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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-26837) Pruning nested fields from object serializers
Date Wed, 06 Feb 2019 15:56:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-26837?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-26837:
------------------------------------

    Assignee: 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
>            Assignee: Apache Spark
>            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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