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https://issues.apache.org/jira/browse/SPARK-7039?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14507162#comment-14507162
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Apache Spark commented on SPARK-7039:
-------------------------------------
User 'szheng79' has created a pull request for this issue:
https://github.com/apache/spark/pull/5618
> 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
> 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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