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many_nodes.json
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many_nodes.json
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{
"_dashboard_memory_usage_mb": 189.771776,
"_dashboard_test_success": true,
"_peak_memory": 1.64,
"_peak_process_memory": "PID\tMEM\tCOMMAND\n151\t0.53GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n266\t0.17GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dashboa\n841\t0.16GiB\tpython distributed/test_many_tasks.py --num-tasks=1000\n1104\t0.09GiB\tray::StateAPIGeneratorActor.start\n659\t0.07GiB\tray::JobSupervisor\n423\t0.07GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/_private/runti\n421\t0.07GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/agen\n575\t0.07GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-lab --allow-root --ip=127.0.0.1 --no-\n1052\t0.06GiB\tray::DashboardTester.run\n964\t0.06GiB\tray::MemoryMonitorActor.run",
"num_tasks": 1000,
"perf_metrics": [
{
"perf_metric_name": "tasks_per_second",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 354.0160266311495
},
{
"perf_metric_name": "used_cpus_by_deadline",
"perf_metric_type": "THROUGHPUT",
"perf_metric_value": 250.0
},
{
"perf_metric_name": "dashboard_p50_latency_ms",
"perf_metric_type": "LATENCY",
"perf_metric_value": 4.269
},
{
"perf_metric_name": "dashboard_p95_latency_ms",
"perf_metric_type": "LATENCY",
"perf_metric_value": 61.618
},
{
"perf_metric_name": "dashboard_p99_latency_ms",
"perf_metric_type": "LATENCY",
"perf_metric_value": 216.1
}
],
"success": "1",
"tasks_per_second": 354.0160266311495,
"time": 302.8247308731079,
"used_cpus": 250.0
}