R-JunmingChen commented on code in PR #34586:
URL: https://github.com/apache/arrow/pull/34586#discussion_r1162900658
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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:
Hi, It seems that `newlines_in_values` doesn't work. I fristly test it with
JSON Datasets and it fails to work then I test it with pyarrow.json of release
version, it doesn't work too.
I use the following code to read json file
```
import pyarrow.json as pj
json_f=pj.read_json("test.json",parse_options=pj.ParseOptions(newlines_in_values=False))
json_t=pj.read_json("test.json",parse_options=pj.ParseOptions(newlines_in_values=True))
```
Here is the file content of test.json
```
{"name":"\n"}
{"name":"2"}
{"name":"\n312\n"}
```
However, the value of `json_f` and `json_t` are the same.
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