---
title: "Discussion on \"Caching and Persistence in Spark: Storage Levels and When to Use Them\" | Hashnode"
description: "Discussion on \"Caching and Persistence in Spark: Storage Levels and When to Use Them\". Caching in Spark is lazy and partition-level — understanding how StorageLevel and eviction work is the difference between a speedup and an OOM"
url: "https://hashnode.com/posts/spark-caching-persistence-storage-levels/69e4377cf98b558fec73a31c"
---

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# [Caching and Persistence in Spark: Storage Levels and When to Use Them](https://abstractalgorithms.hashnode.dev/spark-caching-persistence-storage-levels?utm_source=hashnode&utm_medium=feed)

Caching in Spark is lazy and partition-level — understanding how StorageLevel and eviction work is the difference between a speedup and an OOM

Apr 19 · 24 min read · abstractalgorithms.hashnode.dev  
Updated Jun 18  
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-   [#apache-spark](https://hashnode.com/tag/apache-spark)
-   [#caching](https://hashnode.com/tag/caching)
-   [#performance](https://hashnode.com/tag/performance)
-   [#intermediate](https://hashnode.com/tag/intermediate)

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