diff --git a/src/main/scala/com/microsoft/sqlserver/jdbc/spark/SQLServerBulkJdbcOptions.scala b/src/main/scala/com/microsoft/sqlserver/jdbc/spark/SQLServerBulkJdbcOptions.scala
index 710f570..e9e03a8 100644
--- a/src/main/scala/com/microsoft/sqlserver/jdbc/spark/SQLServerBulkJdbcOptions.scala
+++ b/src/main/scala/com/microsoft/sqlserver/jdbc/spark/SQLServerBulkJdbcOptions.scala
@@ -68,10 +68,12 @@ class SQLServerBulkJdbcOptions(val params: CaseInsensitiveMap[String])
   val allowEncryptedValueModifications =
     params.getOrElse("allowEncryptedValueModifications", "false").toBoolean
 
-
   val schemaCheckEnabled =
     params.getOrElse("schemaCheckEnabled", "true").toBoolean
 
+  val hideGraphColumns =
+    params.getOrElse("hideGraphColumns", "true").toBoolean
+
   // Not a feature
   // Only used for internally testing data idempotency
   val testDataIdempotency =
diff --git a/src/main/scala/com/microsoft/sqlserver/jdbc/spark/utils/BulkCopyUtils.scala b/src/main/scala/com/microsoft/sqlserver/jdbc/spark/utils/BulkCopyUtils.scala
index 347694a..86cd003 100644
--- a/src/main/scala/com/microsoft/sqlserver/jdbc/spark/utils/BulkCopyUtils.scala
+++ b/src/main/scala/com/microsoft/sqlserver/jdbc/spark/utils/BulkCopyUtils.scala
@@ -186,8 +186,29 @@ object BulkCopyUtils extends Logging {
     */
     private[spark] def getComputedCols(
         conn: Connection, 
-        table: String): List[String] = {
-        val queryStr = s"SELECT name FROM sys.computed_columns WHERE object_id = OBJECT_ID('${table}');"
+        table: String,
+        hideGraphColumns: Boolean): List[String] = {
+        // TODO can optimize this, also evaluate SQLi issues
+        val queryStr = if (hideGraphColumns) s"""IF (SERVERPROPERTY('EngineEdition') = 5 OR SERVERPROPERTY('ProductMajorVersion') >= 14)
+exec sp_executesql N'SELECT name
+        FROM sys.computed_columns
+        WHERE object_id = OBJECT_ID(''${table}'')
+        UNION ALL
+        SELECT C.name
+        FROM sys.tables AS T
+        JOIN sys.columns AS C
+        ON T.object_id = C.object_id
+        WHERE T.object_id = OBJECT_ID(''${table}'')
+        AND (T.is_edge = 1 OR T.is_node = 1)
+        AND C.is_hidden = 0
+        AND C.graph_type = 2'
+ELSE
+SELECT name
+        FROM sys.computed_columns
+        WHERE object_id = OBJECT_ID('${table}')
+        """
+        else s"SELECT name FROM sys.computed_columns WHERE object_id = OBJECT_ID('${table}');"
+
         val computedColRs = conn.createStatement.executeQuery(queryStr)
         val computedCols = ListBuffer[String]()
         while (computedColRs.next()) {
@@ -263,7 +284,7 @@ object BulkCopyUtils extends Logging {
         val colMetaData = {
             if(checkSchema) {
                 checkExTableType(conn, options)
-                matchSchemas(conn, options.dbtable, df, rs, options.url, isCaseSensitive, options.schemaCheckEnabled)
+                matchSchemas(conn, options.dbtable, df, rs, options.url, isCaseSensitive, options.schemaCheckEnabled, options.hideGraphColumns)
             } else {
                 defaultColMetadataMap(rs.getMetaData())
             }
@@ -289,6 +310,7 @@ object BulkCopyUtils extends Logging {
     * @param url: String,
     * @param isCaseSensitive: Boolean
     * @param strictSchemaCheck: Boolean
+    * @param hideGraphColumns - Whether to hide the $node_id, $from_id, $to_id, $edge_id columns in SQL graph tables
     */
     private[spark] def matchSchemas(
             conn: Connection,
@@ -297,13 +319,14 @@ object BulkCopyUtils extends Logging {
             rs: ResultSet,
             url: String,
             isCaseSensitive: Boolean,
-            strictSchemaCheck: Boolean): Array[ColumnMetadata]= {
+            strictSchemaCheck: Boolean,
+            hideGraphColumns: Boolean): Array[ColumnMetadata]= {
         val dfColCaseMap = (df.schema.fieldNames.map(item => item.toLowerCase)
           zip df.schema.fieldNames.toList).toMap
         val dfCols = df.schema
 
         val tableCols = getSchema(rs, JdbcDialects.get(url))
-        val computedCols = getComputedCols(conn, dbtable)
+        val computedCols = getComputedCols(conn, dbtable, hideGraphColumns)
 
         val prefix = "Spark Dataframe and SQL Server table have differing"