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Posted to issues@spark.apache.org by "Liang-Chi Hsieh (JIRA)" <ji...@apache.org> on 2019/02/06 15:46:00 UTC
[jira] [Created] (SPARK-26837) Pruning nested fields from object
serializers
Liang-Chi Hsieh created SPARK-26837:
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Summary: 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
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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