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David Jacot resolved KAFKA-15910. --------------------------------- Fix Version/s: 3.7.0 Resolution: Fixed > New group coordinator needs to generate snapshots while loading > --------------------------------------------------------------- > > Key: KAFKA-15910 > URL: https://issues.apache.org/jira/browse/KAFKA-15910 > Project: Kafka > Issue Type: Sub-task > Reporter: Jeff Kim > Assignee: Jeff Kim > Priority: Major > Fix For: 3.7.0 > > > After the new coordinator loads a __consumer_offsets partition, it logs the > following exception when making a read operation (fetch/list groups, etc): > > {{{}java.lang.RuntimeException: No in-memory snapshot for epoch 740745. > Snapshot epochs are:{}}}{{{}at > org.apache.kafka.timeline.SnapshotRegistry.getSnapshot(SnapshotRegistry.java:178){}}}{{{}at > > org.apache.kafka.timeline.SnapshottableHashTable.snapshottableIterator(SnapshottableHashTable.java:407){}}}{{{}at > > org.apache.kafka.timeline.TimelineHashMap$ValueIterator.<init>(TimelineHashMap.java:283){}}}{{{}at > > org.apache.kafka.timeline.TimelineHashMap$Values.iterator(TimelineHashMap.java:271){}}} > {{...}} > > This happens because we don't have a snapshot at the last updated high > watermark after loading. We cannot generate a snapshot at the high watermark > after loading all batches because it may contain records that have not yet > been committed. We also don't know where the high watermark will advance up > to so we need to generate a snapshot for each offset the loader observes to > be greater than the current high watermark. Then once we add the high > watermark listener and update the high watermark we can delete all of the > snapshots prior. -- This message was sent by Atlassian Jira (v8.20.10#820010)