[jira] [Commented] (SPARK-9506) DataFrames Postgresql JDBC unable to support most of the Postgresql's Data Type

["Marius Van Niekerk (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-9506?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14965319#comment-14965319 ] 

Marius Van Niekerk commented on SPARK-9506:
-------------------------------------------

This is related to SPARK-10186

> DataFrames Postgresql JDBC unable to support most of the Postgresql's Data Type
> -------------------------------------------------------------------------------
>
>                 Key: SPARK-9506
>                 URL: https://issues.apache.org/jira/browse/SPARK-9506
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core, SQL
>            Reporter: Pangjiu
>            Priority: Blocker
>         Attachments: code.PNG, log.PNG, tables_structures.PNG
>
>
> Hi All,
> I have issue on using Postgresql JDBC with sqlContext for postgresql's data types: eg: abstime, character varying[], int2vector, json and etc.
> Exception are "Unsupported type 2003" and "Unsupported type 1111".
> Below is the code:
> Class.forName("org.postgresql.Driver").newInstance()
> val url = "jdbc:postgresql://localhost:5432/sample?user=posgres&password=xxx"
> val driver = "org.postgresql.Driver"
> val output = { sqlContext.load("jdbc", Map 
> 				(
> 					"url" -> url,
> 					"driver" -> driver,
> 					"dbtable" -> "(SELECT `ID`, `NAME` FROM `agent`) AS tableA "
> 				)
> 			)
> }
> Hope SQL Context can support all the data types.
> Thanks.



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