These tasks tend to be very short but can queue behind grade reports
Here are the 3 tasks over the last 30 days with average duration runtimes in seconds: lms.djangoapps.instructor_task.tasks.calculate_students_features_csv 37.794393 lms.djangoapps.instructor_task.tasks.calculate_may_enroll_csv 0.030303 lms.djangoapps.instructor_task.tasks.export_ora2_data 67.629921 All but ora2 seem fine to pass through the default queue, which has 3 workers per physical machine.
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@@ -193,7 +193,7 @@ def calculate_problem_grade_report(entry_id, xmodule_instance_args):
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return run_main_task(entry_id, task_fn, action_name)
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@task(base=BaseInstructorTask, routing_key=settings.GRADES_DOWNLOAD_ROUTING_KEY) # pylint: disable=not-callable
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@task(base=BaseInstructorTask) # pylint: disable=not-callable
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def calculate_students_features_csv(entry_id, xmodule_instance_args):
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"""
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Compute student profile information for a course and upload the
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@@ -252,7 +252,7 @@ def proctored_exam_results_csv(entry_id, xmodule_instance_args):
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return run_main_task(entry_id, task_fn, action_name)
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@task(base=BaseInstructorTask, routing_key=settings.GRADES_DOWNLOAD_ROUTING_KEY) # pylint: disable=not-callable
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@task(base=BaseInstructorTask) # pylint: disable=not-callable
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def calculate_may_enroll_csv(entry_id, xmodule_instance_args):
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"""
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Compute information about invited students who have not enrolled
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@@ -293,7 +293,7 @@ def cohort_students(entry_id, xmodule_instance_args):
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return run_main_task(entry_id, task_fn, action_name)
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@task(base=BaseInstructorTask, routing_key=settings.GRADES_DOWNLOAD_ROUTING_KEY) # pylint: disable=not-callable
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@task(base=BaseInstructorTask) # pylint: disable=not-callable
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def export_ora2_data(entry_id, xmodule_instance_args):
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"""
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Generate a CSV of ora2 responses and push it to S3.
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