wehub-resource-sync
39 lines
1.9 KiB
JSON
39 lines
1.9 KiB
JSON
{
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"_dashboard_memory_usage_mb": 189.493248,
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"_dashboard_test_success": true,
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"_peak_memory": 11.77,
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"_peak_process_memory": "PID\tMEM\tCOMMAND\n151\t0.51GiB\t/home/ray/anaconda3/lib/python3.8/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n266\t0.17GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/lib/python3.8/site-packages/ray/dashboard/dashboa\n960\t0.16GiB\tpython distributed/test_many_tasks.py --num-tasks=1000\n1223\t0.08GiB\tray::StateAPIGeneratorActor.start\n425\t0.08GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.8/site-packages/ray/_private/runti\n780\t0.07GiB\tray::JobSupervisor\n423\t0.06GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.8/site-packages/ray/dashboard/agen\n1172\t0.06GiB\tray::DashboardTester.run\n578\t0.06GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-lab --allow-root --ip=127.0.0.1 --no-\n1083\t0.06GiB\tray::MemoryMonitorActor.run",
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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": 334.39709719072584
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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": 4.569
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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": 67.669
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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": 227.35
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}
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],
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"success": "1",
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"tasks_per_second": 334.39709719072584,
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"time": 302.9904565811157,
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"used_cpus": 250.0
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}
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