CfnMetricFilterProps
- class aws_cdk.aws_logs.CfnMetricFilterProps(*, filter_pattern, log_group_name, metric_transformations, apply_on_transformed_logs=None, emit_system_field_dimensions=None, field_selection_criteria=None, filter_name=None)
Bases:
objectProperties for defining a
CfnMetricFilter.- Parameters:
filter_pattern (
str) – A filter pattern for extracting metric data out of ingested log events. For more information, see Filter and Pattern Syntax .log_group_name (
str) – The name of an existing log group that you want to associate with this metric filter.metric_transformations (
Union[IResolvable,Sequence[Union[IResolvable,MetricTransformationProperty,Dict[str,Any]]]]) – The metric transformations.apply_on_transformed_logs (
Union[bool,IResolvable,None]) – This parameter is valid only for log groups that have an active log transformer. For more information about log transformers, see PutTransformer . If this value istrue, the metric filter is applied on the transformed version of the log events instead of the original ingested log events.emit_system_field_dimensions (
Optional[Sequence[str]]) – The list of system fields that are emitted as additional dimensions in the generated metrics. Returns theemitSystemFieldDimensionsvalue if it was specified when the metric filter was created.field_selection_criteria (
Optional[str]) – The filter expression that specifies which log events are processed by this metric filter based on system fields. Returns thefieldSelectionCriteriavalue if it was specified when the metric filter was created.filter_name (
Optional[str]) – The name of the metric filter.
- See:
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-logs-metricfilter.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 import aws_logs as logs cfn_metric_filter_props = logs.CfnMetricFilterProps( filter_pattern="filterPattern", log_group_name="logGroupName", metric_transformations=[logs.CfnMetricFilter.MetricTransformationProperty( metric_name="metricName", metric_namespace="metricNamespace", metric_value="metricValue", # the properties below are optional default_value=123, dimensions=[logs.CfnMetricFilter.DimensionProperty( key="key", value="value" )], unit="unit" )], # the properties below are optional apply_on_transformed_logs=False, emit_system_field_dimensions=["emitSystemFieldDimensions"], field_selection_criteria="fieldSelectionCriteria", filter_name="filterName" )
Attributes
- apply_on_transformed_logs
This parameter is valid only for log groups that have an active log transformer.
For more information about log transformers, see PutTransformer .
If this value is
true, the metric filter is applied on the transformed version of the log events instead of the original ingested log events.
- emit_system_field_dimensions
The list of system fields that are emitted as additional dimensions in the generated metrics.
Returns the
emitSystemFieldDimensionsvalue if it was specified when the metric filter was created.
- field_selection_criteria
The filter expression that specifies which log events are processed by this metric filter based on system fields.
Returns the
fieldSelectionCriteriavalue if it was specified when the metric filter was created.
- filter_name
The name of the metric filter.
- filter_pattern
A filter pattern for extracting metric data out of ingested log events.
For more information, see Filter and Pattern Syntax .
- log_group_name
The name of an existing log group that you want to associate with this metric filter.
- metric_transformations
The metric transformations.