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https://issues.apache.org/jira/browse/SPARK-26837?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-26837:
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Assignee: (was: Apache Spark)
> Pruning nested fields from object serializers
> ---------------------------------------------
>
> Key: SPARK-26837
> URL: https://issues.apache.org/jira/browse/SPARK-26837
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: Liang-Chi Hsieh
> Priority: Major
>
> In SPARK-26619, we make change to prune unnecessary individual serializers
> when serializing objects. This is extension to SPARK-26619. We can further
> prune nested fields from object serializers if they are not used.
> For example, in following query, we only use one field in a struct column:
> {code:java}
> val data = Seq((("a", 1), 1), (("b", 2), 2), (("c", 3), 3))
> val df = data.toDS().map(t => (t._1, t._2 + 1)).select("_1._1")
> {code}
> So, instead of having a serializer to create a two fields struct, we can
> prune unnecessary field from it.
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