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yambda / benchmarks /scripts /transform2sequential.py
ploshkin's picture
Add code for benchmarking
1be89f3 verified
import os
import click
import polars as pl
@click.command()
@click.option(
"--src_dir",
type=click.Path(exists=True, file_okay=False),
required=True,
help="Path to the directory containing source Parquet files, e.g., './50m'.",
)
@click.option(
"--dst_dir",
type=click.Path(file_okay=False),
required=False,
help="Path to the directory where Parquet files will be saved. "
"If not specified, Parquet files are saved in 'src_dir' with prefix 'seq_'.",
)
@click.option(
"--files",
type=str,
multiple=True,
help="List of parquet filenames to convert. If not specified, all Parquet files in 'src_dir' will be converted. "
"For example, '--files dislike.parquet --files like.parquet'.",
)
@click.option(
"--aggregation",
type=click.Choice(["structs", "columns"]),
required=True,
help="Agg method: 'structs' for a sequence of structs per 'uid', 'columns' for individual column aggregation.",
)
def cli(src_dir: str, dst_dir: str, files: list[str], aggregation: str):
transform2sequential(src_dir, dst_dir, files, aggregation)
def transform2sequential(src_dir: str, dst_dir: str, files: list[str], aggregation: str):
for file in files:
print(f"Processing file: {file}")
src_path = os.path.join(src_dir, file)
parquet_path = os.path.join(dst_dir, file)
if os.path.exists(parquet_path):
parquet_path = os.path.join(dst_dir, f"{aggregation}_" + file)
assert not os.path.exists(parquet_path)
os.makedirs(dst_dir, exist_ok=True)
df = pl.scan_parquet(src_path)
if aggregation == "structs":
seq_df = (
df.select("uid", pl.struct(pl.all().exclude("uid")).alias("events"))
.group_by("uid", maintain_order=True)
.agg(pl.col("events"))
)
seq_df.sink_parquet(
parquet_path,
compression="lz4",
statistics=True,
)
elif aggregation == "columns":
col_agg_df = df.group_by("uid", maintain_order=True).agg(pl.all().exclude("uid"))
col_agg_df.sink_parquet(
parquet_path,
compression="lz4",
statistics=True,
)
if __name__ == "__main__":
cli()