wehub-resource-sync
33 lines
1.8 KiB
JSON
33 lines
1.8 KiB
JSON
{
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"_dashboard_memory_usage_mb": 451.813376,
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"_dashboard_test_success": true,
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"_peak_memory": 13.37,
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"_peak_process_memory": "PID\tMEM\tCOMMAND\n218\t1.53GiB\t/home/ray/anaconda3/lib/python3.8/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n1203\t0.89GiB\tpython distributed/test_many_actors.py\n325\t0.33GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/lib/python3.8/site-packages/ray/dashboard/dashboa\n415\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\n918\t0.09GiB\tray::JobSupervisor\n1366\t0.08GiB\tray::DashboardTester.run\n1314\t0.07GiB\tray::MemoryMonitorActor.run\n54\t0.06GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-lab --allow-root --ip=127.0.0.1 --no-\n370\t0.06GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.8/site-packages/ray/_private/log_m",
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"actors_per_second": 845.1171004808074,
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"num_actors": 10000,
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"perf_metrics": [
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{
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"perf_metric_name": "actors_per_second",
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"perf_metric_type": "THROUGHPUT",
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"perf_metric_value": 845.1171004808074
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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": 7.477
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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": 1085.121
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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": 3789.746
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}
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],
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"success": "1",
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"time": 11.832679748535156
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}
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