[GitHub] [arrow] lidavidm commented on a diff in pull request #14326: ARROW-14596: [C++][Python] Read table nested struct fields in columns

[GitBox <gi...@apache.org>]

lidavidm commented on code in PR #14326:
URL: https://github.com/apache/arrow/pull/14326#discussion_r997315906


##########
python/pyarrow/tests/test_dataset.py:
##########
@@ -4787,3 +4787,31 @@ def test_write_dataset_with_scanner_use_projected_schema(tempdir):
         ds.write_dataset(
             scanner, tempdir, partitioning=["original_column"], format="ipc"
         )
+
+
+@pytest.mark.parametrize("format", ("ipc", "parquet"))
+def test_read_table_nested_columns(tempdir, format):
+    if format == "parquet":
+        pytest.importorskip("pyarrow.parquet")
+
+    table = pa.table({"user_id": ["abc123", "qrs456"],
+                      "a.dotted.field": [1, 2],
+                      "interaction": [
+        {"type": "click", "element": "button",
+         "values": [1, 2], "structs":[{"foo": "bar"}]},
+        {"type": "scroll", "element": "window",
+         "values": [3, 4], "structs":[{"fizz": "buzz"}]}
+    ]})

Review Comment:
   Is it worth adding nulls at various levels to ensure they come out right?



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