Configuring CSV Parsing Options

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

Beginner⏱ 2 Minutes⭐ 160 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=","
)

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