[
https://issues.apache.org/jira/browse/ARROW-18087?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Antoine Pitrou resolved ARROW-18087.
------------------------------------
Resolution: Fixed
Issue resolved by pull request 14451
[https://github.com/apache/arrow/pull/14451]
> [C++] RecordBatch::Equals ignores field names
> ---------------------------------------------
>
> Key: ARROW-18087
> URL: https://issues.apache.org/jira/browse/ARROW-18087
> Project: Apache Arrow
> Issue Type: Bug
> Components: C++
> Reporter: Joris Van den Bossche
> Priority: Major
> Labels: pull-request-available
> Fix For: 11.0.0
>
> Time Spent: 1.5h
> Remaining Estimate: 0h
>
> The {{RecordBatch::Equals}} method only checks the equality of the schema of
> both batches if {{check_metadata=True}}, with a result that it doesn't
> actually check the schema (eg field names) by default.
> Python illustration:
> {code}
> In [3]: batch1 = pa.record_batch(pd.DataFrame({'a': [1, 2, 3]}))
> In [4]: batch2 = pa.record_batch(pd.DataFrame({'b': [1, 2, 3]}))
> In [5]: batch1.equals(batch2)
> Out[5]: True
> In [6]: batch1.equals(batch2, check_metadata=True)
> Out[6]: False
> {code}
> My expectation is that RecordBatch equality always requires equal field names
> (as Table::Equals does). And the {{check_metadata}} keyword should only
> control whether the metadata of the schema is considered (as the
> documentation also says), not whether the schema is checked at all.
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
