[SPARK-52647] Fix jvmArgs to support multiple arguments

[dongjoon-hyun]

What changes were proposed in this pull request?

This PR aims to fix jvmArgs parameter to support multiple arguments.

spark-kubernetes-operator/build-tools/helm/spark-kubernetes-operator/templates/spark-operator.yaml

Lines 104 to 105 in a50f453

	- name: OPERATOR_JAVA_OPTS
	value: {{ .Values.operatorDeployment.operatorPod.operatorContainer.jvmArgs }}

Why are the changes needed?

The previous syntax, "$OPERATOR_JAVA_OPTS", cannot handle multiple Java options.

spark-kubernetes-operator/build-tools/docker/docker-entrypoint.sh

Line 29 in a50f453

exec java -cp "./$SPARK_OPERATOR_JAR" "$LOG_CONFIG" "$OPERATOR_JAVA_OPTS" org.apache.spark.k8s.operator.SparkOperator

$ cat test.sh
OPERATOR_JAVA_OPTS="-Dfile.encoding=UTF8 -XX:+ExitOnOutOfMemoryError"
exec java "$OPERATOR_JAVA_OPTS" -XX:+PrintFlagsFinal -version

$ sh test.sh | grep ExitOnOutOfMemoryError
     bool ExitOnOutOfMemoryError                   = false                                     {product} {default}
openjdk version "21.0.7" 2025-04-15
OpenJDK Runtime Environment Homebrew (build 21.0.7)
OpenJDK 64-Bit Server VM Homebrew (build 21.0.7, mixed mode, sharing)

Does this PR introduce any user-facing change?

Yes. This is a bug fix.

How was this patch tested?

Manual review because JVM option check is a little tricky.

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

No.

[dongjoon-hyun]

The previous syntax cannot handle multiple Java options.

$ cat test.sh
OPERATOR_JAVA_OPTS="-Dfile.encoding=UTF8 -XX:+ExitOnOutOfMemoryError"
exec java "$OPERATOR_JAVA_OPTS" -XX:+PrintFlagsFinal -version

$ sh test.sh | grep ExitOnOutOfMemoryError
     bool ExitOnOutOfMemoryError                   = false                                     {product} {default}
openjdk version "21.0.7" 2025-04-15
OpenJDK Runtime Environment Homebrew (build 21.0.7)
OpenJDK 64-Bit Server VM Homebrew (build 21.0.7, mixed mode, sharing)

[dongjoon-hyun]

cc @viirya , @peter-toth , @jiangzho

[dongjoon-hyun]

Thank you, @viirya .
Merged to main.