[SPARK-43868][SQL][TESTS] Remove originalUDFs from TestHive to ensure ObjectHashAggregateExecBenchmark can run successfully on Github Action

### What changes were proposed in this pull request?
This pr remove `originalUDFs` from `TestHive` to ensure `ObjectHashAggregateExecBenchmark` can run successfully on Github Action.

### Why are the changes needed?
After SPARK-43225, `org.codehaus.jackson:jackson-mapper-asl` becomes a test scope dependency, so when using GA to run benchmark, it is not in the classpath because GA uses

https://github.com/apache/spark/blob/d61c77cac17029ee27319e6b766b48d314a4dd31/.github/workflows/benchmark.yml#L179-L183

iunstead of the sbt `Test/runMain`.

`ObjectHashAggregateExecBenchmark` used `TestHive`, and `TestHive` will always call `org.apache.hadoop.hive.ql.exec.FunctionRegistry#getFunctionNames` to init `originalUDFs` before this pr, so when we run `ObjectHashAggregateExecBenchmark` on GitHub Actions, there will be the following exceptions:

```
Error: Exception in thread "main" java.lang.NoClassDefFoundError: org/codehaus/jackson/map/type/TypeFactory
	at org.apache.hadoop.hive.ql.udf.UDFJson.<clinit>(UDFJson.java:64)
	at java.lang.Class.forName0(Native Method)
	at java.lang.Class.forName(Class.java:348)
	at org.apache.hadoop.hive.ql.udf.generic.GenericUDFBridge.getUdfClassInternal(GenericUDFBridge.java:142)
	at org.apache.hadoop.hive.ql.udf.generic.GenericUDFBridge.getUdfClass(GenericUDFBridge.java:132)
	at org.apache.hadoop.hive.ql.exec.FunctionInfo.getFunctionClass(FunctionInfo.java:151)
	at org.apache.hadoop.hive.ql.exec.Registry.addFunction(Registry.java:519)
	at org.apache.hadoop.hive.ql.exec.Registry.registerUDF(Registry.java:163)
	at org.apache.hadoop.hive.ql.exec.Registry.registerUDF(Registry.java:154)
	at org.apache.hadoop.hive.ql.exec.Registry.registerUDF(Registry.java:147)
	at org.apache.hadoop.hive.ql.exec.FunctionRegistry.<clinit>(FunctionRegistry.java:322)
	at org.apache.spark.sql.hive.test.TestHiveSparkSession.<init>(TestHive.scala:530)
	at org.apache.spark.sql.hive.test.TestHiveSparkSession.<init>(TestHive.scala:185)
	at org.apache.spark.sql.hive.test.TestHiveContext.<init>(TestHive.scala:133)
	at org.apache.spark.sql.hive.test.TestHive$.<init>(TestHive.scala:54)
	at org.apache.spark.sql.hive.test.TestHive$.<clinit>(TestHive.scala:53)
	at org.apache.spark.sql.execution.benchmark.ObjectHashAggregateExecBenchmark$.getSparkSession(ObjectHashAggregateExecBenchmark.scala:47)
	at org.apache.spark.sql.execution.benchmark.SqlBasedBenchmark.$init$(SqlBasedBenchmark.scala:35)
	at org.apache.spark.sql.execution.benchmark.ObjectHashAggregateExecBenchmark$.<clinit>(ObjectHashAggregateExecBenchmark.scala:45)
	at org.apache.spark.sql.execution.benchmark.ObjectHashAggregateExecBenchmark.main(ObjectHashAggregateExecBenchmark.scala)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at org.apache.spark.benchmark.Benchmarks$.$anonfun$main$7(Benchmarks.scala:128)
	at scala.collection.ArrayOps$.foreach$extension(ArrayOps.scala:1328)
	at org.apache.spark.benchmark.Benchmarks$.main(Benchmarks.scala:91)
	at org.apache.spark.benchmark.Benchmarks.main(Benchmarks.scala)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
	at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:1025)
	at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:192)
	at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:215)
	at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:91)
	at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1116)
	at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1125)
	at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.ClassNotFoundException: org.codehaus.jackson.map.type.TypeFactory
	at java.net.URLClassLoader.findClass(URLClassLoader.java:387)
	at java.lang.ClassLoader.loadClass(ClassLoader.java:418)
	at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:352)
	at java.lang.ClassLoader.loadClass(ClassLoader.java:351)
	... 40 more
```

Then I found that `originalUDFs` is a unused val in `TestHive` now(SPARK-1251 | apache#6920 introduced it and become unused after SPARK-20667 | apache#17908), so this pr remove it from `TestHive` to avoid calling `FunctionRegistry#getFunctionNames`.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
- Pass GitHub Actions
- Run `ObjectHashAggregateExecBenchmark` on Github Action:

**Before**

https://github.com/LuciferYang/spark/actions/runs/5128228630/jobs/9224706982

<img width="1181" alt="image" src="https://github.com/apache/spark/assets/1475305/02a58e3c-2dad-4ad4-85e4-f8576a5aabed">

**After**

https://github.com/LuciferYang/spark/actions/runs/5128227211/jobs/9224704507

<img width="1282" alt="image" src="https://github.com/apache/spark/assets/1475305/27c70ec6-e55d-4a19-a6c3-e892789b97f7">

`ObjectHashAggregateExecBenchmark` run successfully.

Closes apache#41369 from LuciferYang/hive-udf.

Lead-authored-by: yangjie01 <[email protected]>
Co-authored-by: YangJie <[email protected]>
Signed-off-by: Yuming Wang <[email protected]>

Author: LuciferYang

sql/hive/src/test/scala/org/apache/spark/sql/hive/test/TestHive.scala

@@ -19,15 +19,13 @@ package org.apache.spark.sql.hive.test
 
 import java.io.File
 import java.net.URI
-import java.util.{Set => JavaSet}
 
 import scala.collection.JavaConverters._
 import scala.collection.mutable
 
 import org.apache.hadoop.conf.Configuration
 import org.apache.hadoop.fs.Path
 import org.apache.hadoop.hive.conf.HiveConf.ConfVars
-import org.apache.hadoop.hive.ql.exec.FunctionRegistry
 import org.apache.hadoop.hive.serde2.`lazy`.LazySimpleSerDe
 
 import org.apache.spark.{SparkConf, SparkContext}
@@ -523,12 +521,6 @@ private[hive] class TestHiveSparkSession(
     }
   }
 
-  /**
-   * Records the UDFs present when the server starts, so we can delete ones that are created by
-   * tests.
-   */
-  protected val originalUDFs: JavaSet[String] = FunctionRegistry.getFunctionNames
-
   /**
    * Resets the test instance by deleting any table, view, temp view, and UDF that have been created
    */