You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "PJ Fanning (JIRA)" <ji...@apache.org> on 2015/12/28 13:30:49 UTC

[jira] [Commented] (SPARK-9505) DataFrames : Mysql JDBC not support column names with special characters

    [ https://issues.apache.org/jira/browse/SPARK-9505?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15072680#comment-15072680 ] 

PJ Fanning commented on SPARK-9505:
-----------------------------------

There is a pull request for SPARK-12437 that looks like it would fix this.

> DataFrames : Mysql JDBC not support column names with special characters
> ------------------------------------------------------------------------
>
>                 Key: SPARK-9505
>                 URL: https://issues.apache.org/jira/browse/SPARK-9505
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core, SQL
>    Affects Versions: 1.3.0
>            Reporter: Pangjiu
>            Priority: Blocker
>
> HI all,
> I had above issue on connect to mySQL database through SQLContext. If the mySQL table's column name contains special characters like #[ ] %,  it throw exception : "You have an error in your SQL syntax".
> Below is coding:
> Class.forName("com.mysql.jdbc.Driver").newInstance()
> val url = "jdbc:mysql://localhost:3306/sakila?user=root&password=xxx"
> val driver = "com.mysql.jdbc.Driver"
> val sqlContext = new SQLContext(sc)
> val output = { sqlContext.load("jdbc", Map 
> 				(
> 					"url" -> url,
> 					"driver" -> driver,
> 					"dbtable" -> "(SELECT `ID`, `NAME%` FROM `agent`) AS tableA "
> 				)
> 			)
> }
> Hope dataframes for sqlContext can support for special characters very soon as this become a stopper  now.
> Thanks



--
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