Speed up query-heavy requests - Deepstash
Speed up query-heavy requests

Speed up query-heavy requests

๐Ÿ“– Two Scoops of Django

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Finding query bottlenecks

Finding query bottlenecks

Review your API endpoints and views for:

  • Duplicate queries
  • Slow queries
  • ORM calls that resolve more queries than you expect

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Tips to reduce query bottlenecks

Tips to reduce query bottlenecks

  1. Reduce number of queries
  2. Speed up common queries
  3. Cache results of heavy queries
  4. Turn off ATOMIC_REQUESTS -- This settings makes all queries run in a transaction. Read Django docs before changing it to understand the trade-offs.
  5. Tune database settings

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Reduce number of queries

Reduce number of queries

  • Use select_related() to retrieve Foreign Key relations in the same query.
  • Use prefetch_related() for many-to-many and many-to-one relations.
  • Re-use query results across the lifetime of the request if you need them in more places.

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Speed up common queries

Speed up common queries

  • Add indexes on fields you frequently filter/sort on.
  • Analyze query plans generated by common queries and identify bottlenecks.
  • Rewrite queries to return smaller results sets when possible.
  • Re-model data in a way that allows indexes to work more efficiently.
  • As a last resort, use raw SQL when you can't generate an efficient query through the ORM.

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