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https://issues.apache.org/jira/browse/SPARK-30781?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17036683#comment-17036683
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Hyukjin Kwon commented on SPARK-30781:
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Currently we don't have the plan to add this given that we now have many higher
order functions to workaround this problem,
and the dev overhead by adding a new type - we should consider how it works in
Scala, Java, R, Python and SQL.
> Missing SortedMap type in pyspark
> ---------------------------------
>
> Key: SPARK-30781
> URL: https://issues.apache.org/jira/browse/SPARK-30781
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 2.4.5
> Reporter: Mateusz User
> Priority: Major
> Labels: features
>
> Currently there is only MapType in pyspark API, which does not keep order of
> key-value map.
>
> *SortedMapType* would fill this gap: a map with sorted key-value pairs (like
> TreeMap in Java).
>
> For example:
> *SortedMapType* would be very useful when user wants to persist row from
> DataFrame into Mongo-db.
> row which consist a column with values of an ordered map type:
> col : [1 -> 22, 2 -> 16, 3 -> 25]
> will be persisted as following json:
> { "1": 22, "2": 16, "3": 25 }
>
> instead of MapType which currently results in:
> { "2": 16, "1": 22, "3": 25 }
>
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