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  3. Scaling and Optimizing Data Pipelines with Polars
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연습 문제

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.

지침

100 XP
  • Run monthly_digital using the streaming engine.