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add pytest-benchmarks:ubuntu-22.04,psql_dos benchmark result for 98ffc33
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github-action-benchmark committed Oct 7, 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": 1727360489535,
"lastUpdate": 1728331446418,
"repoUrl": "https://github.com/aiidateam/aiida-core",
"xAxis": "id",
"oneChartGroups": [],
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"extra": "mean: 27.122 msec\nrounds: 100"
}
]
},
{
"cpu": {
"speed": "0.00",
"cores": 4,
"physicalCores": 2,
"processors": 1
},
"extra": {
"pythonVersion": "3.10.15",
"metadata": "postgres:12.14, rabbitmq:3.8.14-management"
},
"commit": {
"id": "98ffc331d154cc7717861fde6c908ec510003926",
"message": "Refactor: Add the `_prepare_yaml` method to `AbstractCode` (#6565)\n\nAs specified in the docs, the `Data` class implements an `export()` method. For actually exporting `Data` nodes, subclasses should implement a `_prepare_XXX` method, where `XXX` is the desired export file format. When running `verdi data <orm-data-type> export`, the available data formats for exporting are dynamically determined based on the implemented `_prepare_XXX` methods. The `Code` classes didn't follow this specification (likely because `Code` wasn't historically a subclass of `Data`), but instead a custom implementation was used for `verdi code export` in `cmd_code.py`.\r\n\r\nWith the goal of increasing consistency, this PR moves the code of this custom implementation to the new `_prepare_yaml` method of the `AbstractCode` class (`_prepare_yml` is also added, as the previous default file extension was `.yml`, but it basically just calls `prepare_yaml`). The `export` function in `cmd_code.py` now instead calls the `data_export` function, as is done when exporting other classes derived from `Data`. Thus, exporting a `Code` via the CLI through `verdi code export` remains unchanged.\r\n\r\nLastly, for the `PortableCode` class, the `prepare_yaml` method is overridden to temporarily attach the `filepath_files` attribute to the instance, as this field is defined via the `pydantic` model, but not actually saved as an attribute (instead, the contents of the given folder are added to the `NodeRepository` via `put_object_from_tree`). Without temporarily attaching the attribute, this would otherwise lead to an exception in `test_data.py` which tests the exporting of the derived `Data` nodes, as the `filepath_files` field is tried to be accessed from the instance via `getattr`. In addition, the files contained in the `NodeRepository` of the `PortableCode` are also dumped to disk, such that upon exporting the code configuration to a YAML, the `PortableCode` _can_ actually be fully re-created from this file and the additional directory.",
"timestamp": "2024-10-07T21:56:15+02:00",
"url": "https://github.com/aiidateam/aiida-core/commit/98ffc331d154cc7717861fde6c908ec510003926",
"distinct": true,
"tree_id": "bcd81dc5ab83828d40a05053294a0ac1660398aa"
},
"date": 1728331441848,
"benches": [
{
"name": "tests/benchmark/test_archive.py::test_export[no-objects]",
"value": 2.7743188020496246,
"unit": "iter/sec",
"range": "stddev: 0.061443",
"group": "import-export",
"extra": "mean: 360.45 msec\nrounds: 12"
},
{
"name": "tests/benchmark/test_archive.py::test_export[with-objects]",
"value": 2.5775045429554537,
"unit": "iter/sec",
"range": "stddev: 0.059004",
"group": "import-export",
"extra": "mean: 387.97 msec\nrounds: 12"
},
{
"name": "tests/benchmark/test_archive.py::test_import[no-objects]",
"value": 3.988588125538225,
"unit": "iter/sec",
"range": "stddev: 0.0043214",
"group": "import-export",
"extra": "mean: 250.72 msec\nrounds: 12"
},
{
"name": "tests/benchmark/test_archive.py::test_import[with-objects]",
"value": 3.980125500693606,
"unit": "iter/sec",
"range": "stddev: 0.0051095",
"group": "import-export",
"extra": "mean: 251.25 msec\nrounds: 12"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_local[basic-loop]",
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"unit": "iter/sec",
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"group": "engine",
"extra": "mean: 285.63 msec\nrounds: 10"
},
{
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"value": 0.7531594091622765,
"unit": "iter/sec",
"range": "stddev: 0.099446",
"group": "engine",
"extra": "mean: 1.3277 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_local[threaded-wc-loop]",
"value": 0.8276879887045869,
"unit": "iter/sec",
"range": "stddev: 0.10596",
"group": "engine",
"extra": "mean: 1.2082 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_local[serial-calcjob-loop]",
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"unit": "iter/sec",
"range": "stddev: 0.16799",
"group": "engine",
"extra": "mean: 4.7955 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_local[threaded-calcjob-loop]",
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"group": "engine",
"extra": "mean: 4.3043 sec\nrounds: 10"
},
{
"name": "tests/benchmark/test_engine.py::test_workchain_daemon[basic-loop]",
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"extra": "mean: 418.40 msec\nrounds: 10"
},
{
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"extra": "mean: 2.1155 sec\nrounds: 10"
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{
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"extra": "mean: 1.7147 sec\nrounds: 10"
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{
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"extra": "mean: 6.1788 sec\nrounds: 10"
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"extra": "mean: 5.5190 sec\nrounds: 10"
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{
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"extra": "mean: 12.791 msec\nrounds: 100"
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{
"name": "tests/benchmark/test_nodes.py::test_store_with_object",
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"extra": "mean: 18.640 msec\nrounds: 100"
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"name": "tests/benchmark/test_nodes.py::test_delete_backend",
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"range": "stddev: 0.00019202",
"group": "node",
"extra": "mean: 3.5717 msec\nrounds: 100"
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{
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"group": "node",
"extra": "mean: 21.851 msec\nrounds: 100"
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{
"name": "tests/benchmark/test_nodes.py::test_delete_with_object",
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"unit": "iter/sec",
"range": "stddev: 0.029215",
"group": "node",
"extra": "mean: 25.120 msec\nrounds: 100"
}
]
}
]
}
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