rajinisivaram commented on a change in pull request #9382:
URL: https://github.com/apache/kafka/pull/9382#discussion_r511046915
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File path: core/src/main/scala/kafka/server/AbstractFetcherThread.scala
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@@ -426,21 +454,42 @@ abstract class AbstractFetcherThread(name: String,
warn(s"Partition $topicPartition marked as failed")
}
- def addPartitions(initialFetchStates: Map[TopicPartition, OffsetAndEpoch]):
Set[TopicPartition] = {
+ /**
+ * Returns initial partition fetch state based on current state and the
provided `initialFetchState`.
+ * From IBP 2.7 onwards, we can rely on truncation based on diverging data
returned in fetch responses.
+ * For older versions, we can skip the truncation step iff the leader epoch
matches the existing epoch.
+ */
+ private def partitionFetchState(tp: TopicPartition, initialFetchState:
InitialFetchState, currentState: PartitionFetchState): PartitionFetchState = {
+ if (isTruncationOnFetchSupported && initialFetchState.initOffset >= 0 &&
initialFetchState.lastFetchedEpoch.nonEmpty) {
+ if (currentState == null) {
+ return PartitionFetchState(initialFetchState.initOffset, None,
initialFetchState.currentLeaderEpoch,
+ state = Fetching, initialFetchState.lastFetchedEpoch)
+ }
+ // If we are in `Fetching` state can continue to fetch regardless of
current leader epoch and truncate
+ // if necessary based on diverging epochs returned by the leader. If we
are currently in Truncating state,
+ // fall through and handle based on current epoch.
+ if (currentState.state == Fetching) {
+ return currentState
Review comment:
Updated.
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