EmrCreateCluster

class aws_cdk.aws_stepfunctions_tasks.EmrCreateCluster(scope, id, *, instances, name, additional_info=None, applications=None, auto_scaling_role=None, bootstrap_actions=None, cluster_role=None, configurations=None, custom_ami_id=None, ebs_root_volume_size=None, kerberos_attributes=None, log_uri=None, release_label=None, scale_down_behavior=None, security_configuration=None, service_role=None, step_concurrency_level=None, tags=None, visible_to_all_users=None, comment=None, heartbeat=None, input_path=None, integration_pattern=None, output_path=None, result_path=None, result_selector=None, timeout=None)

Bases: TaskStateBase

A Step Functions Task to create an EMR Cluster.

The ClusterConfiguration is defined as Parameters in the state machine definition.

OUTPUT: the ClusterId.

ExampleMetadata:

infused

Example:

cluster_role = iam.Role(self, "ClusterRole",
    assumed_by=iam.ServicePrincipal("ec2.amazonaws.com")
)

service_role = iam.Role(self, "ServiceRole",
    assumed_by=iam.ServicePrincipal("elasticmapreduce.amazonaws.com")
)

auto_scaling_role = iam.Role(self, "AutoScalingRole",
    assumed_by=iam.ServicePrincipal("elasticmapreduce.amazonaws.com")
)

auto_scaling_role.assume_role_policy.add_statements(
    iam.PolicyStatement(
        effect=iam.Effect.ALLOW,
        principals=[
            iam.ServicePrincipal("application-autoscaling.amazonaws.com")
        ],
        actions=["sts:AssumeRole"
        ]
    ))

tasks.EmrCreateCluster(self, "Create Cluster",
    instances=tasks.EmrCreateCluster.InstancesConfigProperty(),
    cluster_role=cluster_role,
    name=sfn.TaskInput.from_json_path_at("$.ClusterName").value,
    service_role=service_role,
    auto_scaling_role=auto_scaling_role
)
Parameters:

  • scope (Construct) –

  • id (str) –

  • instances (Union[InstancesConfigProperty, Dict[str, Any]]) – A specification of the number and type of Amazon EC2 instances.

  • name (str) – The Name of the Cluster.

  • additional_info (Optional[str]) – A JSON string for selecting additional features. Default: - None

  • applications (Optional[Sequence[Union[ApplicationConfigProperty, Dict[str, Any]]]]) – A case-insensitive list of applications for Amazon EMR to install and configure when launching the cluster. Default: - EMR selected default

  • auto_scaling_role (Optional[IRole]) – An IAM role for automatic scaling policies. Default: - A role will be created.

  • bootstrap_actions (Optional[Sequence[Union[BootstrapActionConfigProperty, Dict[str, Any]]]]) – A list of bootstrap actions to run before Hadoop starts on the cluster nodes. Default: - None

  • cluster_role (Optional[IRole]) – Also called instance profile and EC2 role. An IAM role for an EMR cluster. The EC2 instances of the cluster assume this role. This attribute has been renamed from jobFlowRole to clusterRole to align with other ERM/StepFunction integration parameters. Default: - - A Role will be created

  • configurations (Optional[Sequence[Union[ConfigurationProperty, Dict[str, Any]]]]) – The list of configurations supplied for the EMR cluster you are creating. Default: - None

  • custom_ami_id (Optional[str]) – The ID of a custom Amazon EBS-backed Linux AMI. Default: - None

  • ebs_root_volume_size (Optional[Size]) – The size of the EBS root device volume of the Linux AMI that is used for each EC2 instance. Default: - EMR selected default

  • kerberos_attributes (Union[KerberosAttributesProperty, Dict[str, Any], None]) – Attributes for Kerberos configuration when Kerberos authentication is enabled using a security configuration. Default: - None

  • log_uri (Optional[str]) – The location in Amazon S3 to write the log files of the job flow. Default: - None

  • release_label (Optional[str]) – The Amazon EMR release label, which determines the version of open-source application packages installed on the cluster. Default: - EMR selected default

  • scale_down_behavior (Optional[EmrClusterScaleDownBehavior]) – Specifies the way that individual Amazon EC2 instances terminate when an automatic scale-in activity occurs or an instance group is resized. Default: - EMR selected default

  • security_configuration (Optional[str]) – The name of a security configuration to apply to the cluster. Default: - None

  • service_role (Optional[IRole]) – The IAM role that will be assumed by the Amazon EMR service to access AWS resources on your behalf. Default: - A role will be created that Amazon EMR service can assume.

  • step_concurrency_level (Union[int, float, None]) – Specifies the step concurrency level to allow multiple steps to run in parallel. Requires EMR release label 5.28.0 or above. Must be in range [1, 256]. Default: 1 - no step concurrency allowed

  • tags (Optional[Mapping[str, str]]) – A list of tags to associate with a cluster and propagate to Amazon EC2 instances. Default: - None

  • visible_to_all_users (Optional[bool]) – A value of true indicates that all IAM users in the AWS account can perform cluster actions if they have the proper IAM policy permissions. Default: true

  • comment (Optional[str]) – An optional description for this state. Default: - No comment

  • heartbeat (Optional[Duration]) – Timeout for the heartbeat. Default: - None

  • input_path (Optional[str]) – JSONPath expression to select part of the state to be the input to this state. May also be the special value JsonPath.DISCARD, which will cause the effective input to be the empty object {}. Default: - The entire task input (JSON path ‘$’)

  • integration_pattern (Optional[IntegrationPattern]) – AWS Step Functions integrates with services directly in the Amazon States Language. You can control these AWS services using service integration patterns Default: - IntegrationPattern.REQUEST_RESPONSE for most tasks. IntegrationPattern.RUN_JOB for the following exceptions: BatchSubmitJob, EmrAddStep, EmrCreateCluster, EmrTerminationCluster, and EmrContainersStartJobRun.

  • output_path (Optional[str]) – JSONPath expression to select select a portion of the state output to pass to the next state. May also be the special value JsonPath.DISCARD, which will cause the effective output to be the empty object {}. Default: - The entire JSON node determined by the state input, the task result, and resultPath is passed to the next state (JSON path ‘$’)

  • result_path (Optional[str]) – JSONPath expression to indicate where to inject the state’s output. May also be the special value JsonPath.DISCARD, which will cause the state’s input to become its output. Default: - Replaces the entire input with the result (JSON path ‘$’)

  • result_selector (Optional[Mapping[str, Any]]) – The JSON that will replace the state’s raw result and become the effective result before ResultPath is applied. You can use ResultSelector to create a payload with values that are static or selected from the state’s raw result. Default: - None

  • timeout (Optional[Duration]) – Timeout for the state machine. Default: - None

Methods

add_catch(handler, *, errors=None, result_path=None)

Add a recovery handler for this state.

When a particular error occurs, execution will continue at the error handler instead of failing the state machine execution.

Parameters:

  • handler (IChainable) –

  • errors (Optional[Sequence[str]]) – Errors to recover from by going to the given state. A list of error strings to retry, which can be either predefined errors (for example Errors.NoChoiceMatched) or a self-defined error. Default: All errors

  • result_path (Optional[str]) – JSONPath expression to indicate where to inject the error data. May also be the special value DISCARD, which will cause the error data to be discarded. Default: $

Return type:

TaskStateBase

add_prefix(x)

Add a prefix to the stateId of this state.

Parameters:

x (str) –

Return type:

None

add_retry(*, backoff_rate=None, errors=None, interval=None, max_attempts=None)

Add retry configuration for this state.

This controls if and how the execution will be retried if a particular error occurs.

Parameters:

  • backoff_rate (Union[int, float, None]) – Multiplication for how much longer the wait interval gets on every retry. Default: 2

  • errors (Optional[Sequence[str]]) – Errors to retry. A list of error strings to retry, which can be either predefined errors (for example Errors.NoChoiceMatched) or a self-defined error. Default: All errors

  • interval (Optional[Duration]) – How many seconds to wait initially before retrying. Default: Duration.seconds(1)

  • max_attempts (Union[int, float, None]) – How many times to retry this particular error. May be 0 to disable retry for specific errors (in case you have a catch-all retry policy). Default: 3

Return type:

TaskStateBase

bind_to_graph(graph)

Register this state as part of the given graph.

Don’t call this. It will be called automatically when you work with states normally.

Parameters:

graph (StateGraph) –

Return type:

None

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

Return the given named metric for this Task.

Parameters:

  • metric_name (str) –

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

  • 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. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.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

Default:

  • sum over 5 minutes

Return type:

Metric

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

Metric for the number of times this activity fails.

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

  • 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. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.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

Default:

  • sum over 5 minutes

Return type:

Metric

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

Metric for the number of times the heartbeat times out for this activity.

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

  • 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. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.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

Default:

  • sum over 5 minutes

Return type:

Metric

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

The interval, in milliseconds, between the time the Task starts and the time it closes.

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

  • 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. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.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

Default:

  • average over 5 minutes

Return type:

Metric

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

The interval, in milliseconds, for which the activity stays in the schedule state.

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

  • 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. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.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

Default:

  • average over 5 minutes

Return type:

Metric

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

Metric for the number of times this activity is scheduled.

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

  • 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. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.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

Default:

  • sum over 5 minutes

Return type:

Metric

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

Metric for the number of times this activity is started.

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

  • 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. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.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

Default:

  • sum over 5 minutes

Return type:

Metric

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

Metric for the number of times this activity succeeds.

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

  • 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. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.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

Default:

  • sum over 5 minutes

Return type:

Metric

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

The interval, in milliseconds, between the time the activity is scheduled and the time it closes.

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

  • 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. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.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

Default:

  • average over 5 minutes

Return type:

Metric

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

Metric for the number of times this activity times out.

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

  • 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. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.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

Default:

  • sum over 5 minutes

Return type:

Metric

next(next)

Continue normal execution with the given state.

Parameters:

next (IChainable) –

Return type:

Chain

to_state_json()

Return the Amazon States Language object for this state.

Return type:

Mapping[Any, Any]

to_string()

Returns a string representation of this construct.

Return type:

str

Attributes

auto_scaling_role

The autoscaling role for the EMR Cluster.

Only available after task has been added to a state machine.

cluster_role

The instance role for the EMR Cluster.

Only available after task has been added to a state machine.

end_states

Continuable states of this Chainable.

id

Descriptive identifier for this chainable.

node

The construct tree node associated with this construct.

service_role

The service role for the EMR Cluster.

Only available after task has been added to a state machine.

start_state

First state of this Chainable.

state_id

Tokenized string that evaluates to the state’s ID.

Static Methods

classmethod filter_nextables(states)

Return only the states that allow chaining from an array of states.

Parameters:

states (Sequence[State]) –

Return type:

List[INextable]

classmethod find_reachable_end_states(start, *, include_error_handlers=None)

Find the set of end states states reachable through transitions from the given start state.

Parameters:

  • start (State) –

  • include_error_handlers (Optional[bool]) – Whether or not to follow error-handling transitions. Default: false

Return type:

List[State]

classmethod find_reachable_states(start, *, include_error_handlers=None)

Find the set of states reachable through transitions from the given start state.

This does not retrieve states from within sub-graphs, such as states within a Parallel state’s branch.

Parameters:

  • start (State) –

  • include_error_handlers (Optional[bool]) – Whether or not to follow error-handling transitions. Default: false

Return type:

List[State]

classmethod is_construct(x)

Return whether the given object is a Construct.

Parameters:

x (Any) –

Return type:

bool

classmethod prefix_states(root, prefix)

Add a prefix to the stateId of all States found in a construct tree.

Parameters:
Return type:

None

ApplicationConfigProperty

class EmrCreateCluster.ApplicationConfigProperty(*, name, additional_info=None, args=None, version=None)

Bases: object

Properties for the EMR Cluster Applications.

Applies to Amazon EMR releases 4.0 and later. A case-insensitive list of applications for Amazon EMR to install and configure when launching the cluster.

See the RunJobFlow API for complete documentation on input parameters

Parameters:

  • name (str) – The name of the application.

  • additional_info (Optional[Mapping[str, str]]) – This option is for advanced users only. This is meta information about third-party applications that third-party vendors use for testing purposes. Default: No additionalInfo

  • args (Optional[Sequence[str]]) – Arguments for Amazon EMR to pass to the application. Default: No args

  • version (Optional[str]) – The version of the application. Default: No version

See:

https://docs.aws.amazon.com/emr/latest/APIReference/API_Application.html

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_stepfunctions_tasks as stepfunctions_tasks

application_config_property = stepfunctions_tasks.EmrCreateCluster.ApplicationConfigProperty(
    name="name",

    # the properties below are optional
    additional_info={
        "additional_info_key": "additionalInfo"
    },
    args=["args"],
    version="version"
)

Attributes

additional_info

This option is for advanced users only.

This is meta information about third-party applications that third-party vendors use for testing purposes.

Default:

No additionalInfo

args

Arguments for Amazon EMR to pass to the application.

Default:

No args

name

The name of the application.

version

The version of the application.

Default:

No version

AutoScalingPolicyProperty

class EmrCreateCluster.AutoScalingPolicyProperty(*, constraints, rules)

Bases: object

An automatic scaling policy for a core instance group or task instance group in an Amazon EMR cluster.

Parameters:

  • constraints (Union[ScalingConstraintsProperty, Dict[str, Any]]) – The upper and lower EC2 instance limits for an automatic scaling policy. Automatic scaling activity will not cause an instance group to grow above or below these limits.

  • rules (Sequence[Union[ScalingRuleProperty, Dict[str, Any]]]) – The scale-in and scale-out rules that comprise the automatic scaling policy.

See:

https://docs.aws.amazon.com/emr/latest/APIReference/API_AutoScalingPolicy.html

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_stepfunctions_tasks as stepfunctions_tasks
import aws_cdk.core as cdk

auto_scaling_policy_property = stepfunctions_tasks.EmrCreateCluster.AutoScalingPolicyProperty(
    constraints=stepfunctions_tasks.EmrCreateCluster.ScalingConstraintsProperty(
        max_capacity=123,
        min_capacity=123
    ),
    rules=[stepfunctions_tasks.EmrCreateCluster.ScalingRuleProperty(
        action=stepfunctions_tasks.EmrCreateCluster.ScalingActionProperty(
            simple_scaling_policy_configuration=stepfunctions_tasks.EmrCreateCluster.SimpleScalingPolicyConfigurationProperty(
                scaling_adjustment=123,

                # the properties below are optional
                adjustment_type=stepfunctions_tasks.EmrCreateCluster.ScalingAdjustmentType.CHANGE_IN_CAPACITY,
                cool_down=123
            ),

            # the properties below are optional
            market=stepfunctions_tasks.EmrCreateCluster.InstanceMarket.ON_DEMAND
        ),
        name="name",
        trigger=stepfunctions_tasks.EmrCreateCluster.ScalingTriggerProperty(
            cloud_watch_alarm_definition=stepfunctions_tasks.EmrCreateCluster.CloudWatchAlarmDefinitionProperty(
                comparison_operator=stepfunctions_tasks.EmrCreateCluster.CloudWatchAlarmComparisonOperator.GREATER_THAN_OR_EQUAL,
                metric_name="metricName",
                period=cdk.Duration.minutes(30),

                # the properties below are optional
                dimensions=[stepfunctions_tasks.EmrCreateCluster.MetricDimensionProperty(
                    key="key",
                    value="value"
                )],
                evaluation_periods=123,
                namespace="namespace",
                statistic=stepfunctions_tasks.EmrCreateCluster.CloudWatchAlarmStatistic.SAMPLE_COUNT,
                threshold=123,
                unit=stepfunctions_tasks.EmrCreateCluster.CloudWatchAlarmUnit.NONE
            )
        ),

        # the properties below are optional
        description="description"
    )]
)

Attributes

constraints

The upper and lower EC2 instance limits for an automatic scaling policy.

Automatic scaling activity will not cause an instance group to grow above or below these limits.

rules

The scale-in and scale-out rules that comprise the automatic scaling policy.

BootstrapActionConfigProperty

class EmrCreateCluster.BootstrapActionConfigProperty(*, name, script_bootstrap_action)

Bases: object

Configuration of a bootstrap action.

See the RunJobFlow API for complete documentation on input parameters

Parameters:

  • name (str) – The name of the bootstrap action.

  • script_bootstrap_action (Union[ScriptBootstrapActionConfigProperty, Dict[str, Any]]) – The script run by the bootstrap action.

See:

https://docs.aws.amazon.com/emr/latest/APIReference/API_BootstrapActionConfig.html

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_stepfunctions_tasks as stepfunctions_tasks

bootstrap_action_config_property = stepfunctions_tasks.EmrCreateCluster.BootstrapActionConfigProperty(
    name="name",
    script_bootstrap_action=stepfunctions_tasks.EmrCreateCluster.ScriptBootstrapActionConfigProperty(
        path="path",

        # the properties below are optional
        args=["args"]
    )
)

Attributes

name

The name of the bootstrap action.

script_bootstrap_action

The script run by the bootstrap action.

CloudWatchAlarmComparisonOperator

class EmrCreateCluster.CloudWatchAlarmComparisonOperator(value)

Bases: Enum

CloudWatch Alarm Comparison Operators.

Attributes

GREATER_THAN

GREATER_THAN.

GREATER_THAN_OR_EQUAL

GREATER_THAN_OR_EQUAL.

LESS_THAN

LESS_THAN.

LESS_THAN_OR_EQUAL

LESS_THAN_OR_EQUAL.

CloudWatchAlarmDefinitionProperty

class EmrCreateCluster.CloudWatchAlarmDefinitionProperty(*, comparison_operator, metric_name, period, dimensions=None, evaluation_periods=None, namespace=None, statistic=None, threshold=None, unit=None)

Bases: object

The definition of a CloudWatch metric alarm, which determines when an automatic scaling activity is triggered.

When the defined alarm conditions are satisfied, scaling activity begins.

Parameters:

  • comparison_operator (CloudWatchAlarmComparisonOperator) – Determines how the metric specified by MetricName is compared to the value specified by Threshold.

  • metric_name (str) – The name of the CloudWatch metric that is watched to determine an alarm condition.

  • period (Duration) – The period, in seconds, over which the statistic is applied. EMR CloudWatch metrics are emitted every five minutes (300 seconds), so if an EMR CloudWatch metric is specified, specify 300.

  • dimensions (Optional[Sequence[Union[MetricDimensionProperty, Dict[str, Any]]]]) – A CloudWatch metric dimension. Default: - No dimensions

  • evaluation_periods (Union[int, float, None]) – The number of periods, in five-minute increments, during which the alarm condition must exist before the alarm triggers automatic scaling activity. Default: 1

  • namespace (Optional[str]) – The namespace for the CloudWatch metric. Default: ‘AWS/ElasticMapReduce’

  • statistic (Optional[CloudWatchAlarmStatistic]) – The statistic to apply to the metric associated with the alarm. Default: CloudWatchAlarmStatistic.AVERAGE

  • threshold (Union[int, float, None]) – The value against which the specified statistic is compared. Default: - None

  • unit (Optional[CloudWatchAlarmUnit]) – The unit of measure associated with the CloudWatch metric being watched. The value specified for Unit must correspond to the units specified in the CloudWatch metric. Default: CloudWatchAlarmUnit.NONE

See:

https://docs.aws.amazon.com/emr/latest/APIReference/API_CloudWatchAlarmDefinition.html

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_stepfunctions_tasks as stepfunctions_tasks
import aws_cdk.core as cdk

cloud_watch_alarm_definition_property = stepfunctions_tasks.EmrCreateCluster.CloudWatchAlarmDefinitionProperty(
    comparison_operator=stepfunctions_tasks.EmrCreateCluster.CloudWatchAlarmComparisonOperator.GREATER_THAN_OR_EQUAL,
    metric_name="metricName",
    period=cdk.Duration.minutes(30),

    # the properties below are optional
    dimensions=[stepfunctions_tasks.EmrCreateCluster.MetricDimensionProperty(
        key="key",
        value="value"
    )],
    evaluation_periods=123,
    namespace="namespace",
    statistic=stepfunctions_tasks.EmrCreateCluster.CloudWatchAlarmStatistic.SAMPLE_COUNT,
    threshold=123,
    unit=stepfunctions_tasks.EmrCreateCluster.CloudWatchAlarmUnit.NONE
)

Attributes

comparison_operator

Determines how the metric specified by MetricName is compared to the value specified by Threshold.

dimensions

A CloudWatch metric dimension.

Default:

  • No dimensions

evaluation_periods

The number of periods, in five-minute increments, during which the alarm condition must exist before the alarm triggers automatic scaling activity.

Default:

1

metric_name

The name of the CloudWatch metric that is watched to determine an alarm condition.

namespace

The namespace for the CloudWatch metric.

Default:

‘AWS/ElasticMapReduce’

period

The period, in seconds, over which the statistic is applied.

EMR CloudWatch metrics are emitted every five minutes (300 seconds), so if an EMR CloudWatch metric is specified, specify 300.

statistic

The statistic to apply to the metric associated with the alarm.

Default:

CloudWatchAlarmStatistic.AVERAGE

threshold

The value against which the specified statistic is compared.

Default:

  • None

unit

The unit of measure associated with the CloudWatch metric being watched.

The value specified for Unit must correspond to the units specified in the CloudWatch metric.

Default:

CloudWatchAlarmUnit.NONE

CloudWatchAlarmStatistic

class EmrCreateCluster.CloudWatchAlarmStatistic(value)

Bases: Enum

CloudWatch Alarm Statistics.

Attributes

AVERAGE

AVERAGE.

MAXIMUM

MAXIMUM.

MINIMUM

MINIMUM.

SAMPLE_COUNT

SAMPLE_COUNT.

SUM

SUM.

CloudWatchAlarmUnit

class EmrCreateCluster.CloudWatchAlarmUnit(value)

Bases: Enum

CloudWatch Alarm Units.

Attributes

BITS

BITS.

BITS_PER_SECOND

BITS_PER_SECOND.

BYTES

BYTES.

BYTES_PER_SECOND

BYTES_PER_SECOND.

COUNT

COUNT.

COUNT_PER_SECOND

COUNT_PER_SECOND.

GIGA_BITS

GIGA_BITS.

GIGA_BITS_PER_SECOND

GIGA_BITS_PER_SECOND.

GIGA_BYTES

GIGA_BYTES.

GIGA_BYTES_PER_SECOND

GIGA_BYTES_PER_SECOND.

KILO_BITS

KILO_BITS.

KILO_BITS_PER_SECOND

KILO_BITS_PER_SECOND.

KILO_BYTES

KILO_BYTES.

KILO_BYTES_PER_SECOND

KILO_BYTES_PER_SECOND.

MEGA_BITS

MEGA_BITS.

MEGA_BITS_PER_SECOND

MEGA_BITS_PER_SECOND.

MEGA_BYTES

MEGA_BYTES.

MEGA_BYTES_PER_SECOND

MEGA_BYTES_PER_SECOND.

MICRO_SECONDS

MICRO_SECONDS.

MILLI_SECONDS

MILLI_SECONDS.

NONE

NONE.

PERCENT

PERCENT.

SECONDS

SECONDS.

TERA_BITS

TERA_BITS.

TERA_BITS_PER_SECOND

TERA_BITS_PER_SECOND.

TERA_BYTES

TERA_BYTES.

TERA_BYTES_PER_SECOND

TERA_BYTES_PER_SECOND.

ConfigurationProperty

class EmrCreateCluster.ConfigurationProperty(*, classification=None, configurations=None, properties=None)

Bases: object

An optional configuration specification to be used when provisioning cluster instances, which can include configurations for applications and software bundled with Amazon EMR.

See the RunJobFlow API for complete documentation on input parameters

Parameters:

  • classification (Optional[str]) – The classification within a configuration. Default: No classification

  • configurations (Optional[Sequence[Union[ConfigurationProperty, Dict[str, Any]]]]) – A list of additional configurations to apply within a configuration object. Default: No configurations

  • properties (Optional[Mapping[str, str]]) – A set of properties specified within a configuration classification. Default: No properties

See:

https://docs.aws.amazon.com/emr/latest/APIReference/API_Configuration.html

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_stepfunctions_tasks as stepfunctions_tasks

# configuration_property_: stepfunctions_tasks.EmrCreateCluster.ConfigurationProperty

configuration_property = stepfunctions_tasks.EmrCreateCluster.ConfigurationProperty(
    classification="classification",
    configurations=[stepfunctions_tasks.EmrCreateCluster.ConfigurationProperty(
        classification="classification",
        configurations=[configuration_property_],
        properties={
            "properties_key": "properties"
        }
    )],
    properties={
        "properties_key": "properties"
    }
)

Attributes

classification

The classification within a configuration.

Default:

No classification

configurations

A list of additional configurations to apply within a configuration object.

Default:

No configurations

properties

A set of properties specified within a configuration classification.

Default:

No properties

EbsBlockDeviceConfigProperty

class EmrCreateCluster.EbsBlockDeviceConfigProperty(*, volume_specification, volumes_per_instance=None)

Bases: object

Configuration of requested EBS block device associated with the instance group with count of volumes that will be associated to every instance.

Parameters:

  • volume_specification (Union[VolumeSpecificationProperty, Dict[str, Any]]) – EBS volume specifications such as volume type, IOPS, and size (GiB) that will be requested for the EBS volume attached to an EC2 instance in the cluster.

  • volumes_per_instance (Union[int, float, None]) – Number of EBS volumes with a specific volume configuration that will be associated with every instance in the instance group. Default: EMR selected default

See:

https://docs.aws.amazon.com/emr/latest/APIReference/API_EbsBlockDeviceConfig.html

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_stepfunctions_tasks as stepfunctions_tasks
import aws_cdk.core as cdk

# size: cdk.Size

ebs_block_device_config_property = stepfunctions_tasks.EmrCreateCluster.EbsBlockDeviceConfigProperty(
    volume_specification=stepfunctions_tasks.EmrCreateCluster.VolumeSpecificationProperty(
        volume_size=size,
        volume_type=stepfunctions_tasks.EmrCreateCluster.EbsBlockDeviceVolumeType.GP2,

        # the properties below are optional
        iops=123
    ),

    # the properties below are optional
    volumes_per_instance=123
)

Attributes

volume_specification

EBS volume specifications such as volume type, IOPS, and size (GiB) that will be requested for the EBS volume attached to an EC2 instance in the cluster.

volumes_per_instance

Number of EBS volumes with a specific volume configuration that will be associated with every instance in the instance group.

Default:

EMR selected default

EbsBlockDeviceVolumeType

class EmrCreateCluster.EbsBlockDeviceVolumeType(value)

Bases: Enum

EBS Volume Types.

Attributes

GP2

gp2 Volume Type.

IO1

io1 Volume Type.

STANDARD

Standard Volume Type.

EbsConfigurationProperty

class EmrCreateCluster.EbsConfigurationProperty(*, ebs_block_device_configs=None, ebs_optimized=None)

Bases: object

The Amazon EBS configuration of a cluster instance.

Parameters:

  • ebs_block_device_configs (Optional[Sequence[Union[EbsBlockDeviceConfigProperty, Dict[str, Any]]]]) – An array of Amazon EBS volume specifications attached to a cluster instance. Default: - None

  • ebs_optimized (Optional[bool]) – Indicates whether an Amazon EBS volume is EBS-optimized. Default: - EMR selected default

See:

https://docs.aws.amazon.com/emr/latest/APIReference/API_EbsConfiguration.html

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_stepfunctions_tasks as stepfunctions_tasks
import aws_cdk.core as cdk

# size: cdk.Size

ebs_configuration_property = stepfunctions_tasks.EmrCreateCluster.EbsConfigurationProperty(
    ebs_block_device_configs=[stepfunctions_tasks.EmrCreateCluster.EbsBlockDeviceConfigProperty(
        volume_specification=stepfunctions_tasks.EmrCreateCluster.VolumeSpecificationProperty(
            volume_size=size,
            volume_type=stepfunctions_tasks.EmrCreateCluster.EbsBlockDeviceVolumeType.GP2,

            # the properties below are optional
            iops=123
        ),

        # the properties below are optional
        volumes_per_instance=123
    )],
    ebs_optimized=False
)

Attributes

ebs_block_device_configs

An array of Amazon EBS volume specifications attached to a cluster instance.

Default:

  • None

ebs_optimized

Indicates whether an Amazon EBS volume is EBS-optimized.

Default:

  • EMR selected default

EmrClusterScaleDownBehavior

class EmrCreateCluster.EmrClusterScaleDownBehavior(value)

Bases: Enum

The Cluster ScaleDownBehavior specifies the way that individual Amazon EC2 instances terminate when an automatic scale-in activity occurs or an instance group is resized.

See:

https://docs.aws.amazon.com/emr/latest/APIReference/API_RunJobFlow.html#EMR-RunJobFlow-request-ScaleDownBehavior

Attributes

TERMINATE_AT_INSTANCE_HOUR

Indicates that Amazon EMR terminates nodes at the instance-hour boundary, regardless of when the request to terminate the instance was submitted.

This option is only available with Amazon EMR 5.1.0 and later and is the default for clusters created using that version

TERMINATE_AT_TASK_COMPLETION

Indicates that Amazon EMR adds nodes to a deny list and drains tasks from nodes before terminating the Amazon EC2 instances, regardless of the instance-hour boundary.

InstanceFleetConfigProperty

class EmrCreateCluster.InstanceFleetConfigProperty(*, instance_fleet_type, instance_type_configs=None, launch_specifications=None, name=None, target_on_demand_capacity=None, target_spot_capacity=None)

Bases: object

The configuration that defines an instance fleet.

Parameters:

  • instance_fleet_type (InstanceRoleType) – The node type that the instance fleet hosts. Valid values are MASTER,CORE,and TASK.

  • instance_type_configs (Optional[Sequence[Union[InstanceTypeConfigProperty, Dict[str, Any]]]]) – The instance type configurations that define the EC2 instances in the instance fleet. Default: No instanceTpeConfigs

  • launch_specifications (Union[InstanceFleetProvisioningSpecificationsProperty, Dict[str, Any], None]) – The launch specification for the instance fleet. Default: No launchSpecifications

  • name (Optional[str]) – The friendly name of the instance fleet. Default: No name

  • target_on_demand_capacity (Union[int, float, None]) – The target capacity of On-Demand units for the instance fleet, which determines how many On-Demand instances to provision. Default: No targetOnDemandCapacity

  • target_spot_capacity (Union[int, float, None]) – The target capacity of Spot units for the instance fleet, which determines how many Spot instances to provision. Default: No targetSpotCapacity

See:

https://docs.aws.amazon.com/emr/latest/APIReference/API_InstanceFleetConfig.html

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_stepfunctions_tasks as stepfunctions_tasks
import aws_cdk.core as cdk

# configuration_property_: stepfunctions_tasks.EmrCreateCluster.ConfigurationProperty
# size: cdk.Size

instance_fleet_config_property = stepfunctions_tasks.EmrCreateCluster.InstanceFleetConfigProperty(
    instance_fleet_type=stepfunctions_tasks.EmrCreateCluster.InstanceRoleType.MASTER,

    # the properties below are optional
    instance_type_configs=[stepfunctions_tasks.EmrCreateCluster.InstanceTypeConfigProperty(
        instance_type="instanceType",

        # the properties below are optional
        bid_price="bidPrice",
        bid_price_as_percentage_of_on_demand_price=123,
        configurations=[stepfunctions_tasks.EmrCreateCluster.ConfigurationProperty(
            classification="classification",
            configurations=[configuration_property_],
            properties={
                "properties_key": "properties"
            }
        )],
        ebs_configuration=stepfunctions_tasks.EmrCreateCluster.EbsConfigurationProperty(
            ebs_block_device_configs=[stepfunctions_tasks.EmrCreateCluster.EbsBlockDeviceConfigProperty(
                volume_specification=stepfunctions_tasks.EmrCreateCluster.VolumeSpecificationProperty(
                    volume_size=size,
                    volume_type=stepfunctions_tasks.EmrCreateCluster.EbsBlockDeviceVolumeType.GP2,

                    # the properties below are optional
                    iops=123
                ),

                # the properties below are optional
                volumes_per_instance=123
            )],
            ebs_optimized=False
        ),
        weighted_capacity=123
    )],
    launch_specifications=stepfunctions_tasks.EmrCreateCluster.InstanceFleetProvisioningSpecificationsProperty(
        spot_specification=stepfunctions_tasks.EmrCreateCluster.SpotProvisioningSpecificationProperty(
            timeout_action=stepfunctions_tasks.EmrCreateCluster.SpotTimeoutAction.SWITCH_TO_ON_DEMAND,
            timeout_duration_minutes=123,

            # the properties below are optional
            allocation_strategy=stepfunctions_tasks.EmrCreateCluster.SpotAllocationStrategy.CAPACITY_OPTIMIZED,
            block_duration_minutes=123
        )
    ),
    name="name",
    target_on_demand_capacity=123,
    target_spot_capacity=123
)

Attributes

instance_fleet_type

The node type that the instance fleet hosts.

Valid values are MASTER,CORE,and TASK.

instance_type_configs

The instance type configurations that define the EC2 instances in the instance fleet.

Default:

No instanceTpeConfigs

launch_specifications

The launch specification for the instance fleet.

Default:

No launchSpecifications

name

The friendly name of the instance fleet.

Default:

No name

target_on_demand_capacity

The target capacity of On-Demand units for the instance fleet, which determines how many On-Demand instances to provision.

Default:

No targetOnDemandCapacity

target_spot_capacity

The target capacity of Spot units for the instance fleet, which determines how many Spot instances to provision.

Default:

No targetSpotCapacity

InstanceFleetProvisioningSpecificationsProperty

class EmrCreateCluster.InstanceFleetProvisioningSpecificationsProperty(*, spot_specification)

Bases: object

The launch specification for Spot instances in the fleet, which determines the defined duration and provisioning timeout behavior.

Parameters:

spot_specification (Union[SpotProvisioningSpecificationProperty, Dict[str, Any]]) – The launch specification for Spot instances in the fleet, which determines the defined duration and provisioning timeout behavior.

See:

https://docs.aws.amazon.com/emr/latest/APIReference/API_InstanceFleetProvisioningSpecifications.html

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_stepfunctions_tasks as stepfunctions_tasks

instance_fleet_provisioning_specifications_property = stepfunctions_tasks.EmrCreateCluster.InstanceFleetProvisioningSpecificationsProperty(
    spot_specification=stepfunctions_tasks.EmrCreateCluster.SpotProvisioningSpecificationProperty(
        timeout_action=stepfunctions_tasks.EmrCreateCluster.SpotTimeoutAction.SWITCH_TO_ON_DEMAND,
        timeout_duration_minutes=123,

        # the properties below are optional
        allocation_strategy=stepfunctions_tasks.EmrCreateCluster.SpotAllocationStrategy.CAPACITY_OPTIMIZED,
        block_duration_minutes=123
    )
)

Attributes

spot_specification

The launch specification for Spot instances in the fleet, which determines the defined duration and provisioning timeout behavior.

InstanceGroupConfigProperty

class EmrCreateCluster.InstanceGroupConfigProperty(*, instance_count, instance_role, instance_type, auto_scaling_policy=None, bid_price=None, configurations=None, ebs_configuration=None, market=None, name=None)

Bases: object

Configuration defining a new instance group.

Parameters:

  • instance_count (Union[int, float]) – Target number of instances for the instance group.

  • instance_role (InstanceRoleType) – The role of the instance group in the cluster.

  • instance_type (str) – The EC2 instance type for all instances in the instance group.

  • auto_scaling_policy (Union[AutoScalingPolicyProperty, Dict[str, Any], None]) – An automatic scaling policy for a core instance group or task instance group in an Amazon EMR cluster. Default: - None

  • bid_price (Optional[str]) – The bid price for each EC2 Spot instance type as defined by InstanceType. Expressed in USD. Default: - None

  • configurations (Optional[Sequence[Union[ConfigurationProperty, Dict[str, Any]]]]) – The list of configurations supplied for an EMR cluster instance group. Default: - None

  • ebs_configuration (Union[EbsConfigurationProperty, Dict[str, Any], None]) – EBS configurations that will be attached to each EC2 instance in the instance group. Default: - None

  • market (Optional[InstanceMarket]) – Market type of the EC2 instances used to create a cluster node. Default: - EMR selected default

  • name (Optional[str]) – Friendly name given to the instance group. Default: - None

See:

https://docs.aws.amazon.com/emr/latest/APIReference/API_InstanceGroupConfig.html

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_stepfunctions_tasks as stepfunctions_tasks
import aws_cdk.core as cdk

# configuration_property_: stepfunctions_tasks.EmrCreateCluster.ConfigurationProperty
# size: cdk.Size

instance_group_config_property = stepfunctions_tasks.EmrCreateCluster.InstanceGroupConfigProperty(
    instance_count=123,
    instance_role=stepfunctions_tasks.EmrCreateCluster.InstanceRoleType.MASTER,
    instance_type="instanceType",

    # the properties below are optional
    auto_scaling_policy=stepfunctions_tasks.EmrCreateCluster.AutoScalingPolicyProperty(
        constraints=stepfunctions_tasks.EmrCreateCluster.ScalingConstraintsProperty(
            max_capacity=123,
            min_capacity=123
        ),
        rules=[stepfunctions_tasks.EmrCreateCluster.ScalingRuleProperty(
            action=stepfunctions_tasks.EmrCreateCluster.ScalingActionProperty(
                simple_scaling_policy_configuration=stepfunctions_tasks.EmrCreateCluster.SimpleScalingPolicyConfigurationProperty(
                    scaling_adjustment=123,

                    # the properties below are optional
                    adjustment_type=stepfunctions_tasks.EmrCreateCluster.ScalingAdjustmentType.CHANGE_IN_CAPACITY,
                    cool_down=123
                ),

                # the properties below are optional
                market=stepfunctions_tasks.EmrCreateCluster.InstanceMarket.ON_DEMAND
            ),
            name="name",
            trigger=stepfunctions_tasks.EmrCreateCluster.ScalingTriggerProperty(
                cloud_watch_alarm_definition=stepfunctions_tasks.EmrCreateCluster.CloudWatchAlarmDefinitionProperty(
                    comparison_operator=stepfunctions_tasks.EmrCreateCluster.CloudWatchAlarmComparisonOperator.GREATER_THAN_OR_EQUAL,
                    metric_name="metricName",
                    period=cdk.Duration.minutes(30),

                    # the properties below are optional
                    dimensions=[stepfunctions_tasks.EmrCreateCluster.MetricDimensionProperty(
                        key="key",
                        value="value"
                    )],
                    evaluation_periods=123,
                    namespace="namespace",
                    statistic=stepfunctions_tasks.EmrCreateCluster.CloudWatchAlarmStatistic.SAMPLE_COUNT,
                    threshold=123,
                    unit=stepfunctions_tasks.EmrCreateCluster.CloudWatchAlarmUnit.NONE
                )
            ),

            # the properties below are optional
            description="description"
        )]
    ),
    bid_price="bidPrice",
    configurations=[stepfunctions_tasks.EmrCreateCluster.ConfigurationProperty(
        classification="classification",
        configurations=[configuration_property_],
        properties={
            "properties_key": "properties"
        }
    )],
    ebs_configuration=stepfunctions_tasks.EmrCreateCluster.EbsConfigurationProperty(
        ebs_block_device_configs=[stepfunctions_tasks.EmrCreateCluster.EbsBlockDeviceConfigProperty(
            volume_specification=stepfunctions_tasks.EmrCreateCluster.VolumeSpecificationProperty(
                volume_size=size,
                volume_type=stepfunctions_tasks.EmrCreateCluster.EbsBlockDeviceVolumeType.GP2,

                # the properties below are optional
                iops=123
            ),

            # the properties below are optional
            volumes_per_instance=123
        )],
        ebs_optimized=False
    ),
    market=stepfunctions_tasks.EmrCreateCluster.InstanceMarket.ON_DEMAND,
    name="name"
)

Attributes

auto_scaling_policy

An automatic scaling policy for a core instance group or task instance group in an Amazon EMR cluster.

Default:

  • None

bid_price

The bid price for each EC2 Spot instance type as defined by InstanceType.

Expressed in USD.

Default:

  • None

configurations

The list of configurations supplied for an EMR cluster instance group.

Default:

  • None

ebs_configuration

EBS configurations that will be attached to each EC2 instance in the instance group.

Default:

  • None

instance_count

Target number of instances for the instance group.

instance_role

The role of the instance group in the cluster.

instance_type

The EC2 instance type for all instances in the instance group.

market

Market type of the EC2 instances used to create a cluster node.

Default:

  • EMR selected default

name

Friendly name given to the instance group.

Default:

  • None

InstanceMarket

class EmrCreateCluster.InstanceMarket(value)

Bases: Enum

EC2 Instance Market.

Attributes

ON_DEMAND

On Demand Instance.

SPOT

Spot Instance.

InstanceRoleType

class EmrCreateCluster.InstanceRoleType(value)

Bases: Enum

Instance Role Types.

Attributes

CORE

Core Node.

MASTER

Master Node.

TASK

Task Node.

InstanceTypeConfigProperty

class EmrCreateCluster.InstanceTypeConfigProperty(*, instance_type, bid_price=None, bid_price_as_percentage_of_on_demand_price=None, configurations=None, ebs_configuration=None, weighted_capacity=None)

Bases: object

An instance type configuration for each instance type in an instance fleet, which determines the EC2 instances Amazon EMR attempts to provision to fulfill On-Demand and Spot target capacities.

Parameters:

  • instance_type (str) – An EC2 instance type.

  • bid_price (Optional[str]) – The bid price for each EC2 Spot instance type as defined by InstanceType. Expressed in USD. Default: - None

  • bid_price_as_percentage_of_on_demand_price (Union[int, float, None]) – The bid price, as a percentage of On-Demand price. Default: - None

  • configurations (Optional[Sequence[Union[ConfigurationProperty, Dict[str, Any]]]]) – A configuration classification that applies when provisioning cluster instances, which can include configurations for applications and software that run on the cluster. Default: - None

  • ebs_configuration (Union[EbsConfigurationProperty, Dict[str, Any], None]) – The configuration of Amazon Elastic Block Storage (EBS) attached to each instance as defined by InstanceType. Default: - None

  • weighted_capacity (Union[int, float, None]) – The number of units that a provisioned instance of this type provides toward fulfilling the target capacities defined in the InstanceFleetConfig. Default: - None

See:

https://docs.aws.amazon.com/emr/latest/APIReference/API_InstanceTypeConfig.html

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_stepfunctions_tasks as stepfunctions_tasks
import aws_cdk.core as cdk

# configuration_property_: stepfunctions_tasks.EmrCreateCluster.ConfigurationProperty
# size: cdk.Size

instance_type_config_property = stepfunctions_tasks.EmrCreateCluster.InstanceTypeConfigProperty(
    instance_type="instanceType",

    # the properties below are optional
    bid_price="bidPrice",
    bid_price_as_percentage_of_on_demand_price=123,
    configurations=[stepfunctions_tasks.EmrCreateCluster.ConfigurationProperty(
        classification="classification",
        configurations=[configuration_property_],
        properties={
            "properties_key": "properties"
        }
    )],
    ebs_configuration=stepfunctions_tasks.EmrCreateCluster.EbsConfigurationProperty(
        ebs_block_device_configs=[stepfunctions_tasks.EmrCreateCluster.EbsBlockDeviceConfigProperty(
            volume_specification=stepfunctions_tasks.EmrCreateCluster.VolumeSpecificationProperty(
                volume_size=size,
                volume_type=stepfunctions_tasks.EmrCreateCluster.EbsBlockDeviceVolumeType.GP2,

                # the properties below are optional
                iops=123
            ),

            # the properties below are optional
            volumes_per_instance=123
        )],
        ebs_optimized=False
    ),
    weighted_capacity=123
)

Attributes

bid_price

The bid price for each EC2 Spot instance type as defined by InstanceType.

Expressed in USD.

Default:

  • None

bid_price_as_percentage_of_on_demand_price

The bid price, as a percentage of On-Demand price.

Default:

  • None

configurations

A configuration classification that applies when provisioning cluster instances, which can include configurations for applications and software that run on the cluster.

Default:

  • None

ebs_configuration

The configuration of Amazon Elastic Block Storage (EBS) attached to each instance as defined by InstanceType.

Default:

  • None

instance_type

An EC2 instance type.

weighted_capacity

The number of units that a provisioned instance of this type provides toward fulfilling the target capacities defined in the InstanceFleetConfig.

Default:

  • None

InstancesConfigProperty

class EmrCreateCluster.InstancesConfigProperty(*, additional_master_security_groups=None, additional_slave_security_groups=None, ec2_key_name=None, ec2_subnet_id=None, ec2_subnet_ids=None, emr_managed_master_security_group=None, emr_managed_slave_security_group=None, hadoop_version=None, instance_count=None, instance_fleets=None, instance_groups=None, master_instance_type=None, placement=None, service_access_security_group=None, slave_instance_type=None, termination_protected=None)

Bases: object

A specification of the number and type of Amazon EC2 instances.

See the RunJobFlow API for complete documentation on input parameters

Parameters:

  • additional_master_security_groups (Optional[Sequence[str]]) – A list of additional Amazon EC2 security group IDs for the master node. Default: - None

  • additional_slave_security_groups (Optional[Sequence[str]]) – A list of additional Amazon EC2 security group IDs for the core and task nodes. Default: - None

  • ec2_key_name (Optional[str]) – The name of the EC2 key pair that can be used to ssh to the master node as the user called “hadoop.”. Default: - None

  • ec2_subnet_id (Optional[str]) – Applies to clusters that use the uniform instance group configuration. To launch the cluster in Amazon Virtual Private Cloud (Amazon VPC), set this parameter to the identifier of the Amazon VPC subnet where you want the cluster to launch. Default: EMR selected default

  • ec2_subnet_ids (Optional[Sequence[str]]) – Applies to clusters that use the instance fleet configuration. When multiple EC2 subnet IDs are specified, Amazon EMR evaluates them and launches instances in the optimal subnet. Default: EMR selected default

  • emr_managed_master_security_group (Optional[str]) – The identifier of the Amazon EC2 security group for the master node. Default: - None

  • emr_managed_slave_security_group (Optional[str]) – The identifier of the Amazon EC2 security group for the core and task nodes. Default: - None

  • hadoop_version (Optional[str]) – Applies only to Amazon EMR release versions earlier than 4.0. The Hadoop version for the cluster. Default: - 0.18 if the AmiVersion parameter is not set. If AmiVersion is set, the version of Hadoop for that AMI version is used.

  • instance_count (Union[int, float, None]) – The number of EC2 instances in the cluster. Default: 0

  • instance_fleets (Optional[Sequence[Union[InstanceFleetConfigProperty, Dict[str, Any]]]]) – Describes the EC2 instances and instance configurations for clusters that use the instance fleet configuration. The instance fleet configuration is available only in Amazon EMR versions 4.8.0 and later, excluding 5.0.x versions. Default: - None

  • instance_groups (Optional[Sequence[Union[InstanceGroupConfigProperty, Dict[str, Any]]]]) – Configuration for the instance groups in a cluster. Default: - None

  • master_instance_type (Optional[str]) – The EC2 instance type of the master node. Default: - None

  • placement (Union[PlacementTypeProperty, Dict[str, Any], None]) – The Availability Zone in which the cluster runs. Default: - EMR selected default

  • service_access_security_group (Optional[str]) – The identifier of the Amazon EC2 security group for the Amazon EMR service to access clusters in VPC private subnets. Default: - None

  • slave_instance_type (Optional[str]) – The EC2 instance type of the core and task nodes. Default: - None

  • termination_protected (Optional[bool]) – Specifies whether to lock the cluster to prevent the Amazon EC2 instances from being terminated by API call, user intervention, or in the event of a job-flow error. Default: false

See:

https://docs.aws.amazon.com/emr/latest/APIReference/API_JobFlowInstancesConfig.html

ExampleMetadata:

infused

Example:

cluster_role = iam.Role(self, "ClusterRole",
    assumed_by=iam.ServicePrincipal("ec2.amazonaws.com")
)

service_role = iam.Role(self, "ServiceRole",
    assumed_by=iam.ServicePrincipal("elasticmapreduce.amazonaws.com")
)

auto_scaling_role = iam.Role(self, "AutoScalingRole",
    assumed_by=iam.ServicePrincipal("elasticmapreduce.amazonaws.com")
)

auto_scaling_role.assume_role_policy.add_statements(
    iam.PolicyStatement(
        effect=iam.Effect.ALLOW,
        principals=[
            iam.ServicePrincipal("application-autoscaling.amazonaws.com")
        ],
        actions=["sts:AssumeRole"
        ]
    ))

tasks.EmrCreateCluster(self, "Create Cluster",
    instances=tasks.EmrCreateCluster.InstancesConfigProperty(),
    cluster_role=cluster_role,
    name=sfn.TaskInput.from_json_path_at("$.ClusterName").value,
    service_role=service_role,
    auto_scaling_role=auto_scaling_role
)

Attributes

additional_master_security_groups

A list of additional Amazon EC2 security group IDs for the master node.

Default:

  • None

additional_slave_security_groups

A list of additional Amazon EC2 security group IDs for the core and task nodes.

Default:

  • None

ec2_key_name

The name of the EC2 key pair that can be used to ssh to the master node as the user called “hadoop.”.

Default:

  • None

ec2_subnet_id

Applies to clusters that use the uniform instance group configuration.

To launch the cluster in Amazon Virtual Private Cloud (Amazon VPC), set this parameter to the identifier of the Amazon VPC subnet where you want the cluster to launch.

Default:

EMR selected default

ec2_subnet_ids

Applies to clusters that use the instance fleet configuration.

When multiple EC2 subnet IDs are specified, Amazon EMR evaluates them and launches instances in the optimal subnet.

Default:

EMR selected default

emr_managed_master_security_group

The identifier of the Amazon EC2 security group for the master node.

Default:

  • None

emr_managed_slave_security_group

The identifier of the Amazon EC2 security group for the core and task nodes.

Default:

  • None

hadoop_version

Applies only to Amazon EMR release versions earlier than 4.0. The Hadoop version for the cluster.

Default:

  • 0.18 if the AmiVersion parameter is not set. If AmiVersion is set, the version of Hadoop for that AMI version is used.

instance_count

The number of EC2 instances in the cluster.

Default:

0

instance_fleets

Describes the EC2 instances and instance configurations for clusters that use the instance fleet configuration.

The instance fleet configuration is available only in Amazon EMR versions 4.8.0 and later, excluding 5.0.x versions.

Default:

  • None

instance_groups

Configuration for the instance groups in a cluster.

Default:

  • None

master_instance_type

The EC2 instance type of the master node.

Default:

  • None

placement

The Availability Zone in which the cluster runs.

Default:

  • EMR selected default

service_access_security_group

The identifier of the Amazon EC2 security group for the Amazon EMR service to access clusters in VPC private subnets.

Default:

  • None

slave_instance_type

The EC2 instance type of the core and task nodes.

Default:

  • None

termination_protected

Specifies whether to lock the cluster to prevent the Amazon EC2 instances from being terminated by API call, user intervention, or in the event of a job-flow error.

Default:

false

KerberosAttributesProperty

class EmrCreateCluster.KerberosAttributesProperty(*, realm, ad_domain_join_password=None, ad_domain_join_user=None, cross_realm_trust_principal_password=None, kdc_admin_password=None)

Bases: object

Attributes for Kerberos configuration when Kerberos authentication is enabled using a security configuration.

See the RunJobFlow API for complete documentation on input parameters

Parameters:

  • realm (str) – The name of the Kerberos realm to which all nodes in a cluster belong. For example, EC2.INTERNAL.

  • ad_domain_join_password (Optional[str]) – The Active Directory password for ADDomainJoinUser. Default: No adDomainJoinPassword

  • ad_domain_join_user (Optional[str]) – Required only when establishing a cross-realm trust with an Active Directory domain. A user with sufficient privileges to join resources to the domain. Default: No adDomainJoinUser

  • cross_realm_trust_principal_password (Optional[str]) – Required only when establishing a cross-realm trust with a KDC in a different realm. The cross-realm principal password, which must be identical across realms. Default: No crossRealmTrustPrincipalPassword

  • kdc_admin_password (Optional[str]) – The password used within the cluster for the kadmin service on the cluster-dedicated KDC, which maintains Kerberos principals, password policies, and keytabs for the cluster. Default: No kdcAdminPassword

See:

https://docs.aws.amazon.com/emr/latest/APIReference/API_KerberosAttributes.html

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_stepfunctions_tasks as stepfunctions_tasks

kerberos_attributes_property = stepfunctions_tasks.EmrCreateCluster.KerberosAttributesProperty(
    realm="realm",

    # the properties below are optional
    ad_domain_join_password="adDomainJoinPassword",
    ad_domain_join_user="adDomainJoinUser",
    cross_realm_trust_principal_password="crossRealmTrustPrincipalPassword",
    kdc_admin_password="kdcAdminPassword"
)

Attributes

ad_domain_join_password

The Active Directory password for ADDomainJoinUser.

Default:

No adDomainJoinPassword

ad_domain_join_user

Required only when establishing a cross-realm trust with an Active Directory domain.

A user with sufficient privileges to join resources to the domain.

Default:

No adDomainJoinUser

cross_realm_trust_principal_password

Required only when establishing a cross-realm trust with a KDC in a different realm.

The cross-realm principal password, which must be identical across realms.

Default:

No crossRealmTrustPrincipalPassword

kdc_admin_password

The password used within the cluster for the kadmin service on the cluster-dedicated KDC, which maintains Kerberos principals, password policies, and keytabs for the cluster.

Default:

No kdcAdminPassword

realm

The name of the Kerberos realm to which all nodes in a cluster belong.

For example, EC2.INTERNAL.

MetricDimensionProperty

class EmrCreateCluster.MetricDimensionProperty(*, key, value)

Bases: object

A CloudWatch dimension, which is specified using a Key (known as a Name in CloudWatch), Value pair.

By default, Amazon EMR uses one dimension whose Key is JobFlowID and Value is a variable representing the cluster ID, which is ${emr.clusterId}. This enables the rule to bootstrap when the cluster ID becomes available

Parameters:

  • key (str) – The dimension name.

  • value (str) – The dimension value.

See:

https://docs.aws.amazon.com/emr/latest/APIReference/API_MetricDimension.html

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_stepfunctions_tasks as stepfunctions_tasks

metric_dimension_property = stepfunctions_tasks.EmrCreateCluster.MetricDimensionProperty(
    key="key",
    value="value"
)

Attributes

key

The dimension name.

value

The dimension value.

PlacementTypeProperty

class EmrCreateCluster.PlacementTypeProperty(*, availability_zone=None, availability_zones=None)

Bases: object

The Amazon EC2 Availability Zone configuration of the cluster (job flow).

Parameters:

  • availability_zone (Optional[str]) – The Amazon EC2 Availability Zone for the cluster. AvailabilityZone is used for uniform instance groups, while AvailabilityZones (plural) is used for instance fleets. Default: - EMR selected default

  • availability_zones (Optional[Sequence[str]]) – When multiple Availability Zones are specified, Amazon EMR evaluates them and launches instances in the optimal Availability Zone. AvailabilityZones is used for instance fleets, while AvailabilityZone (singular) is used for uniform instance groups. Default: - EMR selected default

See:

https://docs.aws.amazon.com/emr/latest/APIReference/API_PlacementType.html

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_stepfunctions_tasks as stepfunctions_tasks

placement_type_property = stepfunctions_tasks.EmrCreateCluster.PlacementTypeProperty(
    availability_zone="availabilityZone",
    availability_zones=["availabilityZones"]
)

Attributes

availability_zone

The Amazon EC2 Availability Zone for the cluster.

AvailabilityZone is used for uniform instance groups, while AvailabilityZones (plural) is used for instance fleets.

Default:

  • EMR selected default

availability_zones

When multiple Availability Zones are specified, Amazon EMR evaluates them and launches instances in the optimal Availability Zone.

AvailabilityZones is used for instance fleets, while AvailabilityZone (singular) is used for uniform instance groups.

Default:

  • EMR selected default

ScalingActionProperty

class EmrCreateCluster.ScalingActionProperty(*, simple_scaling_policy_configuration, market=None)

Bases: object

The type of adjustment the automatic scaling activity makes when triggered, and the periodicity of the adjustment.

And an automatic scaling configuration, which describes how the policy adds or removes instances, the cooldown period, and the number of EC2 instances that will be added each time the CloudWatch metric alarm condition is satisfied.

Parameters:

  • simple_scaling_policy_configuration (Union[SimpleScalingPolicyConfigurationProperty, Dict[str, Any]]) – The type of adjustment the automatic scaling activity makes when triggered, and the periodicity of the adjustment.

  • market (Optional[InstanceMarket]) – Not available for instance groups. Instance groups use the market type specified for the group. Default: - EMR selected default

See:

https://docs.aws.amazon.com/emr/latest/APIReference/API_ScalingAction.html

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_stepfunctions_tasks as stepfunctions_tasks

scaling_action_property = stepfunctions_tasks.EmrCreateCluster.ScalingActionProperty(
    simple_scaling_policy_configuration=stepfunctions_tasks.EmrCreateCluster.SimpleScalingPolicyConfigurationProperty(
        scaling_adjustment=123,

        # the properties below are optional
        adjustment_type=stepfunctions_tasks.EmrCreateCluster.ScalingAdjustmentType.CHANGE_IN_CAPACITY,
        cool_down=123
    ),

    # the properties below are optional
    market=stepfunctions_tasks.EmrCreateCluster.InstanceMarket.ON_DEMAND
)

Attributes

market

Not available for instance groups.

Instance groups use the market type specified for the group.

Default:

  • EMR selected default

simple_scaling_policy_configuration

The type of adjustment the automatic scaling activity makes when triggered, and the periodicity of the adjustment.

ScalingAdjustmentType

class EmrCreateCluster.ScalingAdjustmentType(value)

Bases: Enum

AutoScaling Adjustment Type.

Attributes

CHANGE_IN_CAPACITY

CHANGE_IN_CAPACITY.

EXACT_CAPACITY

EXACT_CAPACITY.

PERCENT_CHANGE_IN_CAPACITY

PERCENT_CHANGE_IN_CAPACITY.

ScalingConstraintsProperty

class EmrCreateCluster.ScalingConstraintsProperty(*, max_capacity, min_capacity)

Bases: object

The upper and lower EC2 instance limits for an automatic scaling policy.

Automatic scaling activities triggered by automatic scaling rules will not cause an instance group to grow above or below these limits.

Parameters:

  • max_capacity (Union[int, float]) – The upper boundary of EC2 instances in an instance group beyond which scaling activities are not allowed to grow. Scale-out activities will not add instances beyond this boundary.

  • min_capacity (Union[int, float]) – The lower boundary of EC2 instances in an instance group below which scaling activities are not allowed to shrink. Scale-in activities will not terminate instances below this boundary.

See:

https://docs.aws.amazon.com/emr/latest/APIReference/API_ScalingConstraints.html

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_stepfunctions_tasks as stepfunctions_tasks

scaling_constraints_property = stepfunctions_tasks.EmrCreateCluster.ScalingConstraintsProperty(
    max_capacity=123,
    min_capacity=123
)

Attributes

max_capacity

The upper boundary of EC2 instances in an instance group beyond which scaling activities are not allowed to grow.

Scale-out activities will not add instances beyond this boundary.

min_capacity

The lower boundary of EC2 instances in an instance group below which scaling activities are not allowed to shrink.

Scale-in activities will not terminate instances below this boundary.

ScalingRuleProperty

class EmrCreateCluster.ScalingRuleProperty(*, action, name, trigger, description=None)

Bases: object

A scale-in or scale-out rule that defines scaling activity, including the CloudWatch metric alarm that triggers activity, how EC2 instances are added or removed, and the periodicity of adjustments.

Parameters:

  • action (Union[ScalingActionProperty, Dict[str, Any]]) – The conditions that trigger an automatic scaling activity.

  • name (str) – The name used to identify an automatic scaling rule. Rule names must be unique within a scaling policy.

  • trigger (Union[ScalingTriggerProperty, Dict[str, Any]]) – The CloudWatch alarm definition that determines when automatic scaling activity is triggered.

  • description (Optional[str]) – A friendly, more verbose description of the automatic scaling rule. Default: - None

See:

https://docs.aws.amazon.com/emr/latest/APIReference/API_ScalingRule.html

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_stepfunctions_tasks as stepfunctions_tasks
import aws_cdk.core as cdk

scaling_rule_property = stepfunctions_tasks.EmrCreateCluster.ScalingRuleProperty(
    action=stepfunctions_tasks.EmrCreateCluster.ScalingActionProperty(
        simple_scaling_policy_configuration=stepfunctions_tasks.EmrCreateCluster.SimpleScalingPolicyConfigurationProperty(
            scaling_adjustment=123,

            # the properties below are optional
            adjustment_type=stepfunctions_tasks.EmrCreateCluster.ScalingAdjustmentType.CHANGE_IN_CAPACITY,
            cool_down=123
        ),

        # the properties below are optional
        market=stepfunctions_tasks.EmrCreateCluster.InstanceMarket.ON_DEMAND
    ),
    name="name",
    trigger=stepfunctions_tasks.EmrCreateCluster.ScalingTriggerProperty(
        cloud_watch_alarm_definition=stepfunctions_tasks.EmrCreateCluster.CloudWatchAlarmDefinitionProperty(
            comparison_operator=stepfunctions_tasks.EmrCreateCluster.CloudWatchAlarmComparisonOperator.GREATER_THAN_OR_EQUAL,
            metric_name="metricName",
            period=cdk.Duration.minutes(30),

            # the properties below are optional
            dimensions=[stepfunctions_tasks.EmrCreateCluster.MetricDimensionProperty(
                key="key",
                value="value"
            )],
            evaluation_periods=123,
            namespace="namespace",
            statistic=stepfunctions_tasks.EmrCreateCluster.CloudWatchAlarmStatistic.SAMPLE_COUNT,
            threshold=123,
            unit=stepfunctions_tasks.EmrCreateCluster.CloudWatchAlarmUnit.NONE
        )
    ),

    # the properties below are optional
    description="description"
)

Attributes

action

The conditions that trigger an automatic scaling activity.

description

A friendly, more verbose description of the automatic scaling rule.

Default:

  • None

name

The name used to identify an automatic scaling rule.

Rule names must be unique within a scaling policy.

trigger

The CloudWatch alarm definition that determines when automatic scaling activity is triggered.

ScalingTriggerProperty

class EmrCreateCluster.ScalingTriggerProperty(*, cloud_watch_alarm_definition)

Bases: object

The conditions that trigger an automatic scaling activity and the definition of a CloudWatch metric alarm.

When the defined alarm conditions are met along with other trigger parameters, scaling activity begins.

Parameters:

cloud_watch_alarm_definition (Union[CloudWatchAlarmDefinitionProperty, Dict[str, Any]]) – The definition of a CloudWatch metric alarm. When the defined alarm conditions are met along with other trigger parameters, scaling activity begins.

See:

https://docs.aws.amazon.com/emr/latest/APIReference/API_ScalingTrigger.html

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_stepfunctions_tasks as stepfunctions_tasks
import aws_cdk.core as cdk

scaling_trigger_property = stepfunctions_tasks.EmrCreateCluster.ScalingTriggerProperty(
    cloud_watch_alarm_definition=stepfunctions_tasks.EmrCreateCluster.CloudWatchAlarmDefinitionProperty(
        comparison_operator=stepfunctions_tasks.EmrCreateCluster.CloudWatchAlarmComparisonOperator.GREATER_THAN_OR_EQUAL,
        metric_name="metricName",
        period=cdk.Duration.minutes(30),

        # the properties below are optional
        dimensions=[stepfunctions_tasks.EmrCreateCluster.MetricDimensionProperty(
            key="key",
            value="value"
        )],
        evaluation_periods=123,
        namespace="namespace",
        statistic=stepfunctions_tasks.EmrCreateCluster.CloudWatchAlarmStatistic.SAMPLE_COUNT,
        threshold=123,
        unit=stepfunctions_tasks.EmrCreateCluster.CloudWatchAlarmUnit.NONE
    )
)

Attributes

cloud_watch_alarm_definition

The definition of a CloudWatch metric alarm.

When the defined alarm conditions are met along with other trigger parameters, scaling activity begins.

ScriptBootstrapActionConfigProperty

class EmrCreateCluster.ScriptBootstrapActionConfigProperty(*, path, args=None)

Bases: object

Configuration of the script to run during a bootstrap action.

Parameters:

  • path (str) – Location of the script to run during a bootstrap action. Can be either a location in Amazon S3 or on a local file system.

  • args (Optional[Sequence[str]]) – A list of command line arguments to pass to the bootstrap action script. Default: No args

See:

https://docs.aws.amazon.com/emr/latest/APIReference/API_ScriptBootstrapActionConfig.html

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_stepfunctions_tasks as stepfunctions_tasks

script_bootstrap_action_config_property = stepfunctions_tasks.EmrCreateCluster.ScriptBootstrapActionConfigProperty(
    path="path",

    # the properties below are optional
    args=["args"]
)

Attributes

args

A list of command line arguments to pass to the bootstrap action script.

Default:

No args

path

Location of the script to run during a bootstrap action.

Can be either a location in Amazon S3 or on a local file system.

SimpleScalingPolicyConfigurationProperty

class EmrCreateCluster.SimpleScalingPolicyConfigurationProperty(*, scaling_adjustment, adjustment_type=None, cool_down=None)

Bases: object

An automatic scaling configuration, which describes how the policy adds or removes instances, the cooldown period, and the number of EC2 instances that will be added each time the CloudWatch metric alarm condition is satisfied.

Parameters:

  • scaling_adjustment (Union[int, float]) – The amount by which to scale in or scale out, based on the specified AdjustmentType. A positive value adds to the instance group’s EC2 instance count while a negative number removes instances. If AdjustmentType is set to EXACT_CAPACITY, the number should only be a positive integer.

  • adjustment_type (Optional[ScalingAdjustmentType]) – The way in which EC2 instances are added (if ScalingAdjustment is a positive number) or terminated (if ScalingAdjustment is a negative number) each time the scaling activity is triggered. Default: - None

  • cool_down (Union[int, float, None]) – The amount of time, in seconds, after a scaling activity completes before any further trigger-related scaling activities can start. Default: 0

See:

https://docs.aws.amazon.com/emr/latest/APIReference/API_SimpleScalingPolicyConfiguration.html

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_stepfunctions_tasks as stepfunctions_tasks

simple_scaling_policy_configuration_property = stepfunctions_tasks.EmrCreateCluster.SimpleScalingPolicyConfigurationProperty(
    scaling_adjustment=123,

    # the properties below are optional
    adjustment_type=stepfunctions_tasks.EmrCreateCluster.ScalingAdjustmentType.CHANGE_IN_CAPACITY,
    cool_down=123
)

Attributes

adjustment_type

The way in which EC2 instances are added (if ScalingAdjustment is a positive number) or terminated (if ScalingAdjustment is a negative number) each time the scaling activity is triggered.

Default:

  • None

cool_down

The amount of time, in seconds, after a scaling activity completes before any further trigger-related scaling activities can start.

Default:

0

scaling_adjustment

The amount by which to scale in or scale out, based on the specified AdjustmentType.

A positive value adds to the instance group’s EC2 instance count while a negative number removes instances. If AdjustmentType is set to EXACT_CAPACITY, the number should only be a positive integer.

SpotAllocationStrategy

class EmrCreateCluster.SpotAllocationStrategy(value)

Bases: Enum

Spot Allocation Strategies.

Specifies the strategy to use in launching Spot Instance fleets. For example, “capacity-optimized” launches instances from Spot Instance pools with optimal capacity for the number of instances that are launching.

See:

https://docs.aws.amazon.com/emr/latest/APIReference/API_SpotProvisioningSpecification.html

Attributes

CAPACITY_OPTIMIZED

Capacity-optimized, which launches instances from Spot Instance pools with optimal capacity for the number of instances that are launching.

SpotProvisioningSpecificationProperty

class EmrCreateCluster.SpotProvisioningSpecificationProperty(*, timeout_action, timeout_duration_minutes, allocation_strategy=None, block_duration_minutes=None)

Bases: object

The launch specification for Spot instances in the instance fleet, which determines the defined duration and provisioning timeout behavior.

Parameters:

  • timeout_action (SpotTimeoutAction) – The action to take when TargetSpotCapacity has not been fulfilled when the TimeoutDurationMinutes has expired.

  • timeout_duration_minutes (Union[int, float]) – The spot provisioning timeout period in minutes.

  • allocation_strategy (Optional[SpotAllocationStrategy]) – Specifies the strategy to use in launching Spot Instance fleets. Default: - No allocation strategy, i.e. spot instance type will be chosen based on current price only

  • block_duration_minutes (Union[int, float, None]) – The defined duration for Spot instances (also known as Spot blocks) in minutes. Default: - No blockDurationMinutes

See:

https://docs.aws.amazon.com/emr/latest/APIReference/API_SpotProvisioningSpecification.html

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_stepfunctions_tasks as stepfunctions_tasks

spot_provisioning_specification_property = stepfunctions_tasks.EmrCreateCluster.SpotProvisioningSpecificationProperty(
    timeout_action=stepfunctions_tasks.EmrCreateCluster.SpotTimeoutAction.SWITCH_TO_ON_DEMAND,
    timeout_duration_minutes=123,

    # the properties below are optional
    allocation_strategy=stepfunctions_tasks.EmrCreateCluster.SpotAllocationStrategy.CAPACITY_OPTIMIZED,
    block_duration_minutes=123
)

Attributes

allocation_strategy

Specifies the strategy to use in launching Spot Instance fleets.

Default:

  • No allocation strategy, i.e. spot instance type will be chosen based on current price only

block_duration_minutes

The defined duration for Spot instances (also known as Spot blocks) in minutes.

Default:

  • No blockDurationMinutes

timeout_action

The action to take when TargetSpotCapacity has not been fulfilled when the TimeoutDurationMinutes has expired.

timeout_duration_minutes

The spot provisioning timeout period in minutes.

SpotTimeoutAction

class EmrCreateCluster.SpotTimeoutAction(value)

Bases: Enum

Spot Timeout Actions.

Attributes

SWITCH_TO_ON_DEMAND

SWITCH_TO_ON_DEMAND.

TERMINATE_CLUSTER

TERMINATE_CLUSTER.

VolumeSpecificationProperty

class EmrCreateCluster.VolumeSpecificationProperty(*, volume_size, volume_type, iops=None)

Bases: object

EBS volume specifications such as volume type, IOPS, and size (GiB) that will be requested for the EBS volume attached to an EC2 instance in the cluster.

Parameters:

  • volume_size (Size) – The volume size. If the volume type is EBS-optimized, the minimum value is 10GiB. Maximum size is 1TiB

  • volume_type (EbsBlockDeviceVolumeType) – The volume type. Volume types supported are gp2, io1, standard.

  • iops (Union[int, float, None]) – The number of I/O operations per second (IOPS) that the volume supports. Default: - EMR selected default

See:

https://docs.aws.amazon.com/emr/latest/APIReference/API_VolumeSpecification.html

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_stepfunctions_tasks as stepfunctions_tasks
import aws_cdk.core as cdk

# size: cdk.Size

volume_specification_property = stepfunctions_tasks.EmrCreateCluster.VolumeSpecificationProperty(
    volume_size=size,
    volume_type=stepfunctions_tasks.EmrCreateCluster.EbsBlockDeviceVolumeType.GP2,

    # the properties below are optional
    iops=123
)

Attributes

iops

The number of I/O operations per second (IOPS) that the volume supports.

Default:

  • EMR selected default

volume_size

The volume size.

If the volume type is EBS-optimized, the minimum value is 10GiB. Maximum size is 1TiB

volume_type

The volume type.

Volume types supported are gp2, io1, standard.