CfnClassifier
- class aws_cdk.aws_glue.CfnClassifier(scope, id, *, csv_classifier=None, grok_classifier=None, json_classifier=None, xml_classifier=None)
Bases:
CfnResource
The
AWS::Glue::Classifier
resource creates an AWS Glue classifier that categorizes data sources and specifies schemas.For more information, see Adding Classifiers to a Crawler and Classifier Structure in the AWS Glue Developer Guide .
- See:
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-classifier.html
- CloudformationResource:
AWS::Glue::Classifier
- 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_glue as glue cfn_classifier = glue.CfnClassifier(self, "MyCfnClassifier", csv_classifier=glue.CfnClassifier.CsvClassifierProperty( allow_single_column=False, contains_custom_datatype=["containsCustomDatatype"], contains_header="containsHeader", custom_datatype_configured=False, delimiter="delimiter", disable_value_trimming=False, header=["header"], name="name", quote_symbol="quoteSymbol" ), grok_classifier=glue.CfnClassifier.GrokClassifierProperty( classification="classification", grok_pattern="grokPattern", # the properties below are optional custom_patterns="customPatterns", name="name" ), json_classifier=glue.CfnClassifier.JsonClassifierProperty( json_path="jsonPath", # the properties below are optional name="name" ), xml_classifier=glue.CfnClassifier.XMLClassifierProperty( classification="classification", row_tag="rowTag", # the properties below are optional name="name" ) )
- Parameters:
scope (
Construct
) – Scope in which this resource is defined.id (
str
) – Construct identifier for this resource (unique in its scope).csv_classifier (
Union
[IResolvable
,CsvClassifierProperty
,Dict
[str
,Any
],None
]) – A classifier for comma-separated values (CSV).grok_classifier (
Union
[IResolvable
,GrokClassifierProperty
,Dict
[str
,Any
],None
]) – A classifier that usesgrok
.json_classifier (
Union
[IResolvable
,JsonClassifierProperty
,Dict
[str
,Any
],None
]) – A classifier for JSON content.xml_classifier (
Union
[IResolvable
,XMLClassifierProperty
,Dict
[str
,Any
],None
]) – A classifier for XML content.
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::Glue::Classifier'
- attr_id
Id
- Type:
cloudformationAttribute
- cfn_options
Options for this resource, such as condition, update policy etc.
- cfn_resource_type
AWS resource type.
- 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.
- csv_classifier
A classifier for comma-separated values (CSV).
- grok_classifier
A classifier that uses
grok
.
- json_classifier
A classifier for JSON content.
- 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.
- node
The tree node.
- 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 })
.
- stack
The stack in which this element is defined.
CfnElements must be defined within a stack scope (directly or indirectly).
- xml_classifier
A classifier for XML content.
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
.
CsvClassifierProperty
- class CfnClassifier.CsvClassifierProperty(*, allow_single_column=None, contains_custom_datatype=None, contains_header=None, custom_datatype_configured=None, delimiter=None, disable_value_trimming=None, header=None, name=None, quote_symbol=None)
Bases:
object
A classifier for custom
CSV
content.- Parameters:
allow_single_column (
Union
[bool
,IResolvable
,None
]) – Enables the processing of files that contain only one column.contains_custom_datatype (
Optional
[Sequence
[str
]]) – Indicates whether the CSV file contains custom data types.contains_header (
Optional
[str
]) – Indicates whether the CSV file contains a header. A value ofUNKNOWN
specifies that the classifier will detect whether the CSV file contains headings. A value ofPRESENT
specifies that the CSV file contains headings. A value ofABSENT
specifies that the CSV file does not contain headings.custom_datatype_configured (
Union
[bool
,IResolvable
,None
]) – Enables the configuration of custom data types.delimiter (
Optional
[str
]) – A custom symbol to denote what separates each column entry in the row.disable_value_trimming (
Union
[bool
,IResolvable
,None
]) – Specifies not to trim values before identifying the type of column values. The default value istrue
.header (
Optional
[Sequence
[str
]]) – A list of strings representing column names.name (
Optional
[str
]) – The name of the classifier.quote_symbol (
Optional
[str
]) – A custom symbol to denote what combines content into a single column value. It must be different from the column delimiter.
- 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_glue as glue csv_classifier_property = glue.CfnClassifier.CsvClassifierProperty( allow_single_column=False, contains_custom_datatype=["containsCustomDatatype"], contains_header="containsHeader", custom_datatype_configured=False, delimiter="delimiter", disable_value_trimming=False, header=["header"], name="name", quote_symbol="quoteSymbol" )
Attributes
- allow_single_column
Enables the processing of files that contain only one column.
- contains_custom_datatype
Indicates whether the CSV file contains custom data types.
- contains_header
Indicates whether the CSV file contains a header.
A value of
UNKNOWN
specifies that the classifier will detect whether the CSV file contains headings.A value of
PRESENT
specifies that the CSV file contains headings.A value of
ABSENT
specifies that the CSV file does not contain headings.
- custom_datatype_configured
Enables the configuration of custom data types.
- delimiter
A custom symbol to denote what separates each column entry in the row.
- disable_value_trimming
Specifies not to trim values before identifying the type of column values.
The default value is
true
.
- header
A list of strings representing column names.
- name
The name of the classifier.
- quote_symbol
A custom symbol to denote what combines content into a single column value.
It must be different from the column delimiter.
GrokClassifierProperty
- class CfnClassifier.GrokClassifierProperty(*, classification, grok_pattern, custom_patterns=None, name=None)
Bases:
object
A classifier that uses
grok
patterns.- Parameters:
classification (
str
) – An identifier of the data format that the classifier matches, such as Twitter, JSON, Omniture logs, and so on.grok_pattern (
str
) – The grok pattern applied to a data store by this classifier. For more information, see built-in patterns in Writing Custom Classifiers .custom_patterns (
Optional
[str
]) –Optional custom grok patterns defined by this classifier. For more information, see custom patterns in Writing Custom Classifiers .
name (
Optional
[str
]) – The name of the classifier.
- 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_glue as glue grok_classifier_property = glue.CfnClassifier.GrokClassifierProperty( classification="classification", grok_pattern="grokPattern", # the properties below are optional custom_patterns="customPatterns", name="name" )
Attributes
- classification
An identifier of the data format that the classifier matches, such as Twitter, JSON, Omniture logs, and so on.
- custom_patterns
Optional custom grok patterns defined by this classifier.
For more information, see custom patterns in Writing Custom Classifiers .
- grok_pattern
The grok pattern applied to a data store by this classifier.
For more information, see built-in patterns in Writing Custom Classifiers .
JsonClassifierProperty
- class CfnClassifier.JsonClassifierProperty(*, json_path, name=None)
Bases:
object
A classifier for
JSON
content.- Parameters:
json_path (
str
) – AJsonPath
string defining the JSON data for the classifier to classify. AWS Glue supports a subset ofJsonPath
, as described in Writing JsonPath Custom Classifiers .name (
Optional
[str
]) – The name of the classifier.
- 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_glue as glue json_classifier_property = glue.CfnClassifier.JsonClassifierProperty( json_path="jsonPath", # the properties below are optional name="name" )
Attributes
- json_path
A
JsonPath
string defining the JSON data for the classifier to classify.AWS Glue supports a subset of
JsonPath
, as described in Writing JsonPath Custom Classifiers .
XMLClassifierProperty
- class CfnClassifier.XMLClassifierProperty(*, classification, row_tag, name=None)
Bases:
object
A classifier for
XML
content.- Parameters:
classification (
str
) – An identifier of the data format that the classifier matches.row_tag (
str
) – The XML tag designating the element that contains each record in an XML document being parsed. This can’t identify a self-closing element (closed by/>
). An empty row element that contains only attributes can be parsed as long as it ends with a closing tag (for example,<row item_a="A" item_b="B"></row>
is okay, but<row item_a="A" item_b="B" />
is not).name (
Optional
[str
]) – The name of the classifier.
- 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_glue as glue x_mLClassifier_property = glue.CfnClassifier.XMLClassifierProperty( classification="classification", row_tag="rowTag", # the properties below are optional name="name" )
Attributes
- classification
An identifier of the data format that the classifier matches.
- name
The name of the classifier.
- row_tag
The XML tag designating the element that contains each record in an XML document being parsed.
This can’t identify a self-closing element (closed by
/>
). An empty row element that contains only attributes can be parsed as long as it ends with a closing tag (for example,<row item_a="A" item_b="B"></row>
is okay, but<row item_a="A" item_b="B" />
is not).