Consumer Part 3 – Idempotence

The video tutorial explains how to ensure idempotency in data processing using Kafka and Elasticsearch. It covers the concept of autocommit and offset control, and introduces two strategies for creating unique IDs: a Kafka generic ID and a Twitter feed-specific ID. The tutorial demonstrates how to implement these strategies using the Gson library for JSON parsing, ensuring that data is not duplicated in Elasticsearch.

What role does the Gson library play in extracting IDs from tweets?

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What is the process to ensure that duplicate records are not inserted into Elasticsearch?

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Discuss how the concept of idempotency can be applied to other systems beyond Elasticsearch.

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