kowshik commented on a change in pull request #9110:
URL: https://github.com/apache/kafka/pull/9110#discussion_r463914087



##########
File path: core/src/main/scala/kafka/log/Log.scala
##########
@@ -2227,14 +2210,17 @@ class Log(@volatile private var _dir: File,
    * @param segments The log segments to schedule for deletion
    * @param asyncDelete Whether the segment files should be deleted 
asynchronously
    */
-  private def removeAndDeleteSegments(segments: Iterable[LogSegment], 
asyncDelete: Boolean): Unit = {
+  private def removeAndDeleteSegments(segments: Iterable[LogSegment],
+                                      asyncDelete: Boolean,
+                                      reason: SegmentDeletionReason): Unit = {
     if (segments.nonEmpty) {
       lock synchronized {
         // As most callers hold an iterator into the `segments` collection and 
`removeAndDeleteSegment` mutates it by
         // removing the deleted segment, we should force materialization of 
the iterator here, so that results of the
         // iteration remain valid and deterministic.
         val toDelete = segments.toList
         toDelete.foreach { segment =>
+          info(s"${reason.reasonString(this, segment)}")

Review comment:
       If we passed in the deletion reason further into the 
`deleteSegmentFiles` method, it seems we can print the reason string just once 
for a batch of segments being deleted. And within the reason string, we can 
provide the reason for deleting the batch:
   
   
https://github.com/confluentinc/ce-kafka/blob/master/core/src/main/scala/kafka/log/Log.scala#L2519
   
https://github.com/confluentinc/ce-kafka/blob/master/core/src/main/scala/kafka/log/Log.scala#L2526
   
   ex: `info("Deleting segments due to $reason: ${segments.mkString(",")}"`
   
   where `$reason` provides `due to retention time 1200000ms breach`.
   
   The drawback is that sometimes we can not print segment-specific information 
since the error message is at a batch level. But generally it may be that 
segment-level deletion information could bloat our server logging, so it may be 
better to batch the logging instead.




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