Github user pwendell commented on a diff in the pull request:
https://github.com/apache/spark/pull/42#discussion_r10551815
--- Diff: core/src/main/scala/org/apache/spark/util/Utils.scala ---
@@ -895,4 +894,42 @@ private[spark] object Utils extends Logging {
}
count
}
+
+ /** Return the class name of the given object, removing all dollar signs
*/
+ def getFormattedClassName(obj: AnyRef) = {
+ obj.getClass.getSimpleName.replace("$", "")
+ }
+
+ def jsonOption(json: JValue): Option[JValue] = {
+ json match {
+ case JNothing => None
+ case value: JValue => Some(value)
+ }
+ }
+
+ def emptyJson = JObject(List[JField]())
+
+ /**
+ * Return a Hadoop FileSystem with the scheme encoded in the given path.
+ * File systems currently supported include HDFS, S3, and the local file
system.
+ */
+ def getHadoopFileSystem(path: URI): FileSystem = {
--- End diff --
Restricting us to specific filesystem's is not a good idea. There are many
implementations of the Hadoop FileSystem API that we expect people to use. Why
not just do something like:
```
val fs = FileSystem.get(uri, SparkHadoopUtil.get.newConfiguration())
```
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