[jira] [Resolved] (ARROW-11057) [Python] Data inconsistency with read and write

["Joris Van den Bossche (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/ARROW-11057?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joris Van den Bossche resolved ARROW-11057.
-------------------------------------------
    Resolution: Fixed

> [Python] Data inconsistency with read and write
> -----------------------------------------------
>
>                 Key: ARROW-11057
>                 URL: https://issues.apache.org/jira/browse/ARROW-11057
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: Python
>    Affects Versions: 2.0.0
>            Reporter: David Quijano
>            Priority: Major
>
> I have been reading and writing some tables to parquet and I found some inconsistencies.
> {code:java}
> # create a table with some data
> a = pa.Table.from_pydict({'x': [1]*100,'y': [2]*100,'z': [3]*100,})
> # write it to file
> pq.write_table(a, 'test.parquet')
> # read the same file
> b = pq.read_table('test.parquet')
> # a == b is True, that's good
> # write table b to file
> pq.write_table(b, 'test2.parquet')
> # test is different from test2{code}
> Basically it is:
>  * Create table in memory
>  * Write it to file
>  * Read it again
>  * Write it to a different file
> The files are not the same. The second one contains extra information.
> The differences are consistent across different compressions (I tried snappy and zstd).
> Also, reading the second file and and writing it again, produces the same file.
> Is this a bug or an expected behavior?
>  
>  
>  



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