Summary

We would like to add the below backfill and main scheduling sdiag stats into gcm collector:

• schedule_cycle_max
• schedule_cycle_mean
• schedule_cycle_sum
• schedule_cycle_total
• schedule_cycle_per_minute
• schedule_queue_length
• bf_backfilled_jobs
• bf_cycle_max
• bf_cycle_mean
• bf_cycle_sum
• bf_queue_len
• sdiag_jobs_submitted
• sdiag_jobs_started
• sdiag_jobs_completed
• sdiag_jobs_canceled
• sdiag_jobs_failed
• sdiag_jobs_pending
• sdiag_jobs_running

These will help us to debug slurm controller slowness and responsiveness issue.

Note that these counters are accumulative if we don't call sdiag reset. Adding a reset call everytime after we collect sdiag stats. This will make the data more meaningful on a timely basis.

Test Plan

Run unit test:
python -m pytest gcm/tests/test_slurm.py -v

Output:

plugins: mock-3.14.1, xdist-3.7.0, typeguard-2.13.3, subprocess-1.5.3, requests-mock-1.12.1
collected 6 items                                                                                                                                                                                                           

gcm/tests/test_slurm.py::TestSlurmCliClient::test_squeue[expected0] PASSED                                                                                                                                            [ 16%]
gcm/tests/test_slurm.py::TestSlurmCliClient::test_squeue_throws_if_popen_throws PASSED                                                                                                                                [ 33%]
gcm/tests/test_slurm.py::TestSlurmCliClient::test_sinfo_throws_if_popen_throws PASSED                                                                                                                                 [ 50%]
gcm/tests/test_slurm.py::TestSlurmCliClient::test_sinfo_structured[sinfo-output-for-structured.txt-expected0] PASSED                                                                                                  [ 66%]
gcm/tests/test_slurm.py::TestSlurmCliClient::test_parse_sdiag_json PASSED                                                                                                                                             [ 83%]
gcm/tests/test_slurm.py::TestSlurmCliClient::test_parse_sdiag_json_with_missing_fields PASSED                                                                                                                         [100%]

===================================================================================================== 6 passed in 0.17s =====================================================================================================
You can verify E2E test results in the following urls

Also build and install gcm on fair-rc cluster (within a gcm conda env):

pip install --no-deps -e .
gcm slurm_monitor --sink=stdout --once

Output:
[{"derived_cluster": "fair-aws-rc-1", "server_thread_count": 1, "agent_queue_size": 0, "agent_count": 0, "agent_thread_count": 0, "dbd_agent_queue_size": 0, "schedule_cycle_max": 30402, "schedule_cycle_mean": 1300, "schedule_cycle_sum": 3151388, "schedule_cycle_total": 2424, "schedule_cycle_per_minute": 1, "schedule_queue_length": 63, "sdiag_jobs_submitted": 769, "sdiag_jobs_started": 691, "sdiag_jobs_completed": 681, "sdiag_jobs_canceled": 1, "sdiag_jobs_failed": 0, "sdiag_jobs_pending": 78, "sdiag_jobs_running": 1, "bf_backfilled_jobs": 46, "bf_cycle_mean": 5846, "bf_cycle_sum": 3852599, "bf_cycle_max": 24428, "bf_queue_len": 62, "nodes_allocated": 0, "nodes_completing": 2, "nodes_down": 0, "nodes_drained": 0, "nodes_draining": 0, "nodes_fail": 0, "nodes_failing": 0, "nodes_future": 0, "nodes_idle": 2, "nodes_inval": 0, "nodes_maint": 0, "nodes_reboot_issued": 0, "nodes_reboot_requested": 0, "nodes_mixed": 0, "nodes_perfctrs": 0, "nodes_planned": 0, "nodes_power_down": 0, "nodes_powered_down": 0, "nodes_powering_down": 0, "nodes_powering_up": 0, "nodes_reserved": 0, "nodes_unknown": 0, "nodes_not_responding": 0, "nodes_unknown_state": 0, "nodes_total": 4, "total_cpus_avail": 448, "total_gpus_avail": 16, "total_cpus_up": 448, "total_gpus_up": 16, "total_cpus_down": 0, "total_gpus_down": 0, "cluster": "fair-aws-rc-1", "running_and_pending_users": 0, "jobs_pending": 0, "gpus_pending": 0, "nodes_pending": 0, "jobs_failed": 0, "jobs_running": 0, "jobs_without_user": 0, "total_cpus_alloc": 0, "total_down_nodes": 0, "total_gpus_alloc": 0, "total_nodes_alloc": 2}]