[jira] [Resolved] (SPARK-16675) Avoid per-record type dispatch in JDBC when writing

["Wenchen Fan (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-16675?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Wenchen Fan resolved SPARK-16675.
---------------------------------
       Resolution: Fixed
    Fix Version/s: 2.1.0

Issue resolved by pull request 14323
[https://github.com/apache/spark/pull/14323]

> Avoid per-record type dispatch in JDBC when writing
> ---------------------------------------------------
>
>                 Key: SPARK-16675
>                 URL: https://issues.apache.org/jira/browse/SPARK-16675
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.1.0
>            Reporter: Hyukjin Kwon
>            Assignee: Hyukjin Kwon
>             Fix For: 2.1.0
>
>
> This is similar with https://issues.apache.org/jira/browse/SPARK-16351.
> Currently, {{JdbcUtils.savePartition}} is doing type-based dispatch for each row to write appropriate values.
> So, appropriate writers can be created first according to the schema, and then apply them to each row. This approach is similar with {{CatalystWriteSupport}}.



--
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