[SPARK-49399] Add pi-scala.yaml and pyspark-pi.yaml

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

This adds example Spark applications spec for Spark scala image, and adds an example for pyspark

### Why are the changes needed?

As of now, [Spark docker images](https://hub.docker.com/_/spark) are built with types of all / python / scala / r. While existing examples cover usage of Python image, this PR sets up examples for another image(scala). As R is being deprecated, operator now serves example for Python / scala images to avoid confusion.

Main example uses default image [4.0.0-preview1-scala2.13-java17-python3-ubuntu, 4.0.0-preview1-python3, 4.0.0-preview1](https://github.com/apache/spark-docker/blob/b9f1f8e8ebed1959c2be3864a114b52f67519092/4.0.0-preview1/scala2.13-java17-python3-ubuntu/Dockerfile) which includes Python:

examples/pi-scala.yaml uses scala image : [4.0.0-preview1-scala2.13-java17-ubuntu, 4.0.0-preview1-scala⁠](https://github.com/apache/spark-docker/blob/b9f1f8e8ebed1959c2be3864a114b52f67519092/4.0.0-preview1/scala2.13-java17-ubuntu/Dockerfile)

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

No - new release

### How was this patch tested?

CIs and integration tests

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

No.

Closes apache#108 from jiangzho/docs.

Authored-by: zhou-jiang <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>

Author: jiangzho

examples/pi-scala.yaml

@@ -0,0 +1,33 @@
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+apiVersion: spark.apache.org/v1alpha1
+kind: SparkApplication
+metadata:
+  name: pi-scala
+spec:
+  mainClass: "org.apache.spark.examples.SparkPi"
+  jars: "local:///opt/spark/examples/jars/spark-examples_2.13-4.0.0-preview1.jar"
+  sparkConf:
+    spark.dynamicAllocation.enabled: "true"
+    spark.dynamicAllocation.shuffleTracking.enabled: "true"
+    spark.dynamicAllocation.maxExecutors: "3"
+    spark.log.structuredLogging.enabled: "false"
+    spark.kubernetes.authenticate.driver.serviceAccountName: "spark"
+    spark.kubernetes.container.image: "spark:4.0.0-preview1-scala"
+  applicationTolerations:
+    resourceRetainPolicy: OnFailure
+  runtimeVersions:
+    scalaVersion: "2.13"
+    sparkVersion: "4.0.0-preview1"

examples/pyspark-pi.yaml

@@ -0,0 +1,31 @@
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+apiVersion: spark.apache.org/v1alpha1
+kind: SparkApplication
+metadata:
+  name: pi-python
+spec:
+  pyFiles: "local:///opt/spark/examples/src/main/python/pi.py"
+  sparkConf:
+    spark.dynamicAllocation.enabled: "true"
+    spark.dynamicAllocation.shuffleTracking.enabled: "true"
+    spark.dynamicAllocation.maxExecutors: "3"
+    spark.log.structuredLogging.enabled: "false"
+    spark.kubernetes.authenticate.driver.serviceAccountName: "spark"
+    spark.kubernetes.container.image: "spark:4.0.0-preview1"
+  applicationTolerations:
+    resourceRetainPolicy: OnFailure
+  runtimeVersions:
+    sparkVersion: "4.0.0-preview1"