[ https://issues.apache.org/jira/browse/SPARK-26837?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Wenchen Fan resolved SPARK-26837. --------------------------------- Resolution: Fixed Assignee: Liang-Chi Hsieh Fix Version/s: 3.0.0 > Pruning nested fields from object serializers > --------------------------------------------- > > Key: SPARK-26837 > URL: https://issues.apache.org/jira/browse/SPARK-26837 > Project: Spark > Issue Type: Sub-task > Components: SQL > Affects Versions: 3.0.0 > Reporter: Liang-Chi Hsieh > Assignee: Liang-Chi Hsieh > Priority: Major > Fix For: 3.0.0 > > > 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. -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org