[GitHub] [arrow] westonpace commented on a change in pull request #11844: ARROW-14972: [Python][Doc] Document automatic partitioning discovery

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westonpace commented on a change in pull request #11844:
URL: https://github.com/apache/arrow/pull/11844#discussion_r789909668



##########
File path: docs/source/python/dataset.rst
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@@ -340,6 +340,30 @@ when constructing a directory partitioning:
 Directory partitioning also supports providing a full schema rather than inferring
 types from file paths.
 
+Automatic partitioning detection
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+If the directory is partitioned using the hive partitioning scheme (see above)
+then pyarrow will be able to automatically recognize the partitioning and include
+the partitioning information as a column in the returned table.  There is no
+need to specify the partitioning unless you need to override the inferred data
+types of the partitioning columns:
+
+.. code-block:: python
+
+    dataset = ds.dataset("hive_partitioned", format="parquet")

Review comment:
       Ok, I opened ARROW-15406 and ARROW-15407 which I think addresses what you are describing here.




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