Where in the documentation can I find information about thread-safety
guarantee of arrow classes? In particular, is the following usage of
pyarrow.Table showed by the pseudo-code thread-safe?
arrow_table = pa.Table.from_pandas(df)
def other_thread_worker_impl(arrow_table):
arrow_table.column('some_column')[row].as_py()
run_in_parallel(other_thread_worker_impl, arrow_table)
I tried using pandas.DataFrame in the same multi-threaded setup and it
turned out to be unsafe (https://github.com/pandas-dev/pandas/issues/28439).
Thank you.
- Yevgeni
