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Consider having the following code and a jsonl file, there is a specific reason i don't read file with jsonlines.open() api, so please take this as a fact From multiprocessing.dummy import pool pool(4).map(get_result, file_lst) i do hope to open the json_file, write each result and then release the memory. I can't figure out how to create jsonl using python3

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'b'}] with open (data.json, 'w') as f Besides, i'm using parallel threads to process result Json lines is supported by some aws services and they use application/jsonlines content type.

I am trying to load and parse a json file in python

But i'm stuck trying to load the file: I am new to python and trying to parse data from a file that contains millions of lines Tried to go old school to parse it using excel but it fails How can i parse the information efficiently and

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I'm trying to convert a big one line json file to a multiline jsonlines file I've tried a bunch of commands and none of them are doing what i expect them to This is the format of my data (input f. I couldn't find a method which can write without overwriting the jsonline file

So how i can handle such big output