wehub-resource-sync
39 lines
1.9 KiB
JSON
39 lines
1.9 KiB
JSON
{
|
|
"_dashboard_memory_usage_mb": 686.809088,
|
|
"_dashboard_test_success": true,
|
|
"_peak_memory": 4.06,
|
|
"_peak_process_memory": "PID\tMEM\tCOMMAND\n151\t1.34GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n266\t1.14GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dashboa\n793\t0.74GiB\tpython distributed/test_many_tasks.py --num-tasks=10000\n993\t0.09GiB\tray::StateAPIGeneratorActor.start\n941\t0.08GiB\tray::DashboardTester.run\n613\t0.07GiB\tray::JobSupervisor\n426\t0.07GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/_private/runti\n424\t0.07GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/agen\n581\t0.07GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-lab --allow-root --ip=127.0.0.1 --no-\n869\t0.06GiB\tray::MemoryMonitorActor.run",
|
|
"num_tasks": 10000,
|
|
"perf_metrics": [
|
|
{
|
|
"perf_metric_name": "tasks_per_second",
|
|
"perf_metric_type": "THROUGHPUT",
|
|
"perf_metric_value": 573.1499972957042
|
|
},
|
|
{
|
|
"perf_metric_name": "used_cpus_by_deadline",
|
|
"perf_metric_type": "THROUGHPUT",
|
|
"perf_metric_value": 2500.0
|
|
},
|
|
{
|
|
"perf_metric_name": "dashboard_p50_latency_ms",
|
|
"perf_metric_type": "LATENCY",
|
|
"perf_metric_value": 7.656
|
|
},
|
|
{
|
|
"perf_metric_name": "dashboard_p95_latency_ms",
|
|
"perf_metric_type": "LATENCY",
|
|
"perf_metric_value": 15277.685
|
|
},
|
|
{
|
|
"perf_metric_name": "dashboard_p99_latency_ms",
|
|
"perf_metric_type": "LATENCY",
|
|
"perf_metric_value": 26050.588
|
|
}
|
|
],
|
|
"success": "1",
|
|
"tasks_per_second": 573.1499972957042,
|
|
"time": 317.44743967056274,
|
|
"used_cpus": 2500.0
|
|
}
|