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add pytest-benchmarks:ubuntu-22.04,psql_dos benchmark result for 83fc5cf
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github-action-benchmark committed Sep 17, 2023
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185 changes: 184 additions & 1 deletion dev/bench/ubuntu-22.04/psql_dos/data.js
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window.BENCHMARK_DATA = {
"lastUpdate": 1694891781621,
"lastUpdate": 1694986457434,
"repoUrl": "https://github.com/aiidateam/aiida-core",
"xAxis": "id",
"oneChartGroups": [],
Expand Down Expand Up @@ -14827,6 +14827,189 @@ window.BENCHMARK_DATA = {
"extra": "mean: 18.909 msec\nrounds: 100"
}
]
},
{
"cpu": {
"speed": "2.60",
"cores": 2,
"physicalCores": 2,
"processors": 1
},
"extra": {
"pythonVersion": "3.10.13",
"metadata": "postgres:12.14, rabbitmq:3.8.14-management"
},
"commit": {
"id": "83fc5cf69e8fcecba1f4c47ccb6599e6d78ba9dc",
"message": "`SqliteTempBackend`: Add support for reading from and writing to archives (#5658)\n\nTo this end, the `bulk_insert` and `bulk_update` are implemented. The\r\narchive creation and import functionality currently requires that the\r\nrepository of the storage backend uses a SHA256 hash for the keys of the\r\nobjects. This is not the case for the `SandboxRepositoryBackend` that\r\nthe `SqliteTempBackend` uses. Therefore, the `SandboxRepositoryBackend`\r\nis subclassed to `SandboxShaRepositoryBackend` which replaces the UUID\r\nkey of its parent and uses a SHA256 instead.",
"timestamp": "2023-09-17T23:25:29+02:00",
"url": "https://github.com/aiidateam/aiida-core/commit/83fc5cf69e8fcecba1f4c47ccb6599e6d78ba9dc",
"distinct": true,
"tree_id": "b489cf0e932853ef2e5001e1574b929851e62fb6"
},
"date": 1694986451374,
"benches": [
{
"name": "tests/benchmark/test_archive.py::test_export[no-objects]",
"value": 3.4549909338000933,
"unit": "iter/sec",
"range": "stddev: 0.0061336",
"group": "import-export",
"extra": "mean: 289.44 msec\nrounds: 12"
},
{
"name": "tests/benchmark/test_archive.py::test_export[with-objects]",
"value": 3.2386316698286954,
"unit": "iter/sec",
"range": "stddev: 0.062496",
"group": "import-export",
"extra": "mean: 308.77 msec\nrounds: 12"
},
{
"name": "tests/benchmark/test_archive.py::test_import[no-objects]",
"value": 4.206704440671207,
"unit": "iter/sec",
"range": "stddev: 0.062950",
"group": "import-export",
"extra": "mean: 237.72 msec\nrounds: 12"
},
{
"name": "tests/benchmark/test_archive.py::test_import[with-objects]",
"value": 4.175685047351675,
"unit": "iter/sec",
"range": "stddev: 0.065585",
"group": "import-export",
"extra": "mean: 239.48 msec\nrounds: 12"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_local[basic-loop]",
"value": 3.506281459932769,
"unit": "iter/sec",
"range": "stddev: 0.0031816",
"group": "engine",
"extra": "mean: 285.20 msec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_local[serial-wc-loop]",
"value": 0.7660290654279491,
"unit": "iter/sec",
"range": "stddev: 0.061597",
"group": "engine",
"extra": "mean: 1.3054 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_local[threaded-wc-loop]",
"value": 0.8690889648004761,
"unit": "iter/sec",
"range": "stddev: 0.082031",
"group": "engine",
"extra": "mean: 1.1506 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_local[serial-calcjob-loop]",
"value": 0.19216891752390194,
"unit": "iter/sec",
"range": "stddev: 0.11592",
"group": "engine",
"extra": "mean: 5.2038 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_local[threaded-calcjob-loop]",
"value": 0.2176607537872078,
"unit": "iter/sec",
"range": "stddev: 0.11479",
"group": "engine",
"extra": "mean: 4.5943 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_daemon[basic-loop]",
"value": 2.827268729712621,
"unit": "iter/sec",
"range": "stddev: 0.013094",
"group": "engine",
"extra": "mean: 353.70 msec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_daemon[serial-wc-loop]",
"value": 0.6242306893202312,
"unit": "iter/sec",
"range": "stddev: 0.052320",
"group": "engine",
"extra": "mean: 1.6020 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_daemon[threaded-wc-loop]",
"value": 0.7127008341480293,
"unit": "iter/sec",
"range": "stddev: 0.030978",
"group": "engine",
"extra": "mean: 1.4031 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_daemon[serial-calcjob-loop]",
"value": 0.1723666135559032,
"unit": "iter/sec",
"range": "stddev: 0.083285",
"group": "engine",
"extra": "mean: 5.8016 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_daemon[threaded-calcjob-loop]",
"value": 0.19665714066425816,
"unit": "iter/sec",
"range": "stddev: 0.058097",
"group": "engine",
"extra": "mean: 5.0850 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_nodes.py::test_store_backend",
"value": 373.47626399430766,
"unit": "iter/sec",
"range": "stddev: 0.00040181",
"group": "node",
"extra": "mean: 2.6775 msec\nrounds: 100"
},
{
"name": "tests/benchmark/test_nodes.py::test_store",
"value": 148.78182000783679,
"unit": "iter/sec",
"range": "stddev: 0.00026265",
"group": "node",
"extra": "mean: 6.7213 msec\nrounds: 130"
},
{
"name": "tests/benchmark/test_nodes.py::test_store_with_object",
"value": 85.36760968067613,
"unit": "iter/sec",
"range": "stddev: 0.00067383",
"group": "node",
"extra": "mean: 11.714 msec\nrounds: 100"
},
{
"name": "tests/benchmark/test_nodes.py::test_delete_backend",
"value": 243.1006734365627,
"unit": "iter/sec",
"range": "stddev: 0.00018951",
"group": "node",
"extra": "mean: 4.1135 msec\nrounds: 100"
},
{
"name": "tests/benchmark/test_nodes.py::test_delete",
"value": 56.74799193583849,
"unit": "iter/sec",
"range": "stddev: 0.0015092",
"group": "node",
"extra": "mean: 17.622 msec\nrounds: 100"
},
{
"name": "tests/benchmark/test_nodes.py::test_delete_with_object",
"value": 54.821397090818266,
"unit": "iter/sec",
"range": "stddev: 0.0015947",
"group": "node",
"extra": "mean: 18.241 msec\nrounds: 100"
}
]
}
]
}
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