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PYSPARK โ€ข 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?

Beginnerโฑ 2 Minutesโญ 165 XP
๐Ÿค” THE QUESTION

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

๐Ÿ’ก WHAT IS IT?

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

๐ŸŽฏ WHAT IS IT USED FOR?

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

๐Ÿ’ป EXAMPLE
df = spark.read.option("header", "true") \
    .csv("data/transactions.csv")

๐ŸŽฏ Mission Objectives

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

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