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django-queryset-batch-processing

Process large Django querysets and write-heavy jobs with memory-safe reads, values/values_list, iterator chunking, set-based update/delete, bulk_create, bulk_update, F expressions, Func expressions, and batch sizing. Use when a Django command, task, migration, report, or loop reads or writes many rows and is slow, memory-heavy, or query-heavy.

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Nov 6, 2026
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# Django QuerySet Batch Processing

Use this skill when Django code processes many rows. The goal is to avoid loading unnecessary model instances, avoid queryset result-cache blowups, and move writes into set-based database operations when behavior allows.

## Workflow

1. Identify the per-row work.
   - Is it read-only export/reporting?
   - Does it need model methods, validation, or signals?
   - Can the database compute or update the value directly?

2. Choose the read pattern.
   - Use `values()` or `values_list()` for scalar exports and reports.
   - Use `iterator(chunk_size=...)` when model instances are needed but queryset caching is not.