load_pandas.py

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# to you under the Apache License, Version 2.0 (the
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import argparse
import timeit

setup = "\n".join(
    [
        "from systemds.context import SystemDSContext",
        "from systemds.script_building.script import DMLScript",
        "import pandas as pd",
        "df = pd.read_csv(src, header=None)",
        "if dtype is not None:",
        "    df = df.astype(dtype)",
    ]
)


run = "\n".join(
    [
        "with SystemDSContext(logging_level=10, py4j_logging_level=50) as ctx:",
        "    frame_from_pandas = ctx.from_pandas(df)",
        "    script = DMLScript(ctx)",
        "    script.add_input_from_python('test', frame_from_pandas)",
        "    script.execute()",
    ]
)

dtype_choices = [
    "double",
    "float",
    "long",
    "int8",
    "int16",
    "int32",
    "int64",
    "uint8",
    "uint16",
    "uint32",
    "uint64",
    "float32",
    "float64",
    "string",
    "bool",
]


def main(args):
    gvars = {"src": args.src, "dtype": args.dtype}
    print(timeit.timeit(run, setup, globals=gvars, number=args.number))


if __name__ == "__main__":
    description = "Benchmarks time spent loading data into systemds"
    parser = argparse.ArgumentParser(description=description)
    parser.add_argument("src")
    parser.add_argument("number", type=int, help="number of times to load the data")
    help_force_dtype = (
        "optionally cast all columns to one of the dtype choices in pandas"
    )
    parser.add_argument(
        "--dtype",
        choices=dtype_choices,
        required=False,
        default=None,
        help=help_force_dtype,
    )
    args = parser.parse_args()
    main(args)