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Add perf metrics for 2.51.0 #58175
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,32 +1,31 @@ | ||
| { | ||
| "_dashboard_memory_usage_mb": 108.838912, | ||
| "_dashboard_memory_usage_mb": 104.996864, | ||
| "_dashboard_test_success": true, | ||
| "_peak_memory": 4.57, | ||
| "_peak_process_memory": "PID\tMEM\tCOMMAND\n3786\t2.08GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n6618\t0.81GiB\tpython distributed/test_many_actors.py\n3245\t0.36GiB\tvector --watch-config --log-format json --config-yaml /etc/vector/vector.yaml\n4000\t0.25GiB\tray-dashboard-NodeHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import sp\n1389\t0.11GiB\t/app/product/go/infra/anyscaled/anyscaled_/anyscaled startv2 --control_plane_url=https://console.any\n4496\t0.1GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/a\n3216\t0.09GiB\t/usr/bin/python3 /app/infra/dataplane/webterminal/webterminal_sidecar_image.binary.runfiles/product/\n4498\t0.09GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/_private/ru\n3919\t0.09GiB\t/home/ray/anaconda3/bin/python3.9 /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dash\n6383\t0.07GiB\tray::JobSupervisor", | ||
| "actors_per_second": 508.9808896382363, | ||
| "_peak_memory": 4.81, | ||
| "_peak_process_memory": "PID\tMEM\tCOMMAND\n1132\t7.8GiB\t/app/product/go/infra/anyscaled/anyscaled_/anyscaled startv2 --control_plane_url=https://console.any\n3490\t2.13GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n5530\t0.95GiB\tpython distributed/test_many_actors.py\n2919\t0.38GiB\tvector --watch-config --log-format json --config-yaml /etc/vector/vector.yaml\n3716\t0.26GiB\tray-dashboard-NodeHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import sp\n585\t0.2GiB\t/app/go/infra/anyscaled/anyscaled_/anyscaled_shim --cloud_provider=aws\n4196\t0.11GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/a\n3066\t0.1GiB\t/usr/bin/python3 /app/infra/dataplane/webterminal/webterminal_sidecar_image.binary.runfiles/product/\n3620\t0.09GiB\t/home/ray/anaconda3/bin/python3.9 /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dash\n4198\t0.09GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/_private/ru", | ||
| "actors_per_second": 387.1219957094043, | ||
| "num_actors": 10000, | ||
| "perf_metrics": [ | ||
| { | ||
| "perf_metric_name": "actors_per_second", | ||
| "perf_metric_type": "THROUGHPUT", | ||
| "perf_metric_value": 508.9808896382363 | ||
| "perf_metric_value": 387.1219957094043 | ||
| }, | ||
| { | ||
| "perf_metric_name": "dashboard_p50_latency_ms", | ||
| "perf_metric_type": "LATENCY", | ||
| "perf_metric_value": 11.744 | ||
| "perf_metric_value": 30.836 | ||
| }, | ||
| { | ||
| "perf_metric_name": "dashboard_p95_latency_ms", | ||
| "perf_metric_type": "LATENCY", | ||
| "perf_metric_value": 2876.107 | ||
| "perf_metric_value": 3829.61 | ||
| }, | ||
| { | ||
| "perf_metric_name": "dashboard_p99_latency_ms", | ||
| "perf_metric_type": "LATENCY", | ||
| "perf_metric_value": 4160.517 | ||
| "perf_metric_value": 4098.851 | ||
| } | ||
| ], | ||
| "success": "1", | ||
| "time": 19.64710307121277 | ||
| "time": 25.831650257110596 | ||
| } | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,14 +1,14 @@ | ||
| { | ||
| "_dashboard_memory_usage_mb": 98.254848, | ||
| "_dashboard_memory_usage_mb": 90.251264, | ||
| "_dashboard_test_success": true, | ||
| "_peak_memory": 2.33, | ||
| "_peak_process_memory": "PID\tMEM\tCOMMAND\n3580\t0.52GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n3098\t0.28GiB\tvector --watch-config --log-format json --config-yaml /etc/vector/vector.yaml\n5630\t0.17GiB\tpython distributed/test_many_tasks.py --num-tasks=1000\n3796\t0.13GiB\tray-dashboard-NodeHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import sp\n1458\t0.11GiB\t/app/product/go/infra/anyscaled/anyscaled_/anyscaled startv2 --control_plane_url=https://console.any\n4276\t0.11GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/a\n3020\t0.09GiB\t/usr/bin/python3 /app/infra/dataplane/webterminal/webterminal_sidecar_image.binary.runfiles/product/\n3713\t0.09GiB\t/home/ray/anaconda3/bin/python3.9 /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dash\n4278\t0.09GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/_private/ru\n5857\t0.09GiB\tray::StateAPIGeneratorActor.start", | ||
| "_peak_memory": 2.42, | ||
| "_peak_process_memory": "PID\tMEM\tCOMMAND\n3297\t0.64GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n2878\t0.29GiB\tvector --watch-config --log-format json --config-yaml /etc/vector/vector.yaml\n5295\t0.17GiB\tpython distributed/test_many_tasks.py --num-tasks=1000\n3510\t0.14GiB\tray-dashboard-NodeHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import sp\n1172\t0.13GiB\t/app/product/go/infra/anyscaled/anyscaled_/anyscaled startv2 --control_plane_url=https://console.any\n3996\t0.11GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/a\n2813\t0.1GiB\t/usr/bin/python3 /app/infra/dataplane/webterminal/webterminal_sidecar_image.binary.runfiles/product/\n3998\t0.09GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/_private/ru\n3427\t0.09GiB\t/home/ray/anaconda3/bin/python3.9 /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dash\n5522\t0.08GiB\tray::StateAPIGeneratorActor.start", | ||
| "num_tasks": 1000, | ||
| "perf_metrics": [ | ||
| { | ||
| "perf_metric_name": "tasks_per_second", | ||
| "perf_metric_type": "THROUGHPUT", | ||
| "perf_metric_value": 190.09519026949954 | ||
| "perf_metric_value": 355.96107999624206 | ||
| }, | ||
| { | ||
| "perf_metric_name": "used_cpus_by_deadline", | ||
|
|
@@ -18,21 +18,20 @@ | |
| { | ||
| "perf_metric_name": "dashboard_p50_latency_ms", | ||
| "perf_metric_type": "LATENCY", | ||
| "perf_metric_value": 7.136 | ||
| "perf_metric_value": 6.475 | ||
| }, | ||
| { | ||
| "perf_metric_name": "dashboard_p95_latency_ms", | ||
| "perf_metric_type": "LATENCY", | ||
| "perf_metric_value": 13.982 | ||
| "perf_metric_value": 17.834 | ||
| }, | ||
| { | ||
| "perf_metric_name": "dashboard_p99_latency_ms", | ||
| "perf_metric_type": "LATENCY", | ||
| "perf_metric_value": 49.716 | ||
| "perf_metric_value": 67.355 | ||
| } | ||
| ], | ||
| "success": "1", | ||
|
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||
| "tasks_per_second": 190.09519026949954, | ||
| "time": 305.26052236557007, | ||
| "tasks_per_second": 355.96107999624206, | ||
| "time": 302.80929589271545, | ||
| "used_cpus": 250.0 | ||
| } | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,32 +1,31 @@ | ||
| { | ||
| "_dashboard_memory_usage_mb": 90.76736, | ||
| "_dashboard_memory_usage_mb": 99.979264, | ||
| "_dashboard_test_success": true, | ||
| "_peak_memory": 2.81, | ||
| "_peak_process_memory": "PID\tMEM\tCOMMAND\n1393\t7.16GiB\t/app/product/go/infra/anyscaled/anyscaled_/anyscaled startv2 --control_plane_url=https://console.any\n3778\t0.97GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n3247\t0.42GiB\tvector --watch-config --log-format json --config-yaml /etc/vector/vector.yaml\n5319\t0.36GiB\tpython distributed/test_many_pgs.py\n600\t0.2GiB\t/app/go/infra/anyscaled/anyscaled_/anyscaled_shim --cloud_provider=aws\n4001\t0.11GiB\tray-dashboard-NodeHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import sp\n3044\t0.11GiB\t/app/go/infra/activityprobe/activityprobe ray --port=5903 --metrics_server_port=9092 --raylet_addr=l\n4486\t0.1GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/a\n3232\t0.09GiB\t/usr/bin/python3 /app/infra/dataplane/webterminal/webterminal_sidecar_image.binary.runfiles/product/\n4488\t0.09GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/_private/ru", | ||
| "_peak_memory": 2.94, | ||
| "_peak_process_memory": "PID\tMEM\tCOMMAND\n1126\t7.66GiB\t/app/product/go/infra/anyscaled/anyscaled_/anyscaled startv2 --control_plane_url=https://console.any\n3490\t1.1GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n5004\t0.36GiB\tpython distributed/test_many_pgs.py\n3037\t0.34GiB\tvector --watch-config --log-format json --config-yaml /etc/vector/vector.yaml\n583\t0.19GiB\t/app/go/infra/anyscaled/anyscaled_/anyscaled_shim --cloud_provider=aws\n4206\t0.11GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/a\n3720\t0.11GiB\tray-dashboard-NodeHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import sp\n2924\t0.1GiB\t/usr/bin/python3 /app/infra/dataplane/webterminal/webterminal_sidecar_image.binary.runfiles/product/\n4208\t0.09GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/_private/ru\n3623\t0.08GiB\t/home/ray/anaconda3/bin/python3.9 /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dash", | ||
| "num_pgs": 1000, | ||
| "perf_metrics": [ | ||
| { | ||
| "perf_metric_name": "pgs_per_second", | ||
| "perf_metric_type": "THROUGHPUT", | ||
| "perf_metric_value": 12.47149444972938 | ||
| "perf_metric_value": 17.897951502183457 | ||
| }, | ||
| { | ||
| "perf_metric_name": "dashboard_p50_latency_ms", | ||
| "perf_metric_type": "LATENCY", | ||
| "perf_metric_value": 4.935 | ||
| "perf_metric_value": 4.128 | ||
| }, | ||
| { | ||
| "perf_metric_name": "dashboard_p95_latency_ms", | ||
| "perf_metric_type": "LATENCY", | ||
| "perf_metric_value": 11.336 | ||
| "perf_metric_value": 54.16 | ||
| }, | ||
| { | ||
| "perf_metric_name": "dashboard_p99_latency_ms", | ||
| "perf_metric_type": "LATENCY", | ||
| "perf_metric_value": 232.641 | ||
| "perf_metric_value": 1212.615 | ||
| } | ||
| ], | ||
| "pgs_per_second": 12.47149444972938, | ||
| "success": "1", | ||
|
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||
| "time": 80.18285250663757 | ||
| "pgs_per_second": 17.897951502183457, | ||
| "time": 55.872315883636475 | ||
| } | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,14 +1,14 @@ | ||
| { | ||
| "_dashboard_memory_usage_mb": 95.678464, | ||
| "_dashboard_memory_usage_mb": 104.124416, | ||
| "_dashboard_test_success": true, | ||
| "_peak_memory": 4.01, | ||
| "_peak_process_memory": "PID\tMEM\tCOMMAND\n3780\t1.1GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n5801\t0.75GiB\tpython distributed/test_many_tasks.py --num-tasks=10000\n3998\t0.48GiB\tray-dashboard-NodeHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import sp\n3294\t0.27GiB\tvector --watch-config --log-format json --config-yaml /etc/vector/vector.yaml\n4001\t0.18GiB\tray-dashboard-StateHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import s\n4493\t0.11GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/a\n1403\t0.1GiB\t/app/product/go/infra/anyscaled/anyscaled_/anyscaled startv2 --control_plane_url=https://console.any\n3184\t0.09GiB\t/usr/bin/python3 /app/infra/dataplane/webterminal/webterminal_sidecar_image.binary.runfiles/product/\n3916\t0.09GiB\t/home/ray/anaconda3/bin/python3.9 /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dash\n4495\t0.09GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/_private/ru", | ||
| "_peak_memory": 6.24, | ||
| "_peak_process_memory": "PID\tMEM\tCOMMAND\n3751\t2.0GiB\tray-dashboard-NodeHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import sp\n3524\t1.95GiB\t/home/ray/anaconda3/lib/python3.9/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n5011\t0.76GiB\tpython distributed/test_many_tasks.py --num-tasks=10000\n3015\t0.27GiB\tvector --watch-config --log-format json --config-yaml /etc/vector/vector.yaml\n582\t0.19GiB\t/app/go/infra/anyscaled/anyscaled_/anyscaled_shim --cloud_provider=aws\n1163\t0.11GiB\t/app/product/go/infra/anyscaled/anyscaled_/anyscaled startv2 --control_plane_url=https://console.any\n3754\t0.11GiB\tray-dashboard-StateHead-0 (/home/ray/anaconda3/bin/python3.9 -c \"from multiprocessing.spawn import s\n4237\t0.11GiB\t/home/ray/anaconda3/bin/python3.9 -u /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/a\n3147\t0.1GiB\t/usr/bin/python3 /app/infra/dataplane/webterminal/webterminal_sidecar_image.binary.runfiles/product/\n3654\t0.09GiB\t/home/ray/anaconda3/bin/python3.9 /home/ray/anaconda3/lib/python3.9/site-packages/ray/dashboard/dash", | ||
| "num_tasks": 10000, | ||
| "perf_metrics": [ | ||
| { | ||
| "perf_metric_name": "tasks_per_second", | ||
| "perf_metric_type": "THROUGHPUT", | ||
| "perf_metric_value": 368.5098005212305 | ||
| "perf_metric_value": 571.2270630108624 | ||
| }, | ||
| { | ||
| "perf_metric_name": "used_cpus_by_deadline", | ||
|
|
@@ -18,21 +18,20 @@ | |
| { | ||
| "perf_metric_name": "dashboard_p50_latency_ms", | ||
| "perf_metric_type": "LATENCY", | ||
| "perf_metric_value": 6.4 | ||
| "perf_metric_value": 6.284 | ||
| }, | ||
| { | ||
| "perf_metric_name": "dashboard_p95_latency_ms", | ||
| "perf_metric_type": "LATENCY", | ||
| "perf_metric_value": 487.355 | ||
| "perf_metric_value": 947.76 | ||
| }, | ||
| { | ||
| "perf_metric_name": "dashboard_p99_latency_ms", | ||
| "perf_metric_type": "LATENCY", | ||
| "perf_metric_value": 749.022 | ||
| "perf_metric_value": 3041.184 | ||
| } | ||
| ], | ||
| "success": "1", | ||
|
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||
| "tasks_per_second": 368.5098005212305, | ||
| "time": 327.1363203525543, | ||
| "tasks_per_second": 571.2270630108624, | ||
| "time": 317.5061733722687, | ||
| "used_cpus": 2500.0 | ||
| } | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1 +1 @@ | ||
| {"release_version": "2.50.0"} | ||
| {"release_version": "2.51.0"} |
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I see that the
successfield is being removed from this and several other benchmark result files. This is a good cleanup, as its type (string vs. number) and presence were inconsistent across files. However,release/perf_metrics/scalability/single_node.jsonstill contains this field. To complete the cleanup, it should probably be removed from there as well for consistency.