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MemoryError when processing large JSON files in Python 2.7 using simplejson

πŸ‘€ Views: 24 πŸ’¬ Answers: 1 πŸ“… Created: 2025-06-19
python-2.7 json memory-management simplejson Python

After trying multiple solutions online, I still can't figure this out. After trying multiple solutions online, I still can't figure this out. I'm trying to process a large JSON file (around 5GB) with Python 2.7 using the `simplejson` library... When I try to load the entire JSON data into memory with `simplejson.load()`, I encounter a `MemoryError`. Here’s the code snippet I’m using: ```python import simplejson as json with open('large_file.json', 'r') as f: data = json.load(f) ``` I’ve tried increasing the memory limit in my environment, but it seems like the process is still running out of memory. I checked that the system has around 16GB of RAM available, and I have also ensured that no other memory-intensive processes are running simultaneously. I considered using `json.load()` with streaming or chunking methods, but I’m not sure how to implement that effectively without losing data integrity. I also looked at `ijson`, which claims to be a better fit for parsing large JSON files incrementally, but it seems to have a steeper learning curve. Could anyone suggest a solution to efficiently process large JSON files in Python 2.7 without running into memory issues? Is there a recommended pattern using `simplejson` or perhaps another library that handles this situation better? Any insights would be appreciated! I've been using Python for about a year now. Cheers for any assistance! Could someone point me to the right documentation?