CfnSamplingRule
- class aws_cdk.aws_xray.CfnSamplingRule(scope, id, *, rule_name=None, sampling_rule=None, sampling_rule_record=None, sampling_rule_update=None, tags=None)
Bases:
CfnResource
Use the
AWS::XRay::SamplingRule
resource to specify a sampling rule, which controls sampling behavior for instrumented applications.Include a
SamplingRule
entity to create or update a sampling rule. .. epigraph:``SamplingRule.Version`` can only be set when creating a sampling rule. Updating the version will cause the update to fail.
Services retrieve rules with GetSamplingRules , and evaluate each rule in ascending order of priority for each request. If a rule matches, the service records a trace, borrowing it from the reservoir size. After 10 seconds, the service reports back to X-Ray with GetSamplingTargets to get updated versions of each in-use rule. The updated rule contains a trace quota that the service can use instead of borrowing from the reservoir.
- See:
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-xray-samplingrule.html
- CloudformationResource:
AWS::XRay::SamplingRule
- 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_xray as xray cfn_sampling_rule = xray.CfnSamplingRule(self, "MyCfnSamplingRule", rule_name="ruleName", sampling_rule=xray.CfnSamplingRule.SamplingRuleProperty( fixed_rate=123, host="host", http_method="httpMethod", priority=123, reservoir_size=123, resource_arn="resourceArn", service_name="serviceName", service_type="serviceType", url_path="urlPath", # the properties below are optional attributes={ "attributes_key": "attributes" }, rule_arn="ruleArn", rule_name="ruleName", version=123 ), sampling_rule_record=xray.CfnSamplingRule.SamplingRuleRecordProperty( created_at="createdAt", modified_at="modifiedAt", sampling_rule=xray.CfnSamplingRule.SamplingRuleProperty( fixed_rate=123, host="host", http_method="httpMethod", priority=123, reservoir_size=123, resource_arn="resourceArn", service_name="serviceName", service_type="serviceType", url_path="urlPath", # the properties below are optional attributes={ "attributes_key": "attributes" }, rule_arn="ruleArn", rule_name="ruleName", version=123 ) ), sampling_rule_update=xray.CfnSamplingRule.SamplingRuleUpdateProperty( attributes={ "attributes_key": "attributes" }, fixed_rate=123, host="host", http_method="httpMethod", priority=123, reservoir_size=123, resource_arn="resourceArn", rule_arn="ruleArn", rule_name="ruleName", service_name="serviceName", service_type="serviceType", url_path="urlPath" ), tags=[CfnTag( key="key", value="value" )] )
- Parameters:
scope (
Construct
) – Scope in which this resource is defined.id (
str
) – Construct identifier for this resource (unique in its scope).rule_name (
Optional
[str
]) – (deprecated) The ARN of the sampling rule. Specify a rule by either name or ARN, but not both.sampling_rule (
Union
[IResolvable
,SamplingRuleProperty
,Dict
[str
,Any
],None
]) – The sampling rule to be created or updated.sampling_rule_record (
Union
[IResolvable
,SamplingRuleRecordProperty
,Dict
[str
,Any
],None
]) –sampling_rule_update (
Union
[IResolvable
,SamplingRuleUpdateProperty
,Dict
[str
,Any
],None
]) –tags (
Optional
[Sequence
[Union
[CfnTag
,Dict
[str
,Any
]]]]) – An array of key-value pairs to apply to this resource.
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::XRay::SamplingRule'
- attr_rule_arn
The sampling rule ARN that was created or updated.
- CloudformationAttribute:
RuleARN
- cdk_tag_manager
Tag Manager which manages the tags for this resource.
- 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.
- 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 })
.
- rule_name
(deprecated) The ARN of the sampling rule.
- Deprecated:
this property has been deprecated
- Stability:
deprecated
- sampling_rule
The sampling rule to be created or updated.
- sampling_rule_record
this property has been deprecated
- Stability:
deprecated
- Type:
deprecated
- sampling_rule_update
this property has been deprecated
- Stability:
deprecated
- Type:
deprecated
- stack
The stack in which this element is defined.
CfnElements must be defined within a stack scope (directly or indirectly).
- tags
An array of key-value pairs to apply to this resource.
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
.
SamplingRuleProperty
- class CfnSamplingRule.SamplingRuleProperty(*, fixed_rate, host, http_method, priority, reservoir_size, resource_arn, service_name, service_type, url_path, attributes=None, rule_arn=None, rule_name=None, version=None)
Bases:
object
A sampling rule that services use to decide whether to instrument a request.
Rule fields can match properties of the service, or properties of a request. The service can ignore rules that don’t match its properties.
- Parameters:
fixed_rate (
Union
[int
,float
]) – The percentage of matching requests to instrument, after the reservoir is exhausted.host (
str
) – Matches the hostname from a request URL.http_method (
str
) – Matches the HTTP method of a request.priority (
Union
[int
,float
]) – The priority of the sampling rule.reservoir_size (
Union
[int
,float
]) – A fixed number of matching requests to instrument per second, prior to applying the fixed rate. The reservoir is not used directly by services, but applies to all services using the rule collectively.resource_arn (
str
) – Matches the ARN of the AWS resource on which the service runs.service_name (
str
) – Matches thename
that the service uses to identify itself in segments.service_type (
str
) – Matches theorigin
that the service uses to identify its type in segments.url_path (
str
) – Matches the path from a request URL.attributes (
Union
[IResolvable
,Mapping
[str
,str
],None
]) – Matches attributes derived from the request. Map Entries: Maximum number of 5 items. Key Length Constraints: Minimum length of 1. Maximum length of 32. Value Length Constraints: Minimum length of 1. Maximum length of 32.rule_arn (
Optional
[str
]) – The ARN of the sampling rule. Specify a rule by either name or ARN, but not both. .. epigraph:: Specifying a sampling rule by name is recommended, as specifying by ARN will be deprecated in future.rule_name (
Optional
[str
]) – The name of the sampling rule. Specify a rule by either name or ARN, but not both.version (
Union
[int
,float
,None
]) – The version of the sampling rule.Version
can only be set when creating a new sampling rule.
- 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_xray as xray sampling_rule_property = xray.CfnSamplingRule.SamplingRuleProperty( fixed_rate=123, host="host", http_method="httpMethod", priority=123, reservoir_size=123, resource_arn="resourceArn", service_name="serviceName", service_type="serviceType", url_path="urlPath", # the properties below are optional attributes={ "attributes_key": "attributes" }, rule_arn="ruleArn", rule_name="ruleName", version=123 )
Attributes
- attributes
Matches attributes derived from the request.
Map Entries: Maximum number of 5 items.
Key Length Constraints: Minimum length of 1. Maximum length of 32.
Value Length Constraints: Minimum length of 1. Maximum length of 32.
- fixed_rate
The percentage of matching requests to instrument, after the reservoir is exhausted.
- host
Matches the hostname from a request URL.
- http_method
Matches the HTTP method of a request.
- priority
The priority of the sampling rule.
- reservoir_size
A fixed number of matching requests to instrument per second, prior to applying the fixed rate.
The reservoir is not used directly by services, but applies to all services using the rule collectively.
- resource_arn
Matches the ARN of the AWS resource on which the service runs.
- rule_arn
The ARN of the sampling rule. Specify a rule by either name or ARN, but not both.
Specifying a sampling rule by name is recommended, as specifying by ARN will be deprecated in future.
- rule_name
The name of the sampling rule.
Specify a rule by either name or ARN, but not both.
- service_name
Matches the
name
that the service uses to identify itself in segments.
- service_type
Matches the
origin
that the service uses to identify its type in segments.
- url_path
Matches the path from a request URL.
- version
The version of the sampling rule.
Version
can only be set when creating a new sampling rule.
SamplingRuleRecordProperty
- class CfnSamplingRule.SamplingRuleRecordProperty(*, created_at=None, modified_at=None, sampling_rule=None)
Bases:
object
- Parameters:
created_at (
Optional
[str
]) – When the rule was created, in Unix time seconds.modified_at (
Optional
[str
]) – When the rule was modified, in Unix time seconds.sampling_rule (
Union
[IResolvable
,SamplingRuleProperty
,Dict
[str
,Any
],None
]) –
- 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_xray as xray sampling_rule_record_property = xray.CfnSamplingRule.SamplingRuleRecordProperty( created_at="createdAt", modified_at="modifiedAt", sampling_rule=xray.CfnSamplingRule.SamplingRuleProperty( fixed_rate=123, host="host", http_method="httpMethod", priority=123, reservoir_size=123, resource_arn="resourceArn", service_name="serviceName", service_type="serviceType", url_path="urlPath", # the properties below are optional attributes={ "attributes_key": "attributes" }, rule_arn="ruleArn", rule_name="ruleName", version=123 ) )
Attributes
- created_at
When the rule was created, in Unix time seconds.
- modified_at
When the rule was modified, in Unix time seconds.
SamplingRuleUpdateProperty
- class CfnSamplingRule.SamplingRuleUpdateProperty(*, attributes=None, fixed_rate=None, host=None, http_method=None, priority=None, reservoir_size=None, resource_arn=None, rule_arn=None, rule_name=None, service_name=None, service_type=None, url_path=None)
Bases:
object
- Parameters:
attributes (
Union
[IResolvable
,Mapping
[str
,str
],None
]) – Matches attributes derived from the request.fixed_rate (
Union
[int
,float
,None
]) – The percentage of matching requests to instrument, after the reservoir is exhausted.host (
Optional
[str
]) – Matches the hostname from a request URL.http_method (
Optional
[str
]) – Matches the HTTP method from a request URL.priority (
Union
[int
,float
,None
]) – The priority of the sampling rule.reservoir_size (
Union
[int
,float
,None
]) – A fixed number of matching requests to instrument per second, prior to applying the fixed rate. The reservoir is not used directly by services, but applies to all services using the rule collectively.resource_arn (
Optional
[str
]) – Matches the ARN of the AWS resource on which the service runs.rule_arn (
Optional
[str
]) – The ARN of the sampling rule. Specify a rule by either name or ARN, but not both.rule_name (
Optional
[str
]) – The ARN of the sampling rule. Specify a rule by either name or ARN, but not both.service_name (
Optional
[str
]) – Matches the name that the service uses to identify itself in segments.service_type (
Optional
[str
]) – Matches the origin that the service uses to identify its type in segments.url_path (
Optional
[str
]) – Matches the path from a request URL.
- 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_xray as xray sampling_rule_update_property = xray.CfnSamplingRule.SamplingRuleUpdateProperty( attributes={ "attributes_key": "attributes" }, fixed_rate=123, host="host", http_method="httpMethod", priority=123, reservoir_size=123, resource_arn="resourceArn", rule_arn="ruleArn", rule_name="ruleName", service_name="serviceName", service_type="serviceType", url_path="urlPath" )
Attributes
- attributes
Matches attributes derived from the request.
- fixed_rate
The percentage of matching requests to instrument, after the reservoir is exhausted.
- host
Matches the hostname from a request URL.
- http_method
Matches the HTTP method from a request URL.
- priority
The priority of the sampling rule.
- reservoir_size
A fixed number of matching requests to instrument per second, prior to applying the fixed rate.
The reservoir is not used directly by services, but applies to all services using the rule collectively.
- resource_arn
Matches the ARN of the AWS resource on which the service runs.
- rule_arn
The ARN of the sampling rule.
Specify a rule by either name or ARN, but not both.
- rule_name
The ARN of the sampling rule.
Specify a rule by either name or ARN, but not both.
- service_name
Matches the name that the service uses to identify itself in segments.
- service_type
Matches the origin that the service uses to identify its type in segments.
- url_path
Matches the path from a request URL.