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add pytest-benchmarks:ubuntu-22.04,psql_dos benchmark result for b47a566
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github-action-benchmark committed May 27, 2024
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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": 1716838547755,
"lastUpdate": 1716847328724,
"repoUrl": "https://github.com/aiidateam/aiida-core",
"xAxis": "id",
"oneChartGroups": [],
Expand Down Expand Up @@ -44107,6 +44107,189 @@ window.BENCHMARK_DATA = {
"extra": "mean: 22.269 msec\nrounds: 100"
}
]
},
{
"cpu": {
"speed": "3.18",
"cores": 4,
"physicalCores": 2,
"processors": 1
},
"extra": {
"pythonVersion": "3.10.14",
"metadata": "postgres:12.14, rabbitmq:3.8.14-management"
},
"commit": {
"id": "b47a56698e8fdf350a10c7abfd8ba00443fabd8d",
"message": "Devops: Move RabbitMQ CI to nightly and update versions (#6419)\n\nThe `rabbitmq.yml` was running a subset of the unit test suite against\r\na number of versions of RabbitMQ. The versions tested were very outdated\r\nand are not officially supported anymore. The versions are updated to\r\n3.11, 3.12, and 3.13.\r\n\r\nSince the introduction, the tests have never really failed, which is not\r\ntoo suprising as the code in `aiida-core` doesn't actually directly\r\ninterface with RabbitMQ. Rather this is done in `kiwipy`. Therefore, the\r\ntests are moved to the nightly workflow such that they are no longer\r\nrun on every push and PR, which is overkill.",
"timestamp": "2024-05-27T23:54:27+02:00",
"url": "https://github.com/aiidateam/aiida-core/commit/b47a56698e8fdf350a10c7abfd8ba00443fabd8d",
"distinct": true,
"tree_id": "e9dd3b0478337593183b59e8a706d5dd0fb55162"
},
"date": 1716847324302,
"benches": [
{
"name": "tests/benchmark/test_archive.py::test_export[no-objects]",
"value": 3.0077261024411253,
"unit": "iter/sec",
"range": "stddev: 0.055909",
"group": "import-export",
"extra": "mean: 332.48 msec\nrounds: 12"
},
{
"name": "tests/benchmark/test_archive.py::test_export[with-objects]",
"value": 2.8781681785803133,
"unit": "iter/sec",
"range": "stddev: 0.060254",
"group": "import-export",
"extra": "mean: 347.44 msec\nrounds: 12"
},
{
"name": "tests/benchmark/test_archive.py::test_import[no-objects]",
"value": 4.31110833664143,
"unit": "iter/sec",
"range": "stddev: 0.0078883",
"group": "import-export",
"extra": "mean: 231.96 msec\nrounds: 12"
},
{
"name": "tests/benchmark/test_archive.py::test_import[with-objects]",
"value": 4.224868851647219,
"unit": "iter/sec",
"range": "stddev: 0.0031740",
"group": "import-export",
"extra": "mean: 236.69 msec\nrounds: 12"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_local[basic-loop]",
"value": 3.6118251823935594,
"unit": "iter/sec",
"range": "stddev: 0.0042064",
"group": "engine",
"extra": "mean: 276.87 msec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_local[serial-wc-loop]",
"value": 0.7708774760677599,
"unit": "iter/sec",
"range": "stddev: 0.085857",
"group": "engine",
"extra": "mean: 1.2972 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_local[threaded-wc-loop]",
"value": 0.853420484432937,
"unit": "iter/sec",
"range": "stddev: 0.10066",
"group": "engine",
"extra": "mean: 1.1718 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_local[serial-calcjob-loop]",
"value": 0.20496540703362875,
"unit": "iter/sec",
"range": "stddev: 0.094166",
"group": "engine",
"extra": "mean: 4.8789 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_local[threaded-calcjob-loop]",
"value": 0.23002880012587062,
"unit": "iter/sec",
"range": "stddev: 0.11457",
"group": "engine",
"extra": "mean: 4.3473 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_daemon[basic-loop]",
"value": 2.585630172187601,
"unit": "iter/sec",
"range": "stddev: 0.0066575",
"group": "engine",
"extra": "mean: 386.75 msec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_daemon[serial-wc-loop]",
"value": 0.5403668133110762,
"unit": "iter/sec",
"range": "stddev: 0.061014",
"group": "engine",
"extra": "mean: 1.8506 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_daemon[threaded-wc-loop]",
"value": 0.6140462963426395,
"unit": "iter/sec",
"range": "stddev: 0.043721",
"group": "engine",
"extra": "mean: 1.6285 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_daemon[serial-calcjob-loop]",
"value": 0.16139887666403804,
"unit": "iter/sec",
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"group": "engine",
"extra": "mean: 6.1958 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_daemon[threaded-calcjob-loop]",
"value": 0.17827206606083865,
"unit": "iter/sec",
"range": "stddev: 0.075400",
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"extra": "mean: 5.6094 sec\nrounds: 10"
},
{
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"extra": "mean: 2.0357 msec\nrounds: 270"
},
{
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"value": 78.68070194322057,
"unit": "iter/sec",
"range": "stddev: 0.00046418",
"group": "node",
"extra": "mean: 12.710 msec\nrounds: 100"
},
{
"name": "tests/benchmark/test_nodes.py::test_store_with_object",
"value": 53.07146313828779,
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"range": "stddev: 0.00081350",
"group": "node",
"extra": "mean: 18.843 msec\nrounds: 100"
},
{
"name": "tests/benchmark/test_nodes.py::test_delete_backend",
"value": 295.1828447402862,
"unit": "iter/sec",
"range": "stddev: 0.00023968",
"group": "node",
"extra": "mean: 3.3877 msec\nrounds: 100"
},
{
"name": "tests/benchmark/test_nodes.py::test_delete",
"value": 43.92864636408419,
"unit": "iter/sec",
"range": "stddev: 0.0010239",
"group": "node",
"extra": "mean: 22.764 msec\nrounds: 100"
},
{
"name": "tests/benchmark/test_nodes.py::test_delete_with_object",
"value": 43.4075328620029,
"unit": "iter/sec",
"range": "stddev: 0.0014104",
"group": "node",
"extra": "mean: 23.037 msec\nrounds: 100"
}
]
}
]
}
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