CfnJob
- class aws_cdk.aws_glue.CfnJob(scope, id, *, command, role, allocated_capacity=None, connections=None, default_arguments=None, description=None, execution_class=None, execution_property=None, glue_version=None, log_uri=None, max_capacity=None, max_retries=None, name=None, non_overridable_arguments=None, notification_property=None, number_of_workers=None, security_configuration=None, tags=None, timeout=None, worker_type=None)
Bases:
CfnResource
A CloudFormation
AWS::Glue::Job
.The
AWS::Glue::Job
resource specifies an AWS Glue job in the data catalog. For more information, see Adding Jobs in AWS Glue and Job Structure in the AWS Glue Developer Guide.- CloudformationResource:
AWS::Glue::Job
- Link:
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-job.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_glue as glue # default_arguments: Any # non_overridable_arguments: Any # tags: Any cfn_job = glue.CfnJob(self, "MyCfnJob", command=glue.CfnJob.JobCommandProperty( name="name", python_version="pythonVersion", runtime="runtime", script_location="scriptLocation" ), role="role", # the properties below are optional allocated_capacity=123, connections=glue.CfnJob.ConnectionsListProperty( connections=["connections"] ), default_arguments=default_arguments, description="description", execution_class="executionClass", execution_property=glue.CfnJob.ExecutionPropertyProperty( max_concurrent_runs=123 ), glue_version="glueVersion", log_uri="logUri", max_capacity=123, max_retries=123, name="name", non_overridable_arguments=non_overridable_arguments, notification_property=glue.CfnJob.NotificationPropertyProperty( notify_delay_after=123 ), number_of_workers=123, security_configuration="securityConfiguration", tags=tags, timeout=123, worker_type="workerType" )
Create a new
AWS::Glue::Job
.- Parameters:
scope (
Construct
) –scope in which this resource is defined.
id (
str
) –scoped id of the resource.
command (
Union
[IResolvable
,JobCommandProperty
,Dict
[str
,Any
]]) – The code that executes a job.role (
str
) – The name or Amazon Resource Name (ARN) of the IAM role associated with this job.allocated_capacity (
Union
[int
,float
,None
]) – This parameter is no longer supported. UseMaxCapacity
instead. The number of capacity units that are allocated to this job.connections (
Union
[IResolvable
,ConnectionsListProperty
,Dict
[str
,Any
],None
]) – The connections used for this job.default_arguments (
Optional
[Any
]) – The default arguments for this job, specified as name-value pairs. You can specify arguments here that your own job-execution script consumes, in addition to arguments that AWS Glue itself consumes. For information about how to specify and consume your own job arguments, see Calling AWS Glue APIs in Python in the AWS Glue Developer Guide . For information about the key-value pairs that AWS Glue consumes to set up your job, see Special Parameters Used by AWS Glue in the AWS Glue Developer Guide .description (
Optional
[str
]) – A description of the job.execution_class (
Optional
[str
]) – Indicates whether the job is run with a standard or flexible execution class. The standard execution class is ideal for time-sensitive workloads that require fast job startup and dedicated resources. The flexible execution class is appropriate for time-insensitive jobs whose start and completion times may vary. Only jobs with AWS Glue version 3.0 and above and command typeglueetl
will be allowed to setExecutionClass
toFLEX
. The flexible execution class is available for Spark jobs.execution_property (
Union
[IResolvable
,ExecutionPropertyProperty
,Dict
[str
,Any
],None
]) – The maximum number of concurrent runs that are allowed for this job.glue_version (
Optional
[str
]) – Glue version determines the versions of Apache Spark and Python that AWS Glue supports. The Python version indicates the version supported for jobs of type Spark. For more information about the available AWS Glue versions and corresponding Spark and Python versions, see Glue version in the developer guide. Jobs that are created without specifying a Glue version default to Glue 0.9.log_uri (
Optional
[str
]) – This field is reserved for future use.max_capacity (
Union
[int
,float
,None
]) – The number of AWS Glue data processing units (DPUs) that can be allocated when this job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. Do not setMax Capacity
if usingWorkerType
andNumberOfWorkers
. The value that can be allocated forMaxCapacity
depends on whether you are running a Python shell job or an Apache Spark ETL job: - When you specify a Python shell job (JobCommand.Name
=”pythonshell”), you can allocate either 0.0625 or 1 DPU. The default is 0.0625 DPU. - When you specify an Apache Spark ETL job (JobCommand.Name
=”glueetl”), you can allocate from 2 to 100 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.max_retries (
Union
[int
,float
,None
]) – The maximum number of times to retry this job after a JobRun fails.name (
Optional
[str
]) – The name you assign to this job definition.non_overridable_arguments (
Optional
[Any
]) – Non-overridable arguments for this job, specified as name-value pairs.notification_property (
Union
[IResolvable
,NotificationPropertyProperty
,Dict
[str
,Any
],None
]) – Specifies configuration properties of a notification.number_of_workers (
Union
[int
,float
,None
]) – The number of workers of a definedworkerType
that are allocated when a job runs. The maximum number of workers you can define are 299 forG.1X
, and 149 forG.2X
.security_configuration (
Optional
[str
]) – The name of theSecurityConfiguration
structure to be used with this job.tags (
Optional
[Any
]) – The tags to use with this job.timeout (
Union
[int
,float
,None
]) – The job timeout in minutes. This is the maximum time that a job run can consume resources before it is terminated and enters TIMEOUT status. The default is 2,880 minutes (48 hours).worker_type (
Optional
[str
]) – The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, or G.2X. - For theStandard
worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker. - For theG.1X
worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs. - For theG.2X
worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.
Methods
- add_deletion_override(path)
Syntactic sugar for
addOverride(path, undefined)
.- Parameters:
path (
str
) – The path of the value to delete.- Return type:
None
- add_depends_on(target)
Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.
This can be used for resources across stacks (or nested stack) boundaries and the dependency will automatically be transferred to the relevant scope.
- Parameters:
target (
CfnResource
) –- Return type:
None
- add_metadata(key, value)
Add a value to the CloudFormation Resource Metadata.
- Parameters:
key (
str
) –value (
Any
) –
- See:
- Return type:
None
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html
Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.
- add_override(path, value)
Adds an override to the synthesized CloudFormation resource.
To add a property override, either use
addPropertyOverride
or prefixpath
with “Properties.” (i.e.Properties.TopicName
).If the override is nested, separate each nested level using a dot (.) in the path parameter. If there is an array as part of the nesting, specify the index in the path.
To include a literal
.
in the property name, prefix with a\
. In most programming languages you will need to write this as"\\."
because the\
itself will need to be escaped.For example:
cfn_resource.add_override("Properties.GlobalSecondaryIndexes.0.Projection.NonKeyAttributes", ["myattribute"]) cfn_resource.add_override("Properties.GlobalSecondaryIndexes.1.ProjectionType", "INCLUDE")
would add the overrides Example:
"Properties": { "GlobalSecondaryIndexes": [ { "Projection": { "NonKeyAttributes": [ "myattribute" ] ... } ... }, { "ProjectionType": "INCLUDE" ... }, ] ... }
The
value
argument toaddOverride
will not be processed or translated in any way. Pass raw JSON values in here with the correct capitalization for CloudFormation. If you pass CDK classes or structs, they will be rendered with lowercased key names, and CloudFormation will reject the template.- Parameters:
path (
str
) –The path of the property, you can use dot notation to override values in complex types. Any intermdediate keys will be created as needed.
value (
Any
) –The value. Could be primitive or complex.
- Return type:
None
- add_property_deletion_override(property_path)
Adds an override that deletes the value of a property from the resource definition.
- Parameters:
property_path (
str
) – The path to the property.- Return type:
None
- add_property_override(property_path, value)
Adds an override to a resource property.
Syntactic sugar for
addOverride("Properties.<...>", value)
.- Parameters:
property_path (
str
) – The path of the property.value (
Any
) – The value.
- Return type:
None
- apply_removal_policy(policy=None, *, apply_to_update_replace_policy=None, default=None)
Sets the deletion policy of the resource based on the removal policy specified.
The Removal Policy controls what happens to this resource when it stops being managed by CloudFormation, either because you’ve removed it from the CDK application or because you’ve made a change that requires the resource to be replaced.
The resource can be deleted (
RemovalPolicy.DESTROY
), or left in your AWS account for data recovery and cleanup later (RemovalPolicy.RETAIN
).- Parameters:
policy (
Optional
[RemovalPolicy
]) –apply_to_update_replace_policy (
Optional
[bool
]) – Apply the same deletion policy to the resource’s “UpdateReplacePolicy”. Default: truedefault (
Optional
[RemovalPolicy
]) – The default policy to apply in case the removal policy is not defined. Default: - Default value is resource specific. To determine the default value for a resoure, please consult that specific resource’s documentation.
- Return type:
None
- get_att(attribute_name)
Returns a token for an runtime attribute of this resource.
Ideally, use generated attribute accessors (e.g.
resource.arn
), but this can be used for future compatibility in case there is no generated attribute.- Parameters:
attribute_name (
str
) – The name of the attribute.- Return type:
- get_metadata(key)
Retrieve a value value from the CloudFormation Resource Metadata.
- Parameters:
key (
str
) –- See:
- Return type:
Any
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html
Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.
- inspect(inspector)
Examines the CloudFormation resource and discloses attributes.
- Parameters:
inspector (
TreeInspector
) –tree inspector to collect and process attributes.
- Return type:
None
- override_logical_id(new_logical_id)
Overrides the auto-generated logical ID with a specific ID.
- Parameters:
new_logical_id (
str
) – The new logical ID to use for this stack element.- Return type:
None
- to_string()
Returns a string representation of this construct.
- Return type:
str
- Returns:
a string representation of this resource
Attributes
- CFN_RESOURCE_TYPE_NAME = 'AWS::Glue::Job'
- allocated_capacity
This parameter is no longer supported. Use
MaxCapacity
instead.The number of capacity units that are allocated to this job.
- cfn_options
Options for this resource, such as condition, update policy etc.
- cfn_resource_type
AWS resource type.
- command
The code that executes a job.
- connections
The connections used for this job.
- creation_stack
return:
the stack trace of the point where this Resource was created from, sourced from the +metadata+ entry typed +aws:cdk:logicalId+, and with the bottom-most node +internal+ entries filtered.
- default_arguments
The default arguments for this job, specified as name-value pairs.
You can specify arguments here that your own job-execution script consumes, in addition to arguments that AWS Glue itself consumes.
For information about how to specify and consume your own job arguments, see Calling AWS Glue APIs in Python in the AWS Glue Developer Guide .
For information about the key-value pairs that AWS Glue consumes to set up your job, see Special Parameters Used by AWS Glue in the AWS Glue Developer Guide .
- description
A description of the job.
- execution_class
Indicates whether the job is run with a standard or flexible execution class.
The standard execution class is ideal for time-sensitive workloads that require fast job startup and dedicated resources.
The flexible execution class is appropriate for time-insensitive jobs whose start and completion times may vary.
Only jobs with AWS Glue version 3.0 and above and command type
glueetl
will be allowed to setExecutionClass
toFLEX
. The flexible execution class is available for Spark jobs.
- execution_property
The maximum number of concurrent runs that are allowed for this job.
- glue_version
Glue version determines the versions of Apache Spark and Python that AWS Glue supports.
The Python version indicates the version supported for jobs of type Spark.
For more information about the available AWS Glue versions and corresponding Spark and Python versions, see Glue version in the developer guide.
Jobs that are created without specifying a Glue version default to Glue 0.9.
- log_uri
This field is reserved for future use.
- logical_id
The logical ID for this CloudFormation stack element.
The logical ID of the element is calculated from the path of the resource node in the construct tree.
To override this value, use
overrideLogicalId(newLogicalId)
.- Returns:
the logical ID as a stringified token. This value will only get resolved during synthesis.
- max_capacity
The number of AWS Glue data processing units (DPUs) that can be allocated when this job runs.
A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory.
Do not set
Max Capacity
if usingWorkerType
andNumberOfWorkers
.The value that can be allocated for
MaxCapacity
depends on whether you are running a Python shell job or an Apache Spark ETL job:When you specify a Python shell job (
JobCommand.Name
=”pythonshell”), you can allocate either 0.0625 or 1 DPU. The default is 0.0625 DPU.When you specify an Apache Spark ETL job (
JobCommand.Name
=”glueetl”), you can allocate from 2 to 100 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.
- max_retries
The maximum number of times to retry this job after a JobRun fails.
- name
The name you assign to this job definition.
- node
The construct tree node associated with this construct.
- non_overridable_arguments
Non-overridable arguments for this job, specified as name-value pairs.
- notification_property
Specifies configuration properties of a notification.
- number_of_workers
The number of workers of a defined
workerType
that are allocated when a job runs.The maximum number of workers you can define are 299 for
G.1X
, and 149 forG.2X
.
- ref
Return a string that will be resolved to a CloudFormation
{ Ref }
for this element.If, by any chance, the intrinsic reference of a resource is not a string, you could coerce it to an IResolvable through
Lazy.any({ produce: resource.ref })
.
- role
The name or Amazon Resource Name (ARN) of the IAM role associated with this job.
- security_configuration
The name of the
SecurityConfiguration
structure to be used with this job.
- stack
The stack in which this element is defined.
CfnElements must be defined within a stack scope (directly or indirectly).
- tags
The tags to use with this job.
- timeout
The job timeout in minutes.
This is the maximum time that a job run can consume resources before it is terminated and enters TIMEOUT status. The default is 2,880 minutes (48 hours).
- worker_type
The type of predefined worker that is allocated when a job runs.
Accepts a value of Standard, G.1X, or G.2X.
For the
Standard
worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.For the
G.1X
worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.For the
G.2X
worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.
Static Methods
- classmethod is_cfn_element(x)
Returns
true
if a construct is a stack element (i.e. part of the synthesized cloudformation template).Uses duck-typing instead of
instanceof
to allow stack elements from different versions of this library to be included in the same stack.- Parameters:
x (
Any
) –- Return type:
bool
- Returns:
The construct as a stack element or undefined if it is not a stack element.
- classmethod is_cfn_resource(construct)
Check whether the given construct is a CfnResource.
- Parameters:
construct (
IConstruct
) –- Return type:
bool
- classmethod is_construct(x)
Return whether the given object is a Construct.
- Parameters:
x (
Any
) –- Return type:
bool
ConnectionsListProperty
- class CfnJob.ConnectionsListProperty(*, connections=None)
Bases:
object
Specifies the connections used by a job.
- Parameters:
connections (
Optional
[Sequence
[str
]]) – A list of connections used by the job.- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_glue as glue connections_list_property = glue.CfnJob.ConnectionsListProperty( connections=["connections"] )
Attributes
- connections
A list of connections used by the job.
ExecutionPropertyProperty
- class CfnJob.ExecutionPropertyProperty(*, max_concurrent_runs=None)
Bases:
object
An execution property of a job.
- Parameters:
max_concurrent_runs (
Union
[int
,float
,None
]) – The maximum number of concurrent runs allowed for the job. The default is 1. An error is returned when this threshold is reached. The maximum value you can specify is controlled by a service limit.- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_glue as glue execution_property_property = glue.CfnJob.ExecutionPropertyProperty( max_concurrent_runs=123 )
Attributes
- max_concurrent_runs
The maximum number of concurrent runs allowed for the job.
The default is 1. An error is returned when this threshold is reached. The maximum value you can specify is controlled by a service limit.
JobCommandProperty
- class CfnJob.JobCommandProperty(*, name=None, python_version=None, runtime=None, script_location=None)
Bases:
object
Specifies code executed when a job is run.
- Parameters:
name (
Optional
[str
]) – The name of the job command. For an Apache Spark ETL job, this must beglueetl
. For a Python shell job, it must bepythonshell
. For an Apache Spark streaming ETL job, this must begluestreaming
.python_version (
Optional
[str
]) – The Python version being used to execute a Python shell job. Allowed values are 3 or 3.9. Version 2 is deprecated.runtime (
Optional
[str
]) –CfnJob.JobCommandProperty.Runtime
.script_location (
Optional
[str
]) – Specifies the Amazon Simple Storage Service (Amazon S3) path to a script that executes a job (required).
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_glue as glue job_command_property = glue.CfnJob.JobCommandProperty( name="name", python_version="pythonVersion", runtime="runtime", script_location="scriptLocation" )
Attributes
- name
The name of the job command.
For an Apache Spark ETL job, this must be
glueetl
. For a Python shell job, it must bepythonshell
. For an Apache Spark streaming ETL job, this must begluestreaming
.
- python_version
The Python version being used to execute a Python shell job.
Allowed values are 3 or 3.9. Version 2 is deprecated.
- runtime
CfnJob.JobCommandProperty.Runtime
.
- script_location
Specifies the Amazon Simple Storage Service (Amazon S3) path to a script that executes a job (required).
NotificationPropertyProperty
- class CfnJob.NotificationPropertyProperty(*, notify_delay_after=None)
Bases:
object
Specifies configuration properties of a notification.
- Parameters:
notify_delay_after (
Union
[int
,float
,None
]) – After a job run starts, the number of minutes to wait before sending a job run delay notification.- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_glue as glue notification_property_property = glue.CfnJob.NotificationPropertyProperty( notify_delay_after=123 )
Attributes
- notify_delay_after
After a job run starts, the number of minutes to wait before sending a job run delay notification.