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Implement a Kafka consumer that writes streaming data into a database.

Spark/Big Datahard0.5 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
Fragma Data Systems
Key Concepts Tested
optimizationpartitionpythonsparksql
Expert AnswerPremium
97 wordsInterview-ready
**Why it matters**: At scale, design choices directly impact reliability, latency, and cost. Wrong decisions compound across jobs and teams. Kafka consumer → database: Use Kafka Connect with JDBC sink, or custom Spark/Kafka consumer. Example Spark: `spark.readStream.format('kafka')...` then `foreachBatch` to write to DB. Python consumer: `from kafka import KafkaConsumer; consumer = KafkaConsumer('topic'); for msg in consumer: cursor.execute(insert_sql, msg.value)`....
The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations. It covers performance optimization strategies, common pitfalls to avoid, and real-world examples from companies like Fragma Data Systems. The answer also includes follow-up discussion points that interviewers commonly explore.

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