Polars plugin for reading and writing Lance datasets
Project description
polars-lance
Polars plugin for reading Lance datasets into Polars dataframes and writing Polars dataframes to Lance datasets.
Installation
pip install polars-lance
Read
from polars_lance import scan_lance
lf = scan_lance("example.lance")
df = lf.collect()
Write
import polars as pl
from polars_lance import write_lance
df = pl.DataFrame({"id": [1, 2], "val": ["a", "b"]})
write_lance(df, "example.lance")
Pass mode to control behavior in case the target dataset already exists. Valid values are error (default), append, and overwrite.
write_lance(df, "example.lance", mode="append")
Cloud storage
Pass storage_options to work with Lance datasets stored in AWS S3, Azure Blob Storage, or Google Cloud Storage.
from polars_lance import scan_lance, write_lance
uri = "s3://my-bucket/example.lance"
storage_options = {
"aws_access_key_id": "AKIAIOSFODNN7EXAMPLE",
"aws_secret_access_key": "wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY",
"aws_region": "us-east-1",
}
write_lance(df, uri, storage_options=storage_options)
lf = scan_lance(uri, storage_options=storage_options)
df = lf.collect()
Cloud storage IO is powered by the object_store Rust crate. These are the supported schemes and options:
s3://: AWS optionsaz://: Azure optionsgs://: GCP options
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