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Handling Large Dictionary Serialization implementing JSON in Python 3.10

👀 Views: 1028 đŸ’Ŧ Answers: 1 📅 Created: 2025-06-25
python json performance dictionary Python

I'm prototyping a solution and I've searched everywhere and can't find a clear answer... I've been banging my head against this for hours. I'm trying to serialize a large dictionary to JSON using Python 3.10, but I'm working with issues with memory consumption and performance. The dictionary I'm working with contains nearly 100,000 entries, and while it seems to work fine for smaller datasets, I get a `MemoryError` when I attempt to serialize this larger dictionary. Here's a simplified version of my dictionary structure: ```python large_dict = {f'key_{i}': {'value': i, 'meta': str(i * 10000)} for i in range(100000)} ``` I've tried using `json.dumps()` to convert it to JSON: ```python import json json_data = json.dumps(large_dict) ``` However, this leads to a `MemoryError` in many cases. I've also experimented with using `ujson` as an alternative, which is supposed to be faster, but the scenario remains. I've considered breaking the dictionary into smaller chunks to serialize them individually, but I'm unsure of the best way to handle that to maintain the integrity of the data. Is there a better approach or a library that can handle large dictionary serialization more efficiently? Any insights or suggestions would be greatly appreciated! I'm developing on Ubuntu 22.04 with Python. What would be the recommended way to handle this? Am I missing something obvious? I'm working in a Windows 11 environment.