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Answer: df.withColumn('first_word', split(col('description'), ' ')[0])
The correct answer is A because it correctly uses the `split` function to divide the `description` column by spaces and selects the first element, effectively extracting the first word.
Author: LeetQuiz Editorial Team
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Given a DataFrame df with a column description containing strings, how would you extract the first word from this column using Spark? Provide the code snippet.
A
df.withColumn('first_word', split(col('description'), ' ')[0])
B
df.select(split(col('description'), ' ')[0])
C
df.withColumn('first_word', substring(col('description'), 0, indexOf(col('description'), ' ')))
D
df.select(substring(col('description'), 0, indexOf(col('description'), ' ')))