Hi All, I am using Spark jdbc df to store data into Netezza , I think spark is trying to create table using data type TEXT for string column , netezza doesn't support data type text.
how to overwrite spark method to use VARCHAR instead of data type text ? val sourcedfmode=sourcedf.persist(StorageLevel.MEMORY_AND_DISK).write.mode("overwrite") sourcedfmode.jdbc(TargetDBinfo.url,TargetDBinfo.table,targetprops) Thanks -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/org-netezza-error-NzSQLException-ERROR-Invalid-datatype-TEXT-tp26072.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org