wehub-resource-sync
39 lines
1.9 KiB
JSON
39 lines
1.9 KiB
JSON
{
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"_dashboard_memory_usage_mb": 708.866048,
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"_dashboard_test_success": true,
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"_peak_memory": 15.93,
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"_peak_process_memory": "PID\tMEM\tCOMMAND\n216\t1.7GiB\t/home/ray/anaconda3/lib/python3.8/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n322\t1.07GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/lib/python3.8/site-packages/ray/dashboard/dashboa\n942\t0.73GiB\tpython distributed/test_many_tasks.py --num-tasks=10000\n1108\t0.08GiB\tray::DashboardTester.run\n59\t0.08GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/anyscale session web_terminal_server --deploy\n409\t0.07GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.8/site-packages/ray/_private/runti\n753\t0.07GiB\tray::JobSupervisor\n1165\t0.06GiB\tray::StateAPIGeneratorActor.start\n52\t0.06GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-lab --allow-root --ip=127.0.0.1 --no-\n1053\t0.06GiB\tray::MemoryMonitorActor.run",
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"num_tasks": 10000,
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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": 429.0546317074886
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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": 2500.0
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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": 6.852
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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": 8149.28
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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": 14019.625
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}
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],
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"success": "1",
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"tasks_per_second": 429.0546317074886,
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"time": 323.30705523490906,
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"used_cpus": 2500.0
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}
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