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How can you use Kafka Streams to transform a nested JSON event into a flat key-value pair stream for easier processing?

hard🚀 Application Q9 of Q15
Kafka - Streams
How can you use Kafka Streams to transform a nested JSON event into a flat key-value pair stream for easier processing?
AUse filter() to remove nested JSON objects
BUse map() to extract nested fields and create flat key-value pairs
CUse join() to combine nested JSON with flat streams
DUse groupBy() to group nested JSON fields
Step-by-Step Solution
Solution:
  1. Step 1: Understand flattening nested JSON

    Flattening means extracting nested fields into simple key-value pairs.
  2. Step 2: Choose the correct Kafka Streams operation

    map() can transform each event by extracting and reshaping data.
  3. Final Answer:

    Use map() to extract nested fields and create flat key-value pairs -> Option B
  4. Quick Check:

    Flatten nested JSON with map() transformation [OK]
Quick Trick: Use map() to reshape complex data into flat pairs [OK]
Common Mistakes:
MISTAKES
  • Using filter() to remove nested data instead of transform
  • Confusing join() with flattening
  • Using groupBy() incorrectly for flattening

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