[SQL] [TEST] udf_java_method failed due to jdk version

java.lang.Math.exp(1.0) has different result between jdk versions. so do not use createQueryTest, write a separate test for it.
```
jdk version   	result
1.7.0_11		2.7182818284590455
1.7.0_05        2.7182818284590455
1.7.0_71		2.718281828459045
```

Author: scwf <[email protected]>

Closes #6274 from scwf/java_method and squashes the following commits:

3dd2516 [scwf] address comments
5fa1459 [scwf] style
df46445 [scwf] fix test error
fcb6d22 [scwf] fix udf_java_method

Author: scwf

sql/hive/compatibility/src/test/scala/org/apache/spark/sql/hive/execution/HiveCompatibilitySuite.scala

@@ -250,7 +250,10 @@ class HiveCompatibilitySuite extends HiveQueryFileTest with BeforeAndAfter {
 
     // The isolated classloader seemed to make some of our test reset mechanisms less robust.
     "combine1", // This test changes compression settings in a way that breaks all subsequent tests.
-    "load_dyn_part14.*" // These work alone but fail when run with other tests...
+    "load_dyn_part14.*", // These work alone but fail when run with other tests...
+
+    // the answer is sensitive for jdk version
+    "udf_java_method"
   ) ++ HiveShim.compatibilityBlackList
 
   /**
@@ -877,7 +880,6 @@ class HiveCompatibilitySuite extends HiveQueryFileTest with BeforeAndAfter {
     "udf_int",
     "udf_isnotnull",
     "udf_isnull",
-    "udf_java_method",
     "udf_lcase",
     "udf_length",
     "udf_lessthan",

sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala

@@ -20,13 +20,10 @@ package org.apache.spark.sql.hive.execution
 import java.io.File
 import java.util.{Locale, TimeZone}
 
-import org.apache.hadoop.hive.ql.udf.generic.GenericUDTF
-import org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorFactory
-import org.apache.hadoop.hive.serde2.objectinspector.{ObjectInspectorFactory, StructObjectInspector, ObjectInspector}
-import org.scalatest.BeforeAndAfter
-
 import scala.util.Try
 
+import org.scalatest.BeforeAndAfter
+
 import org.apache.hadoop.hive.conf.HiveConf.ConfVars
 
 import org.apache.spark.{SparkFiles, SparkException}

sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala

@@ -814,4 +814,27 @@ class SQLQuerySuite extends QueryTest {
       sql("SELECT cast(key+2 as Int) from df_analysis A group by cast(key+1 as int)")
     }
   }
+
+  // `Math.exp(1.0)` has different result for different jdk version, so not use createQueryTest
+  test("udf_java_method") {
+    checkAnswer(sql(
+      """
+        |SELECT java_method("java.lang.String", "valueOf", 1),
+        |       java_method("java.lang.String", "isEmpty"),
+        |       java_method("java.lang.Math", "max", 2, 3),
+        |       java_method("java.lang.Math", "min", 2, 3),
+        |       java_method("java.lang.Math", "round", 2.5),
+        |       java_method("java.lang.Math", "exp", 1.0),
+        |       java_method("java.lang.Math", "floor", 1.9)
+        |FROM src tablesample (1 rows)
+      """.stripMargin),
+      Row(
+        "1",
+        "true",
+        java.lang.Math.max(2, 3).toString,
+        java.lang.Math.min(2, 3).toString,
+        java.lang.Math.round(2.5).toString,
+        java.lang.Math.exp(1.0).toString,
+        java.lang.Math.floor(1.9).toString))
+  }
 }