HeartSaVioR commented on code in PR #41525:
URL: https://github.com/apache/spark/pull/41525#discussion_r1228758459
##########
connector/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/consumer/KafkaDataConsumer.scala:
##########
@@ -548,7 +572,10 @@ private[kafka010] class KafkaDataConsumer(
fetchedData: FetchedData,
offset: Long,
pollTimeoutMs: Long): Unit = {
- val (records, offsetAfterPoll, range) = consumer.fetch(offset,
pollTimeoutMs)
+ val (records, offsetAfterPoll, range) = timeNanos {
+ consumer.fetch(offset, pollTimeoutMs)
+ }
+ numPolls += 1
Review Comment:
I'd say we need to count the number of records here because we are focusing
on the interaction with Kafka, which effectiveness of the cache on fetched data
should not contribute.
##########
connector/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/consumer/KafkaDataConsumer.scala:
##########
@@ -569,7 +596,13 @@ private[kafka010] class KafkaDataConsumer(
}
private def retrieveConsumer(): Unit = {
- _consumer = Option(consumerPool.borrowObject(cacheKey, kafkaParams))
+ _consumer = timeNanos {
+ Option(consumerPool.borrowObject(cacheKey, kafkaParams))
+ }
+ startTimestampNano = System.nanoTime()
+ totalTimeReadNanos = 0
+ totalRecordsRead = 0
Review Comment:
nit: also add numPolls = 0, for consistency?
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