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Write the Spark command to rename an existing column in a DataFrame.

Spark/Big Dataeasy0.5 min readPremium
Frequency
Low
Asked at 1 company
Category
452
questions in Spark/Big Data
Difficulty Split
88E|81M|283H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Dunnhumby
Key Concepts Tested
spark
Expert AnswerPremium
98 wordsInterview-ready
**Why It Matters (Architectural Logic)**: Column renames improve pipeline clarity and downstream compatibility. Early renames avoid schema confusion in long lineages. Use `withColumnRenamed`: `df = df.withColumnRenamed("old_name", "new_name")`. For multiple: `for old, new in [("a","x"),("b","y")]: df = df.withColumnRenamed(old, new)`. Alternative: `df.select([F.col(c).alias(dict_map[c]) for c in df.columns])`. ToLowerCase: `df = df.toDF(*[c.lower() for c in df.columns])`....
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