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Python⇒Speed: Loading Pydantic models from JSON without running out of memory

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You have a large JSON file, and you want to load the data into Pydantic. Unfortunately, this uses a lot of memory, to the point where large JSON files are very difficult to read. What to do?

Assuming you’re stuck with JSON, in this article we’ll cover:

  • The high memory usage you get with Pydantic’s default JSON loading.
  • How to reduce memory usage by switching to another JSON library.
  • Going further by switching to dataclasses with slots.
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