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https://issues.apache.org/jira/browse/ARROW-5562?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joris Van den Bossche updated ARROW-5562:
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Labels: parquet (was: )
> pyarrow 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: 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.
>
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