apoorvmittal10 commented on code in PR #17322:
URL: https://github.com/apache/kafka/pull/17322#discussion_r1808329296
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core/src/main/java/kafka/server/share/ShareFetchUtils.java:
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@@ -84,24 +88,31 @@ static Map<TopicIdPartition,
ShareFetchResponseData.PartitionData> processFetchR
partitionData.setErrorMessage(Errors.NONE.message());
}
} else {
- List<AcquiredRecords> acquiredRecords =
sharePartition.acquire(shareFetchData.memberId(), fetchPartitionData);
+ ShareAcquiredRecords shareAcquiredRecords =
sharePartition.acquire(shareFetchData.memberId(),
shareFetchData.maxFetchRecords() - acquiredRecordsCount, fetchPartitionData);
log.trace("Acquired records for topicIdPartition: {} with
share fetch data: {}, records: {}",
- topicIdPartition, shareFetchData, acquiredRecords);
+ topicIdPartition, shareFetchData, shareAcquiredRecords);
// Maybe, in the future, check if no records are acquired, and
we want to retry
// replica manager fetch. Depends on the share partition
manager implementation,
// if we want parallel requests for the same share partition
or not.
- if (acquiredRecords.isEmpty()) {
+ if (shareAcquiredRecords.records().isEmpty()) {
partitionData
.setRecords(null)
.setAcquiredRecords(Collections.emptyList());
} else {
partitionData
+ // We set the records to the fetchPartitionData
records. We do not alter the records
+ // fetched from the replica manager as they follow
zero copy buffer. The acquired records
Review Comment:
`max.poll.records=Infinite` has it's own downsides as the locks on server
might timeout prior to client completed processing of all records, if the
records returned are more than the time capacity in which they can be processed
by client. Hence there has to be a balance with `fetch max bytes` and
`max.poll.records`. We are testing with what seems to be the best behaviour in
which application can define these configurations easier.
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