westonpace commented on code in PR #34586:
URL: https://github.com/apache/arrow/pull/34586#discussion_r1161829693
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python/pyarrow/tests/test_dataset.py:
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@@ -3172,6 +3202,58 @@ def test_csv_fragment_options(tempdir, dataset_reader):
assert result.equals(
pa.table({'col0': pa.array(['foo', 'spam', 'MYNULL'])}))
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+def test_json_format(tempdir, dataset_reader):
+ table = pa.table({'a': pa.array([1, 2, 3], type="int64"),
+ 'b': pa.array([.1, .2, .3], type="float64")})
+
+ path = str(tempdir / 'test.json')
+ out = table.to_pandas().to_json(orient='records')[1:-1].replace('},{',
'}\n{')
+ with open(path, 'w') as f:
+ f.write(out)
+
+ dataset = ds.dataset(path, format=ds.JsonFileFormat())
+ result = dataset_reader.to_table(dataset)
+ assert result.equals(table)
+
+ assert_dataset_fragment_convenience_methods(dataset)
+
+ dataset = ds.dataset(path, format='json')
+ result = dataset_reader.to_table(dataset)
+ assert result.equals(table)
+
+def test_json_format_options(tempdir, dataset_reader):
+ table = pa.table({'a': pa.array([1, 2, 3], type="int64"),
+ 'b': pa.array([.1, .2, .3], type="float64")})
+
+ path = str(tempdir / 'test.json')
+ out = table.to_pandas().to_json(orient='records')[1:-1].replace('},{',
'}\n{')
+ with open(path, 'w') as f:
+ f.write(out)
+
+ dataset = ds.dataset(path, format=ds.JsonFileFormat(
+ read_options=pa.json.ReadOptions(block_size=64)))
Review Comment:
Is there any way to know if this option actually got applied? If the
bindings were completely ignoring `block_size` would this test fail?
Is there another option that is easier to verify? Maybe
`newlines_in_values` (and put some newlines in the test data) because then it
will fail if this option is not getting set correctly?
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