wehub-resource-sync
16 lines
1.4 KiB
JSON
16 lines
1.4 KiB
JSON
{
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"_peak_memory": 3.42,
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"_peak_process_memory": "PID\tMEM\tCOMMAND\n190\t0.63GiB\t/home/ray/anaconda3/lib/python3.7/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n1991\t0.29GiB\tpython distributed/test_many_pgs.py\n215\t0.16GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/dash\n284\t0.11GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/agen\n81\t0.09GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/anyscale session web_terminal_server --deploy\n2032\t0.06GiB\tray::MemoryMonitorActor.run()\n208\t0.05GiB\t/home/ray/anaconda3/bin/python -m ray.util.client.server --address=172.31.95.89:9031 --host=0.0.0.0\n253\t0.05GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/_private/log_m\n80\t0.05GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-notebook --NotebookApp.token=61eb6141\n246\t0.03GiB\t/home/ray/anaconda3/lib/python3.7/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": 16.867906637394082
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}
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],
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"pgs_per_second": 16.867906637394082,
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"success": "1",
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"time": 59.28417921066284
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}
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