[SPARK-48651][DOC] Configuring different JDK for Spark on YARN

[pan3793]

What changes were proposed in this pull request?

This PR updates the Spark on YARN docs to guide users to configure a different JDK for Spark Applications.

Why are the changes needed?

As of today, the latest Apache Hadoop 3.4.0 does not support Java 17 yet, while Spark 4.0.0 requires at least Java 17, so users who want to use Spark on YARN must configure a different JDK for Spark applications run on YARN.

This is also asked in the mailing list https://lists.apache.org/thread/ply807h0hht1h8o7x7g1s3j51mnot5dr

Does this PR introduce any user-facing change?

Yes, it changes the user docs.

How was this patch tested?

I verified the command in a YARN cluster.

The following command submits a Spark application with the distributed JDK 21

JAVA_HOME=/opt/openjdk-21 spark-submit \
  --master=yarn \
  --deploy-mode=cluster \
  --archives ./openjdk-21.tar.gz \
  --conf spark.yarn.appMasterEnv.JAVA_HOME=./openjdk-21.tar.gz/openjdk-21 \
  --conf spark.executorEnv.JAVA_HOME=./openjdk-21.tar.gz/openjdk-21 \
  --class org.apache.spark.examples.SparkPi \
  spark-examples*.jar 1

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

No.

[pan3793]

cc @cloud-fan @sunchao @mridulm @tgravescs @yaooqinn

[tgravescs]

lgtm

[pan3793]

@yaooqinn @tgravescs sorry for correcting this in 5bbe200 after your approval, I also updated the PR description to add the manual test result on a YARN cluster

[cloud-fan]

thanks, merging to master!