apoorvmittal10 commented on code in PR #22479:
URL: https://github.com/apache/kafka/pull/22479#discussion_r3389609501


##########
server/src/main/java/org/apache/kafka/server/share/dlq/ShareGroupDLQStateManager.java:
##########
@@ -653,6 +684,80 @@ private void handleProduceResponse(ClientResponse 
response) {
                     requestErrorResponse(clientResponseError.exception());
             }
         }
+
+        private void maybeFetchRecordData() {
+            if (cacheHelper.isShareGroupDlqCopyRecordEnabled(param.groupId())) 
{
+                // A non-null originalRecordData indicates that the data for 
the offsets was
+                // already fetched at a previous time. This could happen in 
case there was
+                // a retriable exception in a previous produce request, and it 
is being re-sent.
+                // This optimization will help in reducing LogReader.read 
calls. Note that an
+                // empty (but non-null) map means a previous fetch found no 
records in range
+                // (e.g. all offsets compacted away), so we still skip 
re-fetching in that case.
+                if (originalRecordData != null) {
+                    return;
+                }
+
+                long startTime = time.hiResClockMs();
+                TopicIdPartition tp = param.topicIdPartition();
+
+                FetchParams fetchParams = new FetchParams(
+                    FetchRequest.CONSUMER_REPLICA_ID,           // -1, reading 
as a consumer
+                    -1,                                         // replicaEpoch
+                    0L,                                         // maxWaitMs - 
don't block
+                    1,                                          // minBytes
+                    maxFetchBytes,                              // maxBytes
+                    FetchIsolation.HIGH_WATERMARK,              // committed 
only
+                    Optional.empty()                            // 
clientMetadata
+                );
+
+                long nextOffset = param.firstOffset();
+                long endOffset = param.lastOffset();
+                int recordCount = (int) (param.lastOffset() - 
param.firstOffset() + 1);
+
+                Map<Long, Record> recordMap = new HashMap<>(recordCount);
+                LinkedHashMap<TopicIdPartition, Long> offsets = new 
LinkedHashMap<>();
+                LinkedHashMap<TopicIdPartition, Integer> maxBytesMap = new 
LinkedHashMap<>();
+                maxBytesMap.put(tp, maxFetchBytes);
+
+                // We are fetching data for one TopicIdPartition only. Hence, 
there
+                // is no need to keep recreating the maxBytes map, and we can 
re-use a
+                // single copy. In similar vein, we needn't clear the offsets 
map
+                // either and just update the value corresponding to the 
TopicIdPartition
+                // key in offsets map within the while loop.
+                while (nextOffset <= endOffset) {
+                    offsets.put(tp, nextOffset);
+
+                    LinkedHashMap<TopicIdPartition, LogReadResult> result =
+                        logReader.read(fetchParams, Set.of(tp), offsets, 
maxBytesMap);
+
+                    LogReadResult res = result.get(param.topicIdPartition());
+                    if (res == null || res.error().code() != 
Errors.NONE.code()) {
+                        log.warn("Unable to fetch actual record at offset {} 
for handler {}.", nextOffset, this);
+                        return;
+                    }
+
+                    boolean done = false;
+                    for (RecordBatch batch : res.info().records.batches()) {
+                        for (Record record : batch) {

Review Comment:
   Do we have a jira for same to track?



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