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.

Diese Übung ist Teil des Kurses

<Kurs>Scaling and Optimizing Data Pipelines with Polars</Kurs>

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Übungsanweisungen

Run monthly_digital using the streaming engine.

Interaktive praktische Übung

Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.

# Run the query on the streaming engine
result = monthly_digital.collect(____="____")
print(result)

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