1 files changed, 17 insertions, 0 deletions
diff --git a/mllib/src/main/scala/org/apache/spark/ml/util/SchemaUtils.scala b/mllib/src/main/scala/org/apache/spark/ml/util/SchemaUtils.scala
index 76f651488a..e71dd9eee0 100644
--- a/mllib/src/main/scala/org/apache/spark/ml/util/SchemaUtils.scala
+++ b/mllib/src/main/scala/org/apache/spark/ml/util/SchemaUtils.scala
@@ -44,6 +44,23 @@ private[spark] object SchemaUtils {
   }
 
   /**
+    * Check whether the given schema contains a column of one of the require data types.
+    * @param colName  column name
+    * @param dataTypes  required column data types
+    */
+  def checkColumnTypes(
+      schema: StructType,
+      colName: String,
+      dataTypes: Seq[DataType],
+      msg: String = ""): Unit = {
+    val actualDataType = schema(colName).dataType
+    val message = if (msg != null && msg.trim.length > 0) " " + msg else ""
+    require(dataTypes.exists(actualDataType.equals),
+      s"Column $colName must be of type equal to one of the following types: " +
+        s"${dataTypes.mkString("[", ", ", "]")} but was actually of type $actualDataType.$message")
+  }
+
+  /**
    * Appends a new column to the input schema. This fails if the given output column already exists.
    * @param schema input schema
    * @param colName new column name. If this column name is an empty string "", this method returns