wehub-resource-sync
39 lines
1.9 KiB
JSON
39 lines
1.9 KiB
JSON
{
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"_dashboard_memory_usage_mb": 752.021504,
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"_dashboard_test_success": true,
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"_peak_memory": 16.23,
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"_peak_process_memory": "PID\tMEM\tCOMMAND\n151\t1.29GiB\t/home/ray/anaconda3/lib/python3.8/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n266\t1.2GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/lib/python3.8/site-packages/ray/dashboard/dashboa\n875\t0.72GiB\tpython distributed/test_many_tasks.py --num-tasks=10000\n1075\t0.08GiB\tray::StateAPIGeneratorActor.start\n426\t0.08GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.8/site-packages/ray/_private/runti\n1022\t0.07GiB\tray::DashboardTester.run\n693\t0.07GiB\tray::JobSupervisor\n424\t0.06GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.8/site-packages/ray/dashboard/agen\n582\t0.06GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-lab --allow-root --ip=127.0.0.1 --no-\n935\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": 588.9176566466048
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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": 7.016
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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": 15375.92
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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": 18629.093
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}
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],
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"success": "1",
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"tasks_per_second": 588.9176566466048,
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"time": 316.98030257225037,
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"used_cpus": 2500.0
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}
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