vibhatha commented on code in PR #36266:
URL: https://github.com/apache/arrow/pull/36266#discussion_r1412669913
##########
python/pyarrow/tests/test_csv.py:
##########
@@ -1972,6 +1972,33 @@ def test_write_csv_decimal(tmpdir, type_factory):
assert out.column('col').cast(type) == table.column('col')
+def test_large_binary_write_to_csv(tmpdir):
+ data_size = int(1E6)
+ file_name = tmpdir / "fixedsize_"+str(data_size)+".csv"
+
+ nparr = np.frombuffer(np.random.randint(65, 91, data_size, 'u1'), 'S4')
+
+ fixed_arr = pa.array(nparr, pa.binary(4))
+ fixed_table = pa.Table.from_arrays([fixed_arr], names=['fixedsize'])
+
+ write_options = WriteOptions(include_header=True, batch_size=2048,
+ delimiter='|')
Review Comment:
The `batch_size` doesn't matter much, but for the sake of error
reproduction, I used it. But the data size is important. I agree with
@anjakefala
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