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From "Reynold Xin (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-7039) JdbcRdd doesn't support java.sql.Types.NVARCHAR
Date Wed, 22 Apr 2015 20:03:59 GMT

     [ https://issues.apache.org/jira/browse/SPARK-7039?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Reynold Xin resolved SPARK-7039.
--------------------------------
          Resolution: Fixed
            Assignee: Shuai Zheng
    Target Version/s:   (was: 1.3.1)

> JdbcRdd doesn't support java.sql.Types.NVARCHAR
> -----------------------------------------------
>
>                 Key: SPARK-7039
>                 URL: https://issues.apache.org/jira/browse/SPARK-7039
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.3.1
>         Environment: Spark 1.3.1
>            Reporter: Shuai Zheng
>            Assignee: Shuai Zheng
>            Priority: Minor
>             Fix For: 1.3.2, 1.4.0
>
>
> When create a DataFrame from jdbc method through SqlContext:
> {code}
> DataFrame df = sql.jdbc(url, fullTableName);
> {code}
> If there is column type NVARCHAR, below exception will be thrown:
> {code}
> Caused by: java.sql.SQLException: Unsupported type -9
> 	at org.apache.spark.sql.jdbc.JDBCRDD$.getCatalystType(JDBCRDD.scala:78)
> 	at org.apache.spark.sql.jdbc.JDBCRDD$.resolveTable(JDBCRDD.scala:112)
> 	at org.apache.spark.sql.jdbc.JDBCRelation.<init>(JDBCRelation.scala:133)
> 	at org.apache.spark.sql.SQLContext.jdbc(SQLContext.scala:900)
> 	at org.apache.spark.sql.SQLContext.jdbc(SQLContext.scala:852)
> {code}
> When comparing the code between JDBCRDD.scala and java.sql.Types.java, the only type
is not supported in JDBCRDD.scala is NVARCHAR. Because NCHAR is supported, so I think this
is just a small mistake that people skip this type instead of ignore it intentionally. 



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