From https://stackoverflow.com/questions/57877017/pandas-feather-format-is-slow-when-writing-a-column-of-none Smaller example with just using pyarrow, it seems that writing an array of nulls takes much longer than an array of for example ints, which seems a bit strange: ```Java In [93]: arr = pa.array([None]*1000, type='int64') In [94]: %%timeit ...: w = pyarrow.feather.FeatherWriter('__test.feather') ...: w.writer.write_array('x', arr) ...: w.writer.close() 31.4 µs ± 464 ns per loop (mean ± std. dev. of 7 runs, 10000 loops each) In [95]: arr = pa.array([None]*1000) In [96]: arr Out[96]: <pyarrow.lib.NullArray object at 0x7fa47a23ca40> 1000 nulls In [97]: %%timeit ...: w = pyarrow.feather.FeatherWriter('__test.feather') ...: w.writer.write_array('x', arr) ...: w.writer.close() 3.75 ms ± 64.1 µs per loop (mean ± std. dev. of 7 runs, 100 loops each) ``` So writing the same length NullArray takes ca 100x more time compared to an array of nulls but with Integer type. **Reporter**: [Joris Van den Bossche](https://issues.apache.org/jira/browse/ARROW-6529) / @jorisvandenbossche **Assignee**: [Wes McKinney](https://issues.apache.org/jira/browse/ARROW-6529) / @wesm #### Related issues: - [[Format] Feather V2 based on Arrow IPC file format, with compression support](https://github.com/apache/arrow/issues/21958) (is a child of) <sub>**Note**: *This issue was originally created as [ARROW-6529](https://issues.apache.org/jira/browse/ARROW-6529). Please see the [migration documentation](https://github.com/apache/arrow/issues/14542) for further details.*</sub>