You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2022/10/14 07:13:00 UTC

[jira] [Commented] (SPARK-40797) Force grouped import onto single line with Scalafmt

    [ https://issues.apache.org/jira/browse/SPARK-40797?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17617525#comment-17617525 ] 

Apache Spark commented on SPARK-40797:
--------------------------------------

User 'grundprinzip' has created a pull request for this issue:
https://github.com/apache/spark/pull/38252

> Force grouped import onto single line with Scalafmt
> ---------------------------------------------------
>
>                 Key: SPARK-40797
>                 URL: https://issues.apache.org/jira/browse/SPARK-40797
>             Project: Spark
>          Issue Type: Improvement
>          Components: Build
>    Affects Versions: 3.4.0
>            Reporter: Martin Grund
>            Priority: Major
>
> When using the scalafmt.conf file as provided by the project repository to organize and optimize imports there is a case in which un-desired behavior appears.
> If the import group does not fit on a single line, Scalafmt will by default try to bin-pack and then break out over mulitple lines.
> For example:
> import org.apache.spark.sql.catalyst.analysis.\{UnresolvedAlias, UnresolvedAttribute, UnresolvedFunction, UnresolvedRelation, UnresolvedStar}{{{}{}}}will become
> import org.apache.spark.sql.catalyst.analysis.\{
>   UnresolvedAlias,
>   UnresolvedAttributed,
>   ...
> }{{{}{}}}In previous code reviews this has been marked as departing from the consistency of the Spark code base even when using the provided scalafmt.conf.
>  
> Scalafmt allows to configure this by setting an option 
>  
> {code:java}
> importSelectors = "singleLine"{code}
>  



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org