[jira] [Created] (ARROW-18087) [C++] RecordBatch::Equals ignores field names

["Joris Van den Bossche (Jira)" <ji...@apache.org>]

Joris Van den Bossche created ARROW-18087:
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             Summary: [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


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.



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