{
    "_peak_memory": 1.58,
    "_peak_process_memory": "PID\tMEM\tCOMMAND\n291\t0.58GiB\t/home/ray/anaconda3/lib/python3.7/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n3057\t0.31GiB\tpython distributed/test_many_pgs.py\n415\t0.13GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/dashboa\n47\t0.09GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/anyscale session web_terminal_server --deploy\n542\t0.08GiB\t/home/ray/anaconda3/lib/python3.7/site-packages/ray/core/src/ray/raylet/raylet --raylet_socket_name=\n716\t0.06GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/agen\n3192\t0.06GiB\tray::MemoryMonitorActor.run\n44\t0.06GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-notebook --NotebookApp.token=aph0_Ckc\n342\t0.05GiB\t/home/ray/anaconda3/bin/python -m ray.util.client.server --address=172.31.238.30:9031 --host=0.0.0.0\n615\t0.05GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/_private/log_m",
    "num_pgs": 1000,
    "perf_metrics": [
        {
            "perf_metric_name": "pgs_per_second",
            "perf_metric_type": "THROUGHPUT",
            "perf_metric_value": 16.829968864206098
        }
    ],
    "pgs_per_second": 16.829968864206098,
    "success": "1",
    "time": 59.417816400527954
}