[SPARK-34837][SQL][FOLLOWUP] Fix division by zero in the avg function over ANSI intervals

[beliefer]

What changes were proposed in this pull request?

#32229 support ANSI SQL intervals by the aggregate function avg.
But have not treat that the input zero rows. so this will lead to:

Caused by: java.lang.ArithmeticException: / by zero
	at com.google.common.math.LongMath.divide(LongMath.java:367)
	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.processNext(Unknown Source)
	at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
	at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:759)
	at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458)
	at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458)
	at org.apache.spark.util.Utils$.getIteratorSize(Utils.scala:1864)
	at org.apache.spark.rdd.RDD.$anonfun$count$1(RDD.scala:1253)
	at org.apache.spark.rdd.RDD.$anonfun$count$1$adapted(RDD.scala:1253)
	at org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2248)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
	at org.apache.spark.scheduler.Task.run(Task.scala:131)
	at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:498)
	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1437)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:501)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
	at java.lang.Thread.run(Thread.java:748)

Why are the changes needed?

Fix a bug.

Does this PR introduce any user-facing change?

No. Just new feature.

How was this patch tested?

new tests.

[MaxGekk]

How about to make PR title more precise:
[SPARK-34837][SQL][FOLLOWUP] Fix division by zero in the avg function over ANSI intervals

[SparkQA]

Kubernetes integration test starting
URL: https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder-K8s/42503/

[SparkQA]

Kubernetes integration test status failure
URL: https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder-K8s/42503/

[MaxGekk]

+1, LGTM. Merging to master.
Thank you, @beliefer .

[SparkQA]

Test build #137983 has finished for PR 32358 at commit 02d8282.

• This patch passes all tests.
• This patch merges cleanly.
• This patch adds no public classes.

[beliefer]

@MaxGekk Thanks for you review.