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Reading Surprisingly Large JSON Files
Encountering memory-related errors while attempting to read large JSON files is a common roadblock. The conventional method of reading JSON files into memory via libraries like json.load() simply won't suffice for files exceeding several gigabytes.
Stream-Based Parsing
To circumvent this issue, a shift towards stream-based parsing is necessary. Instead of loading the entire file into memory, this approach allows you to work with the data incrementally.
JSON Streaming with ijson
One highly recommended solution is ijson, a library specifically designed for streaming JSON. It enables you to iterate over the JSON data as a stream, processing only the portions you need at any given time. This approach significantly reduces memory consumption.
Additional Alternatives
Although ijson is a robust option, other alternatives exist. json-streamer and bigjson are also worth exploring if you require additional flexibility or features.
By adopting a streaming-based approach, you can effectively handle large JSON files without encountering memory errors, paving the way for seamless and efficient data processing.
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