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add Benchmark (pytest) benchmark result for f3f11e8
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Dec 17, 2023
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@@ -1,5 +1,5 @@ | ||
window.BENCHMARK_DATA = { | ||
"lastUpdate": 1702805414222, | ||
"lastUpdate": 1702805917026, | ||
"repoUrl": "https://github.com/mlrun/storey", | ||
"entries": { | ||
"Benchmark": [ | ||
|
@@ -100963,6 +100963,184 @@ window.BENCHMARK_DATA = { | |
"extra": "mean: 6.287582989400005 sec\nrounds: 5" | ||
} | ||
] | ||
}, | ||
{ | ||
"commit": { | ||
"author": { | ||
"email": "[email protected]", | ||
"name": "Gal Topper", | ||
"username": "gtopper" | ||
}, | ||
"committer": { | ||
"email": "[email protected]", | ||
"name": "GitHub", | ||
"username": "web-flow" | ||
}, | ||
"distinct": true, | ||
"id": "f3f11e8f3999028f505d285c98d1f2960986afe6", | ||
"message": "Fix `CSVTarget` termination after having written nothing (#475)\n\n* Add error log to get original traceback\r\n\r\n* Log stack trace\r\n\r\n* Fix termination of unused `CSVTarget`\r\n\r\n* Add regression test\r\n\r\n* `self.context.logger` -> `self.logger`", | ||
"timestamp": "2023-12-17T17:27:06+08:00", | ||
"tree_id": "6e73c6861a285c2cd4777c017c8418af5ef741e9", | ||
"url": "https://github.com/mlrun/storey/commit/f3f11e8f3999028f505d285c98d1f2960986afe6" | ||
}, | ||
"date": 1702805914577, | ||
"tool": "pytest", | ||
"benches": [ | ||
{ | ||
"name": "bench/bench_flow.py::test_simple_flow_n_events[0]", | ||
"value": 1300.838663715838, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00006607306868563711", | ||
"extra": "mean: 768.7348384491478 usec\nrounds: 619" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_simple_flow_n_events[1]", | ||
"value": 1131.3508184144796, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00004684469225267232", | ||
"extra": "mean: 883.8991263571454 usec\nrounds: 1013" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_simple_flow_n_events[1000]", | ||
"value": 6.197725817437822, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00904428253077209", | ||
"extra": "mean: 161.3495061666678 msec\nrounds: 6" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_simple_flow_n_events[5000]", | ||
"value": 1.1334808272690722, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.012460908880576434", | ||
"extra": "mean: 882.23812519999 msec\nrounds: 5" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_simple_async_flow_n_events[0]", | ||
"value": 4513.671589022141, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00034584691352723104", | ||
"extra": "mean: 221.54912697506285 usec\nrounds: 3355" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_simple_async_flow_n_events[1]", | ||
"value": 3973.9205678184962, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.000029989271169865144", | ||
"extra": "mean: 251.64066139071198 usec\nrounds: 3222" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_simple_async_flow_n_events[1000]", | ||
"value": 68.63120774063152, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00011050085735300416", | ||
"extra": "mean: 14.570630955223205 msec\nrounds: 67" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_simple_async_flow_n_events[5000]", | ||
"value": 13.933120422845526, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.0004546698544370874", | ||
"extra": "mean: 71.7714316428604 msec\nrounds: 14" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_complete_flow_n_events[0]", | ||
"value": 1348.1868396596367, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00004630132545052379", | ||
"extra": "mean: 741.7369540949236 usec\nrounds: 1111" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_complete_flow_n_events[1]", | ||
"value": 1033.0654435250547, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00006580436499557277", | ||
"extra": "mean: 967.9928858986631 usec\nrounds: 929" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_complete_flow_n_events[1000]", | ||
"value": 5.197322507837248, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.015129507495487264", | ||
"extra": "mean: 192.40676299999868 msec\nrounds: 6" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_complete_flow_n_events[5000]", | ||
"value": 0.9851275079456832, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.02510008488905978", | ||
"extra": "mean: 1.0150970224000049 sec\nrounds: 5" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_aggregate_by_key_n_events[0]", | ||
"value": 1191.9334022125222, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00009152504878260305", | ||
"extra": "mean: 838.9730484469632 usec\nrounds: 805" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_aggregate_by_key_n_events[1]", | ||
"value": 409.88000898743223, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.007566170044041173", | ||
"extra": "mean: 2.439738406540979 msec\nrounds: 428" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_aggregate_by_key_n_events[1000]", | ||
"value": 3.962287213398652, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.05771832083644895", | ||
"extra": "mean: 252.3794834000057 msec\nrounds: 5" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_aggregate_by_key_n_events[5000]", | ||
"value": 0.810245933186476, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.05277934848732049", | ||
"extra": "mean: 1.2341931739999894 sec\nrounds: 5" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_batch_n_events[0]", | ||
"value": 1362.5045932924147, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.000043133844344734695", | ||
"extra": "mean: 733.9424798440914 usec\nrounds: 769" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_batch_n_events[1]", | ||
"value": 1034.3788455348285, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00006927908502504354", | ||
"extra": "mean: 966.7637774271642 usec\nrounds: 948" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_batch_n_events[1000]", | ||
"value": 6.138015789333573, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.010847223677402224", | ||
"extra": "mean: 162.91909866666762 msec\nrounds: 6" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_batch_n_events[5000]", | ||
"value": 1.1502796987217283, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.008780308181719957", | ||
"extra": "mean: 869.3537764000098 msec\nrounds: 5" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_aggregate_df_86420_events", | ||
"value": 0.12073435381457999, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.16951127368168445", | ||
"extra": "mean: 8.282646723199997 sec\nrounds: 5" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_aggregate_df_86420_events_basic", | ||
"value": 0.16589189111181818, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.21815213483846654", | ||
"extra": "mean: 6.028022185399993 sec\nrounds: 5" | ||
} | ||
] | ||
} | ||
] | ||
} | ||
|