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Efficient and Memory-Conscious JSON Loading
When dealing with large JSON files, memory consumption can become a significant concern. Using the standard json.load() function to load the entire file at once can lead to excessive memory usage.
A more efficient approach is to parse the JSON file incrementally, loading only the necessary portions into memory at any given time. This is analogous to iterating over lines in a text file.
Introducing ijson
For JSON processing, the ijson library provides a SAX-like interface that allows for incremental parsing. It emits events as it encounters different elements within the JSON structure, such as the start and end of arrays and maps, as well as the values associated with keys.
Using ijson to Parse Large JSON Files
To use ijson to parse a large JSON file, simply replace json.load() with an ijson.parse() iterator:
import ijson for prefix, event, value in ijson.parse(open(json_file_name)): # Process the event and value according to your needs
The prefix provides a path-like identifier within the JSON tree, event indicates the type of event (e.g., start_map, string), and value contains the actual value associated with the event.
Advantages of ijson
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