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PYSPARK • LESSON 22

Reading Optimized Parquet Files

How do we load compressed columnar Parquet files with built-in schema preservation?

Beginner2 Minutes190 XP
🤔 THE QUESTION

How do we load compressed columnar Parquet files with built-in schema preservation?

💡 WHAT IS IT?

spark.read.parquet() reads binary columnar Parquet files containing embedded schema metadata and Snappy compression.

🎯 WHAT IS IT USED FOR?

High-performance queries across bronze, silver, and gold lakehouse data layers.

💻 EXAMPLE
parquet_df = spark.read.parquet("data/gold_orders.parquet")

🎯 Mission Objectives

Practice typing production-grade PySpark code for Reading Optimized Parquet Files.

  • Use spark.read.parquet reader
  • Leverage columnar storage efficiency
  • Load gold order analytics data