GitHub user jmchung opened a pull request:
https://github.com/apache/spark/pull/19199
[SPARK-21610][SQL][FOLLOWUP] Corrupt records are not handled properly when
creating a dataframe from a file
## What changes were proposed in this pull request?
When the `requiredSchema` only contains `_corrupt_record`, the derived
`actualSchema` is empty and the `_corrupt_record` are all null for all rows.
This PR captures above situation and raise an exception with a reasonable
workaround messag so that users can know what happened and how to fix the query.
## How was this patch tested?
Added unit test in `CSVSuite`.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/jmchung/spark SPARK-21610-FOLLOWUP
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/19199.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #19199
----
commit e703fc8f33d1fde90d790057481f1d23f466f378
Author: Jen-Ming Chung <[email protected]>
Date: 2017-09-12T06:48:33Z
follow-up PR for CSV
----
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
