[SPARK-21767][TEST][SQL] Add Decimal Test For Avro in VersionSuite

## What changes were proposed in this pull request?
Decimal is a logical type of AVRO. We need to ensure the support of Hive's AVRO serde works well in Spark

## How was this patch tested?
N/A

Author: gatorsmile <gatorsmile@gmail.com>

Closes #18977 from gatorsmile/addAvroTest.

sql/hive/src/test/scala/org/apache/spark/sql/hive/client/VersionsSuite.scala

@@ -21,7 +21,6 @@ import java.io.{ByteArrayOutputStream, File, PrintStream}
 import java.net.URI
 
 import org.apache.hadoop.conf.Configuration
-import org.apache.hadoop.hive.common.StatsSetupConst
 import org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
 import org.apache.hadoop.hive.serde2.`lazy`.LazySimpleSerDe
 import org.apache.hadoop.mapred.TextInputFormat
@@ -697,6 +696,73 @@ class VersionsSuite extends SparkFunSuite with Logging {
         assert(versionSpark.table("t1").collect() === Array(Row(2)))
       }
     }
+
+    test(s"$version: Decimal support of Avro Hive serde") {
+      val tableName = "tab1"
+      // TODO: add the other logical types. For details, see the link:
+      // https://avro.apache.org/docs/1.8.1/spec.html#Logical+Types
+      val avroSchema =
+        """{
+          |  "name": "test_record",
+          |  "type": "record",
+          |  "fields": [ {
+          |    "name": "f0",
+          |    "type": [
+          |      "null",
+          |      {
+          |        "precision": 38,
+          |        "scale": 2,
+          |        "type": "bytes",
+          |        "logicalType": "decimal"
+          |      }
+          |    ]
+          |  } ]
+          |}
+        """.stripMargin
+
+      Seq(true, false).foreach { isPartitioned =>
+        withTable(tableName) {
+          val partitionClause = if (isPartitioned) "PARTITIONED BY (ds STRING)" else ""
+          // Creates the (non-)partitioned Avro table
+          versionSpark.sql(
+            s"""
+               |CREATE TABLE $tableName
+               |$partitionClause
+               |ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.avro.AvroSerDe'
+               |STORED AS
+               |  INPUTFORMAT 'org.apache.hadoop.hive.ql.io.avro.AvroContainerInputFormat'
+               |  OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.avro.AvroContainerOutputFormat'
+               |TBLPROPERTIES ('avro.schema.literal' = '$avroSchema')
+           """.stripMargin
+          )
+
+          val errorMsg = "data type mismatch: cannot cast DecimalType(2,1) to BinaryType"
+
+          if (isPartitioned) {
+            val insertStmt = s"INSERT OVERWRITE TABLE $tableName partition (ds='a') SELECT 1.3"
+            if (version == "0.12" || version == "0.13") {
+              val e = intercept[AnalysisException](versionSpark.sql(insertStmt)).getMessage
+              assert(e.contains(errorMsg))
+            } else {
+              versionSpark.sql(insertStmt)
+              assert(versionSpark.table(tableName).collect() ===
+                versionSpark.sql("SELECT 1.30, 'a'").collect())
+            }
+          } else {
+            val insertStmt = s"INSERT OVERWRITE TABLE $tableName SELECT 1.3"
+            if (version == "0.12" || version == "0.13") {
+              val e = intercept[AnalysisException](versionSpark.sql(insertStmt)).getMessage
+              assert(e.contains(errorMsg))
+            } else {
+              versionSpark.sql(insertStmt)
+              assert(versionSpark.table(tableName).collect() ===
+                versionSpark.sql("SELECT 1.30").collect())
+            }
+          }
+        }
+      }
+    }
+
     // TODO: add more tests.
   }
 }