[KYUUBI apache#1458] Delta lake table columns won't show up in DBeaver.

<!--
Thanks for sending a pull request!

Here are some tips for you:
  1. If this is your first time, please read our contributor guidelines: https://kyuubi.readthedocs.io/en/latest/community/contributions.html
  2. If the PR is related to an issue in https://github.com/apache/incubator-kyuubi/issues, add '[KYUUBI #XXXX]' in your PR title, e.g., '[KYUUBI #XXXX] Your PR title ...'.
  3. If the PR is unfinished, add '[WIP]' in your PR title, e.g., '[WIP][KYUUBI #XXXX] Your PR title ...'.
-->

### _Why are the changes needed?_
<!--
Please clarify why the changes are needed. For instance,
  1. If you add a feature, you can talk about the use case of it.
  2. If you fix a bug, you can clarify why it is a bug.
  Delta lake table columns won't show up in DBeaver client. This fix will address this issue and able to view table columns in the DBeaver now.
-->

### _How was this patch tested?_
- [ ] Add some test cases that check the changes thoroughly including negative and positive cases if possible

- [ ] Add screenshots for manual tests if appropriate

- [x] [Run test](https://kyuubi.readthedocs.io/en/latest/develop_tools/testing.html#running-tests) locally before make a pull request

Closes apache#1476 from mmuru/delta-table-cols-dbeaver-fix.

Closes apache#1458

7801c70 [Muru Muthusamy] Reformatted to fix style issue.
4126da4 [Muru Muthusamy] Updated based on review feedback and added ignore case sensitive check.
28a4a12 [Muru Muthusamy] [KYUUBI#1458] Delta lake table columns won't show up in DBeaver.

Authored-by: Muru Muthusamy <mmuthusamy@womply.com>
Signed-off-by: Cheng Pan <chengpan@apache.org>

externals/kyuubi-spark-sql-engine/src/main/scala/org/apache/kyuubi/engine/spark/shim/CatalogShim_v2_4.scala

@@ -125,7 +125,13 @@ class CatalogShim_v2_4 extends SparkCatalogShim {
     databases.flatMap { db =>
       val identifiers = catalog.listTables(db, tablePattern, includeLocalTempViews = true)
       catalog.getTablesByName(identifiers).flatMap { t =>
-        t.schema.zipWithIndex.filter(f => columnPattern.matcher(f._1.name).matches())
+        val tableSchema =
+          if (t.provider.getOrElse("").equalsIgnoreCase("delta")) {
+            spark.table(t.identifier.table).schema
+          } else {
+            t.schema
+          }
+        tableSchema.zipWithIndex.filter(f => columnPattern.matcher(f._1.name).matches())
           .map { case (f, i) => toColumnResult(catalogName, t.database, t.identifier.table, f, i) }
       }
     }