IJob

class aws_cdk.aws_glue_alpha.IJob(*args, **kwargs)

Bases: IResource, IGrantable, Protocol

(experimental) Interface representing a created or an imported Job.

Stability:

experimental

Methods

apply_removal_policy(policy)

Apply the given removal policy to this resource.

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).

Parameters:

policy (RemovalPolicy) –

Return type:

None

metric(metric_name, type, *, account=None, color=None, dimensions_map=None, label=None, period=None, region=None, statistic=None, unit=None)

(experimental) Create a CloudWatch metric.

Parameters:

  • metric_name (str) – name of the metric typically prefixed with glue.driver., glue.<executorId>. or glue.ALL..

  • type (MetricType) – the metric type.

  • account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.

  • color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color

  • dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.

  • label (Optional[str]) – Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label

  • period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)

  • region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.

  • statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average

  • unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream

See:

https://docs.aws.amazon.com/glue/latest/dg/monitoring-awsglue-with-cloudwatch-metrics.html

Stability:

experimental

Return type:

Metric

metric_failure(*, account=None, color=None, dimensions_map=None, label=None, period=None, region=None, statistic=None, unit=None)

(experimental) Create a CloudWatch Metric indicating job failure.

Parameters:

  • account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.

  • color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color

  • dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.

  • label (Optional[str]) –

    Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label

  • period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)

  • region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.

  • statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average

  • unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream

Stability:

experimental

Return type:

Metric

metric_success(*, account=None, color=None, dimensions_map=None, label=None, period=None, region=None, statistic=None, unit=None)

(experimental) Create a CloudWatch Metric indicating job success.

Parameters:

  • account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.

  • color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color

  • dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.

  • label (Optional[str]) –

    Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label

  • period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)

  • region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.

  • statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average

  • unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream

Stability:

experimental

Return type:

Metric

metric_timeout(*, account=None, color=None, dimensions_map=None, label=None, period=None, region=None, statistic=None, unit=None)

(experimental) Create a CloudWatch Metric indicating job timeout.

Parameters:

  • account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.

  • color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color

  • dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.

  • label (Optional[str]) –

    Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label

  • period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)

  • region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.

  • statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average

  • unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream

Stability:

experimental

Return type:

Metric

on_event(id, *, target=None, cross_stack_scope=None, description=None, event_pattern=None, rule_name=None)

(experimental) Defines a CloudWatch event rule triggered when something happens with this job.

Parameters:

  • id (str) –

  • target (Optional[IRuleTarget]) – The target to register for the event. Default: - No target is added to the rule. Use addTarget() to add a target.

  • cross_stack_scope (Optional[Construct]) – The scope to use if the source of the rule and its target are in different Stacks (but in the same account & region). This helps dealing with cycles that often arise in these situations. Default: - none (the main scope will be used, even for cross-stack Events)

  • description (Optional[str]) – A description of the rule’s purpose. Default: - No description

  • event_pattern (Union[EventPattern, Dict[str, Any], None]) – Additional restrictions for the event to route to the specified target. The method that generates the rule probably imposes some type of event filtering. The filtering implied by what you pass here is added on top of that filtering. Default: - No additional filtering based on an event pattern.

  • rule_name (Optional[str]) – A name for the rule. Default: AWS CloudFormation generates a unique physical ID.

See:

https://docs.aws.amazon.com/AmazonCloudWatch/latest/events/EventTypes.html#glue-event-types

Stability:

experimental

Return type:

Rule

on_failure(id, *, target=None, cross_stack_scope=None, description=None, event_pattern=None, rule_name=None)

(experimental) Defines a CloudWatch event rule triggered when this job moves to the FAILED state.

Parameters:

  • id (str) –

  • target (Optional[IRuleTarget]) – The target to register for the event. Default: - No target is added to the rule. Use addTarget() to add a target.

  • cross_stack_scope (Optional[Construct]) – The scope to use if the source of the rule and its target are in different Stacks (but in the same account & region). This helps dealing with cycles that often arise in these situations. Default: - none (the main scope will be used, even for cross-stack Events)

  • description (Optional[str]) – A description of the rule’s purpose. Default: - No description

  • event_pattern (Union[EventPattern, Dict[str, Any], None]) – Additional restrictions for the event to route to the specified target. The method that generates the rule probably imposes some type of event filtering. The filtering implied by what you pass here is added on top of that filtering. Default: - No additional filtering based on an event pattern.

  • rule_name (Optional[str]) – A name for the rule. Default: AWS CloudFormation generates a unique physical ID.

See:

https://docs.aws.amazon.com/AmazonCloudWatch/latest/events/EventTypes.html#glue-event-types

Stability:

experimental

Return type:

Rule

on_state_change(id, job_state, *, target=None, cross_stack_scope=None, description=None, event_pattern=None, rule_name=None)

(experimental) Defines a CloudWatch event rule triggered when this job moves to the input jobState.

Parameters:

  • id (str) –

  • job_state (JobState) –

  • target (Optional[IRuleTarget]) – The target to register for the event. Default: - No target is added to the rule. Use addTarget() to add a target.

  • cross_stack_scope (Optional[Construct]) – The scope to use if the source of the rule and its target are in different Stacks (but in the same account & region). This helps dealing with cycles that often arise in these situations. Default: - none (the main scope will be used, even for cross-stack Events)

  • description (Optional[str]) – A description of the rule’s purpose. Default: - No description

  • event_pattern (Union[EventPattern, Dict[str, Any], None]) – Additional restrictions for the event to route to the specified target. The method that generates the rule probably imposes some type of event filtering. The filtering implied by what you pass here is added on top of that filtering. Default: - No additional filtering based on an event pattern.

  • rule_name (Optional[str]) – A name for the rule. Default: AWS CloudFormation generates a unique physical ID.

See:

https://docs.aws.amazon.com/AmazonCloudWatch/latest/events/EventTypes.html#glue-event-types

Stability:

experimental

Return type:

Rule

on_success(id, *, target=None, cross_stack_scope=None, description=None, event_pattern=None, rule_name=None)

(experimental) Defines a CloudWatch event rule triggered when this job moves to the SUCCEEDED state.

Parameters:

  • id (str) –

  • target (Optional[IRuleTarget]) – The target to register for the event. Default: - No target is added to the rule. Use addTarget() to add a target.

  • cross_stack_scope (Optional[Construct]) – The scope to use if the source of the rule and its target are in different Stacks (but in the same account & region). This helps dealing with cycles that often arise in these situations. Default: - none (the main scope will be used, even for cross-stack Events)

  • description (Optional[str]) – A description of the rule’s purpose. Default: - No description

  • event_pattern (Union[EventPattern, Dict[str, Any], None]) – Additional restrictions for the event to route to the specified target. The method that generates the rule probably imposes some type of event filtering. The filtering implied by what you pass here is added on top of that filtering. Default: - No additional filtering based on an event pattern.

  • rule_name (Optional[str]) – A name for the rule. Default: AWS CloudFormation generates a unique physical ID.

See:

https://docs.aws.amazon.com/AmazonCloudWatch/latest/events/EventTypes.html#glue-event-types

Stability:

experimental

Return type:

Rule

on_timeout(id, *, target=None, cross_stack_scope=None, description=None, event_pattern=None, rule_name=None)

(experimental) Defines a CloudWatch event rule triggered when this job moves to the TIMEOUT state.

Parameters:

  • id (str) –

  • target (Optional[IRuleTarget]) – The target to register for the event. Default: - No target is added to the rule. Use addTarget() to add a target.

  • cross_stack_scope (Optional[Construct]) – The scope to use if the source of the rule and its target are in different Stacks (but in the same account & region). This helps dealing with cycles that often arise in these situations. Default: - none (the main scope will be used, even for cross-stack Events)

  • description (Optional[str]) – A description of the rule’s purpose. Default: - No description

  • event_pattern (Union[EventPattern, Dict[str, Any], None]) – Additional restrictions for the event to route to the specified target. The method that generates the rule probably imposes some type of event filtering. The filtering implied by what you pass here is added on top of that filtering. Default: - No additional filtering based on an event pattern.

  • rule_name (Optional[str]) – A name for the rule. Default: AWS CloudFormation generates a unique physical ID.

See:

https://docs.aws.amazon.com/AmazonCloudWatch/latest/events/EventTypes.html#glue-event-types

Stability:

experimental

Return type:

Rule

Attributes

env

The environment this resource belongs to.

For resources that are created and managed by the CDK (generally, those created by creating new class instances like Role, Bucket, etc.), this is always the same as the environment of the stack they belong to; however, for imported resources (those obtained from static methods like fromRoleArn, fromBucketName, etc.), that might be different than the stack they were imported into.

grant_principal

The principal to grant permissions to.

job_arn

(experimental) The ARN of the job.

Stability:

experimental

Attribute:

true

job_name

(experimental) The name of the job.

Stability:

experimental

Attribute:

true

node

The tree node.

stack

The stack in which this resource is defined.