diff --git a/python/pyspark/sql/catalog.py b/python/pyspark/sql/catalog.py
index 3033f147bc96..4af930a3cd56 100644
--- a/python/pyspark/sql/catalog.py
+++ b/python/pyspark/sql/catalog.py
@@ -232,6 +232,11 @@ def clearCache(self):
         """Removes all cached tables from the in-memory cache."""
         self._jcatalog.clearCache()
 
+    @since(2.0)
+    def refreshTable(self, tableName):
+        """Invalidate and refresh all the cached metadata of the given table."""
+        self._jcatalog.refreshTable(tableName)
+
     def _reset(self):
         """(Internal use only) Drop all existing databases (except "default"), tables,
         partitions and functions, and set the current database to "default".
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/catalog/Catalog.scala b/sql/core/src/main/scala/org/apache/spark/sql/catalog/Catalog.scala
index 6ddb1a7a1f1a..7985f2f7cdae 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/catalog/Catalog.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/catalog/Catalog.scala
@@ -214,7 +214,7 @@ abstract class Catalog {
   def clearCache(): Unit
 
   /**
-   * Invalidate and refresh all the cached the metadata of the given table. For performance reasons,
+   * Invalidate and refresh all the cached metadata of the given table. For performance reasons,
    * Spark SQL or the external data source library it uses might cache certain metadata about a
    * table, such as the location of blocks. When those change outside of Spark SQL, users should
    * call this function to invalidate the cache.