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PYSPARK • LESSON 19

Handling CSV Headers with option()

How do we use the chained .option() builder pattern to treat the first row of a CSV as column headers?

Beginner2 Minutes165 XP
🤔 THE QUESTION

How do we use the chained .option() builder pattern to treat the first row of a CSV as column headers?

💡 WHAT IS IT?

The option('header', 'true') builder method instructs Spark to parse the first record as column names.

🎯 WHAT IS IT USED FOR?

Preventing header lines from being incorrectly processed as data rows in financial transactions.

💻 EXAMPLE
df = spark.read.option("header", "true") \
    .csv("data/transactions.csv")

🎯 Mission Objectives

Practice typing production-grade PySpark code for Handling CSV Headers with option().

  • Use the chained option() builder
  • Enable header parsing
  • Read transaction records cleanly