Task: Efficiently Iterate Through Large Django QuerySets Without Excessive Memory Usage
Task: Efficiently Iterate Through Large Django QuerySets Without Excessive Memory Usage: a task in Terminal-Lego-15k (Harbor dataset). When iterating through a large Django QuerySet (e.g., millions of rows), the default behavior of QuerySet.all() and even QuerySet.iterator() can consume massive…
The task
When iterating through a large Django QuerySet (e.g., millions of rows), the default behavior of `QuerySet.all()` and even `QuerySet.iterator()` can consume massive amounts of memory. This is because Django (and the underlying database adapter, such as `psycopg2` for PostgreSQL) may load all results into memory…
Part of PrimeIntellect/Terminal-Lego-15k.