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GGitHubAdd perf metrics for 2.47.0 (#53668)
1d15cf12创建于 2025年6月11日历史提交
文件最后提交记录最后更新时间
benchmarks
Add perf metrics for 2.47.0 (#53668) REGRESSION 12.82%: tasks_per_second (THROUGHPUT) regresses from 221.2222291023174 to 192.87246715163326 in benchmarks/many_nodes.json REGRESSION 12.73%: actors_per_second (THROUGHPUT) regresses from 634.2824761754516 to 553.5098466276525 in benchmarks/many_actors.json REGRESSION 12.26%: client__get_calls (THROUGHPUT) regresses from 1160.5254002780266 to 1018.2939193917422 in microbenchmark.json REGRESSION 5.15%: multi_client_put_gigabytes (THROUGHPUT) regresses from 39.896743394372585 to 37.84234603653026 in microbenchmark.json REGRESSION 4.04%: client__tasks_and_get_batch (THROUGHPUT) regresses from 0.9480091293556955 to 0.909684480871914 in microbenchmark.json REGRESSION 3.72%: 1_n_actor_calls_async (THROUGHPUT) regresses from 8318.094433102775 to 8008.806358661164 in microbenchmark.json REGRESSION 3.01%: 1_1_actor_calls_sync (THROUGHPUT) regresses from 2020.4236901532247 to 1959.5608579309087 in microbenchmark.json REGRESSION 2.80%: n_n_async_actor_calls_async (THROUGHPUT) regresses from 23716.451989299432 to 23052.03512506016 in microbenchmark.json REGRESSION 2.71%: single_client_put_gigabytes (THROUGHPUT) regresses from 20.105537951105227 to 19.561225172916046 in microbenchmark.json REGRESSION 2.69%: pgs_per_second (THROUGHPUT) regresses from 13.650631601393242 to 13.282795863244178 in benchmarks/many_pgs.json REGRESSION 1.35%: single_client_tasks_async (THROUGHPUT) regresses from 8081.168521067462 to 7971.849053459262 in microbenchmark.json REGRESSION 1.31%: n_n_actor_calls_async (THROUGHPUT) regresses from 27465.39608393524 to 27105.63998087682 in microbenchmark.json REGRESSION 1.09%: client__tasks_and_put_batch (THROUGHPUT) regresses from 14569.862277318796 to 14411.155262801181 in microbenchmark.json REGRESSION 1.05%: 1_1_async_actor_calls_sync (THROUGHPUT) regresses from 1483.660979687764 to 1468.0999827232097 in microbenchmark.json REGRESSION 0.92%: single_client_get_object_containing_10k_refs (THROUGHPUT) regresses from 12.796724102063072 to 12.67868528378648 in microbenchmark.json REGRESSION 0.88%: placement_group_create/removal (THROUGHPUT) regresses from 768.9082534403586 to 762.110356621388 in microbenchmark.json REGRESSION 0.87%: single_client_tasks_sync (THROUGHPUT) regresses from 969.5757440611114 to 961.1131766783709 in microbenchmark.json REGRESSION 0.35%: client__1_1_actor_calls_async (THROUGHPUT) regresses from 1069.1602586173547 to 1065.4228066614364 in microbenchmark.json REGRESSION 0.23%: client__put_gigabytes (THROUGHPUT) regresses from 0.1529268174148042 to 0.1525808986433169 in microbenchmark.json REGRESSION 0.05%: single_client_put_calls_Plasma_Store (THROUGHPUT) regresses from 5113.112753017668 to 5110.344528620948 in microbenchmark.json REGRESSION 49.81%: dashboard_p99_latency_ms (LATENCY) regresses from 275.082 to 412.087 in benchmarks/many_pgs.json REGRESSION 37.19%: dashboard_p95_latency_ms (LATENCY) regresses from 6.696 to 9.186 in benchmarks/many_pgs.json REGRESSION 36.35%: dashboard_p95_latency_ms (LATENCY) regresses from 2283.949 to 3114.217 in benchmarks/many_actors.json REGRESSION 13.04%: dashboard_p99_latency_ms (LATENCY) regresses from 675.061 to 763.093 in benchmarks/many_tasks.json REGRESSION 11.46%: dashboard_p50_latency_ms (LATENCY) regresses from 3.856 to 4.298 in benchmarks/many_pgs.json REGRESSION 11.23%: dashboard_p95_latency_ms (LATENCY) regresses from 437.195 to 486.283 in benchmarks/many_tasks.json REGRESSION 8.97%: 107374182400_large_object_time (LATENCY) regresses from 29.323037406000026 to 31.951921509999977 in scalability/single_node.json REGRESSION 6.24%: avg_iteration_time (LATENCY) regresses from 1.1950538015365602 to 1.2696449542045594 in stress_tests/stress_test_dead_actors.json REGRESSION 5.86%: dashboard_p50_latency_ms (LATENCY) regresses from 8.293 to 8.779 in benchmarks/many_actors.json REGRESSION 2.91%: time_to_broadcast_1073741824_bytes_to_50_nodes (LATENCY) regresses from 12.241764013000008 to 12.597426240999994 in scalability/object_store.json REGRESSION 1.02%: avg_pg_remove_time_ms (LATENCY) regresses from 1.2291068678679091 to 1.2416502777781075 in stress_tests/stress_test_placement_group.json REGRESSION 0.57%: dashboard_p50_latency_ms (LATENCY) regresses from 5.658 to 5.69 in benchmarks/many_nodes.json REGRESSION 0.34%: 10000_args_time (LATENCY) regresses from 18.764070391999994 to 18.828636121000002 in scalability/single_node.json Signed-off-by: Lonnie Liu <lonnie@anyscale.com> Co-authored-by: Lonnie Liu <lonnie@anyscale.com>
1 年前
scalability
Add perf metrics for 2.47.0 (#53668) REGRESSION 12.82%: tasks_per_second (THROUGHPUT) regresses from 221.2222291023174 to 192.87246715163326 in benchmarks/many_nodes.json REGRESSION 12.73%: actors_per_second (THROUGHPUT) regresses from 634.2824761754516 to 553.5098466276525 in benchmarks/many_actors.json REGRESSION 12.26%: client__get_calls (THROUGHPUT) regresses from 1160.5254002780266 to 1018.2939193917422 in microbenchmark.json REGRESSION 5.15%: multi_client_put_gigabytes (THROUGHPUT) regresses from 39.896743394372585 to 37.84234603653026 in microbenchmark.json REGRESSION 4.04%: client__tasks_and_get_batch (THROUGHPUT) regresses from 0.9480091293556955 to 0.909684480871914 in microbenchmark.json REGRESSION 3.72%: 1_n_actor_calls_async (THROUGHPUT) regresses from 8318.094433102775 to 8008.806358661164 in microbenchmark.json REGRESSION 3.01%: 1_1_actor_calls_sync (THROUGHPUT) regresses from 2020.4236901532247 to 1959.5608579309087 in microbenchmark.json REGRESSION 2.80%: n_n_async_actor_calls_async (THROUGHPUT) regresses from 23716.451989299432 to 23052.03512506016 in microbenchmark.json REGRESSION 2.71%: single_client_put_gigabytes (THROUGHPUT) regresses from 20.105537951105227 to 19.561225172916046 in microbenchmark.json REGRESSION 2.69%: pgs_per_second (THROUGHPUT) regresses from 13.650631601393242 to 13.282795863244178 in benchmarks/many_pgs.json REGRESSION 1.35%: single_client_tasks_async (THROUGHPUT) regresses from 8081.168521067462 to 7971.849053459262 in microbenchmark.json REGRESSION 1.31%: n_n_actor_calls_async (THROUGHPUT) regresses from 27465.39608393524 to 27105.63998087682 in microbenchmark.json REGRESSION 1.09%: client__tasks_and_put_batch (THROUGHPUT) regresses from 14569.862277318796 to 14411.155262801181 in microbenchmark.json REGRESSION 1.05%: 1_1_async_actor_calls_sync (THROUGHPUT) regresses from 1483.660979687764 to 1468.0999827232097 in microbenchmark.json REGRESSION 0.92%: single_client_get_object_containing_10k_refs (THROUGHPUT) regresses from 12.796724102063072 to 12.67868528378648 in microbenchmark.json REGRESSION 0.88%: placement_group_create/removal (THROUGHPUT) regresses from 768.9082534403586 to 762.110356621388 in microbenchmark.json REGRESSION 0.87%: single_client_tasks_sync (THROUGHPUT) regresses from 969.5757440611114 to 961.1131766783709 in microbenchmark.json REGRESSION 0.35%: client__1_1_actor_calls_async (THROUGHPUT) regresses from 1069.1602586173547 to 1065.4228066614364 in microbenchmark.json REGRESSION 0.23%: client__put_gigabytes (THROUGHPUT) regresses from 0.1529268174148042 to 0.1525808986433169 in microbenchmark.json REGRESSION 0.05%: single_client_put_calls_Plasma_Store (THROUGHPUT) regresses from 5113.112753017668 to 5110.344528620948 in microbenchmark.json REGRESSION 49.81%: dashboard_p99_latency_ms (LATENCY) regresses from 275.082 to 412.087 in benchmarks/many_pgs.json REGRESSION 37.19%: dashboard_p95_latency_ms (LATENCY) regresses from 6.696 to 9.186 in benchmarks/many_pgs.json REGRESSION 36.35%: dashboard_p95_latency_ms (LATENCY) regresses from 2283.949 to 3114.217 in benchmarks/many_actors.json REGRESSION 13.04%: dashboard_p99_latency_ms (LATENCY) regresses from 675.061 to 763.093 in benchmarks/many_tasks.json REGRESSION 11.46%: dashboard_p50_latency_ms (LATENCY) regresses from 3.856 to 4.298 in benchmarks/many_pgs.json REGRESSION 11.23%: dashboard_p95_latency_ms (LATENCY) regresses from 437.195 to 486.283 in benchmarks/many_tasks.json REGRESSION 8.97%: 107374182400_large_object_time (LATENCY) regresses from 29.323037406000026 to 31.951921509999977 in scalability/single_node.json REGRESSION 6.24%: avg_iteration_time (LATENCY) regresses from 1.1950538015365602 to 1.2696449542045594 in stress_tests/stress_test_dead_actors.json REGRESSION 5.86%: dashboard_p50_latency_ms (LATENCY) regresses from 8.293 to 8.779 in benchmarks/many_actors.json REGRESSION 2.91%: time_to_broadcast_1073741824_bytes_to_50_nodes (LATENCY) regresses from 12.241764013000008 to 12.597426240999994 in scalability/object_store.json REGRESSION 1.02%: avg_pg_remove_time_ms (LATENCY) regresses from 1.2291068678679091 to 1.2416502777781075 in stress_tests/stress_test_placement_group.json REGRESSION 0.57%: dashboard_p50_latency_ms (LATENCY) regresses from 5.658 to 5.69 in benchmarks/many_nodes.json REGRESSION 0.34%: 10000_args_time (LATENCY) regresses from 18.764070391999994 to 18.828636121000002 in scalability/single_node.json Signed-off-by: Lonnie Liu <lonnie@anyscale.com> Co-authored-by: Lonnie Liu <lonnie@anyscale.com>
1 年前
stress_tests
Add perf metrics for 2.47.0 (#53668) REGRESSION 12.82%: tasks_per_second (THROUGHPUT) regresses from 221.2222291023174 to 192.87246715163326 in benchmarks/many_nodes.json REGRESSION 12.73%: actors_per_second (THROUGHPUT) regresses from 634.2824761754516 to 553.5098466276525 in benchmarks/many_actors.json REGRESSION 12.26%: client__get_calls (THROUGHPUT) regresses from 1160.5254002780266 to 1018.2939193917422 in microbenchmark.json REGRESSION 5.15%: multi_client_put_gigabytes (THROUGHPUT) regresses from 39.896743394372585 to 37.84234603653026 in microbenchmark.json REGRESSION 4.04%: client__tasks_and_get_batch (THROUGHPUT) regresses from 0.9480091293556955 to 0.909684480871914 in microbenchmark.json REGRESSION 3.72%: 1_n_actor_calls_async (THROUGHPUT) regresses from 8318.094433102775 to 8008.806358661164 in microbenchmark.json REGRESSION 3.01%: 1_1_actor_calls_sync (THROUGHPUT) regresses from 2020.4236901532247 to 1959.5608579309087 in microbenchmark.json REGRESSION 2.80%: n_n_async_actor_calls_async (THROUGHPUT) regresses from 23716.451989299432 to 23052.03512506016 in microbenchmark.json REGRESSION 2.71%: single_client_put_gigabytes (THROUGHPUT) regresses from 20.105537951105227 to 19.561225172916046 in microbenchmark.json REGRESSION 2.69%: pgs_per_second (THROUGHPUT) regresses from 13.650631601393242 to 13.282795863244178 in benchmarks/many_pgs.json REGRESSION 1.35%: single_client_tasks_async (THROUGHPUT) regresses from 8081.168521067462 to 7971.849053459262 in microbenchmark.json REGRESSION 1.31%: n_n_actor_calls_async (THROUGHPUT) regresses from 27465.39608393524 to 27105.63998087682 in microbenchmark.json REGRESSION 1.09%: client__tasks_and_put_batch (THROUGHPUT) regresses from 14569.862277318796 to 14411.155262801181 in microbenchmark.json REGRESSION 1.05%: 1_1_async_actor_calls_sync (THROUGHPUT) regresses from 1483.660979687764 to 1468.0999827232097 in microbenchmark.json REGRESSION 0.92%: single_client_get_object_containing_10k_refs (THROUGHPUT) regresses from 12.796724102063072 to 12.67868528378648 in microbenchmark.json REGRESSION 0.88%: placement_group_create/removal (THROUGHPUT) regresses from 768.9082534403586 to 762.110356621388 in microbenchmark.json REGRESSION 0.87%: single_client_tasks_sync (THROUGHPUT) regresses from 969.5757440611114 to 961.1131766783709 in microbenchmark.json REGRESSION 0.35%: client__1_1_actor_calls_async (THROUGHPUT) regresses from 1069.1602586173547 to 1065.4228066614364 in microbenchmark.json REGRESSION 0.23%: client__put_gigabytes (THROUGHPUT) regresses from 0.1529268174148042 to 0.1525808986433169 in microbenchmark.json REGRESSION 0.05%: single_client_put_calls_Plasma_Store (THROUGHPUT) regresses from 5113.112753017668 to 5110.344528620948 in microbenchmark.json REGRESSION 49.81%: dashboard_p99_latency_ms (LATENCY) regresses from 275.082 to 412.087 in benchmarks/many_pgs.json REGRESSION 37.19%: dashboard_p95_latency_ms (LATENCY) regresses from 6.696 to 9.186 in benchmarks/many_pgs.json REGRESSION 36.35%: dashboard_p95_latency_ms (LATENCY) regresses from 2283.949 to 3114.217 in benchmarks/many_actors.json REGRESSION 13.04%: dashboard_p99_latency_ms (LATENCY) regresses from 675.061 to 763.093 in benchmarks/many_tasks.json REGRESSION 11.46%: dashboard_p50_latency_ms (LATENCY) regresses from 3.856 to 4.298 in benchmarks/many_pgs.json REGRESSION 11.23%: dashboard_p95_latency_ms (LATENCY) regresses from 437.195 to 486.283 in benchmarks/many_tasks.json REGRESSION 8.97%: 107374182400_large_object_time (LATENCY) regresses from 29.323037406000026 to 31.951921509999977 in scalability/single_node.json REGRESSION 6.24%: avg_iteration_time (LATENCY) regresses from 1.1950538015365602 to 1.2696449542045594 in stress_tests/stress_test_dead_actors.json REGRESSION 5.86%: dashboard_p50_latency_ms (LATENCY) regresses from 8.293 to 8.779 in benchmarks/many_actors.json REGRESSION 2.91%: time_to_broadcast_1073741824_bytes_to_50_nodes (LATENCY) regresses from 12.241764013000008 to 12.597426240999994 in scalability/object_store.json REGRESSION 1.02%: avg_pg_remove_time_ms (LATENCY) regresses from 1.2291068678679091 to 1.2416502777781075 in stress_tests/stress_test_placement_group.json REGRESSION 0.57%: dashboard_p50_latency_ms (LATENCY) regresses from 5.658 to 5.69 in benchmarks/many_nodes.json REGRESSION 0.34%: 10000_args_time (LATENCY) regresses from 18.764070391999994 to 18.828636121000002 in scalability/single_node.json Signed-off-by: Lonnie Liu <lonnie@anyscale.com> Co-authored-by: Lonnie Liu <lonnie@anyscale.com>
1 年前
metadata.json
Add perf metrics for 2.47.0 (#53668) REGRESSION 12.82%: tasks_per_second (THROUGHPUT) regresses from 221.2222291023174 to 192.87246715163326 in benchmarks/many_nodes.json REGRESSION 12.73%: actors_per_second (THROUGHPUT) regresses from 634.2824761754516 to 553.5098466276525 in benchmarks/many_actors.json REGRESSION 12.26%: client__get_calls (THROUGHPUT) regresses from 1160.5254002780266 to 1018.2939193917422 in microbenchmark.json REGRESSION 5.15%: multi_client_put_gigabytes (THROUGHPUT) regresses from 39.896743394372585 to 37.84234603653026 in microbenchmark.json REGRESSION 4.04%: client__tasks_and_get_batch (THROUGHPUT) regresses from 0.9480091293556955 to 0.909684480871914 in microbenchmark.json REGRESSION 3.72%: 1_n_actor_calls_async (THROUGHPUT) regresses from 8318.094433102775 to 8008.806358661164 in microbenchmark.json REGRESSION 3.01%: 1_1_actor_calls_sync (THROUGHPUT) regresses from 2020.4236901532247 to 1959.5608579309087 in microbenchmark.json REGRESSION 2.80%: n_n_async_actor_calls_async (THROUGHPUT) regresses from 23716.451989299432 to 23052.03512506016 in microbenchmark.json REGRESSION 2.71%: single_client_put_gigabytes (THROUGHPUT) regresses from 20.105537951105227 to 19.561225172916046 in microbenchmark.json REGRESSION 2.69%: pgs_per_second (THROUGHPUT) regresses from 13.650631601393242 to 13.282795863244178 in benchmarks/many_pgs.json REGRESSION 1.35%: single_client_tasks_async (THROUGHPUT) regresses from 8081.168521067462 to 7971.849053459262 in microbenchmark.json REGRESSION 1.31%: n_n_actor_calls_async (THROUGHPUT) regresses from 27465.39608393524 to 27105.63998087682 in microbenchmark.json REGRESSION 1.09%: client__tasks_and_put_batch (THROUGHPUT) regresses from 14569.862277318796 to 14411.155262801181 in microbenchmark.json REGRESSION 1.05%: 1_1_async_actor_calls_sync (THROUGHPUT) regresses from 1483.660979687764 to 1468.0999827232097 in microbenchmark.json REGRESSION 0.92%: single_client_get_object_containing_10k_refs (THROUGHPUT) regresses from 12.796724102063072 to 12.67868528378648 in microbenchmark.json REGRESSION 0.88%: placement_group_create/removal (THROUGHPUT) regresses from 768.9082534403586 to 762.110356621388 in microbenchmark.json REGRESSION 0.87%: single_client_tasks_sync (THROUGHPUT) regresses from 969.5757440611114 to 961.1131766783709 in microbenchmark.json REGRESSION 0.35%: client__1_1_actor_calls_async (THROUGHPUT) regresses from 1069.1602586173547 to 1065.4228066614364 in microbenchmark.json REGRESSION 0.23%: client__put_gigabytes (THROUGHPUT) regresses from 0.1529268174148042 to 0.1525808986433169 in microbenchmark.json REGRESSION 0.05%: single_client_put_calls_Plasma_Store (THROUGHPUT) regresses from 5113.112753017668 to 5110.344528620948 in microbenchmark.json REGRESSION 49.81%: dashboard_p99_latency_ms (LATENCY) regresses from 275.082 to 412.087 in benchmarks/many_pgs.json REGRESSION 37.19%: dashboard_p95_latency_ms (LATENCY) regresses from 6.696 to 9.186 in benchmarks/many_pgs.json REGRESSION 36.35%: dashboard_p95_latency_ms (LATENCY) regresses from 2283.949 to 3114.217 in benchmarks/many_actors.json REGRESSION 13.04%: dashboard_p99_latency_ms (LATENCY) regresses from 675.061 to 763.093 in benchmarks/many_tasks.json REGRESSION 11.46%: dashboard_p50_latency_ms (LATENCY) regresses from 3.856 to 4.298 in benchmarks/many_pgs.json REGRESSION 11.23%: dashboard_p95_latency_ms (LATENCY) regresses from 437.195 to 486.283 in benchmarks/many_tasks.json REGRESSION 8.97%: 107374182400_large_object_time (LATENCY) regresses from 29.323037406000026 to 31.951921509999977 in scalability/single_node.json REGRESSION 6.24%: avg_iteration_time (LATENCY) regresses from 1.1950538015365602 to 1.2696449542045594 in stress_tests/stress_test_dead_actors.json REGRESSION 5.86%: dashboard_p50_latency_ms (LATENCY) regresses from 8.293 to 8.779 in benchmarks/many_actors.json REGRESSION 2.91%: time_to_broadcast_1073741824_bytes_to_50_nodes (LATENCY) regresses from 12.241764013000008 to 12.597426240999994 in scalability/object_store.json REGRESSION 1.02%: avg_pg_remove_time_ms (LATENCY) regresses from 1.2291068678679091 to 1.2416502777781075 in stress_tests/stress_test_placement_group.json REGRESSION 0.57%: dashboard_p50_latency_ms (LATENCY) regresses from 5.658 to 5.69 in benchmarks/many_nodes.json REGRESSION 0.34%: 10000_args_time (LATENCY) regresses from 18.764070391999994 to 18.828636121000002 in scalability/single_node.json Signed-off-by: Lonnie Liu <lonnie@anyscale.com> Co-authored-by: Lonnie Liu <lonnie@anyscale.com>
1 年前
microbenchmark.json
Add perf metrics for 2.47.0 (#53668) REGRESSION 12.82%: tasks_per_second (THROUGHPUT) regresses from 221.2222291023174 to 192.87246715163326 in benchmarks/many_nodes.json REGRESSION 12.73%: actors_per_second (THROUGHPUT) regresses from 634.2824761754516 to 553.5098466276525 in benchmarks/many_actors.json REGRESSION 12.26%: client__get_calls (THROUGHPUT) regresses from 1160.5254002780266 to 1018.2939193917422 in microbenchmark.json REGRESSION 5.15%: multi_client_put_gigabytes (THROUGHPUT) regresses from 39.896743394372585 to 37.84234603653026 in microbenchmark.json REGRESSION 4.04%: client__tasks_and_get_batch (THROUGHPUT) regresses from 0.9480091293556955 to 0.909684480871914 in microbenchmark.json REGRESSION 3.72%: 1_n_actor_calls_async (THROUGHPUT) regresses from 8318.094433102775 to 8008.806358661164 in microbenchmark.json REGRESSION 3.01%: 1_1_actor_calls_sync (THROUGHPUT) regresses from 2020.4236901532247 to 1959.5608579309087 in microbenchmark.json REGRESSION 2.80%: n_n_async_actor_calls_async (THROUGHPUT) regresses from 23716.451989299432 to 23052.03512506016 in microbenchmark.json REGRESSION 2.71%: single_client_put_gigabytes (THROUGHPUT) regresses from 20.105537951105227 to 19.561225172916046 in microbenchmark.json REGRESSION 2.69%: pgs_per_second (THROUGHPUT) regresses from 13.650631601393242 to 13.282795863244178 in benchmarks/many_pgs.json REGRESSION 1.35%: single_client_tasks_async (THROUGHPUT) regresses from 8081.168521067462 to 7971.849053459262 in microbenchmark.json REGRESSION 1.31%: n_n_actor_calls_async (THROUGHPUT) regresses from 27465.39608393524 to 27105.63998087682 in microbenchmark.json REGRESSION 1.09%: client__tasks_and_put_batch (THROUGHPUT) regresses from 14569.862277318796 to 14411.155262801181 in microbenchmark.json REGRESSION 1.05%: 1_1_async_actor_calls_sync (THROUGHPUT) regresses from 1483.660979687764 to 1468.0999827232097 in microbenchmark.json REGRESSION 0.92%: single_client_get_object_containing_10k_refs (THROUGHPUT) regresses from 12.796724102063072 to 12.67868528378648 in microbenchmark.json REGRESSION 0.88%: placement_group_create/removal (THROUGHPUT) regresses from 768.9082534403586 to 762.110356621388 in microbenchmark.json REGRESSION 0.87%: single_client_tasks_sync (THROUGHPUT) regresses from 969.5757440611114 to 961.1131766783709 in microbenchmark.json REGRESSION 0.35%: client__1_1_actor_calls_async (THROUGHPUT) regresses from 1069.1602586173547 to 1065.4228066614364 in microbenchmark.json REGRESSION 0.23%: client__put_gigabytes (THROUGHPUT) regresses from 0.1529268174148042 to 0.1525808986433169 in microbenchmark.json REGRESSION 0.05%: single_client_put_calls_Plasma_Store (THROUGHPUT) regresses from 5113.112753017668 to 5110.344528620948 in microbenchmark.json REGRESSION 49.81%: dashboard_p99_latency_ms (LATENCY) regresses from 275.082 to 412.087 in benchmarks/many_pgs.json REGRESSION 37.19%: dashboard_p95_latency_ms (LATENCY) regresses from 6.696 to 9.186 in benchmarks/many_pgs.json REGRESSION 36.35%: dashboard_p95_latency_ms (LATENCY) regresses from 2283.949 to 3114.217 in benchmarks/many_actors.json REGRESSION 13.04%: dashboard_p99_latency_ms (LATENCY) regresses from 675.061 to 763.093 in benchmarks/many_tasks.json REGRESSION 11.46%: dashboard_p50_latency_ms (LATENCY) regresses from 3.856 to 4.298 in benchmarks/many_pgs.json REGRESSION 11.23%: dashboard_p95_latency_ms (LATENCY) regresses from 437.195 to 486.283 in benchmarks/many_tasks.json REGRESSION 8.97%: 107374182400_large_object_time (LATENCY) regresses from 29.323037406000026 to 31.951921509999977 in scalability/single_node.json REGRESSION 6.24%: avg_iteration_time (LATENCY) regresses from 1.1950538015365602 to 1.2696449542045594 in stress_tests/stress_test_dead_actors.json REGRESSION 5.86%: dashboard_p50_latency_ms (LATENCY) regresses from 8.293 to 8.779 in benchmarks/many_actors.json REGRESSION 2.91%: time_to_broadcast_1073741824_bytes_to_50_nodes (LATENCY) regresses from 12.241764013000008 to 12.597426240999994 in scalability/object_store.json REGRESSION 1.02%: avg_pg_remove_time_ms (LATENCY) regresses from 1.2291068678679091 to 1.2416502777781075 in stress_tests/stress_test_placement_group.json REGRESSION 0.57%: dashboard_p50_latency_ms (LATENCY) regresses from 5.658 to 5.69 in benchmarks/many_nodes.json REGRESSION 0.34%: 10000_args_time (LATENCY) regresses from 18.764070391999994 to 18.828636121000002 in scalability/single_node.json Signed-off-by: Lonnie Liu <lonnie@anyscale.com> Co-authored-by: Lonnie Liu <lonnie@anyscale.com>
1 年前