Github user HyukjinKwon commented on a diff in the pull request: https://github.com/apache/spark/pull/15131#discussion_r79731142 --- Diff: core/src/main/scala/org/apache/spark/SparkContext.scala --- @@ -1426,7 +1426,7 @@ class SparkContext(config: SparkConf) extends Logging with ExecutorAllocationCli * supported for Hadoop-supported filesystems. */ def addFile(path: String, recursive: Boolean): Unit = { - val uri = new URI(path) + val uri = new Path(path).toUri --- End diff -- I do understand your concern @felixcheung. However, IMHO, it'd be okay to not test Hadoop library within Spark. I will try to find some tests/documentation related with Windows path and then will share to make sure. FWIW, this case was verified by one of comitters before for Windows path. So, it'd be okay.
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