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Posted to issues@arrow.apache.org by "Wes McKinney (JIRA)" <ji...@apache.org> on 2019/02/11 18:54:00 UTC
[jira] [Updated] (ARROW-4516) [Python] Error while creating a
ParquetDataset on a path without `_common_dataset` but with an empty
`_tempfile`
[ https://issues.apache.org/jira/browse/ARROW-4516?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Wes McKinney updated ARROW-4516:
--------------------------------
Fix Version/s: 0.14.0
> [Python] Error while creating a ParquetDataset on a path without `_common_dataset` but with an empty `_tempfile`
> ----------------------------------------------------------------------------------------------------------------
>
> Key: ARROW-4516
> URL: https://issues.apache.org/jira/browse/ARROW-4516
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 0.12.0
> Reporter: yogesh garg
> Priority: Major
> Fix For: 0.14.0
>
>
> I suspect that there's an error in this line of code:
> https://github.com/apache/arrow/blob/master/python/pyarrow/parquet.py#L926
> While validating schema in the initialisation of a {{ParquetDataset}}, we assume that if {{_common_metadata}} file does not exist, the schema should be inferred from the first piece of that dataset. The first piece, in my experience, could refer to a file named with an underscore, that does not necessarily have to contain the schema, and could be an empty file, e.g. {{_tempfile}}.
> {code:bash}
> /tmp/pq/
> ├── part1.parquet
> └── _tempfile
> {code}
> This behavior is allowed by the parquet specification, and we should probably ignore such pieces.
> On a cursory look, we could do either of the following.
> 1. Choose the first piece with path that does not start with "_"
> 2. Sort pieces by name, but put all the "_" pieces later while making the manifest. https://github.com/apache/arrow/blob/master/python/pyarrow/parquet.py#L729
> 3. Silently exclude all the files starting with "_" here, but this will need to be tested: https://github.com/apache/arrow/blob/master/python/pyarrow/parquet.py#L770
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