wehub-resource-sync
33 lines
1.8 KiB
JSON
33 lines
1.8 KiB
JSON
{
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"_dashboard_memory_usage_mb": 474.591232,
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"_dashboard_test_success": true,
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"_peak_memory": 14.33,
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"_peak_process_memory": "PID\tMEM\tCOMMAND\n216\t1.45GiB\t/home/ray/anaconda3/lib/python3.8/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n2111\t0.83GiB\tpython distributed/test_many_actors.py\n322\t0.29GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/lib/python3.8/site-packages/ray/dashboard/dashboa\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\n1939\t0.06GiB\tray::JobSupervisor\n52\t0.06GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-lab --allow-root --ip=127.0.0.1 --no-\n2221\t0.06GiB\tray::MemoryMonitorActor.run\n407\t0.05GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.8/site-packages/ray/dashboard/agen\n2299\t0.05GiB\tray::DashboardTester.run",
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"actors_per_second": 738.330085638146,
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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": 738.330085638146
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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": 35.742
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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": 3539.897
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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": 6204.525
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}
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],
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"success": "1",
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"time": 13.544077634811401
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}
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