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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2019/07/18 10:23:57 UTC

[GitHub] [spark] cloud-fan commented on a change in pull request #25134: [SPARK-28366][CORE] Logging in driver when loading single large unsplittable file

cloud-fan 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_r304844650
 
 

 ##########
 File path: core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala
 ##########
 @@ -207,6 +210,15 @@ class HadoopRDD[K, V](
       } else {
         allInputSplits
       }
+      if (inputSplits.length == 1 && inputSplits(0).isInstanceOf[FileSplit]) {
+        val fileSplit = inputSplits(0).asInstanceOf[FileSplit]
+        val path = fileSplit.getPath
+        if (Utils.isFileSplittable(path, codecFactory)
 
 Review comment:
   do we really need to know it's splittable or not? If Spark is scanning files with a single giant partition, it's going to be very slow.

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