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Posted to issues@spark.apache.org by "Shuai Zheng (JIRA)" <ji...@apache.org> on 2015/04/21 21:43:58 UTC
[jira] [Commented] (SPARK-7039) JdbcRdd doesn't support
java.sql.Types.NVARCHAR
[ https://issues.apache.org/jira/browse/SPARK-7039?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14505597#comment-14505597 ]
Shuai Zheng commented on SPARK-7039:
------------------------------------
I have created a pull request.
And the related code:
JDBCRDD.scala:
https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/rdd/JdbcRDD.scala
java.sql.Types:
http://docs.oracle.com/javase/7/docs/api/java/sql/Types.html
> 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:
> DataFrame df = sql.jdbc(url, fullTableName);
> If there is column type NVARCHAR, below exception will be thrown:
> 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)
> ====================================================
> 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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