Targeting the streaming engine
You're back with the Seattle library team. Their checkout history is growing, and queries are starting to flirt with memory limits. The simplest fix is to run lazy queries on Polars' streaming engine instead of the default in-memory one.
polars is loaded as pl. The LazyFrame monthly_digital is pre-loaded and totals digital checkouts by month.
Cet exercice fait partie du cours
<cours>Scaling and Optimizing Data Pipelines with Polars</cours>Instructions de l’exercice
- Run
monthly_digitalusing the streaming engine.
Exercice interactif pratique
Essayez cet exercice en complétant ce code d’exemple.
# Run the query on the streaming engine
result = monthly_digital.collect(____="____")
print(result)