[SPARK-39178][CORE] SparkFatalException should show root cause when p…

…rint error stack

### What changes were proposed in this pull request?
Our user meet an case when running broadcast, throw `SparkFatalException`, but in error stack, it don't show the error case.

### Why are the changes needed?
Make exception more clear

### Does this PR introduce _any_ user-facing change?
User can got root cause when application throw `SparkFatalException`.

### How was this patch tested?
For ut
```
  test("xxxx") {
    throw new SparkFatalException(
      new OutOfMemoryError("Not enough memory to build and broadcast the table to all " +
      "worker nodes. As a workaround, you can either disable broadcast by setting " +
      s"driver memory by setting ${SparkLauncher.DRIVER_MEMORY} to a higher value.")
      .initCause(null))
  }
```

Before this pr:
```
[info]   org.apache.spark.util.SparkFatalException:
[info]   at org.apache.spark.SparkContextSuite.$anonfun$new$1(SparkContextSuite.scala:59)
[info]   at org.scalatest.OutcomeOf.outcomeOf(OutcomeOf.scala:85)
[info]   at org.scalatest.OutcomeOf.outcomeOf$(OutcomeOf.scala:83)
[info]   at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
[info]   at org.scalatest.Transformer.apply(Transformer.scala:22)
[info]   at org.scalatest.Transformer.apply(Transformer.scala:20)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike$$anon$1.apply(AnyFunSuiteLike.scala:190)
[info]   at org.apache.spark.SparkFunSuite.withFixture(SparkFunSuite.scala:203)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.invokeWithFixture$1(AnyFunSuiteLike.scala:188)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.$anonfun$runTest$1(AnyFunSuiteLike.scala:200)
[info]   at org.scalatest.SuperEngine.runTestImpl(Engine.scala:306)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.runTest(AnyFunSuiteLike.scala:200)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.runTest$(AnyFunSuiteLike.scala:182)
[info]   at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterEach$$super$runTest(SparkFunSuite.scala:64)
[info]   at org.scalatest.BeforeAndAfterEach.runTest(BeforeAndAfterEach.scala:234)
[info]   at org.scalatest.BeforeAndAfterEach.runTest$(BeforeAndAfterEach.scala:227)
[info]   at org.apache.spark.SparkFunSuite.runTest(SparkFunSuite.scala:64)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.$anonfun$runTests$1(AnyFunSuiteLike.scala:233)
[info]   at org.scalatest.SuperEngine.$anonfun$runTestsInBranch$1(Engine.scala:413)
[info]   at scala.collection.immutable.List.foreach(List.scala:431)
[info]   at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:401)
[info]   at org.scalatest.SuperEngine.runTestsInBranch(Engine.scala:396)
[info]   at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:475)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.runTests(AnyFunSuiteLike.scala:233)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.runTests$(AnyFunSuiteLike.scala:232)
[info]   at org.scalatest.funsuite.AnyFunSuite.runTests(AnyFunSuite.scala:1563)
[info]   at org.scalatest.Suite.run(Suite.scala:1112)
```

After this pr:
```
[info]   org.apache.spark.util.SparkFatalException: java.lang.OutOfMemoryError: Not enough memory to build and broadcast the table to all worker nodes. As a workaround, you can either disable broadcast by setting driver memory by setting spark.driver.memory to a higher value.
[info]   at org.apache.spark.SparkContextSuite.$anonfun$new$1(SparkContextSuite.scala:59)
[info]   at org.scalatest.OutcomeOf.outcomeOf(OutcomeOf.scala:85)
[info]   at org.scalatest.OutcomeOf.outcomeOf$(OutcomeOf.scala:83)
[info]   at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
[info]   at org.scalatest.Transformer.apply(Transformer.scala:22)
[info]   at org.scalatest.Transformer.apply(Transformer.scala:20)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike$$anon$1.apply(AnyFunSuiteLike.scala:190)
[info]   at org.apache.spark.SparkFunSuite.withFixture(SparkFunSuite.scala:203)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.invokeWithFixture$1(AnyFunSuiteLike.scala:188)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.$anonfun$runTest$1(AnyFunSuiteLike.scala:200)
[info]   at org.scalatest.SuperEngine.runTestImpl(Engine.scala:306)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.runTest(AnyFunSuiteLike.scala:200)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.runTest$(AnyFunSuiteLike.scala:182)
[info]   at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterEach$$super$runTest(SparkFunSuite.scala:64)
[info]   at org.scalatest.BeforeAndAfterEach.runTest(BeforeAndAfterEach.scala:234)
[info]   at org.scalatest.BeforeAndAfterEach.runTest$(BeforeAndAfterEach.scala:227)
[info]   at org.apache.spark.SparkFunSuite.runTest(SparkFunSuite.scala:64)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.$anonfun$runTests$1(AnyFunSuiteLike.scala:233)
[info]   at org.scalatest.SuperEngine.$anonfun$runTestsInBranch$1(Engine.scala:413)
[info]   at scala.collection.immutable.List.foreach(List.scala:431)
[info]   at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:401)
[info]   at org.scalatest.SuperEngine.runTestsInBranch(Engine.scala:396)
[info]   at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:475)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.runTests(AnyFunSuiteLike.scala:233)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.runTests$(AnyFunSuiteLike.scala:232)
[info]   at org.scalatest.funsuite.AnyFunSuite.runTests(AnyFunSuite.scala:1563)
[info]   at org.scalatest.Suite.run(Suite.scala:1112)
[info]   at org.scalatest.Suite.run$(Suite.scala:1094)
[info]   at org.scalatest.funsuite.AnyFunSuite.org$scalatest$funsuite$AnyFunSuiteLike$$super$run(AnyFunSuite.scala:1563)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.$anonfun$run$1(AnyFunSuiteLike.scala:237)
[info]   at org.scalatest.SuperEngine.runImpl(Engine.scala:535)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.run(AnyFunSuiteLike.scala:237)
[info]   at org.scalatest.funsuite.AnyFunSuiteLike.run$(AnyFunSuiteLike.scala:236)
[info]   at org.apache.spark.SparkFunSuite.org$scalatest$BeforeAndAfterAll$$super$run(SparkFunSuite.scala:64)
[info]   at org.scalatest.BeforeAndAfterAll.liftedTree1$1(BeforeAndAfterAll.scala:213)
[info]   at org.scalatest.BeforeAndAfterAll.run(BeforeAndAfterAll.scala:210)
[info]   at org.scalatest.BeforeAndAfterAll.run$(BeforeAndAfterAll.scala:208)
[info]   at org.apache.spark.SparkFunSuite.run(SparkFunSuite.scala:64)
[info]   at org.scalatest.tools.Framework.org$scalatest$tools$Framework$$runSuite(Framework.scala:318)
[info]   at org.scalatest.tools.Framework$ScalaTestTask.execute(Framework.scala:513)
[info]   at sbt.ForkMain$Run.lambda$runTest$1(ForkMain.java:413)
[info]   at java.util.concurrent.FutureTask.run(FutureTask.java:266)
[info]   at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
[info]   at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
[info]   at java.lang.Thread.run(Thread.java:748)
[info]   Cause: java.lang.OutOfMemoryError: Not enough memory to build and broadcast the table to all worker nodes. As a workaround, you can either disable broadcast by setting driver memory by setting spark.driver.memory to a higher value.
[info]   at org.apache.spark.SparkContextSuite.$anonfun$new$1(SparkContextSuite.scala:58)
```

Closes apache#36539 from AngersZhuuuu/SPARK-39178.

Authored-by: Angerszhuuuu <[email protected]>
Signed-off-by: Max Gekk <[email protected]>

core/src/main/scala/org/apache/spark/util/SparkFatalException.scala

@@ -24,4 +24,5 @@ package org.apache.spark.util
  * which is run by using ThreadUtils.awaitResult. ThreadUtils.awaitResult will catch
  * it and re-throw the original exception/error.
  */
-private[spark] final class SparkFatalException(val throwable: Throwable) extends Exception
+private[spark] final class SparkFatalException(val throwable: Throwable)
+  extends Exception(throwable)