Support MinMaxAnalysisUtil.analyzeIndex API

[sezruby]

What is the context for this pull request?

• Tracking Issue: n/a
• Parent Issue: n/a

What changes were proposed in this pull request?

Add MinMaxAnalysisUtil.analyzeIndex API to analyze min/max data layout of index data. It only supports covering index type.

This PR introduces the following API:

// spark session, index name, result format
displayHTML(MinMaxAnalysisUtil.analyzeIndex(spark, "zordertestindex3", "html"))

// spark session, index name, target column names, result format
displayHTML(MinMaxAnalysisUtil.analyzeIndex(spark, "zordertestindex3", Seq("colA"), "html"))

Without it, users may need to use a dummy filter query (like the following code) to check the index data and it's only for the selected index.

spark.enableHyperspace
val query = df.filter(col("colA").isNotNull) // Add filter condition for applying the index

displayHTML(MinMaxAnalysisUtil.analyze(query, Seq("colA", "colB"), format = "html")) 

Does this PR introduce any user-facing change?

Yes

How was this patch tested?

via notebook

[paryoja]

What if this is checked in the analyzeIndex? And is it possible to check supported index types more systemically?
If someone implement a new type of "CoveringIndex", it might be hard to come here to add it in the supported type.