swaminathanmanish commented on code in PR #19161:
URL: https://github.com/apache/pinot/pull/19161#discussion_r3749422082
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pinot-plugins/pinot-stream-ingestion/pinot-kafka-3.0/src/main/java/org/apache/pinot/plugin/stream/kafka30/KafkaPartitionLevelConsumer.java:
##########
@@ -165,15 +165,36 @@ public synchronized KafkaMessageBatch
fetchMessages(StreamPartitionMsgOffset sta
}
}
long offsetOfNextBatch = _nextReadOffset;
- // For read_uncommitted (the default), a non-contiguous returned batch
implies data
- // loss (records dropped before being read). For read_committed the offset
gap is
- // expected because the broker filters aborted transactional records, so
we don't flag
- // it as data loss.
- boolean hasDataLoss = !_isReadCommitted && firstOffset > startOffset;
+ // A gap between the requested startOffset and the first returned offset
does NOT by itself
+ // imply data loss. Transactional producers write commit/abort control
records that occupy
+ // offsets but are never delivered to the consumer (even under
read_uncommitted), so a
+ // contiguous stream of user records legitimately has offset gaps. Real
data loss only
+ // happens when the requested startOffset is below the log's start offset,
i.e. the broker
+ // has already deleted (via retention or truncation) records at or after
startOffset. For
+ // read_committed we never flag loss because aborted-record gaps are
always expected.
+ boolean hasDataLoss = false;
+ if (!_isReadCommitted && firstOffset > startOffset) {
+ hasDataLoss = getLogStartOffset(timeoutMs) > startOffset;
+ }
return new KafkaMessageBatch(filteredRecords, records.size(),
offsetOfNextBatch, firstOffset, lastMessageMetadata,
hasDataLoss, batchSizeInBytes);
}
+ /// Returns the log start (earliest available) offset for the partition,
bounded by the same
+ /// timeout as [#poll]. Returns [Long#MIN_VALUE] when it cannot be
determined so the caller
+ /// treats an offset gap as expected (no data loss) rather than raising a
false positive.
+ private long getLogStartOffset(int timeoutMs) {
+ try {
+ return _consumer.beginningOffsets(List.of(_topicPartition),
Duration.ofMillis(timeoutMs))
+ .getOrDefault(_topicPartition, Long.MIN_VALUE);
+ } catch (Exception e) {
+ if (LOGGER.isDebugEnabled()) {
+ LOGGER.debug("Failed to read log start offset for {}",
_topicPartition, e);
Review Comment:
Made this a warn msg. Hope it does not flood the log or we need a rate
limiter.
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