Github user sureshthalamati commented on the issue:
https://github.com/apache/spark/pull/16209
@gatorsmile I like the DDL schema format approach. But the method
`CatalystSqlParser.parseTableSchema(sql)` will work only if user wants to
specify the target database datatype that also exists in Spark. For example if
user wants to specify CLOB(200K) ; it will not work because that is not a valid
data type in spark.
How about simple comma separate list with restriction of ,(comma) can not
be in the column name to use this option ?. I am guessing that would work in
most of the scenarios.
Any suggestions ?
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
