wehub-resource-sync
33 lines
1.8 KiB
JSON
33 lines
1.8 KiB
JSON
{
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"_dashboard_memory_usage_mb": 135.335936,
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"_dashboard_test_success": true,
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"_peak_memory": 2.21,
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"_peak_process_memory": "PID\tMEM\tCOMMAND\n179\t0.95GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n969\t0.42GiB\tpython distributed/test_many_pgs.py\n294\t0.13GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dashboa\n454\t0.07GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/_private/runti\n783\t0.07GiB\tray::JobSupervisor\n452\t0.07GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/agen\n613\t0.07GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-lab --allow-root --ip=127.0.0.1 --no-\n1031\t0.06GiB\tray::MemoryMonitorActor.run\n1121\t0.05GiB\tray::DashboardTester.run\n392\t0.05GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/raylet/raylet --raylet_socket_name=",
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"num_pgs": 1000,
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"perf_metrics": [
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{
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"perf_metric_name": "pgs_per_second",
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"perf_metric_type": "THROUGHPUT",
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"perf_metric_value": 23.57570074520289
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},
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{
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"perf_metric_name": "dashboard_p50_latency_ms",
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"perf_metric_type": "LATENCY",
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"perf_metric_value": 3.411
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},
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{
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"perf_metric_name": "dashboard_p95_latency_ms",
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"perf_metric_type": "LATENCY",
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"perf_metric_value": 13.124
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},
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{
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"perf_metric_name": "dashboard_p99_latency_ms",
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"perf_metric_type": "LATENCY",
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"perf_metric_value": 812.483
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}
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],
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"pgs_per_second": 23.57570074520289,
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"success": "1",
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"time": 42.41655468940735
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}
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