WeichenXu123 commented on a change in pull request #25134: [SPARK-28366][CORE] 
Logging in driver when loading single large unsplittable file
URL: https://github.com/apache/spark/pull/25134#discussion_r308195070
 
 

 ##########
 File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/TextBasedFileScan.scala
 ##########
 @@ -33,14 +34,16 @@ abstract class TextBasedFileScan(
     readPartitionSchema: StructType,
     options: CaseInsensitiveStringMap)
   extends FileScan(sparkSession, fileIndex, readDataSchema, 
readPartitionSchema) {
-  private var codecFactory: CompressionCodecFactory = _
+  @transient private lazy val codecFactory: CompressionCodecFactory = new 
CompressionCodecFactory(
+    sparkSession.sessionState.newHadoopConfWithOptions(options.asScala.toMap))
 
-  override def isSplitable(path: Path): Boolean = {
-    if (codecFactory == null) {
-      codecFactory = new CompressionCodecFactory(
-        
sparkSession.sessionState.newHadoopConfWithOptions(options.asScala.toMap))
+  override def isSplitable(path: Path): Boolean = Utils.isFileSplittable(path, 
codecFactory)
+
+  override def getFileUnSplittableReason(path: Path): String = {
+    if (!isSplitable(path)) {
+      "the file is compressed by unsplittable compression codec"
+    } else {
+      null
 
 Review comment:
   I update return type to be`Option[String]` (when file is splittable return 
`None`).
   So that it is more fit with scala style.

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