## What changes were proposed in this pull request?
In the current Spark, when submitting application on YARN with remote resources `./bin/spark-shell --jars http://central.maven.org/maven2/com/github/swagger-akka-http/swagger-akka-http_2.11/0.10.1/swagger-akka-http_2.11-0.10.1.jar --master yarn-client -v`, Spark will be failed with:
```
java.io.IOException: No FileSystem for scheme: http
at org.apache.hadoop.fs.FileSystem.getFileSystemClass(FileSystem.java:2586)
at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2593)
at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:91)
at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2632)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2614)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:370)
at org.apache.hadoop.fs.Path.getFileSystem(Path.java:296)
at org.apache.spark.deploy.yarn.Client.copyFileToRemote(Client.scala:354)
at org.apache.spark.deploy.yarn.Client.org$apache$spark$deploy$yarn$Client$$distribute$1(Client.scala:478)
at org.apache.spark.deploy.yarn.Client$$anonfun$prepareLocalResources$11$$anonfun$apply$6.apply(Client.scala:600)
at org.apache.spark.deploy.yarn.Client$$anonfun$prepareLocalResources$11$$anonfun$apply$6.apply(Client.scala:599)
at scala.collection.mutable.ArraySeq.foreach(ArraySeq.scala:74)
at org.apache.spark.deploy.yarn.Client$$anonfun$prepareLocalResources$11.apply(Client.scala:599)
at org.apache.spark.deploy.yarn.Client$$anonfun$prepareLocalResources$11.apply(Client.scala:598)
at scala.collection.immutable.List.foreach(List.scala:381)
at org.apache.spark.deploy.yarn.Client.prepareLocalResources(Client.scala:598)
at org.apache.spark.deploy.yarn.Client.createContainerLaunchContext(Client.scala:848)
at org.apache.spark.deploy.yarn.Client.submitApplication(Client.scala:173)
```
This is because `YARN#client` assumes resources are on the Hadoop compatible FS. To fix this problem, here propose to download remote http(s) resources to local and add this local downloaded resources to dist cache. This solution has one downside: remote resources are downloaded and uploaded again, but it only restricted to only remote http(s) resources, also the overhead is not so big. The advantages of this solution is that it is simple and the code changes restricts to only `SparkSubmit`.
## How was this patch tested?
Unit test added, also verified in local cluster.
Author: jerryshao <sshao@hortonworks.com>
Closes#19130 from jerryshao/SPARK-21917.
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