


Loading and Parsing Multiple JSON Objects from a JSON Lines File
When attempting to load a JSON file containing multiple JSON objects separated by newline characters (JSON lines format), you may encounter the following error:
ValueError: Extra data: line 2 column 1 - line 225116 column 1 (char 232 - 160128774)
This error occurs because, while each individual line is valid JSON, the file itself is not a valid JSON value as there is no top-level list or object definition.
Parsing JSON Lines File with Python
To parse a JSON lines file, use the following approach:
import json data = [] with open('file') as f: for line in f: data.append(json.loads(line))
In this example, the following steps are performed:
- Load the JSON lines file as a text file.
- Iterate over each line in the file.
- For each line, parse the JSON using json.loads(line).
- Append the parsed JSON object to a list.
Benefits of Parsing JSON Lines
Parsing JSON lines offers several benefits:
- It can save memory consumption by processing each line separately.
- It allows you to process large files efficiently by avoiding loading the entire file into memory.
- It makes it easier to handle individual JSON objects, as you can access them directly from the list.
Handling JSON Delimited by Newline Characters
If your file contains individual JSON objects delimited by newline characters, you can use the method described in "How do I use the 'json' module to read in one JSON object at a time?" to parse out individual objects using a buffered method.
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