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https://issues.apache.org/jira/browse/SPARK-32501?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17168129#comment-17168129
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Apache Spark commented on SPARK-32501:
--------------------------------------
User 'MaxGekk' has created a pull request for this issue:
https://github.com/apache/spark/pull/29311
> Inconsistent NULL conversions to strings
> -----------------------------------------
>
> Key: SPARK-32501
> URL: https://issues.apache.org/jira/browse/SPARK-32501
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.1.0
> Reporter: Maxim Gekk
> Priority: Major
>
> 1. It is impossible to distinguish empty string and null, for instance:
> {code:scala}
> scala> Seq(Seq(""), Seq(null)).toDF().show
> +-----+
> |value|
> +-----+
> | []|
> | []|
> +-----+
> {code}
> 2. Inconsistent NULL conversions for top-level values and nested columns, for
> instance:
> {code:scala}
> scala> sql("select named_struct('c', null), null").show
> +---------------------+----+
> |named_struct(c, NULL)|NULL|
> +---------------------+----+
> | []|null|
> +---------------------+----+
> {code}
> 3. `.show()` is different from conversions to Hive strings, and as a
> consequence its output is different from `spark-sql` (sql tests):
> {code:sql}
> spark-sql> select named_struct('c', null) as struct;
> {"c":null}
> {code}
> {code:scala}
> scala> sql("select named_struct('c', null) as struct").show
> +------+
> |struct|
> +------+
> | []|
> +------+
> {code}
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