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 ejercicio forma parte del curso
Scaling and Optimizing Data Pipelines with Polars
Instrucciones del ejercicio
- 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.
ejercicio interactivo práctico
Prueba este ejercicio completando este código de ejemplo.
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())