---
title: "Discussion on \"Spark DataFrames and Spark SQL: Schema, DDL, and the Catalyst Optimizer\" | Hashnode"
description: "Discussion on \"Spark DataFrames and Spark SQL: Schema, DDL, and the Catalyst Optimizer\". Catalyst turns your DataFrame ops into an optimized physical plan — understanding it explains why column pruning and predicate pushdown are free"
url: "https://hashnode.com/posts/spark-dataframes-sql-catalyst-optimizer/69e437889f1ae2c7968c205f"
---

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# [Spark DataFrames and Spark SQL: Schema, DDL, and the Catalyst Optimizer](https://abstractalgorithms.hashnode.dev/spark-dataframes-sql-catalyst-optimizer?utm_source=hashnode&utm_medium=feed)

Catalyst turns your DataFrame ops into an optimized physical plan — understanding it explains why column pruning and predicate pushdown are free

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

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