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- {
- "_dashboard_memory_usage_mb": 419.053568,
- "_dashboard_test_success": true,
- "_peak_memory": 5.79,
- "_peak_process_memory": "PID\tMEM\tCOMMAND\n260\t1.9GiB\t/home/ray/anaconda3/lib/python3.7/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n3378\t0.88GiB\tpython distributed/test_many_actors.py\n362\t0.31GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/dashboa\n467\t0.09GiB\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\n2969\t0.07GiB\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-\n3527\t0.06GiB\tray::MemoryMonitorActor.run\n3615\t0.06GiB\tray::DashboardTester.run\n361\t0.04GiB\t/home/ray/anaconda3/bin/python -m ray.util.client.server --address=10.0.52.216:6379 --host=0.0.0.0 -",
- "actors_per_second": 811.637347086435,
- "num_actors": 10000,
- "perf_metrics": [
- {
- "perf_metric_name": "actors_per_second",
- "perf_metric_type": "THROUGHPUT",
- "perf_metric_value": 811.637347086435
- },
- {
- "perf_metric_name": "dashboard_p50_latency_ms",
- "perf_metric_type": "LATENCY",
- "perf_metric_value": 20.18
- },
- {
- "perf_metric_name": "dashboard_p95_latency_ms",
- "perf_metric_type": "LATENCY",
- "perf_metric_value": 1862.916
- },
- {
- "perf_metric_name": "dashboard_p99_latency_ms",
- "perf_metric_type": "LATENCY",
- "perf_metric_value": 3114.033
- }
- ],
- "success": "1",
- "time": 12.320773601531982
- }
|