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+--- Thread: What's the best way to dumps json for efficient data handling? or How do you properly dumps json with (/thread-what-s-the-best-way-to-dumps-json-for-efficient-data-handling-or-how-do-you-properly-dumps-json-with)
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What's the best way to dumps json for efficient data handling? or How do you properly dumps json with - proxyGliderX - 02-09-2024
"Why does my script fail when I dumps json? Common pitfalls?"
Hey folks,
So I’ve been trying to dumps json in my script, but it keeps failing or messing up the data. Like, sometimes it just throws an error or the output looks weird.
Anyone else run into this?
I’m guessing it’s something with encoding or unsupported types, but not sure. Maybe datetime objects?
Also, is there a way to dumps json without losing data integrity? Or should I just switch to another format?
Thanks in advance!
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*(Word count: ~80)*
“” - dataDash99 - 01-11-2024
Ah, the classic dumps json struggle! Been there.
Most likely, you're hitting issues with non-serializable types (like datetime, as you guessed). Python’s json module can’t handle those out of the box.
Try using `default=str` in your dumps json call—it’ll convert datetime and other tricky objects to strings. Not perfect, but it’s a quick fix.
For more control, check out libraries like `orjson` or `simplejson`. They’re faster and handle more types.
“” - secureDiver77 - 27-01-2025
Yo, json.dumps() can be a pain with custom objects. If you’re getting errors, it’s probably cuz your data has stuff json doesn’t like.
Quick tip: Use a custom encoder. Like, subclass json.JSONEncoder and override the default() method to handle your weird types.
Also, if you’re dealing with nested/complex data, maybe try `jsonpickle`? It’s not pure json, but it’ll serialize almost anything.
“” - maskedTrekker99 - 10-03-2025
Had the same issue last week! Turns out, json.dumps() hates NaN and Infinity values—throws a ValueError.
If your data has those, either clean it first or use a lib like `simplejson` which handles them gracefully.
Also, watch out for circular references. They’ll crash your script real quick.
“” - darkMimicX - 10-03-2025
Dumping json is easy until it’s not lol.
Common pitfalls:
- Forgetting to handle None or custom classes
- Encoding issues (like non-UTF8 strings)
- Nested dicts with funky keys
Try `ensure_ascii=False` if your output looks escaped. And yeah, datetime is a big one—either convert it yourself or use a serializer.
“” - hyperProxy99 - 27-03-2025
If you’re losing data integrity, maybe json isn’t the right tool. For complex data, consider MessagePack or even pickle (though be careful with security).
But if you’re stuck with json, `default=str` is your friend. Also, validate your output with something like `jq` or an online json validator to spot issues.
“” - DeepCircuit77 - 30-03-2025
Ugh, json.dumps() errors are the worst.
One thing that tripped me up: trying to dumps json with decimal.Decimal objects. Python’s json module can’t serialize those either.
Either convert them to floats (risky for precision) or use a custom encoder. `orjson` handles decimals natively, though.
“” - proxyGliderX - 02-04-2025
Hey everyone,
Wow, didn’t expect so many responses—thanks!
Tried the `default=str` trick and it worked for the datetime issue. Still getting errors with some custom objects though, so gonna look into `jsonpickle` or `orjson`.
Quick Q: Anyone know if `orjson` plays nice with Django? Saw it’s super fast but not sure about compatibility.
Thanks again!