Glue / Client / get_workflow_run
get_workflow_run#
- Glue.Client.get_workflow_run(**kwargs)#
Retrieves the metadata for a given workflow run.
See also: AWS API Documentation
Request Syntax
response = client.get_workflow_run( Name='string', RunId='string', IncludeGraph=True|False )
- Parameters:
Name (string) –
[REQUIRED]
Name of the workflow being run.
RunId (string) –
[REQUIRED]
The ID of the workflow run.
IncludeGraph (boolean) – Specifies whether to include the workflow graph in response or not.
- Return type:
dict
- Returns:
Response Syntax
{ 'Run': { 'Name': 'string', 'WorkflowRunId': 'string', 'PreviousRunId': 'string', 'WorkflowRunProperties': { 'string': 'string' }, 'StartedOn': datetime(2015, 1, 1), 'CompletedOn': datetime(2015, 1, 1), 'Status': 'RUNNING'|'COMPLETED'|'STOPPING'|'STOPPED'|'ERROR', 'ErrorMessage': 'string', 'Statistics': { 'TotalActions': 123, 'TimeoutActions': 123, 'FailedActions': 123, 'StoppedActions': 123, 'SucceededActions': 123, 'RunningActions': 123, 'ErroredActions': 123, 'WaitingActions': 123 }, 'Graph': { 'Nodes': [ { 'Type': 'CRAWLER'|'JOB'|'TRIGGER', 'Name': 'string', 'UniqueId': 'string', 'TriggerDetails': { 'Trigger': { 'Name': 'string', 'WorkflowName': 'string', 'Id': 'string', 'Type': 'SCHEDULED'|'CONDITIONAL'|'ON_DEMAND'|'EVENT', 'State': 'CREATING'|'CREATED'|'ACTIVATING'|'ACTIVATED'|'DEACTIVATING'|'DEACTIVATED'|'DELETING'|'UPDATING', 'Description': 'string', 'Schedule': 'string', 'Actions': [ { 'JobName': 'string', 'Arguments': { 'string': 'string' }, 'Timeout': 123, 'SecurityConfiguration': 'string', 'NotificationProperty': { 'NotifyDelayAfter': 123 }, 'CrawlerName': 'string' }, ], 'Predicate': { 'Logical': 'AND'|'ANY', 'Conditions': [ { 'LogicalOperator': 'EQUALS', 'JobName': 'string', 'State': 'STARTING'|'RUNNING'|'STOPPING'|'STOPPED'|'SUCCEEDED'|'FAILED'|'TIMEOUT'|'ERROR'|'WAITING'|'EXPIRED', 'CrawlerName': 'string', 'CrawlState': 'RUNNING'|'CANCELLING'|'CANCELLED'|'SUCCEEDED'|'FAILED'|'ERROR' }, ] }, 'EventBatchingCondition': { 'BatchSize': 123, 'BatchWindow': 123 } } }, 'JobDetails': { 'JobRuns': [ { 'Id': 'string', 'Attempt': 123, 'PreviousRunId': 'string', 'TriggerName': 'string', 'JobName': 'string', 'StartedOn': datetime(2015, 1, 1), 'LastModifiedOn': datetime(2015, 1, 1), 'CompletedOn': datetime(2015, 1, 1), 'JobRunState': 'STARTING'|'RUNNING'|'STOPPING'|'STOPPED'|'SUCCEEDED'|'FAILED'|'TIMEOUT'|'ERROR'|'WAITING'|'EXPIRED', 'Arguments': { 'string': 'string' }, 'ErrorMessage': 'string', 'PredecessorRuns': [ { 'JobName': 'string', 'RunId': 'string' }, ], 'AllocatedCapacity': 123, 'ExecutionTime': 123, 'Timeout': 123, 'MaxCapacity': 123.0, 'WorkerType': 'Standard'|'G.1X'|'G.2X'|'G.025X'|'G.4X'|'G.8X'|'Z.2X', 'NumberOfWorkers': 123, 'SecurityConfiguration': 'string', 'LogGroupName': 'string', 'NotificationProperty': { 'NotifyDelayAfter': 123 }, 'GlueVersion': 'string', 'DPUSeconds': 123.0, 'ExecutionClass': 'FLEX'|'STANDARD', 'MaintenanceWindow': 'string' }, ] }, 'CrawlerDetails': { 'Crawls': [ { 'State': 'RUNNING'|'CANCELLING'|'CANCELLED'|'SUCCEEDED'|'FAILED'|'ERROR', 'StartedOn': datetime(2015, 1, 1), 'CompletedOn': datetime(2015, 1, 1), 'ErrorMessage': 'string', 'LogGroup': 'string', 'LogStream': 'string' }, ] } }, ], 'Edges': [ { 'SourceId': 'string', 'DestinationId': 'string' }, ] }, 'StartingEventBatchCondition': { 'BatchSize': 123, 'BatchWindow': 123 } } }
Response Structure
(dict) –
Run (dict) –
The requested workflow run metadata.
Name (string) –
Name of the workflow that was run.
WorkflowRunId (string) –
The ID of this workflow run.
PreviousRunId (string) –
The ID of the previous workflow run.
WorkflowRunProperties (dict) –
The workflow run properties which were set during the run.
(string) –
(string) –
StartedOn (datetime) –
The date and time when the workflow run was started.
CompletedOn (datetime) –
The date and time when the workflow run completed.
Status (string) –
The status of the workflow run.
ErrorMessage (string) –
This error message describes any error that may have occurred in starting the workflow run. Currently the only error message is “Concurrent runs exceeded for workflow:
foo
.”Statistics (dict) –
The statistics of the run.
TotalActions (integer) –
Total number of Actions in the workflow run.
TimeoutActions (integer) –
Total number of Actions that timed out.
FailedActions (integer) –
Total number of Actions that have failed.
StoppedActions (integer) –
Total number of Actions that have stopped.
SucceededActions (integer) –
Total number of Actions that have succeeded.
RunningActions (integer) –
Total number Actions in running state.
ErroredActions (integer) –
Indicates the count of job runs in the ERROR state in the workflow run.
WaitingActions (integer) –
Indicates the count of job runs in WAITING state in the workflow run.
Graph (dict) –
The graph representing all the Glue components that belong to the workflow as nodes and directed connections between them as edges.
Nodes (list) –
A list of the the Glue components belong to the workflow represented as nodes.
(dict) –
A node represents an Glue component (trigger, crawler, or job) on a workflow graph.
Type (string) –
The type of Glue component represented by the node.
Name (string) –
The name of the Glue component represented by the node.
UniqueId (string) –
The unique Id assigned to the node within the workflow.
TriggerDetails (dict) –
Details of the Trigger when the node represents a Trigger.
Trigger (dict) –
The information of the trigger represented by the trigger node.
Name (string) –
The name of the trigger.
WorkflowName (string) –
The name of the workflow associated with the trigger.
Id (string) –
Reserved for future use.
Type (string) –
The type of trigger that this is.
State (string) –
The current state of the trigger.
Description (string) –
A description of this trigger.
Schedule (string) –
A
cron
expression used to specify the schedule (see Time-Based Schedules for Jobs and Crawlers. For example, to run something every day at 12:15 UTC, you would specify:cron(15 12 * * ? *)
.Actions (list) –
The actions initiated by this trigger.
(dict) –
Defines an action to be initiated by a trigger.
JobName (string) –
The name of a job to be run.
Arguments (dict) –
The job arguments used when this trigger fires. For this job run, they replace the default arguments set in the job definition itself.
You can specify arguments here that your own job-execution script consumes, as well as arguments that Glue itself consumes.
For information about how to specify and consume your own Job arguments, see the Calling Glue APIs in Python topic in the developer guide.
For information about the key-value pairs that Glue consumes to set up your job, see the Special Parameters Used by Glue topic in the developer guide.
(string) –
(string) –
Timeout (integer) –
The
JobRun
timeout in minutes. This is the maximum time that a job run can consume resources before it is terminated and entersTIMEOUT
status. The default is 2,880 minutes (48 hours). This overrides the timeout value set in the parent job.SecurityConfiguration (string) –
The name of the
SecurityConfiguration
structure to be used with this action.NotificationProperty (dict) –
Specifies configuration properties of a job run notification.
NotifyDelayAfter (integer) –
After a job run starts, the number of minutes to wait before sending a job run delay notification.
CrawlerName (string) –
The name of the crawler to be used with this action.
Predicate (dict) –
The predicate of this trigger, which defines when it will fire.
Logical (string) –
An optional field if only one condition is listed. If multiple conditions are listed, then this field is required.
Conditions (list) –
A list of the conditions that determine when the trigger will fire.
(dict) –
Defines a condition under which a trigger fires.
LogicalOperator (string) –
A logical operator.
JobName (string) –
The name of the job whose
JobRuns
this condition applies to, and on which this trigger waits.State (string) –
The condition state. Currently, the only job states that a trigger can listen for are
SUCCEEDED
,STOPPED
,FAILED
, andTIMEOUT
. The only crawler states that a trigger can listen for areSUCCEEDED
,FAILED
, andCANCELLED
.CrawlerName (string) –
The name of the crawler to which this condition applies.
CrawlState (string) –
The state of the crawler to which this condition applies.
EventBatchingCondition (dict) –
Batch condition that must be met (specified number of events received or batch time window expired) before EventBridge event trigger fires.
BatchSize (integer) –
Number of events that must be received from Amazon EventBridge before EventBridge event trigger fires.
BatchWindow (integer) –
Window of time in seconds after which EventBridge event trigger fires. Window starts when first event is received.
JobDetails (dict) –
Details of the Job when the node represents a Job.
JobRuns (list) –
The information for the job runs represented by the job node.
(dict) –
Contains information about a job run.
Id (string) –
The ID of this job run.
Attempt (integer) –
The number of the attempt to run this job.
PreviousRunId (string) –
The ID of the previous run of this job. For example, the
JobRunId
specified in theStartJobRun
action.TriggerName (string) –
The name of the trigger that started this job run.
JobName (string) –
The name of the job definition being used in this run.
StartedOn (datetime) –
The date and time at which this job run was started.
LastModifiedOn (datetime) –
The last time that this job run was modified.
CompletedOn (datetime) –
The date and time that this job run completed.
JobRunState (string) –
The current state of the job run. For more information about the statuses of jobs that have terminated abnormally, see Glue Job Run Statuses.
Arguments (dict) –
The job arguments associated with this run. For this job run, they replace the default arguments set in the job definition itself.
You can specify arguments here that your own job-execution script consumes, as well as arguments that Glue itself consumes.
Job arguments may be logged. Do not pass plaintext secrets as arguments. Retrieve secrets from a Glue Connection, Secrets Manager or other secret management mechanism if you intend to keep them within the Job.
For information about how to specify and consume your own Job arguments, see the Calling Glue APIs in Python topic in the developer guide.
For information about the arguments you can provide to this field when configuring Spark jobs, see the Special Parameters Used by Glue topic in the developer guide.
For information about the arguments you can provide to this field when configuring Ray jobs, see Using job parameters in Ray jobs in the developer guide.
(string) –
(string) –
ErrorMessage (string) –
An error message associated with this job run.
PredecessorRuns (list) –
A list of predecessors to this job run.
(dict) –
A job run that was used in the predicate of a conditional trigger that triggered this job run.
JobName (string) –
The name of the job definition used by the predecessor job run.
RunId (string) –
The job-run ID of the predecessor job run.
AllocatedCapacity (integer) –
This field is deprecated. Use
MaxCapacity
instead.The number of Glue data processing units (DPUs) allocated to this JobRun. From 2 to 100 DPUs can be allocated; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page.
ExecutionTime (integer) –
The amount of time (in seconds) that the job run consumed resources.
Timeout (integer) –
The
JobRun
timeout in minutes. This is the maximum time that a job run can consume resources before it is terminated and entersTIMEOUT
status. This value overrides the timeout value set in the parent job.The maximum value for timeout for batch jobs is 7 days or 10080 minutes. The default is 2880 minutes (48 hours) for batch jobs.
Any existing Glue jobs that have a greater timeout value are defaulted to 7 days. For instance you have specified a timeout of 20 days for a batch job, it will be stopped on the 7th day.
Streaming jobs must have timeout values less than 7 days or 10080 minutes. When the value is left blank, the job will be restarted after 7 days based if you have not setup a maintenance window. If you have setup maintenance window, it will be restarted during the maintenance window after 7 days.
MaxCapacity (float) –
For Glue version 1.0 or earlier jobs, using the standard worker type, the number of 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. For more information, see the Glue pricing page.
For Glue version 2.0+ jobs, you cannot specify a
Maximum capacity
. Instead, you should specify aWorker type
and theNumber of workers
.Do not set
MaxCapacity
if usingWorkerType
andNumberOfWorkers
.The value that can be allocated for
MaxCapacity
depends on whether you are running a Python shell job, an Apache Spark ETL job, or an Apache Spark streaming 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”) or Apache Spark streaming ETL job ( ``JobCommand.Name``=”gluestreaming”), you can allocate from 2 to 100 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.
WorkerType (string) –
The type of predefined worker that is allocated when a job runs. Accepts a value of G.1X, G.2X, G.4X, G.8X or G.025X for Spark jobs. Accepts the value Z.2X for Ray jobs.
For the
G.1X
worker type, each worker maps to 1 DPU (4 vCPUs, 16 GB of memory) with 84GB disk (approximately 34GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.For the
G.2X
worker type, each worker maps to 2 DPU (8 vCPUs, 32 GB of memory) with 128GB disk (approximately 77GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.For the
G.4X
worker type, each worker maps to 4 DPU (16 vCPUs, 64 GB of memory) with 256GB disk (approximately 235GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs in the following Amazon Web Services Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), and Europe (Stockholm).For the
G.8X
worker type, each worker maps to 8 DPU (32 vCPUs, 128 GB of memory) with 512GB disk (approximately 487GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs, in the same Amazon Web Services Regions as supported for theG.4X
worker type.For the
G.025X
worker type, each worker maps to 0.25 DPU (2 vCPUs, 4 GB of memory) with 84GB disk (approximately 34GB free), and provides 1 executor per worker. We recommend this worker type for low volume streaming jobs. This worker type is only available for Glue version 3.0 streaming jobs.For the
Z.2X
worker type, each worker maps to 2 M-DPU (8vCPUs, 64 GB of memory) with 128 GB disk (approximately 120GB free), and provides up to 8 Ray workers based on the autoscaler.
NumberOfWorkers (integer) –
The number of workers of a defined
workerType
that are allocated when a job runs.SecurityConfiguration (string) –
The name of the
SecurityConfiguration
structure to be used with this job run.LogGroupName (string) –
The name of the log group for secure logging that can be server-side encrypted in Amazon CloudWatch using KMS. This name can be
/aws-glue/jobs/
, in which case the default encryption isNONE
. If you add a role name andSecurityConfiguration
name (in other words,/aws-glue/jobs-yourRoleName-yourSecurityConfigurationName/
), then that security configuration is used to encrypt the log group.NotificationProperty (dict) –
Specifies configuration properties of a job run notification.
NotifyDelayAfter (integer) –
After a job run starts, the number of minutes to wait before sending a job run delay notification.
GlueVersion (string) –
In Spark jobs,
GlueVersion
determines the versions of Apache Spark and Python that Glue available in a job. The Python version indicates the version supported for jobs of type Spark.Ray jobs should set
GlueVersion
to4.0
or greater. However, the versions of Ray, Python and additional libraries available in your Ray job are determined by theRuntime
parameter of the Job command.For more information about the available 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.
DPUSeconds (float) –
This field can be set for either job runs with execution class
FLEX
or when Auto Scaling is enabled, and represents the total time each executor ran during the lifecycle of a job run in seconds, multiplied by a DPU factor (1 forG.1X
, 2 forG.2X
, or 0.25 forG.025X
workers). This value may be different than theexecutionEngineRuntime
*MaxCapacity
as in the case of Auto Scaling jobs, as the number of executors running at a given time may be less than theMaxCapacity
. Therefore, it is possible that the value ofDPUSeconds
is less thanexecutionEngineRuntime
*MaxCapacity
.ExecutionClass (string) –
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 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.MaintenanceWindow (string) –
This field specifies a day of the week and hour for a maintenance window for streaming jobs. Glue periodically performs maintenance activities. During these maintenance windows, Glue will need to restart your streaming jobs.
Glue will restart the job within 3 hours of the specified maintenance window. For instance, if you set up the maintenance window for Monday at 10:00AM GMT, your jobs will be restarted between 10:00AM GMT to 1:00PM GMT.
CrawlerDetails (dict) –
Details of the crawler when the node represents a crawler.
Crawls (list) –
A list of crawls represented by the crawl node.
(dict) –
The details of a crawl in the workflow.
State (string) –
The state of the crawler.
StartedOn (datetime) –
The date and time on which the crawl started.
CompletedOn (datetime) –
The date and time on which the crawl completed.
ErrorMessage (string) –
The error message associated with the crawl.
LogGroup (string) –
The log group associated with the crawl.
LogStream (string) –
The log stream associated with the crawl.
Edges (list) –
A list of all the directed connections between the nodes belonging to the workflow.
(dict) –
An edge represents a directed connection between two Glue components that are part of the workflow the edge belongs to.
SourceId (string) –
The unique of the node within the workflow where the edge starts.
DestinationId (string) –
The unique of the node within the workflow where the edge ends.
StartingEventBatchCondition (dict) –
The batch condition that started the workflow run.
BatchSize (integer) –
Number of events in the batch.
BatchWindow (integer) –
Duration of the batch window in seconds.
Exceptions
Glue.Client.exceptions.InvalidInputException
Glue.Client.exceptions.EntityNotFoundException
Glue.Client.exceptions.InternalServiceException
Glue.Client.exceptions.OperationTimeoutException