list_notebook_executions
(**kwargs)¶Provides summaries of all notebook executions. You can filter the list based on multiple criteria such as status, time range, and editor id. Returns a maximum of 50 notebook executions and a marker to track the paging of a longer notebook execution list across multiple ListNotebookExecution
calls.
See also: AWS API Documentation
Request Syntax
response = client.list_notebook_executions(
EditorId='string',
Status='START_PENDING'|'STARTING'|'RUNNING'|'FINISHING'|'FINISHED'|'FAILING'|'FAILED'|'STOP_PENDING'|'STOPPING'|'STOPPED',
From=datetime(2015, 1, 1),
To=datetime(2015, 1, 1),
Marker='string'
)
The status filter for listing notebook executions.
START_PENDING
indicates that the cluster has received the execution request but execution has not begun.STARTING
indicates that the execution is starting on the cluster.RUNNING
indicates that the execution is being processed by the cluster.FINISHING
indicates that execution processing is in the final stages.FINISHED
indicates that the execution has completed without error.FAILING
indicates that the execution is failing and will not finish successfully.FAILED
indicates that the execution failed.STOP_PENDING
indicates that the cluster has received a StopNotebookExecution
request and the stop is pending.STOPPING
indicates that the cluster is in the process of stopping the execution as a result of a StopNotebookExecution
request.STOPPED
indicates that the execution stopped because of a StopNotebookExecution
request.ListNotebookExecutions
call, that indicates the start of the list for this ListNotebookExecutions
call.dict
Response Syntax
{
'NotebookExecutions': [
{
'NotebookExecutionId': 'string',
'EditorId': 'string',
'NotebookExecutionName': 'string',
'Status': 'START_PENDING'|'STARTING'|'RUNNING'|'FINISHING'|'FINISHED'|'FAILING'|'FAILED'|'STOP_PENDING'|'STOPPING'|'STOPPED',
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1)
},
],
'Marker': 'string'
}
Response Structure
(dict) --
NotebookExecutions (list) --
A list of notebook executions.
(dict) --
Details for a notebook execution. The details include information such as the unique ID and status of the notebook execution.
NotebookExecutionId (string) --
The unique identifier of the notebook execution.
EditorId (string) --
The unique identifier of the editor associated with the notebook execution.
NotebookExecutionName (string) --
The name of the notebook execution.
Status (string) --
The status of the notebook execution.
START_PENDING
indicates that the cluster has received the execution request but execution has not begun.STARTING
indicates that the execution is starting on the cluster.RUNNING
indicates that the execution is being processed by the cluster.FINISHING
indicates that execution processing is in the final stages.FINISHED
indicates that the execution has completed without error.FAILING
indicates that the execution is failing and will not finish successfully.FAILED
indicates that the execution failed.STOP_PENDING
indicates that the cluster has received a StopNotebookExecution
request and the stop is pending.STOPPING
indicates that the cluster is in the process of stopping the execution as a result of a StopNotebookExecution
request.STOPPED
indicates that the execution stopped because of a StopNotebookExecution
request.StartTime (datetime) --
The timestamp when notebook execution started.
EndTime (datetime) --
The timestamp when notebook execution started.
Marker (string) --
A pagination token that a subsequent ListNotebookExecutions
can use to determine the next set of results to retrieve.
Exceptions
EMR.Client.exceptions.InternalServerError
EMR.Client.exceptions.InvalidRequestException