Github user cloud-fan commented on a diff in the pull request:

    https://github.com/apache/spark/pull/16481#discussion_r95299609
  
    --- Diff: 
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala
 ---
    @@ -413,17 +413,22 @@ case class DataSource(
         relation
       }
     
    -  /** Writes the given [[DataFrame]] out to this [[DataSource]]. */
    +  /**
    +   * Writes the given [[DataFrame]] out to this [[DataSource]].
    +   *
    +   * @param isForWriteOnly Whether to just write the data without 
returning a [[BaseRelation]].
    +   */
       def write(
           mode: SaveMode,
    -      data: DataFrame): BaseRelation = {
    +      data: DataFrame,
    +      isForWriteOnly: Boolean = false): Option[BaseRelation] = {
         if 
(data.schema.map(_.dataType).exists(_.isInstanceOf[CalendarIntervalType])) {
           throw new AnalysisException("Cannot save interval data type into 
external storage.")
         }
     
         providingClass.newInstance() match {
           case dataSource: CreatableRelationProvider =>
    -        dataSource.createRelation(sparkSession.sqlContext, mode, 
caseInsensitiveOptions, data)
    +        Some(dataSource.createRelation(sparkSession.sqlContext, mode, 
caseInsensitiveOptions, data))
    --- End diff --
    
    it would be really weird if `CreatableRelationProvider.createRelation` can 
return a relation with different schema from the written `data`. Is it safe to 
assume the schema won't change? cc @marmbrus @yhuai @liancheng 


---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org

Reply via email to