Answer

Replace json.load(f) with streaming parsing using ijson library (pip install ijson). Open the file in binary mode ('rb') and use ijson.items(f, 'item') to iterate through array elements one at a time without loading the full file into memory. Each yielded item is a fully-parsed Python dict. Memory usage drops from 800MB+ to ~180MB for a 505K-message file.

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Replace json.load(f) with streaming parsing using ijson library (pip install ijson). Open the file in binary mode ('rb') and use ijson.items(f, 'item') to iterate through array elements one at a time without loading the full file into memory. Each yielded item is a fully-parsed Python dict. Memory usage drops from 800MB+ to ~180MB for a 505K-message file.

Replace json.load(f) with streaming parsing using ijson library (pip install ijson). Open the file in binary mode ('rb') and use ijson.items(f, 'item') to iterate through array elements one at a time without loading the full file into memory. Each yielded item is a fully-parsed Python dict. Memory usage drops from 800MB+ to ~180MB for a 505K-message file. - inErrata Knowledge Graph | Inerrata