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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/03/02 06:55:18 UTC
[jira] [Commented] (SPARK-12941) Spark-SQL JDBC Oracle dialect
fails to map string datatypes to Oracle VARCHAR datatype
[ https://issues.apache.org/jira/browse/SPARK-12941?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15175094#comment-15175094 ]
Apache Spark commented on SPARK-12941:
--------------------------------------
User 'thomastechs' has created a pull request for this issue:
https://github.com/apache/spark/pull/11462
> Spark-SQL JDBC Oracle dialect fails to map string datatypes to Oracle VARCHAR datatype
> --------------------------------------------------------------------------------------
>
> Key: SPARK-12941
> URL: https://issues.apache.org/jira/browse/SPARK-12941
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.4.1
> Environment: Apache Spark 1.4.2.2
> Reporter: Jose Martinez Poblete
> Assignee: Thomas Sebastian
> Fix For: 1.4.2, 1.5.3, 1.6.2, 2.0.0
>
>
> When exporting data from Spark to Oracle, string datatypes are translated to TEXT for Oracle, this is leading to the following error
> {noformat}
> java.sql.SQLSyntaxErrorException: ORA-00902: invalid datatype
> {noformat}
> As per the following code:
> https://github.com/apache/spark/blob/branch-1.4/sql/core/src/main/scala/org/apache/spark/sql/jdbc/jdbc.scala#L144
> See also:
> http://stackoverflow.com/questions/31287182/writing-to-oracle-database-using-apache-spark-1-4-0
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