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[Do not merge] Compare 2.2.0 release benchmarks against 2.3 master branch #32086
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{ | ||
"_peak_memory": 3.18, | ||
"_peak_process_memory": "PID\tMEM\tCOMMAND\n291\t1.44GiB\t/home/ray/anaconda3/lib/python3.7/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n2023\t0.85GiB\tpython distributed/test_many_actors.py\n415\t0.35GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/dashboa\n47\t0.09GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/anyscale session web_terminal_server --deploy\n717\t0.06GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/agen\n44\t0.06GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-notebook --NotebookApp.token=aph0_Ckc\n2160\t0.06GiB\tray::MemoryMonitorActor.run\n342\t0.05GiB\t/home/ray/anaconda3/bin/python -m ray.util.client.server --address=172.31.240.63:9031 --host=0.0.0.0\n615\t0.05GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/_private/log_m\n542\t0.02GiB\t/home/ray/anaconda3/lib/python3.7/site-packages/ray/core/src/ray/raylet/raylet --raylet_socket_name=", | ||
"actors_per_second": 600.3905147006428, | ||
"_dashboard_memory_usage_mb": 427.753472, | ||
"_dashboard_test_success": true, | ||
"_peak_memory": 6.35, | ||
"_peak_process_memory": "PID\tMEM\tCOMMAND\n291\t4.5GiB\t/home/ray/anaconda3/lib/python3.7/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n3424\t0.86GiB\tpython distributed/test_many_actors.py\n464\t0.31GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/dashboa\n47\t0.09GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/anyscale session web_terminal_server --deploy\n3646\t0.08GiB\tray::DashboardTester.run\n765\t0.08GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/agen\n44\t0.06GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-notebook --NotebookApp.token=aph0_CkY\n3561\t0.06GiB\tray::MemoryMonitorActor.run\n391\t0.05GiB\t/home/ray/anaconda3/bin/python -m ray.util.client.server --address=172.31.252.180:9031 --host=0.0.0.\n663\t0.05GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/_private/log_m", | ||
"actors_per_second": 764.2541981782514, | ||
"num_actors": 10000, | ||
"perf_metrics": [ | ||
{ | ||
"perf_metric_name": "actors_per_second", | ||
"perf_metric_type": "THROUGHPUT", | ||
"perf_metric_value": 600.3905147006428 | ||
"perf_metric_value": 764.2541981782514 | ||
}, | ||
{ | ||
"perf_metric_name": "dashboard_p50_latency_ms", | ||
"perf_metric_type": "LATENCY", | ||
"perf_metric_value": 17.429 | ||
}, | ||
{ | ||
"perf_metric_name": "dashboard_p95_latency_ms", | ||
"perf_metric_type": "LATENCY", | ||
"perf_metric_value": 345.315 | ||
}, | ||
{ | ||
"perf_metric_name": "dashboard_p99_latency_ms", | ||
"perf_metric_type": "LATENCY", | ||
"perf_metric_value": 4157.664 | ||
} | ||
], | ||
"success": "1", | ||
"time": 16.655826091766357 | ||
"time": 13.084651708602905 | ||
} |
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{ | ||
"_peak_memory": 1.15, | ||
"_peak_process_memory": "PID\tMEM\tCOMMAND\n291\t0.2GiB\t/home/ray/anaconda3/lib/python3.7/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n3002\t0.18GiB\tpython distributed/test_many_tasks.py --num-tasks=1000\n415\t0.17GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/dashboa\n47\t0.09GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/anyscale session web_terminal_server --deploy\n3204\t0.07GiB\tray::StateAPIGeneratorActor.start\n3139\t0.06GiB\tray::MemoryMonitorActor.run\n798\t0.06GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/agen\n44\t0.06GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-notebook --NotebookApp.token=agh0_Ckg\n342\t0.05GiB\t/home/ray/anaconda3/bin/python -m ray.util.client.server --address=172.31.151.143:9031 --host=0.0.0.\n615\t0.05GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/_private/log_m", | ||
"_dashboard_memory_usage_mb": 233.955328, | ||
"_dashboard_test_success": true, | ||
"_peak_memory": 4.43, | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. created #32090 for peak memory increase |
||
"_peak_process_memory": "PID\tMEM\tCOMMAND\n291\t3.28GiB\t/home/ray/anaconda3/lib/python3.7/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n464\t0.21GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/dashboa\n3080\t0.19GiB\tpython distributed/test_many_tasks.py --num-tasks=1000\n47\t0.09GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/anyscale session web_terminal_server --deploy\n765\t0.08GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/agen\n3302\t0.07GiB\tray::DashboardTester.run\n3381\t0.07GiB\tray::StateAPIGeneratorActor.start\n3215\t0.06GiB\tray::MemoryMonitorActor.run\n44\t0.06GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-notebook --NotebookApp.token=agh0_Ckg\n391\t0.05GiB\t/home/ray/anaconda3/bin/python -m ray.util.client.server --address=172.31.139.139:9031 --host=0.0.0.", | ||
"num_tasks": 1000, | ||
"perf_metrics": [ | ||
{ | ||
"perf_metric_name": "tasks_per_second", | ||
"perf_metric_type": "THROUGHPUT", | ||
"perf_metric_value": 10.05839692054449 | ||
"perf_metric_value": 9.578374462181227 | ||
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}, | ||
{ | ||
"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": 3.208 | ||
}, | ||
{ | ||
"perf_metric_name": "dashboard_p95_latency_ms", | ||
"perf_metric_type": "LATENCY", | ||
"perf_metric_value": 26.241 | ||
}, | ||
{ | ||
"perf_metric_name": "dashboard_p99_latency_ms", | ||
"perf_metric_type": "LATENCY", | ||
"perf_metric_value": 124.386 | ||
} | ||
], | ||
"success": "1", | ||
"tasks_per_second": 10.05839692054449, | ||
"time": 399.4194211959839 | ||
"tasks_per_second": 9.578374462181227, | ||
"time": 404.4018485546112, | ||
"used_cpus": 250.0 | ||
} |
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{ | ||
"_peak_memory": 1.58, | ||
"_peak_process_memory": "PID\tMEM\tCOMMAND\n291\t0.58GiB\t/home/ray/anaconda3/lib/python3.7/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n3057\t0.31GiB\tpython distributed/test_many_pgs.py\n415\t0.13GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/dashboa\n47\t0.09GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/anyscale session web_terminal_server --deploy\n542\t0.08GiB\t/home/ray/anaconda3/lib/python3.7/site-packages/ray/core/src/ray/raylet/raylet --raylet_socket_name=\n716\t0.06GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/agen\n3192\t0.06GiB\tray::MemoryMonitorActor.run\n44\t0.06GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-notebook --NotebookApp.token=aph0_Ckc\n342\t0.05GiB\t/home/ray/anaconda3/bin/python -m ray.util.client.server --address=172.31.238.30:9031 --host=0.0.0.0\n615\t0.05GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/_private/log_m", | ||
"_dashboard_memory_usage_mb": 186.888192, | ||
"_dashboard_test_success": true, | ||
"_peak_memory": 4.38, | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. created #32090 for peak memory increase |
||
"_peak_process_memory": "PID\tMEM\tCOMMAND\n291\t3.33GiB\t/home/ray/anaconda3/lib/python3.7/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n2512\t0.23GiB\tpython distributed/test_many_pgs.py\n464\t0.14GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/dashboa\n47\t0.09GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/anyscale session web_terminal_server --deploy\n765\t0.08GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/agen\n590\t0.08GiB\t/home/ray/anaconda3/lib/python3.7/site-packages/ray/core/src/ray/raylet/raylet --raylet_socket_name=\n2647\t0.06GiB\tray::MemoryMonitorActor.run\n44\t0.06GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-notebook --NotebookApp.token=aph0_Ckc\n2732\t0.06GiB\tray::DashboardTester.run\n391\t0.05GiB\t/home/ray/anaconda3/bin/python -m ray.util.client.server --address=172.31.153.35:9031 --host=0.0.0.0", | ||
"num_pgs": 1000, | ||
"perf_metrics": [ | ||
{ | ||
"perf_metric_name": "pgs_per_second", | ||
"perf_metric_type": "THROUGHPUT", | ||
"perf_metric_value": 16.829968864206098 | ||
"perf_metric_value": 18.321118079596065 | ||
}, | ||
{ | ||
"perf_metric_name": "dashboard_p50_latency_ms", | ||
"perf_metric_type": "LATENCY", | ||
"perf_metric_value": 3.133 | ||
}, | ||
{ | ||
"perf_metric_name": "dashboard_p95_latency_ms", | ||
"perf_metric_type": "LATENCY", | ||
"perf_metric_value": 11.277 | ||
}, | ||
{ | ||
"perf_metric_name": "dashboard_p99_latency_ms", | ||
"perf_metric_type": "LATENCY", | ||
"perf_metric_value": 136.774 | ||
} | ||
], | ||
"pgs_per_second": 16.829968864206098, | ||
"pgs_per_second": 18.321118079596065, | ||
"success": "1", | ||
"time": 59.417816400527954 | ||
"time": 54.58182168006897 | ||
} |
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{ | ||
"_peak_memory": 2.95, | ||
"_peak_process_memory": "PID\tMEM\tCOMMAND\n291\t1.11GiB\t/home/ray/anaconda3/lib/python3.7/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n2033\t0.74GiB\tpython distributed/test_many_tasks.py --num-tasks=10000\n415\t0.45GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/dashboa\n47\t0.09GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/anyscale session web_terminal_server --deploy\n2240\t0.07GiB\tray::StateAPIGeneratorActor.start\n717\t0.06GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/agen\n2169\t0.06GiB\tray::MemoryMonitorActor.run\n44\t0.06GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-notebook --NotebookApp.token=aph0_Ckg\n342\t0.05GiB\t/home/ray/anaconda3/bin/python -m ray.util.client.server --address=172.31.171.196:9031 --host=0.0.0.\n615\t0.05GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/_private/log_m", | ||
"_dashboard_memory_usage_mb": 446.6688, | ||
"_dashboard_test_success": true, | ||
"_peak_memory": 6.4, | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. created #32090 for peak memory increase |
||
"_peak_process_memory": "PID\tMEM\tCOMMAND\n291\t4.35GiB\t/home/ray/anaconda3/lib/python3.7/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n2440\t0.73GiB\tpython distributed/test_many_tasks.py --num-tasks=10000\n464\t0.5GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/dashboa\n2659\t0.1GiB\tray::DashboardTester.run\n47\t0.09GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/anyscale session web_terminal_server --deploy\n765\t0.08GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/agen\n2724\t0.07GiB\tray::StateAPIGeneratorActor.start\n2575\t0.06GiB\tray::MemoryMonitorActor.run\n44\t0.06GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-notebook --NotebookApp.token=aph0_Ckc\n391\t0.05GiB\t/home/ray/anaconda3/bin/python -m ray.util.client.server --address=172.31.181.115:9031 --host=0.0.0.", | ||
"num_tasks": 10000, | ||
"perf_metrics": [ | ||
{ | ||
"perf_metric_name": "tasks_per_second", | ||
"perf_metric_type": "THROUGHPUT", | ||
"perf_metric_value": 27.08832351001015 | ||
"perf_metric_value": 26.7708503965987 | ||
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}, | ||
{ | ||
"perf_metric_name": "used_cpus_by_deadline", | ||
"perf_metric_type": "THROUGHPUT", | ||
"perf_metric_value": 1726.75 | ||
}, | ||
{ | ||
"perf_metric_name": "dashboard_p50_latency_ms", | ||
"perf_metric_type": "LATENCY", | ||
"perf_metric_value": 3.396 | ||
}, | ||
{ | ||
"perf_metric_name": "dashboard_p95_latency_ms", | ||
"perf_metric_type": "LATENCY", | ||
"perf_metric_value": 245.56 | ||
}, | ||
{ | ||
"perf_metric_name": "dashboard_p99_latency_ms", | ||
"perf_metric_type": "LATENCY", | ||
"perf_metric_value": 767.356 | ||
} | ||
], | ||
"success": "1", | ||
"tasks_per_second": 27.08832351001015, | ||
"time": 669.162750005722 | ||
"tasks_per_second": 26.7708503965987, | ||
"time": 673.5406179428101, | ||
"used_cpus": 1726.75 | ||
} |
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created #32090 for peak memory increase