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Posted to issues@spark.apache.org by "Pangjiu (JIRA)" <ji...@apache.org> on 2015/08/14 07:26:45 UTC
[jira] [Updated] (SPARK-9506) DataFrames Postgresql JDBC unable to
support most of the Postgresql's Data Type
[ https://issues.apache.org/jira/browse/SPARK-9506?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Pangjiu updated SPARK-9506:
---------------------------
Attachment: tables_structures.PNG
Postgresql Database with table name and column's informations.
> 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: 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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