diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/JavaTypeInference.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/JavaTypeInference.scala
index 625c8d3a62125..9a3f9694e4c48 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/JavaTypeInference.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/JavaTypeInference.scala
@@ -38,12 +38,21 @@ private [sql] object JavaTypeInference {
   private val keySetReturnType = classOf[JMap[_, _]].getMethod("keySet").getGenericReturnType
   private val valuesReturnType = classOf[JMap[_, _]].getMethod("values").getGenericReturnType
 
+  /**
+   * Infers the corresponding SQL data type of a JavaClean class.
+   * @param beanClass Java type
+   * @return (SQL data type, nullable)
+   */
+  def inferDataType(beanClass: Class[_]): (DataType, Boolean) = {
+    inferDataType(TypeToken.of(beanClass))
+  }
+
   /**
    * Infers the corresponding SQL data type of a Java type.
    * @param typeToken Java type
    * @return (SQL data type, nullable)
    */
-  private [sql] def inferDataType(typeToken: TypeToken[_]): (DataType, Boolean) = {
+  private def inferDataType(typeToken: TypeToken[_]): (DataType, Boolean) = {
     // TODO: All of this could probably be moved to Catalyst as it is mostly not Spark specific.
     typeToken.getRawType match {
       case c: Class[_] if c.isAnnotationPresent(classOf[SQLUserDefinedType]) =>
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/SQLContext.scala b/sql/core/src/main/scala/org/apache/spark/sql/SQLContext.scala
index 3935f7b321b85..15c30352bee69 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/SQLContext.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/SQLContext.scala
@@ -27,8 +27,6 @@ import scala.language.implicitConversions
 import scala.reflect.runtime.universe.TypeTag
 import scala.util.control.NonFatal
 
-import com.google.common.reflect.TypeToken
-
 import org.apache.spark.SparkContext
 import org.apache.spark.annotation.{DeveloperApi, Experimental}
 import org.apache.spark.api.java.{JavaRDD, JavaSparkContext}
@@ -1011,7 +1009,7 @@ class SQLContext(@transient val sparkContext: SparkContext)
    * Returns a Catalyst Schema for the given java bean class.
    */
   protected def getSchema(beanClass: Class[_]): Seq[AttributeReference] = {
-    val (dataType, _) = JavaTypeInference.inferDataType(TypeToken.of(beanClass))
+    val (dataType, _) = JavaTypeInference.inferDataType(beanClass)
     dataType.asInstanceOf[StructType].fields.map { f =>
       AttributeReference(f.name, f.dataType, f.nullable)()
     }