zhengruifeng commented on code in PR #53769:
URL: https://github.com/apache/spark/pull/53769#discussion_r2710761397
##########
python/pyspark/worker.py:
##########
@@ -412,14 +530,17 @@ def get_args(*args: pd.Series):
return zip(*args)
if runner_conf.arrow_concurrency_level > 0:
- from concurrent.futures import ThreadPoolExecutor
@fail_on_stopiteration
def evaluate(*args: pd.Series) -> pd.Series:
- with
ThreadPoolExecutor(max_workers=runner_conf.arrow_concurrency_level) as pool:
- return pd.Series(
- list(pool.map(lambda row: result_func(func(*row)),
get_args(*args)))
Review Comment:
@fangchenli I just notice there is a `chunksize` argument in `pool.map`, is
it similar to what the PR does?
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