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Case Class and StructType Syntax

Python/Codingeasy0.2 min readPremium

**Case Class (Scala):** `case class Person(name: String, age: Int)`—immutable, auto equals/hashCode. **StructType (Spark):** `StructType([StructField('name', StringType()), ...])`. **Mapping:** Case classes → Spark rows. **When:** StructType for dynamic/Python; Case Class for...

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Frequency
Low
Asked at 1 company
Category
179
questions in Python/Coding
Difficulty Split
127E|24M|28H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
LTIMindtree
Interview Pro Tip

Pro-Move: Schema evolution with StructType. Red Flag: Ignoring type safety in Scala.

Key Concepts Tested
pythonspark

Why This Question Matters

This easy-level Python/Coding question appears frequently in data engineering interviews at companies like LTIMindtree. While less common, it tests deeper understanding that distinguishes strong candidates. Mastering the underlying concepts (python, spark) will help you answer variations of this question confidently.

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Start by clearly defining the core concept being asked about. Interviewers want to see that you understand the fundamentals before diving into implementation details. Structure your answer with a definition, then explain the practical application with a concise example.

Expert Answer
40 words

Case Class (Scala): case class Person(name: String, age: Int)—immutable, auto equals/hashCode. StructType (Spark): StructType([StructField('name', StringType()), ...]). Mapping: Case classes → Spark rows. When: StructType for dynamic/Python; Case Class for type-safe Scala. Production: Case Class for UDFs; StructType for schema evolution.

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According to DataEngPrep.tech, this is one of the most frequently asked Python/Coding interview questions, reported at 1 company. DataEngPrep.tech maintains a curated database of 1,863+ real data engineering interview questions across 7 categories, verified by industry professionals.

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