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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2022/07/24 09:24:00 UTC
[jira] [Assigned] (SPARK-39849) Dataset.as(StructType) fills missing new columns with null value
[ https://issues.apache.org/jira/browse/SPARK-39849?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-39849:
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Assignee: Apache Spark
> Dataset.as(StructType) fills missing new columns with null value
> ----------------------------------------------------------------
>
> Key: SPARK-39849
> URL: https://issues.apache.org/jira/browse/SPARK-39849
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.4.0
> Reporter: Cheng Su
> Assignee: Apache Spark
> Priority: Minor
>
> As a followup of [https://github.com/apache/spark/pull/37011#discussion_r917700960] , it would be great to fill missing new columns with null values, instead of failing out loud. Note it would only work for nullable columns.
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