wehub-resource-sync
39 lines
1.9 KiB
JSON
39 lines
1.9 KiB
JSON
{
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"_dashboard_memory_usage_mb": 194.056192,
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"_dashboard_test_success": true,
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"_peak_memory": 3.57,
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"_peak_process_memory": "PID\tMEM\tCOMMAND\n202\t0.45GiB\t/home/ray/anaconda3/lib/python3.8/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n303\t0.17GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/lib/python3.8/site-packages/ray/dashboard/dashboa\n1178\t0.16GiB\tpython distributed/test_many_tasks.py --num-tasks=1000\n385\t0.07GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.8/site-packages/ray/_private/runti\n1039\t0.07GiB\tray::JobSupervisor\n1392\t0.06GiB\tray::StateAPIGeneratorActor.start\n70\t0.06GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-lab --allow-root --ip=127.0.0.1 --no-\n1356\t0.06GiB\tray::DashboardTester.run\n383\t0.06GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.8/site-packages/ray/dashboard/agen\n1284\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": 271.6776615598984
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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": 5.547
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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": 87.047
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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": 188.461
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}
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],
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"success": "1",
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"tasks_per_second": 271.6776615598984,
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"time": 303.6808326244354,
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"used_cpus": 250.0
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}
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