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AggregateNumericRangeEquality requires ~ 20 GiB of memory (~ 50 M rows).
.fetchall() returns a list. Could we change this to perform the checks in a streaming fashion that doesn't require all of the data in memory at once?
.fetchall()
The text was updated successfully, but these errors were encountered:
Couldn't we "just" do it in SQL?
Otherwise, I agree that it's better to do it in a streaming fashion. Here's a bunch of examples how to do it https://github.com/zzzeek/sqlalchemy/blob/master/examples/performance/large_resultsets.py
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Certainly doing it in SQL would be better!
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AggregateNumericRangeEquality requires ~ 20 GiB of memory (~ 50 M rows).
.fetchall()
returns a list. Could we change this to perform the checks in a streaming fashion that doesn't require all of the data in memory at once?The text was updated successfully, but these errors were encountered: