Kafka - Event-Driven Architecture
To minimize the time needed to rebuild state from Kafka events in event sourcing, which technique is most effective?
To minimize the time needed to rebuild state from Kafka events in event sourcing, which technique is most effective?
hard📝 Application Q8 of 15
Step-by-Step Solution
Solution:
Step 1: Identify replay bottleneck
Replaying all events from the beginning can be slow as event count grows.Step 2: Use snapshots
Snapshots capture the current state at intervals, reducing replay to events after the snapshot.Step 3: Evaluate other options
Increasing retention doesn't reduce replay time; filtering events risks losing data; concurrent replay causes conflicts.Final Answer:
Periodically creating snapshots of the current state to avoid full event replay -> Option BQuick Check:
Snapshots speed up state rebuild by limiting replay [OK]
Quick Trick: Use snapshots to reduce replay time [OK]
Common Mistakes:
MISTAKES- Assuming longer retention reduces replay time
- Filtering events can cause inconsistent state
- Concurrent replay leads to race conditions
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