many_pgs.json

{
    "_dashboard_memory_usage_mb": 161.185792,
    "_dashboard_test_success": true,
    "_peak_memory": 2.19,
    "_peak_process_memory": "PID\tMEM\tCOMMAND\n151\t0.95GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n803\t0.43GiB\tpython distributed/test_many_pgs.py\n266\t0.13GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dashboa\n426\t0.07GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/_private/runti\n620\t0.07GiB\tray::JobSupervisor\n583\t0.07GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-lab --allow-root --ip=127.0.0.1 --no-\n424\t0.07GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/agen\n878\t0.06GiB\tray::MemoryMonitorActor.run\n951\t0.05GiB\tray::DashboardTester.run\n365\t0.04GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/_private/log_m",
    "num_pgs": 1000,
    "perf_metrics": [
        {
            "perf_metric_name": "pgs_per_second",
            "perf_metric_type": "THROUGHPUT",
            "perf_metric_value": 23.144902235160945
        },
        {
            "perf_metric_name": "dashboard_p50_latency_ms",
            "perf_metric_type": "LATENCY",
            "perf_metric_value": 3.32
        },
        {
            "perf_metric_name": "dashboard_p95_latency_ms",
            "perf_metric_type": "LATENCY",
            "perf_metric_value": 41.134
        },
        {
            "perf_metric_name": "dashboard_p99_latency_ms",
            "perf_metric_type": "LATENCY",
            "perf_metric_value": 548.637
        }
    ],
    "pgs_per_second": 23.144902235160945,
    "success": "1",
    "time": 43.206058502197266
}