[jira] [Updated] (ARROW-6339) [Python][C++] Rowgroup statistics for pd.NaT array ill defined

["Wes McKinney (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/ARROW-6339?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Wes McKinney updated ARROW-6339:
--------------------------------
    Fix Version/s: 0.15.0

> [Python][C++] Rowgroup statistics for pd.NaT array ill defined
> --------------------------------------------------------------
>
>                 Key: ARROW-6339
>                 URL: https://issues.apache.org/jira/browse/ARROW-6339
>             Project: Apache Arrow
>          Issue Type: Bug
>    Affects Versions: 0.14.1
>            Reporter: Florian Jetter
>            Priority: Minor
>              Labels: pull-request-available
>             Fix For: 0.15.0
>
>          Time Spent: 10m
>  Remaining Estimate: 0h
>
> When initialising an array with NaT only values the row group statistic is corrupt returning either random values or raises integer out of bound exceptions.
> {code:python}
> import io
> import pandas as pd
> import pyarrow as pa
> import pyarrow.parquet as pq
> df = pd.DataFrame({"t": pd.Series([pd.NaT], dtype="datetime64[ns]")})
> buf = pa.BufferOutputStream()
> pq.write_table(pa.Table.from_pandas(df), buf, version="2.0")
> buf = io.BytesIO(buf.getvalue().to_pybytes())
> parquet_file = pq.ParquetFile(buf)
> # Asserting behaviour is difficult since it is random and the state is ill defined. 
> # After a few iterations an exception is raised.
> while True:
>     parquet_file.metadata.row_group(0).column(0).statistics.max
> {code}



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