You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/05/28 05:21:17 UTC
[jira] [Assigned] (SPARK-7911) A workaround for VectorUDT serialize
(or deserialize) being called multiple times
[ https://issues.apache.org/jira/browse/SPARK-7911?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-7911:
-----------------------------------
Assignee: Apache Spark (was: Xiangrui Meng)
> A workaround for VectorUDT serialize (or deserialize) being called multiple times
> ---------------------------------------------------------------------------------
>
> Key: SPARK-7911
> URL: https://issues.apache.org/jira/browse/SPARK-7911
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 1.4.0
> Reporter: Xiangrui Meng
> Assignee: Apache Spark
>
> There are bugs in UDT serialization because we don't have a clear separation between internal SQL types and language specific types (including UDT). UDT serialize and deserialize may get called twice. A workaround is to accept Row in serialize and Vector in deserialize, though this doesn't completely solve the issue.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org