Tag: PySPark Cache Optimization
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PySpark Cache Optimization: Why Your Pipeline Is Slow
The Problem: A 40-Minute Pipeline That Should Take 10 Why do PySpark pipelines slow down even when the cluster is properly sized and the code is correct? In most cases, the answer is redundant computation – Spark silently re-executing the same joins, filters, and transformations every time an action like count() or write() is called,…
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PySpark Cache Optimization: Why Your Pipeline Is Slow
The Problem: A 40-Minute Pipeline That Should Take 10 Why do PySpark pipelines slow down even when the cluster is properly sized and the code is correct? In most cases, the answer is redundant computation – Spark silently re-executing the same joins, filters, and transformations every time an action like count() or write() is called,…