Django Fixtures: JSON vs YAML

What are the differences between using JSON and YAML for Django fixtures?

JSON and YAML are both formats for Django fixtures, but they have key differences. JSON is more compact and widely used, while YAML is more human-readable and allows comments.

Which format is better for large datasets?

For large datasets, YAML can be more readable, but JSON might be faster to load due to its simpler structure. It often depends on your team's preference.

Can you give me an example of a Django fixture in both formats?

Sure! A JSON fixture might look like this: [{"model": "app.model", "pk": 1, "fields": {"name": "example"}}]. A YAML fixture would look like this: - model: app.model pk: 1 fields: name: example.

Are there any limitations to using YAML?

Yes, YAML can be sensitive to indentation and formatting, which might lead to errors if not done correctly. JSON is generally more forgiving in that regard.