[SPARK-47495][CORE] Fix primary resource jar added to spark.jars twice under k8s cluster mode

### What changes were proposed in this pull request?

In `SparkSubmit`, for `isKubernetesClusterModeDriver` code path, stop appending primary resource to `spark.jars` to avoid duplicating the primary resource jar in `spark.jars`.

### Why are the changes needed?

#### Context:

To submit spark jobs to Kubernetes under cluster mode, the spark-submit will be called twice. The first time SparkSubmit will run under k8s cluster mode, it will append primary resource to `spark.jars` and call `KubernetesClientApplication::start`  to create a driver pod. The driver pod will run spark-submit again with the updated configurations (with the same application jar  but that jar will also be in the `spark.jars`). This time the SparkSubmit will run under client mode with `spark.kubernetes.submitInDriver`  as `true`. Under this mode, all the jars in `spark.jars` will be downloaded to driver and jars' urls will be replaced by the driver local paths. Later SparkSubmit will append primary resource to `spark.jars` again. So in this case, `spark.jars` will have 2 paths of duplicate copies of primary resource, one with the original url user submit with, the other with the driver local file path. Later when driver starts the `SparkContext` it will copy all the `spark.jars` to `spark.app.initial.jar.urls`, and replace the driver local jars paths in `spark.app.initial.jar.urls` with driver file service paths, with which the executor can download those driver local jars.

#### Issues:
The executor will download 2 duplicate copies of primary resource, one with the original url user submit with, the other with the driver local file path, which leads to resource waste.

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Unit test added.

### Was this patch authored or co-authored using generative AI tooling?

No

Closes #45607 from leletan/fix_k8s_submit_jar_distribution.

Lead-authored-by: jiale_tan <jiale_tan@apple.com>
Co-authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>

Author: jiale_tan

core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala

@@ -732,9 +732,10 @@ private[spark] class SparkSubmit extends Logging {
     }
 
     // Add the application jar automatically so the user doesn't have to call sc.addJar
+    // For isKubernetesClusterModeDriver, the jar is already added in the previous spark-submit
     // For YARN cluster mode, the jar is already distributed on each node as "app.jar"
     // For python and R files, the primary resource is already distributed as a regular file
-    if (!isYarnCluster && !args.isPython && !args.isR) {
+    if (!isKubernetesClusterModeDriver && !isYarnCluster && !args.isPython && !args.isR) {
       var jars = sparkConf.get(JARS)
       if (isUserJar(args.primaryResource)) {
         jars = jars ++ Seq(args.primaryResource)

core/src/test/scala/org/apache/spark/deploy/SparkSubmitSuite.scala

@@ -504,6 +504,25 @@ class SparkSubmitSuite
     }
   }
 
+  test("SPARK-47495: Not to add primary resource to jars again" +
+    " in k8s client mode & driver runs inside a POD") {
+    val clArgs = Seq(
+      "--deploy-mode", "client",
+      "--proxy-user", "test.user",
+      "--master", "k8s://host:port",
+      "--executor-memory", "1g",
+      "--class", "org.SomeClass",
+      "--driver-memory", "1g",
+      "--conf", "spark.kubernetes.submitInDriver=true",
+      "--jars", "src/test/resources/TestUDTF.jar",
+      "/home/jarToIgnore.jar",
+      "arg1")
+    val appArgs = new SparkSubmitArguments(clArgs)
+    val (_, _, sparkConf, _) = submit.prepareSubmitEnvironment(appArgs)
+    sparkConf.get("spark.jars").contains("jarToIgnore") shouldBe false
+    sparkConf.get("spark.jars").contains("TestUDTF") shouldBe true
+  }
+
   test("SPARK-33782: handles k8s files download to current directory") {
     val clArgs = Seq(
       "--deploy-mode", "client",