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PYSPARK โ€ข LESSON 22

Reading Optimized Parquet Files

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

Beginnerโฑ 2 Minutesโญ 190 XP
๐Ÿค” THE QUESTION

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

๐Ÿ’ก WHAT IS IT?

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

๐ŸŽฏ WHAT IS IT USED FOR?

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

๐Ÿ’ป EXAMPLE
parquet_df = spark.read.parquet("data/gold_orders.parquet")

๐ŸŽฏ Mission Objectives

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

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