$ cd ~/arrow-datafusion/conbench/
$ conda create -y -n conbench python=3.9
$ conda activate conbench
(conbench) $ pip install -r requirements.txt
(conbench) $ conbench datafusion

{
    "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"
}

(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"
}