[jira] [Updated] (ARROW-5562) [C++] parquet writer does not handle negative zero correctly

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

     [ https://issues.apache.org/jira/browse/ARROW-5562?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joris Van den Bossche updated ARROW-5562:
-----------------------------------------
    Summary: [C++] parquet writer does not handle negative zero correctly  (was: pyarrow parquet writer does not handle negative zero correctly)

> [C++] parquet writer does not handle negative zero correctly
> ------------------------------------------------------------
>
>                 Key: ARROW-5562
>                 URL: https://issues.apache.org/jira/browse/ARROW-5562
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: C++, Python
>    Affects Versions: 0.13.0
>            Reporter: Bob Briody
>            Priority: Major
>              Labels: parquet
>
>  
> I have the following csv file (note that col_a contains a negative zero value):
> {code:java}
> col_a,col_b
> 0.0,0.0
> -0.0,0.0{code}
> ...and process it via:
> {code:java}
> from pyarrow import csv, parquet
> in_csv = 'in.csv'
> table = csv.read_csv(in_csv)
> parquet.write_to_dataset(table, root_path='./'){code}
>  
> The output parquet file is then loaded into S3 and queried via AWS Athena (i.e. PrestoDB / Hive). 
> Any query that touches {{col_a}} fails with the following error:
> {code:java}
> HIVE_CANNOT_OPEN_SPLIT: Error opening Hive split {{REDACTED}} (offset=0, length=593): low must be less than or equal to high{code}
>  
> As a sanity check, I transformed the csv file to parquet using an AWS Glue Spark Job and I was able to query the output parquet file successfully.
> As such, it appears as though the pyarrow writer is producing an invalid parquet file when a column contains both 0.0 and -0.0, and only 0.0 and -0.0.
>  



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)