jerrypeng commented on code in PR #38911: URL: https://github.com/apache/spark/pull/38911#discussion_r1041856979
########## connector/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaMicroBatchStream.scala: ########## @@ -316,6 +320,50 @@ private[kafka010] class KafkaMicroBatchStream( } } + private def assertEndOffsetForTriggerAvailableNow( + endPartitionOffsets: Map[TopicPartition, Long]): Unit = { + val tpsForPrefetched = allDataForTriggerAvailableNow.keySet + val tpsForEndOffset = endPartitionOffsets.keySet + + if (tpsForPrefetched != tpsForEndOffset) { + throw KafkaExceptions.topicPartitionsInEndOffsetAreNotSameWithPrefetched( + tpsForPrefetched, tpsForEndOffset) + } + + val endOffsetHasGreaterThanPrefetched = { + allDataForTriggerAvailableNow.keySet.exists { tp => + val offsetFromPrefetched = allDataForTriggerAvailableNow(tp) + val offsetFromEndOffset = endPartitionOffsets(tp) + offsetFromEndOffset > offsetFromPrefetched + } + } + if (endOffsetHasGreaterThanPrefetched) { + throw KafkaExceptions.endOffsetHasGreaterOffsetForTopicPartitionThanPrefetched( + allDataForTriggerAvailableNow, endPartitionOffsets) + } + + val latestOffsets = kafkaOffsetReader.fetchLatestOffsets(Some(endPartitionOffsets)) Review Comment: Why do we need to fetch the latest offset from Kafka again? This will add additional latency. I know its trigger available now but what does this buy us? -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org