While Lazyframes are more efficient, certain operations can be trickier to implement, For small-data operations, you may be better of using the standard Polars Dataframe with PolarsReader:
import gluestick as gsimport polars as plreader = gs.PolarsReader()TENANT_ID = "TENANT_123"for stream in reader.input_files.keys(): df = reader.get(stream, catalog_types=True) df["tenant_id"] = TENANT_ID gs.to_export(df, stream, "./etl-output", keys=["id"])
