wehub-resource-sync
39 lines
1.9 KiB
JSON
39 lines
1.9 KiB
JSON
{
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"_dashboard_memory_usage_mb": 188.833792,
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"_dashboard_test_success": true,
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"_peak_memory": 14.72,
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"_peak_process_memory": "PID\tMEM\tCOMMAND\n218\t0.52GiB\t/home/ray/anaconda3/lib/python3.8/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n1814\t0.21GiB\tpython distributed/test_many_tasks.py --num-tasks=1000\n325\t0.17GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/lib/python3.8/site-packages/ray/dashboard/dashboa\n413\t0.1GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.8/site-packages/ray/dashboard/agen\n61\t0.09GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/anyscale session web_terminal_server --deploy\n1533\t0.09GiB\tray::JobSupervisor\n2000\t0.08GiB\tray::StateAPIGeneratorActor.start\n1914\t0.08GiB\tray::MemoryMonitorActor.run\n1971\t0.07GiB\tray::DashboardTester.run\n54\t0.06GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-lab --allow-root --ip=127.0.0.1 --no-",
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"num_tasks": 1000,
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"perf_metrics": [
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{
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"perf_metric_name": "tasks_per_second",
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"perf_metric_type": "THROUGHPUT",
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"perf_metric_value": 204.4884347110974
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},
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{
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"perf_metric_name": "used_cpus_by_deadline",
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"perf_metric_type": "THROUGHPUT",
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"perf_metric_value": 250.0
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},
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{
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"perf_metric_name": "dashboard_p50_latency_ms",
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"perf_metric_type": "LATENCY",
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"perf_metric_value": 4.092
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},
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{
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"perf_metric_name": "dashboard_p95_latency_ms",
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"perf_metric_type": "LATENCY",
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"perf_metric_value": 43.56
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},
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{
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"perf_metric_name": "dashboard_p99_latency_ms",
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"perf_metric_type": "LATENCY",
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"perf_metric_value": 135.06
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}
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],
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"success": "1",
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"tasks_per_second": 204.4884347110974,
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"time": 304.8902521133423,
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"used_cpus": 250.0
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}
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