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?



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