Basic Column Selection with select()

How do we project only required columns from a wide DataFrame to optimize query performance?

Beginner⏱ 2 Minutes⭐ 160 XP

🤔 THE QUESTION

How do we project only required columns from a wide DataFrame to optimize query performance?

💡 WHAT IS IT?

select() limits the DataFrame columns to only the specified subset of field names.

🎯 WHAT IS IT USED FOR?

Pruning unused columns early to reduce network I/O and memory usage across Spark executors.

💻 EXAMPLE

df.select("name", "department").show()

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