DataFusion + Conbench Integration

conbench/.flake8

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+[flake8]
+ignore = E501

conbench/.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+.python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+

conbench/.isort.cfg

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+[settings]
+profile = black

conbench/README.md

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+<!---
+  Licensed to the Apache Software Foundation (ASF) under one
+  or more contributor license agreements.  See the NOTICE file
+  distributed with this work for additional information
+  regarding copyright ownership.  The ASF licenses this file
+  to you under the Apache License, Version 2.0 (the
+  "License"); you may not use this file except in compliance
+  with the License.  You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+  Unless required by applicable law or agreed to in writing,
+  software distributed under the License is distributed on an
+  "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+  KIND, either express or implied.  See the License for the
+  specific language governing permissions and limitations
+  under the License.
+-->
+
+# DataFusion + Conbench Integration
+
+
+## Quick start
+
+```
+$ cd ~/arrow-datafusion/conbench/
+$ conda create -y -n conbench python=3.9
+$ conda activate conbench
+(conbench) $ pip install -r requirements.txt
+(conbench) $ conbench datafusion --src-dir=/Users/diana/workspace/arrow-datafusion
+```
+
+## Example output
+
+```
+{
+    "batch_id": "3c82f9d23fce49328b78ba9fd963b254",
+    "context": {
+        "benchmark_language": "Rust"
+    },
+    "github": {
+        "commit": "e8c198b9fac6cd8822b950b9f71898e47965488d",
+        "repository": "https://github.com/dianaclarke/arrow-datafusion"
+    },
+    "info": {},
+    "machine_info": {
+        "architecture_name": "x86_64",
+        "cpu_core_count": "8",
+        "cpu_frequency_max_hz": "2400000000",
+        "cpu_l1d_cache_bytes": "65536",
+        "cpu_l1i_cache_bytes": "131072",
+        "cpu_l2_cache_bytes": "4194304",
+        "cpu_l3_cache_bytes": "0",
+        "cpu_model_name": "Apple M1",
+        "cpu_thread_count": "8",
+        "gpu_count": "0",
+        "gpu_product_names": [],
+        "kernel_name": "20.6.0",
+        "memory_bytes": "17179869184",
+        "name": "diana",
+        "os_name": "macOS",
+        "os_version": "10.16"
+    },
+    "run_id": "ec2a50b9380c470b96d7eb7d63ab5b77",
+    "stats": {
+        "data": [
+            "0.001532",
+            "0.001394",
+            "0.001333",
+            "0.001356",
+            "0.001379",
+            "0.001361",
+            "0.001307",
+            "0.001348",
+            "0.001436",
+            "0.001397",
+            "0.001339",
+            "0.001523",
+            "0.001593",
+            "0.001415",
+            "0.001344",
+            "0.001312",
+            "0.001402",
+            "0.001362",
+            "0.001329",
+            "0.001330",
+            "0.001447",
+            "0.001413",
+            "0.001536",
+            "0.001330",
+            "0.001333",
+            "0.001338",
+            "0.001333",
+            "0.001331",
+            "0.001426",
+            "0.001575",
+            "0.001362",
+            "0.001343",
+            "0.001334",
+            "0.001383",
+            "0.001476",
+            "0.001356",
+            "0.001362",
+            "0.001334",
+            "0.001390",
+            "0.001497",
+            "0.001330",
+            "0.001347",
+            "0.001331",
+            "0.001468",
+            "0.001377",
+            "0.001351",
+            "0.001328",
+            "0.001509",
+            "0.001338",
+            "0.001355",
+            "0.001332",
+            "0.001485",
+            "0.001370",
+            "0.001366",
+            "0.001507",
+            "0.001358",
+            "0.001331",
+            "0.001463",
+            "0.001362",
+            "0.001336",
+            "0.001428",
+            "0.001343",
+            "0.001359",
+            "0.001905",
+            "0.001726",
+            "0.001411",
+            "0.001433",
+            "0.001391",
+            "0.001453",
+            "0.001346",
+            "0.001339",
+            "0.001420",
+            "0.001330",
+            "0.001422",
+            "0.001683",
+            "0.001426",
+            "0.001349",
+            "0.001342",
+            "0.001430",
+            "0.001330",
+            "0.001436",
+            "0.001331",
+            "0.001415",
+            "0.001332",
+            "0.001408",
+            "0.001343",
+            "0.001392",
+            "0.001371",
+            "0.001655",
+            "0.001354",
+            "0.001438",
+            "0.001347",
+            "0.001341",
+            "0.001374",
+            "0.001453",
+            "0.001352",
+            "0.001358",
+            "0.001398",
+            "0.001362",
+            "0.001454"
+        ],
+        "iqr": "0.000088",
+        "iterations": 100,
+        "max": "0.001905",
+        "mean": "0.001401",
+        "median": "0.001362",
+        "min": "0.001307",
+        "q1": "0.001340",
+        "q3": "0.001428",
+        "stdev": "0.000095",
+        "time_unit": "s",
+        "times": [],
+        "unit": "s"
+    },
+    "tags": {
+        "name": "aggregate_query_group_by",
+        "suite": "aggregate_query_group_by"
+    },
+    "timestamp": "2022-02-09T01:32:55.769468+00:00"
+}
+```
+
+## Debug with test benchmark
+
+```
+(conbench) $ cd ~/arrow-datafusion/conbench/
+(conbench) $ conbench test --iterations=3
+
+Benchmark result:
+{
+    "batch_id": "41a144761bc24d82b94efa70d6e460b3",
+    "context": {
+        "benchmark_language": "Python"
+    },
+    "github": {
+        "commit": "e8c198b9fac6cd8822b950b9f71898e47965488d",
+        "repository": "https://github.com/dianaclarke/arrow-datafusion"
+    },
+    "info": {
+        "benchmark_language_version": "Python 3.9.7"
+    },
+    "machine_info": {
+        "architecture_name": "x86_64",
+        "cpu_core_count": "8",
+        "cpu_frequency_max_hz": "2400000000",
+        "cpu_l1d_cache_bytes": "65536",
+        "cpu_l1i_cache_bytes": "131072",
+        "cpu_l2_cache_bytes": "4194304",
+        "cpu_l3_cache_bytes": "0",
+        "cpu_model_name": "Apple M1",
+        "cpu_thread_count": "8",
+        "gpu_count": "0",
+        "gpu_product_names": [],
+        "kernel_name": "20.6.0",
+        "memory_bytes": "17179869184",
+        "name": "diana",
+        "os_name": "macOS",
+        "os_version": "10.16"
+    },
+    "run_id": "71f46362db8844afacea82cba119cefc",
+    "stats": {
+        "data": [
+            "0.000001",
+            "0.000001",
+            "0.000000"
+        ],
+        "iqr": "0.000000",
+        "iterations": 3,
+        "max": "0.000001",
+        "mean": "0.000001",
+        "median": "0.000001",
+        "min": "0.000000",
+        "q1": "0.000000",
+        "q3": "0.000001",
+        "stdev": "0.000001",
+        "time_unit": "s",
+        "times": [],
+        "unit": "s"
+    },
+    "tags": {
+        "name": "test"
+    },
+    "timestamp": "2022-02-09T01:36:45.823615+00:00"
+}
+```
+