erenavsarogullari commented on a change in pull request #34980:
URL: https://github.com/apache/spark/pull/34980#discussion_r776895636



##########
File path: core/src/main/scala/org/apache/spark/storage/BlockManager.scala
##########
@@ -926,30 +933,49 @@ private[spark] class BlockManager(
           })
           Some(new BlockResult(ci, DataReadMethod.Memory, info.size))
         } else if (level.useDisk && diskStore.contains(blockId)) {
-          val diskData = diskStore.getBytes(blockId)
-          val iterToReturn: Iterator[Any] = {
-            if (level.deserialized) {
-              val diskValues = serializerManager.dataDeserializeStream(
-                blockId,
-                diskData.toInputStream())(info.classTag)
-              maybeCacheDiskValuesInMemory(info, blockId, level, diskValues)
-            } else {
-              val stream = maybeCacheDiskBytesInMemory(info, blockId, level, 
diskData)
-                .map { _.toInputStream(dispose = false) }
-                .getOrElse { diskData.toInputStream() }
-              serializerManager.dataDeserializeStream(blockId, 
stream)(info.classTag)
+          try {
+            val diskData = diskStore.getBytes(blockId)
+            val iterToReturn: Iterator[Any] = {
+              if (level.deserialized) {
+                val diskValues = serializerManager.dataDeserializeStream(
+                  blockId,
+                  diskData.toInputStream())(info.classTag)
+                maybeCacheDiskValuesInMemory(info, blockId, level, diskValues)
+              } else {
+                val stream = maybeCacheDiskBytesInMemory(info, blockId, level, 
diskData)
+                  .map { _.toInputStream(dispose = false) }
+                  .getOrElse { diskData.toInputStream() }
+                serializerManager.dataDeserializeStream(blockId, 
stream)(info.classTag)
+              }
             }
+            val ci = CompletionIterator[Any, Iterator[Any]](iterToReturn, {
+              releaseLockAndDispose(blockId, diskData, taskContext)
+            })
+            Some(new BlockResult(ci, DataReadMethod.Disk, info.size))
+          } catch {
+            case ex: KryoException if ex.getCause.isInstanceOf[IOException] =>
+              // We need to have clear error message to catch environmental 
problems easily.
+              // Further details: 
https://issues.apache.org/jira/browse/SPARK-37710
+              processKryoException(ex, blockId)
+              throw ex
           }
-          val ci = CompletionIterator[Any, Iterator[Any]](iterToReturn, {
-            releaseLockAndDispose(blockId, diskData, taskContext)
-          })
-          Some(new BlockResult(ci, DataReadMethod.Disk, info.size))
         } else {
           handleLocalReadFailure(blockId)
         }
     }
   }
 
+  private def processKryoException(ex: KryoException, blockId: BlockId): Unit 
= {
+    var errorMessage = s"${ex.getMessage}. Please check if environment status 
is healthy " +
+      s"(e.g: disk corruption, network failure (etc)). " +
+      s"${blockManagerId.toString} - blockName: $blockId"
+    if (diskBlockManager.containsBlock(blockId)) {
+      val file = diskBlockManager.getFile(blockId)
+      errorMessage = errorMessage + s" - blockDiskPath: 
${file.getAbsolutePath}"
+    }
+    logError(errorMessage)

Review comment:
       Exactly, we can use `error/warn` in this case, however, not `info/debug`.
   
   This kind of problems are retried with `task-attempts` (3 attempts in our 
case). 
   - If I/O issue is `transient`, it can be recovered by next task-attempt. 
   - If it is not transient, it will fail `task/stage/job/query` (after all 
attempts).
   I think we can also use `warn` due to current task-retry flow (even if the 
first task attempt fails, flow will re-try until retry-limit).




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