corleyma commented on code in PR #1995:
URL: https://github.com/apache/iceberg-python/pull/1995#discussion_r2122591607
##########
pyiceberg/io/pyarrow.py:
##########
@@ -1643,8 +1646,20 @@ def to_record_batches(self, tasks:
Iterable[FileScanTask]) -> Iterator[pa.Record
ResolveError: When a required field cannot be found in the file
ValueError: When a field type in the file cannot be projected to
the schema type
"""
+ from concurrent.futures import ThreadPoolExecutor
+
deletes_per_file = _read_all_delete_files(self._io, tasks)
- return self._record_batches_from_scan_tasks_and_deletes(tasks,
deletes_per_file)
+
+ if concurrent_tasks is not None:
+ with ThreadPoolExecutor(max_workers=concurrent_tasks) as pool:
Review Comment:
Rather than create your own threadpool executor here, I think you should use
the ExecutorFactory defined elsewhere in the repo. It has a get_or_create
method that prevents creating a new threadpool on every call, among other
things.
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