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Yield only ``count`` rows at a time.
The purpose of this method is when fetching very large result sets
(> 10K rows), to batch results in sub-collections and yield them
out partially, so that the Python interpreter doesn't need to declare
very large areas of memory which is both time consuming and leads
to excessive memory use. The performance from fetching hundreds of
thousands of rows can often double when a suitable yield-per setting
(e.g. approximately 1000) is used, even with DBAPIs that buffer
rows (which are most).
As of SQLAlchemy 1.4, the :meth:`_orm.Query.yield_per` method is
equivalent to using the ``yield_per`` execution option at the ORM
level. See the section :ref:`orm_queryguide_yield_per` for further
background on this option.
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