Job

class aws_cdk.aws_glue_alpha.Job(scope, id, *, account=None, environment_from_arn=None, physical_name=None, region=None)

Bases: JobBase

(experimental) A Glue Job.

Stability:: experimental
Resource:: AWS::Glue::Job
ExampleMetadata:: fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_glue_alpha as glue_alpha
from aws_cdk import aws_iam as iam

# role: iam.Role

job = glue_alpha.Job.from_job_attributes(self, "MyJob",
    job_name="jobName",

    # the properties below are optional
    role=role
)

Parameters:

scope (Construct) –
id (str) –
account (Optional[str]) – The AWS account ID this resource belongs to. Default: - the resource is in the same account as the stack it belongs to
environment_from_arn (Optional[str]) – ARN to deduce region and account from. The ARN is parsed and the account and region are taken from the ARN. This should be used for imported resources. Cannot be supplied together with either account or region. Default: - take environment from account, region parameters, or use Stack environment.
physical_name (Optional[str]) – The value passed in by users to the physical name prop of the resource. - undefined implies that a physical name will be allocated by CloudFormation during deployment. - a concrete value implies a specific physical name - PhysicalName.GENERATE_IF_NEEDED is a marker that indicates that a physical will only be generated by the CDK if it is needed for cross-environment references. Otherwise, it will be allocated by CloudFormation. Default: - The physical name will be allocated by CloudFormation at deployment time
region (Optional[str]) – The AWS region this resource belongs to. Default: - the resource is in the same region as the stack it belongs to

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, stack_account=None, stack_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.
stack_account (Optional[str]) – Account of the stack this metric is attached to. Default: - Deployment account.
stack_region (Optional[str]) – Region of the stack this metric is attached to. 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, stack_account=None, stack_region=None, statistic=None, unit=None)

(experimental) Return a CloudWatch Metric indicating job failure.

This metric is based on the Rule returned by no-args onFailure() call.

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.
stack_account (Optional[str]) – Account of the stack this metric is attached to. Default: - Deployment account.
stack_region (Optional[str]) – Region of the stack this metric is attached to. 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, stack_account=None, stack_region=None, statistic=None, unit=None)

(experimental) Return a CloudWatch Metric indicating job success.

This metric is based on the Rule returned by no-args onSuccess() call.

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.
stack_account (Optional[str]) – Account of the stack this metric is attached to. Default: - Deployment account.
stack_region (Optional[str]) – Region of the stack this metric is attached to. 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, stack_account=None, stack_region=None, statistic=None, unit=None)

(experimental) Return a CloudWatch Metric indicating job timeout.

This metric is based on the Rule returned by no-args onTimeout() call.

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.
stack_account (Optional[str]) – Account of the stack this metric is attached to. Default: - Deployment account.
stack_region (Optional[str]) – Region of the stack this metric is attached to. 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) Create a CloudWatch Event Rule for this Glue Job when it’s in a given state.

Parameters:

id (str) – construct id.
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) Return a CloudWatch Event Rule matching FAILED state.

Parameters:

id (str) – construct id.
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.

Stability:

experimental

Return type:

Rule

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

(experimental) Create a CloudWatch Event Rule matching JobState.SUCCEEDED.

Parameters:

id (str) – construct id.
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.

Stability:

experimental

Return type:

Rule

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

(experimental) Return a CloudWatch Event Rule matching TIMEOUT state.

Parameters:

id (str) – construct id.
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.

Stability:

experimental

Return type:

Rule

to_string()

Returns a string representation of this construct.

Return type:: str

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

(experimental) The principal to grant permissions to.

Stability:: experimental

job_arn

(experimental) The ARN of the job.

Stability:: experimental

job_name

(experimental) The name of the job.

Stability:: experimental

node: The tree node.

role

(experimental) The IAM role Glue assumes to run this job.

Stability:: experimental

stack: The stack in which this resource is defined.

Static Methods

classmethod from_job_attributes(scope, id, *, job_name, role=None)

(experimental) Identifies an existing Glue Job from a subset of attributes that can be referenced from within another Stack or Construct.

Parameters:

scope (Construct) – The scope creating construct (usually this).
id (str) – The construct’s id.
job_name (str) – (experimental) The name of the job.
role (Optional[IRole]) – (experimental) The IAM role assumed by Glue to run this job. Default: - undefined

Stability:

experimental

Return type:

IJob

classmethod is_construct(x)

Checks if x is a construct.

Use this method instead of instanceof to properly detect Construct 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 class Construct in each copy of the constructs library is seen as a different class, and an instance of one class will not test as instanceof 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 the constructs library can be accidentally installed, and instanceof will behave unpredictably. It is safest to avoid using instanceof, 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 extends Construct.

classmethod is_owned_resource(construct)

Returns true if the construct was created by CDK, and false otherwise.

Parameters:

construct (IConstruct) –

Return type:

bool

classmethod is_resource(construct)

Check whether the given construct is a Resource.

Parameters:

construct (IConstruct) –

Return type:

bool