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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/09/02 16:53:46 UTC
[jira] [Assigned] (SPARK-10419) Add SQLServer JdbcDialect support
for datetimeoffset types
[ https://issues.apache.org/jira/browse/SPARK-10419?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-10419:
------------------------------------
Assignee: Apache Spark
> Add SQLServer JdbcDialect support for datetimeoffset types
> ----------------------------------------------------------
>
> Key: SPARK-10419
> URL: https://issues.apache.org/jira/browse/SPARK-10419
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.4.1, 1.5.0
> Reporter: Ewan Leith
> Assignee: Apache Spark
> Priority: Minor
>
> Running JDBC connections against Microsoft SQL Server database tables, when a table contains a datetimeoffset column type, the following error is received:
> sqlContext.read.jdbc("jdbc:sqlserver://127.0.0.1:1433;DatabaseName=testdb", "sampletable", prop)
> java.sql.SQLException: Unsupported type -155
> at org.apache.spark.sql.jdbc.JDBCRDD$.org$apache$spark$sql$jdbc$JDBCRDD$$getCatalystType(JDBCRDD.scala:100)
> at org.apache.spark.sql.jdbc.JDBCRDD$$anonfun$1.apply(JDBCRDD.scala:137)
> at org.apache.spark.sql.jdbc.JDBCRDD$$anonfun$1.apply(JDBCRDD.scala:137)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.sql.jdbc.JDBCRDD$.resolveTable(JDBCRDD.scala:136)
> at org.apache.spark.sql.jdbc.JDBCRelation.<init>(JDBCRelation.scala:128)
> at org.apache.spark.sql.DataFrameReader.jdbc(DataFrameReader.scala:200)
> at org.apache.spark.sql.DataFrameReader.jdbc(DataFrameReader.scala:130)
> Based on the JdbcDialect code for DB2 and the Microsoft SQL Server documentation, we should probably treat datetimeoffset types as Strings
> https://technet.microsoft.com/en-us/library/bb630289%28v=sql.105%29.aspx
> We've created a small addition to JdbcDialects.scala to do this conversion, I'll create a pull request for it.
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