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Write PySpark code to filter records based on specific conditions and add a calculated column.

Spark/Big Dataeasy0.3 min readPremium
Frequency
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Asked at 1 company
Category
452
questions in Spark/Big Data
Difficulty Split
88E|81M|283H
in this category
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1,863
across 7 categories
Asked at these companies
Bristol Myers Squibb
Key Concepts Tested
pythonsparksql
Expert AnswerPremium
51 wordsIncludes code examplesInterview-ready
**Code**: ```python from pyspark.sql.functions import when, col spark = SparkSession.builder.getOrCreate() df = spark.read.parquet("/path") result = df.filter(col("region") == "US").withColumn("category", when(col("amount") > 100, "high").otherwise("low")) ``` **Why**: Filter before calculated column reduces data. when/otherwise = built-in, optimized. **Scalability Trade-offs**: Filter first. Built-in over UDF. **Cost Implications**: Filter early = less data....
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