spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Liang-Chi Hsieh (JIRA)" <>
Subject [jira] [Created] (SPARK-26837) Pruning nested fields from object serializers
Date Wed, 06 Feb 2019 15:46:00 GMT
Liang-Chi Hsieh created SPARK-26837:

             Summary: Pruning nested fields from object serializers
                 Key: SPARK-26837
             Project: Spark
          Issue Type: Improvement
          Components: SQL
    Affects Versions: 3.0.0
            Reporter: Liang-Chi Hsieh

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:
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")
So, instead of having a serializer to create a two fields struct, we can prune unnecessary
field from it.

This message was sent by Atlassian JIRA

To unsubscribe, e-mail:
For additional commands, e-mail:

View raw message