Elasticsearch is often used for text queries, analytics and as an key-value store (use cases). The connector covers both the analytics and key-value store use cases. For the analytics use case, each message is in Kafka is treated as an event and the connector uses topic+partition+offset as a unique identifier for events, which then converted to unique documents in Elasticsearch. For the key-value store use case, it supports using keys from Kafka messages as document ids in Elasticsearch and provides configurations ensuring that updates to a key are written to Elasticsearch in order. For both use cases, Elasticsearch’s idempotent write semantics guarantees exactly once delivery.
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