jorisvandenbossche commented on a change in pull request #10074:
URL: https://github.com/apache/arrow/pull/10074#discussion_r615794180
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File path: python/pyarrow/parquet.py
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@@ -1674,6 +1686,12 @@ def pieces(self):
keys and only a hive-style directory structure is supported. When
setting `use_legacy_dataset` to False, also within-file level filtering
and different partitioning schemes are supported.
+pre_buffer : bool, default True
+ Coalesce and issue file reads in parallel to improve performance on
Review comment:
> I guess for someone who wants Arrow to be truly single-threaded, this
may be confusing, so I'll see if I can reword this.
So for such a case, you would need to set `pre_buffer=False` to have it
truly single-threaded?
I am thinking about dask, where `use_threads` is set to False, but I am not
sure if it would be a problem for them to still do I/O in parallel.
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