rvesse commented on a change in pull request #23546: [SPARK-23153][K8s] Support 
client dependencies with a HCFS
URL: https://github.com/apache/spark/pull/23546#discussion_r248621402
 
 

 ##########
 File path: docs/running-on-kubernetes.md
 ##########
 @@ -193,8 +193,23 @@ If your application's dependencies are all hosted in 
remote locations like HDFS
 by their appropriate remote URIs. Also, application dependencies can be 
pre-mounted into custom-built Docker images.
 Those dependencies can be added to the classpath by referencing them with 
`local://` URIs and/or setting the
 `SPARK_EXTRA_CLASSPATH` environment variable in your Dockerfiles. The 
`local://` scheme is also required when referring to
-dependencies in custom-built Docker images in `spark-submit`. Note that using 
application dependencies from the submission
-client's local file system is currently not yet supported.
+dependencies in custom-built Docker images in `spark-submit`. We support 
dependencies from the submission
+client's local file system using the scheme `client://` where the destination 
should be a Hadoop compatibile fs.
+A typical example of this using S3 is via passing the following options:
+
+```
+...
+--packages com.amazonaws:aws-java-sdk:1.7.4,org.apache.hadoop:hadoop-aws:2.7.6
+--conf spark.hadoop.fs.s3a.access.key=...
+--conf spark.hadoop.fs.s3a.impl=org.apache.hadoop.fs.s3a.S3AFileSystem
+--conf spark.hadoop.fs.s3a.fast.upload=true
+--conf spark.hadoop.fs.s3a.secret.key=....
+ client:///full/path/to/app.jar
+```
+The app jar file will be uploaded to the S3 and then when the driver is 
launched it will be downloaded
+to the driver pod and will be added to its classpath.
+
+The client scheme is supported for the application jar, and dependencies 
specified by proeprties `spark.jars` and `spark.files`.
 
 Review comment:
   Typo: `proeprties` -> `properties`

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