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https://issues.apache.org/jira/browse/SPARK-10419?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-10419:
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Summary: Add JDBC dialect for Microsoft SQL Server (was: Add SQLServer
JdbcDialect support for datetimeoffset types)
> Add JDBC dialect for Microsoft SQL Server
> -----------------------------------------
>
> Key: SPARK-10419
> URL: https://issues.apache.org/jira/browse/SPARK-10419
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 1.4.1, 1.5.0
> Reporter: Ewan Leith
> Priority: Minor
>
> Running JDBC connections against Microsoft SQL Server database tables, when a
> table contains a datetimeoffset column type, the following error is received:
> {code}
> 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)
> {code}
> 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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