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PYSPARK • LESSON 18

Configuring CSV Parsing Options

How do we specify custom CSV parsing options such as header presence and custom field separators?

Beginner2 Minutes160 XP
🤔 THE QUESTION

How do we specify custom CSV parsing options such as header presence and custom field separators?

💡 WHAT IS IT?

Passing keyword parameters directly into read.csv() to customize file parsing and delimiter handling.

🎯 WHAT IS IT USED FOR?

Ingesting pipe-delimited, tab-delimited, or non-standard structured sales files from partner systems.

💻 EXAMPLE
df = spark.read.csv(
    "data/sales.csv",
    header=True,
    sep=","
)

🎯 Mission Objectives

Practice typing production-grade PySpark code for Configuring CSV Parsing Options.

  • Configure header detection in CSV reader
  • Set custom field delimiter with sep
  • Load structured sales data