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add Benchmark (pytest) benchmark result for 6599299
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Nov 28, 2023
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@@ -1,5 +1,5 @@ | ||
window.BENCHMARK_DATA = { | ||
"lastUpdate": 1701170778649, | ||
"lastUpdate": 1701170918792, | ||
"repoUrl": "https://github.com/mlrun/storey", | ||
"entries": { | ||
"Benchmark": [ | ||
|
@@ -99361,6 +99361,184 @@ window.BENCHMARK_DATA = { | |
"extra": "mean: 6.054807406600003 sec\nrounds: 5" | ||
} | ||
] | ||
}, | ||
{ | ||
"commit": { | ||
"author": { | ||
"email": "[email protected]", | ||
"name": "alxtkr77", | ||
"username": "alxtkr77" | ||
}, | ||
"committer": { | ||
"email": "[email protected]", | ||
"name": "GitHub", | ||
"username": "web-flow" | ||
}, | ||
"distinct": true, | ||
"id": "6599299541adbedc4ca9f578b219a1510954d032", | ||
"message": "Bump pyarrow version to 14.0.1 (#471)", | ||
"timestamp": "2023-11-28T13:23:11+02:00", | ||
"tree_id": "091bf10a784bfef27dbcfa830a6461c280c7fa31", | ||
"url": "https://github.com/mlrun/storey/commit/6599299541adbedc4ca9f578b219a1510954d032" | ||
}, | ||
"date": 1701170916342, | ||
"tool": "pytest", | ||
"benches": [ | ||
{ | ||
"name": "bench/bench_flow.py::test_simple_flow_n_events[0]", | ||
"value": 1246.3073557136183, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00007630614455621419", | ||
"extra": "mean: 802.37029446674 usec\nrounds: 506" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_simple_flow_n_events[1]", | ||
"value": 1111.1092242093498, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00004909487968088717", | ||
"extra": "mean: 900.0015283930222 usec\nrounds: 1039" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_simple_flow_n_events[1000]", | ||
"value": 5.705494567160171, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.011164009124031279", | ||
"extra": "mean: 175.2696437142934 msec\nrounds: 7" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_simple_flow_n_events[5000]", | ||
"value": 1.1069535083648716, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.01837149345827876", | ||
"extra": "mean: 903.3803068000054 msec\nrounds: 5" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_simple_async_flow_n_events[0]", | ||
"value": 4489.311626684286, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.000028452235469665357", | ||
"extra": "mean: 222.75129978860022 usec\nrounds: 2842" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_simple_async_flow_n_events[1]", | ||
"value": 3706.0397714093, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.0003862907422252563", | ||
"extra": "mean: 269.8298080108646 usec\nrounds: 2896" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_simple_async_flow_n_events[1000]", | ||
"value": 68.45256193063449, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.000112989608415952", | ||
"extra": "mean: 14.608657028985078 msec\nrounds: 69" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_simple_async_flow_n_events[5000]", | ||
"value": 13.881726881827237, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00038962520231600054", | ||
"extra": "mean: 72.03714699999709 msec\nrounds: 14" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_complete_flow_n_events[0]", | ||
"value": 1314.6272986620972, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.000047639184965671525", | ||
"extra": "mean: 760.6718657201969 usec\nrounds: 916" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_complete_flow_n_events[1]", | ||
"value": 1012.8620164186439, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00006198585905268573", | ||
"extra": "mean: 987.3013142855111 usec\nrounds: 980" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_complete_flow_n_events[1000]", | ||
"value": 5.157396326422979, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.012244462685282377", | ||
"extra": "mean: 193.89628733333572 msec\nrounds: 6" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_complete_flow_n_events[5000]", | ||
"value": 0.9653924340073311, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.04778005800526049", | ||
"extra": "mean: 1.0358481844000096 sec\nrounds: 5" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_aggregate_by_key_n_events[0]", | ||
"value": 1176.3803355609866, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00008035830614484176", | ||
"extra": "mean: 850.0652125599538 usec\nrounds: 621" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_aggregate_by_key_n_events[1]", | ||
"value": 350.2806417278197, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.01121153083419966", | ||
"extra": "mean: 2.854853739753722 msec\nrounds: 488" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_aggregate_by_key_n_events[1000]", | ||
"value": 4.165453624089411, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.006113264505842114", | ||
"extra": "mean: 240.0698916000067 msec\nrounds: 5" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_aggregate_by_key_n_events[5000]", | ||
"value": 0.8027024465108938, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.020020225708005622", | ||
"extra": "mean: 1.2457916433999912 sec\nrounds: 5" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_batch_n_events[0]", | ||
"value": 1271.3268394031784, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00007531292741998476", | ||
"extra": "mean: 786.5797912906864 usec\nrounds: 666" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_batch_n_events[1]", | ||
"value": 980.6049499083595, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00008813646647373786", | ||
"extra": "mean: 1.0197786581573476 msec\nrounds: 901" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_batch_n_events[1000]", | ||
"value": 5.765301744601407, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.0064717626342491955", | ||
"extra": "mean: 173.45145914286167 msec\nrounds: 7" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_batch_n_events[5000]", | ||
"value": 1.0748925070462891, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.019173485781436506", | ||
"extra": "mean: 930.3255846000013 msec\nrounds: 5" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_aggregate_df_86420_events", | ||
"value": 0.11713150688545602, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.05593395376865596", | ||
"extra": "mean: 8.537412576599985 sec\nrounds: 5" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_aggregate_df_86420_events_basic", | ||
"value": 0.1604081537683837, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.20531077468040343", | ||
"extra": "mean: 6.234097061200009 sec\nrounds: 5" | ||
} | ||
] | ||
} | ||
] | ||
} | ||
|