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many_pgs.json
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many_pgs.json
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{
"_dashboard_memory_usage_mb": 164.27008,
"_dashboard_test_success": true,
"_peak_memory": 14.99,
"_peak_process_memory": "PID\tMEM\tCOMMAND\n218\t0.82GiB\t/home/ray/anaconda3/lib/python3.8/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n1139\t0.34GiB\tpython distributed/test_many_pgs.py\n325\t0.12GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/lib/python3.8/site-packages/ray/dashboard/dashboa\n415\t0.12GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.8/site-packages/ray/dashboard/agen\n61\t0.09GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/anyscale session web_terminal_server --deploy\n858\t0.09GiB\tray::JobSupervisor\n1239\t0.07GiB\tray::MemoryMonitorActor.run\n1306\t0.07GiB\tray::DashboardTester.run\n369\t0.07GiB\t/home/ray/anaconda3/lib/python3.8/site-packages/ray/core/src/ray/raylet/raylet --raylet_socket_name=\n54\t0.06GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-lab --allow-root --ip=127.0.0.1 --no-",
"num_pgs": 1000,
"perf_metrics": [
{
"perf_metric_name": "pgs_per_second",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 17.201921322728428
},
{
"perf_metric_name": "dashboard_p50_latency_ms",
"perf_metric_type": "LATENCY",
"perf_metric_value": 2.64
},
{
"perf_metric_name": "dashboard_p95_latency_ms",
"perf_metric_type": "LATENCY",
"perf_metric_value": 95.334
},
{
"perf_metric_name": "dashboard_p99_latency_ms",
"perf_metric_type": "LATENCY",
"perf_metric_value": 150.309
}
],
"pgs_per_second": 17.201921322728428,
"success": "1",
"time": 58.13304114341736
}