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add Benchmark (pytest) benchmark result for 1ede8e3
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Nov 2, 2023
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@@ -1,5 +1,5 @@ | ||
window.BENCHMARK_DATA = { | ||
"lastUpdate": 1698916240612, | ||
"lastUpdate": 1698921345634, | ||
"repoUrl": "https://github.com/mlrun/storey", | ||
"entries": { | ||
"Benchmark": [ | ||
|
@@ -97225,6 +97225,184 @@ window.BENCHMARK_DATA = { | |
"extra": "mean: 11.179225339599999 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": "1ede8e39d82f0f4b517f6fde0ba32f2a63c2ea64", | ||
"message": "ML-4879: Avoid keeping reference to events in `AggregateByKey` when cache is disabled (#463)\n\nFixes [ML-4879](https://jira.iguazeng.com/browse/ML-4879).\r\n\r\nCo-authored-by: Gal Topper <[email protected]>", | ||
"timestamp": "2023-11-02T17:05:48+08:00", | ||
"tree_id": "ada628c463bab80a58d33e5f5c395824f46d9579", | ||
"url": "https://github.com/mlrun/storey/commit/1ede8e39d82f0f4b517f6fde0ba32f2a63c2ea64" | ||
}, | ||
"date": 1698921341255, | ||
"tool": "pytest", | ||
"benches": [ | ||
{ | ||
"name": "bench/bench_flow.py::test_simple_flow_n_events[0]", | ||
"value": 1546.5307902941265, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00006469440418601802", | ||
"extra": "mean: 646.6085294104071 usec\nrounds: 17" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_simple_flow_n_events[1]", | ||
"value": 1178.7991424451743, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00009259806431880425", | ||
"extra": "mean: 848.3209428925334 usec\nrounds: 788" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_simple_flow_n_events[1000]", | ||
"value": 6.533212175349255, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.0024109131220968094", | ||
"extra": "mean: 153.0640629999961 msec\nrounds: 7" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_simple_flow_n_events[5000]", | ||
"value": 1.2374166421085286, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00551314271982773", | ||
"extra": "mean: 808.1352439999705 msec\nrounds: 5" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_simple_async_flow_n_events[0]", | ||
"value": 4851.362867627966, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.000041849228870062", | ||
"extra": "mean: 206.12764439303666 usec\nrounds: 2604" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_simple_async_flow_n_events[1]", | ||
"value": 4121.235041263773, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.000036272852594039505", | ||
"extra": "mean: 242.64570935351233 usec\nrounds: 1796" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_simple_async_flow_n_events[1000]", | ||
"value": 52.49878285105126, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00010733417736058974", | ||
"extra": "mean: 19.048060653847624 msec\nrounds: 52" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_simple_async_flow_n_events[5000]", | ||
"value": 10.601853273732866, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00030691713218424074", | ||
"extra": "mean: 94.32313145453524 msec\nrounds: 11" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_complete_flow_n_events[0]", | ||
"value": 1671.5847789890902, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00006876263685584961", | ||
"extra": "mean: 598.2346887632953 usec\nrounds: 890" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_complete_flow_n_events[1]", | ||
"value": 985.8006933482161, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00020801216008247837", | ||
"extra": "mean: 1.0144038310660513 msec\nrounds: 882" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_complete_flow_n_events[1000]", | ||
"value": 5.29070332434609, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00915980679819746", | ||
"extra": "mean: 189.01078716667521 msec\nrounds: 6" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_complete_flow_n_events[5000]", | ||
"value": 1.0728817646426962, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.023203726407374337", | ||
"extra": "mean: 932.0691551999971 msec\nrounds: 5" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_aggregate_by_key_n_events[0]", | ||
"value": 1529.8092116384532, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00012004948308015563", | ||
"extra": "mean: 653.6762835471372 usec\nrounds: 857" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_aggregate_by_key_n_events[1]", | ||
"value": 364.5108328763465, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.0061721982299854355", | ||
"extra": "mean: 2.7434026915168017 msec\nrounds: 389" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_aggregate_by_key_n_events[1000]", | ||
"value": 3.9845726876632175, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.0023933924429083778", | ||
"extra": "mean: 250.96794019999606 msec\nrounds: 5" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_aggregate_by_key_n_events[5000]", | ||
"value": 0.7891470426679248, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.053332290549784674", | ||
"extra": "mean: 1.2671909618000086 sec\nrounds: 5" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_batch_n_events[0]", | ||
"value": 1695.1711491948925, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00006050668347009261", | ||
"extra": "mean: 589.9109364119025 usec\nrounds: 975" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_batch_n_events[1]", | ||
"value": 941.912877323063, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.00010354569476740872", | ||
"extra": "mean: 1.0616693157885493 msec\nrounds: 19" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_batch_n_events[1000]", | ||
"value": 6.83818774457803, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.001815875137252204", | ||
"extra": "mean: 146.23757600000025 msec\nrounds: 7" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_batch_n_events[5000]", | ||
"value": 1.283028573139959, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.0023595238326358835", | ||
"extra": "mean: 779.4058690000156 msec\nrounds: 5" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_aggregate_df_86420_events", | ||
"value": 0.07907322583576246, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.13174186639450922", | ||
"extra": "mean: 12.646505684199997 sec\nrounds: 5" | ||
}, | ||
{ | ||
"name": "bench/bench_flow.py::test_aggregate_df_86420_events_basic", | ||
"value": 0.10350307578611255, | ||
"unit": "iter/sec", | ||
"range": "stddev: 0.5466721375798747", | ||
"extra": "mean: 9.661548629399999 sec\nrounds: 5" | ||
} | ||
] | ||
} | ||
] | ||
} | ||
|