Github user squito commented on a diff in the pull request:

    https://github.com/apache/spark/pull/4204#discussion_r23694090
  
    --- Diff: 
core/src/main/scala/org/apache/spark/storage/LocalFileSystem.scala ---
    @@ -0,0 +1,58 @@
    +/*
    + * Licensed to the Apache Software Foundation (ASF) under one or more
    + * contributor license agreements.  See the NOTICE file distributed with
    + * this work for additional information regarding copyright ownership.
    + * The ASF licenses this file to You under the Apache License, Version 2.0
    + * (the "License"); you may not use this file except in compliance with
    + * the License.  You may obtain a copy of the License at
    + *
    + *    http://www.apache.org/licenses/LICENSE-2.0
    + *
    + * Unless required by applicable law or agreed to in writing, software
    + * distributed under the License is distributed on an "AS IS" BASIS,
    + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    + * See the License for the specific language governing permissions and
    + * limitations under the License.
    + */
    +
    +package org.apache.spark.storage
    +
    +import scala.collection.mutable.ArrayBuffer
    +import org.apache.hadoop.fs.{LocalFileSystem => HadoopLocalFileSystem}
    +import org.apache.hadoop.fs.{Path, PathFilter, RemoteIterator, 
LocatedFileStatus}
    +
    +/**
    + * FileSystem for Spark that takes file ordering into account. This is 
because
    + * Hadoop MapReduce doesn't care about file ordering and HDFS may provide 
the
    + * file parts in order, but native filesystems may not. As Spark has a 
notion of
    + * ordering in RDDs (e.g. sortByKey), reading partitions out of order 
destroys
    + * these notions.
    + *
    + * We only need to override listLocatedStatus as this is called from
    + * FileInputFormat.singleThreadedListStatus and LocatedFileStatusFetcher.
    + */
    +class LocalFileSystem extends HadoopLocalFileSystem {
    +  override 
    +  def listLocatedStatus(path: Path) : RemoteIterator[LocatedFileStatus] = {
    +    val listing = super.listLocatedStatus(path)
    +    val builder = new ArrayBuffer[LocatedFileStatus]()
    +    while(listing.hasNext) {
    +      builder += listing.next
    +    }
    +    val sorted = builder.toArray.sortWith{ (lhs, rhs) => {
    --- End diff --
    
    Its easy enough to go make an `Ordering[Path]`, given that its already 
`Comparable`.  Just because the param *could* be an implicit doesn't mean it 
*has* to be:
    
    ```
    scala> val a = Array[Path]()
    a.sorted(new Ordering[Path]{def compare(x:Path, y:Path): Int = 
x.compareTo(y)})
    res4: Array[org.apache.hadoop.fs.Path] = Array()
    ```
    
    There is an automatic conversion from `Comparable[T]` to `Ordering[T]` -- I 
think the problem is that `Path` is un-parameterized `Comparable`:
    
    ```
    scala> abstract class Q extends Comparable[Q]
    defined class Q
    scala> implicitly[Ordering[Q]]
    res0: Ordering[Q] = scala.math.LowPriorityOrderingImplicits$$anon$6@48a22925
    ```
    
    anyhow, probably doesn't effect the code much in this case


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