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https://issues.apache.org/jira/browse/ARROW-6339?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated ARROW-6339:
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Labels: pull-request-available (was: )
> [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
>
> 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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