8/15/2023 0 Comments Kafka lag exporter github![]() Stream processing frameworks like Spark and Flink will perform offset management internally on fault tolerant distributed block storage (i.e. The main purpose behind committing is to provide an easy way for applications to manage their current position in a partition so that if a consumer group member stops for any reason (error, consumer group rebalance, graceful shutdown) that it can resume from the last committed offset (+1) when it’s active again.Ĭommitting offsets to Kafka is not strictly necessary to maintain consumer group position–you may also choose to store offsets yourself. Member applications of a consumer group may commit offsets to Kafka to indicate that they’ve been successfully processed (at-least-once semantics) or successfully received (at-most-once semantics).
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