Revert [SPARK-23094] Fix invalid character handling in JsonDataSource

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/CreateJacksonParser.scala

@@ -40,11 +40,10 @@ private[sql] object CreateJacksonParser extends Serializable {
   }
 
   def text(jsonFactory: JsonFactory, record: Text): JsonParser = {
-    val bain = new ByteArrayInputStream(record.getBytes, 0, record.getLength)
-    jsonFactory.createParser(new InputStreamReader(bain, "UTF-8"))
+    jsonFactory.createParser(record.getBytes, 0, record.getLength)
   }
 
   def inputStream(jsonFactory: JsonFactory, record: InputStream): JsonParser = {
-    jsonFactory.createParser(new InputStreamReader(record, "UTF-8"))
+    jsonFactory.createParser(record)
   }
 }

sql/hive/src/test/scala/org/apache/spark/sql/sources/JsonHadoopFsRelationSuite.scala

@@ -28,8 +28,6 @@ import org.apache.spark.sql.types._
 class JsonHadoopFsRelationSuite extends HadoopFsRelationTest {
   override val dataSourceName: String = "json"
 
-  private val badJson = "\u0000\u0000\u0000A\u0001AAA"
-
   // JSON does not write data of NullType and does not play well with BinaryType.
   override protected def supportsDataType(dataType: DataType): Boolean = dataType match {
     case _: NullType => false
@@ -107,36 +105,4 @@ class JsonHadoopFsRelationSuite extends HadoopFsRelationTest {
       )
     }
   }
-
-  test("invalid json with leading nulls - from file (multiLine=true)") {
-    import testImplicits._
-    withTempDir { tempDir =>
-      val path = tempDir.getAbsolutePath
-      Seq(badJson, """{"a":1}""").toDS().write.mode("overwrite").text(path)
-      val expected = s"""$badJson\n{"a":1}\n"""
-      val schema = new StructType().add("a", IntegerType).add("_corrupt_record", StringType)
-      val df =
-        spark.read.format(dataSourceName).option("multiLine", true).schema(schema).load(path)
-      checkAnswer(df, Row(null, expected))
-    }
-  }
-
-  test("invalid json with leading nulls - from file (multiLine=false)") {
-    import testImplicits._
-    withTempDir { tempDir =>
-      val path = tempDir.getAbsolutePath
-      Seq(badJson, """{"a":1}""").toDS().write.mode("overwrite").text(path)
-      val schema = new StructType().add("a", IntegerType).add("_corrupt_record", StringType)
-      val df =
-        spark.read.format(dataSourceName).option("multiLine", false).schema(schema).load(path)
-      checkAnswer(df, Seq(Row(1, null), Row(null, badJson)))
-    }
-  }
-
-  test("invalid json with leading nulls - from dataset") {
-    import testImplicits._
-    checkAnswer(
-      spark.read.json(Seq(badJson).toDS()),
-      Row(badJson))
-  }
 }