jorisvandenbossche commented on issue #38212:
URL: https://github.com/apache/arrow/issues/38212#issuecomment-1759121919
Thanks for the report! Do you see the issue as well with a reproducible
example?
I tried something very simple creating a generator of batches to write, and
then I don't see any memory issue:
```python
import pyarrow as pa
import numpy as np
import pandas as pd
def generate_random_data():
for _ in range(1000):
yield pa.record_batch([np.random.randn(60000) for _ in range(5)],
['a', 'b', 'c', 'd', 'e'])
schema = pa.schema([(name, 'float64') for name in ['a', 'b', 'c', 'd', 'e']])
record_batch_reader = pa.RecordBatchReader.from_batches(schema,
generate_random_data())
with pa.OSFile("/tmp/outfile", mode="wb") as f:
record_batch_writer = pa.ipc.RecordBatchFileWriter(f, schema=schema)
for batch in record_batch_reader:
record_batch_writer.write_batch(batch)
record_batch_writer.close()
```
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