{ "_dashboard_memory_usage_mb": 586.133504, "_dashboard_test_success": true, "_peak_memory": 3.74, "_peak_process_memory": "PID\tMEM\tCOMMAND\n151\t1.71GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n795\t0.9GiB\tpython distributed/test_many_actors.py\n266\t0.43GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dashboa\n427\t0.07GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/_private/runti\n615\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-\n425\t0.06GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/agen\n855\t0.06GiB\tray::MemoryMonitorActor.run\n943\t0.05GiB\tray::DashboardTester.run\n366\t0.04GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/_private/log_m", "actors_per_second": 636.4202043276684, "num_actors": 10000, "perf_metrics": [ { "perf_metric_name": "actors_per_second", "perf_metric_type": "THROUGHPUT", "perf_metric_value": 636.4202043276684 }, { "perf_metric_name": "dashboard_p50_latency_ms", "perf_metric_type": "LATENCY", "perf_metric_value": 151.88 }, { "perf_metric_name": "dashboard_p95_latency_ms", "perf_metric_type": "LATENCY", "perf_metric_value": 3121.637 }, { "perf_metric_name": "dashboard_p99_latency_ms", "perf_metric_type": "LATENCY", "perf_metric_value": 5398.368 } ], "success": "1", "time": 15.712888956069946 }