diff --git a/core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala b/core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala
index 38b57c1a01279..e8410093d92fa 100644
--- a/core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala
+++ b/core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala
@@ -325,7 +325,7 @@ object SparkSubmit extends CommandLineUtils {
     // Require all python files to be local, so we can add them to the PYTHONPATH
     // In YARN cluster mode, python files are distributed as regular files, which can be non-local.
     // In Mesos cluster mode, non-local python files are automatically downloaded by Mesos.
-    if (args.isPython && !isYarnCluster && !isMesosCluster) {
+    if (args.isPython && !isYarnCluster && !isMesosCluster && !isKubernetesCluster) {
       if (Utils.nonLocalPaths(args.primaryResource).nonEmpty) {
         printErrorAndExit(s"Only local python files are supported: ${args.primaryResource}")
       }
@@ -336,7 +336,7 @@ object SparkSubmit extends CommandLineUtils {
     }
 
     // Require all R files to be local
-    if (args.isR && !isYarnCluster && !isMesosCluster) {
+    if (args.isR && !isYarnCluster && !isMesosCluster && !isKubernetesCluster) {
       if (Utils.nonLocalPaths(args.primaryResource).nonEmpty) {
         printErrorAndExit(s"Only local R files are supported: ${args.primaryResource}")
       }
@@ -682,10 +682,10 @@ object SparkSubmit extends CommandLineUtils {
     // explicitly sets `spark.submit.pyFiles` in his/her default properties file.
     sysProps.get("spark.submit.pyFiles").foreach { pyFiles =>
       val resolvedPyFiles = Utils.resolveURIs(pyFiles)
-      val formattedPyFiles = if (!isYarnCluster && !isMesosCluster) {
+      val formattedPyFiles = if (!isYarnCluster && !isMesosCluster && !isKubernetesCluster) {
         PythonRunner.formatPaths(resolvedPyFiles).mkString(",")
       } else {
-        // Ignoring formatting python path in yarn and mesos cluster mode, these two modes
+        // Ignoring formatting python path in yarn, mesos, and kubernetes cluster mode, these modes
         // support dealing with remote python files, they could distribute and add python files
         // locally.
         resolvedPyFiles