Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/14124
Thanks for feedback @cloud-fan !
If the user-given schema is wrong, it is handled differently for each
datasource specific.
- For JSON and CSV
it is kind of permissive generally (for example, compatibility among
numeric types).
- For ORC and Parquet
Generally it is strict to types. So they don't allow the compatibility
(except for very few cases, e.g. for parquet,
https://github.com/apache/spark/pull/14272 and
https://github.com/apache/spark/pull/14278)
I think so. Should we disallow specifying schemas for these?
- For JDBC
it does not take user-given schema since it does not implement
`SchemaRelationProvider`.
---
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 infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
