serverless_source (
Union
[IResolvable
,RedshiftServerlessStorageProperty
,Dict
[str
,Any
],None
]) – The details of the Amazon Redshift Serverless workgroup source.
- 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 import aws_datazone as datazone redshift_storage_property = datazone.CfnDataSource.RedshiftStorageProperty( redshift_cluster_source=datazone.CfnDataSource.RedshiftClusterStorageProperty( cluster_name="clusterName" ), redshift_serverless_source=datazone.CfnDataSource.RedshiftServerlessStorageProperty( workgroup_name="workgroupName" ) )
Attributes
- redshift_cluster_source
The details of the Amazon Redshift cluster source.
- redshift_serverless_source
The details of the Amazon Redshift Serverless workgroup source.
RelationalFilterConfigurationProperty
- class CfnDataSource.RelationalFilterConfigurationProperty(*, database_name, filter_expressions=None, schema_name=None)
Bases:
object
The relational filter configuration for the data source.
- Parameters:
database_name (
str
) – The database name specified in the relational filter configuration for the data source.filter_expressions (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,FilterExpressionProperty
,Dict
[str
,Any
]]],None
]) – The filter expressions specified in the relational filter configuration for the data source.schema_name (
Optional
[str
]) – The schema name specified in the relational filter configuration for the data source.
- 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 import aws_datazone as datazone relational_filter_configuration_property = datazone.CfnDataSource.RelationalFilterConfigurationProperty( database_name="databaseName", # the properties below are optional filter_expressions=[datazone.CfnDataSource.FilterExpressionProperty( expression="expression", type="type" )], schema_name="schemaName" )
Attributes
- database_name
The database name specified in the relational filter configuration for the data source.
- filter_expressions
The filter expressions specified in the relational filter configuration for the data source.
- schema_name
The schema name specified in the relational filter configuration for the data source.
ScheduleConfigurationProperty
- class CfnDataSource.ScheduleConfigurationProperty(*, schedule=None, timezone=None)
Bases:
object
The details of the schedule of the data source runs.
- Parameters:
schedule (
Optional
[str
]) – The schedule of the data source runs.timezone (
Optional
[str
]) – The timezone of the data source run.
- 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 import aws_datazone as datazone schedule_configuration_property = datazone.CfnDataSource.ScheduleConfigurationProperty( schedule="schedule", timezone="timezone" )
Attributes
- schedule
The schedule of the data source runs.
- timezone
The timezone of the data source run.