Hi, We are using spark sql (1.3.1) to load data from Microsoft sql server using jdbc (as described in https://spark.apache.org/docs/latest/sql-programming-guide.html#jdbc-to-other-databases ).
It is working fine except when there is a space in column names (we can't modify the schemas to remove space as it is a legacy database). Sqoop is able to handle such scenarios by enclosing column names in '[ ]' - the recommended method from microsoft sql server. ( https://github.com/apache/sqoop/blob/trunk/src/java/org/apache/sqoop/manager/SQLServerManager.java - line no 319) Is there a way to handle this in spark sql? Thanks, sachin
