Fast-path filter on sorted data
The historical analysis team needs every checkout record from before 2021. The CSV is already sorted by date, so if you tell Polars about that, it can stop scanning as soon as the first 2021 row appears.
Este exercicio faz parte do curso
Scaling and Optimizing Data Pipelines with Polars
Instruções do exercicio
- Mark the
datecolumn as sorted so Polars can use a fast-path scan. - Filter to rows where
dateis before January 1, 2021. - Execute the lazy query.
exercicio interativo prático
Tente este exercicio completando este código de exemplo.
result = (
library
# Mark date as sorted to enable the fast-path scan
.____("date")
# Filter to rows before 2021-01-01
.filter(pl.col("date") < pl.____(2021, 1, 1))
# Execute the lazy query
.____()
)
print(result.head())