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https://issues.apache.org/jira/browse/ARROW-6642?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joris Van den Bossche reassigned ARROW-6642:
--------------------------------------------
Assignee: Joris Van den Bossche
> [Python] chained access of ParquetDataset's metadata segfaults
> --------------------------------------------------------------
>
> Key: ARROW-6642
> URL: https://issues.apache.org/jira/browse/ARROW-6642
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Reporter: Joris Van den Bossche
> Assignee: Joris Van den Bossche
> Priority: Major
> Labels: parquet, pull-request-available
> Fix For: 0.15.0
>
> Time Spent: 10m
> Remaining Estimate: 0h
>
> Creating and reading a parquet dataset:
> {code}
> table = pa.table({'a': [1, 2, 3]})
> import pyarrow.parquet as pq
> pq.write_table(table, '__test_statistics_segfault.parquet')
> dataset = pq.ParquetDataset('__test_statistics_segfault.parquet')
> dataset_piece = dataset.pieces[0]
> {code}
> If you access the metadata and a column's statistics in steps, this works
> fine:
> {code}
> meta = dataset_piece.get_metadata()
> row = meta.row_group(0)
> col = row.column(0)
> {code}
> but doing it chained in one step, this segfaults:
> {code}
> dataset_piece.get_metadata().row_group(0).column(0)
> {code}
> {{dataset_piece.get_metadata().row_group(0)}} still works, but additionally
> with {{.column(0)}} then it segfaults.
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