Polars IO utility library
Helpers to make it easier to read and write Hive partitioned parquet dataset with Polars.
It is meant to be a library to deal with datasets easily, but also contains a commandline interface which allows you to inspect parquet files and datasets more easily.
Dataset
Example of use of polario.hive_dataset.HiveDataset
from polario.hive_dataset import HiveDataset
import polars as pl
df = pl.from_dicts(
[
{"p1": 1, "v": 1},
{"p1": 2, "v": 1},
]
)
ds = HiveDataset("file:///tmp/", partition_columns=["p1"])
ds.write(df)
for partition_df in ds.read_partitions():
print(partition_df)
To model data storage, we use three layers: dataset, partition, fragment.
- Each dataset is a lexical ordered set of partitions
- Each partition is a lexical ordered set of fragments
- Each fragment is a file on disk with rows in any order
1 maintainer
Metadata
1 maintainer
Release files for polario 0.3.2
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