Github user liancheng commented on the pull request:
https://github.com/apache/spark/pull/10379#issuecomment-166088383
@yanakad Thanks for your explanation, now I understand your use case. I
agree that this is somewhat inconvenient under this use case. But I still tend
to say this shouldn't be an issue, because:
1. At application level, this issue can be worked around by first globbing
the lowest directories first, and then passing result path(s) to
`DataFrameReader.parquet()` method.
2. Changes made in this PR bring negative impact to the public API:
- As mentioned above, the behavior becomes more error-prone and dangerous
- The behavior becomes inconsistent with other data sources. For
example, ORC, JSON, and JDBC all throws exception when the input path/JDBC URL
is invalid or doesn't exist.
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