{
    "_dashboard_memory_usage_mb": 153.915392,
    "_dashboard_test_success": true,
    "_peak_memory": 4.31,
    "_peak_process_memory": "PID\tMEM\tCOMMAND\n260\t0.98GiB\t/home/ray/anaconda3/lib/python3.7/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n3732\t0.36GiB\tpython distributed/test_many_pgs.py\n362\t0.12GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/dashboa\n538\t0.11GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/agen\n61\t0.09GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/anyscale session web_terminal_server --deploy\n3332\t0.08GiB\tray::JobSupervisor\n54\t0.07GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-lab --allow-root --ip=127.0.0.1 --no-\n3873\t0.06GiB\tray::MemoryMonitorActor.run\n426\t0.06GiB\t/home/ray/anaconda3/lib/python3.7/site-packages/ray/core/src/ray/raylet/raylet --raylet_socket_name=\n3965\t0.06GiB\tray::DashboardTester.run",
    "num_pgs": 1000,
    "perf_metrics": [
        {
            "perf_metric_name": "pgs_per_second",
            "perf_metric_type": "THROUGHPUT",
            "perf_metric_value": 18.873242531928092
        },
        {
            "perf_metric_name": "dashboard_p50_latency_ms",
            "perf_metric_type": "LATENCY",
            "perf_metric_value": 3.665
        },
        {
            "perf_metric_name": "dashboard_p95_latency_ms",
            "perf_metric_type": "LATENCY",
            "perf_metric_value": 146.174
        },
        {
            "perf_metric_name": "dashboard_p99_latency_ms",
            "perf_metric_type": "LATENCY",
            "perf_metric_value": 274.346
        }
    ],
    "pgs_per_second": 18.873242531928092,
    "success": "1",
    "time": 52.985065937042236
}