我有一個由 json 項組成的 90G 文件。下面是僅包含 3 行的示例：{"description":"id1","payload":{"cleared":"2020-01-31T10:23:54Z","first":"2020-01-31T01:29:23Z","timestamp":"2020-01-31T09:50:47Z","last":"2020-01-31T09:50:47Z"}}{"description":"id2","payload":{"cleared":"2020-01-31T11:01:54Z","first":"2020-01-31T02:45:23Z","timestamp":"2020-01-31T09:50:47Z","last":"2020-01-31T09:50:47Z"}}{"description":"id3","payload":{"cleared":"2020-01-31T5:33:54Z","first":"2020-01-31T01:29:23Z","timestamp":"2020-01-31T07:50:47Z","last":"2019-01-31T04:50:47Z"}}最終目標是，對于每一行，獲得 的最大值first，cleared并用最大值last更新timestamp。然后按時間戳對所有項目進行排序。暫時忽略排序。我最初將文件 jsonified 為 json 文件并使用以下代碼：#!/usr/bin/pythonimport json as simplejsonfrom collections import OrderedDictwith open("input.json", "r") as jsonFile:    data = simplejson.load(jsonFile, object_pairs_hook=OrderedDict)for x in data:    maximum = max(x['payload']['first'],x['payload']['cleared'],x['payload']['last'])    x['payload']['timestamp']= maximumdata_sorted = sorted(data, key = lambda x: x['payload']['timestamp'])with open("output.json", "w") as write_file:    simplejson.dump(data_sorted, write_file)上面的代碼適用于一個小測試文件，但是當我為 90G 文件運行它時腳本被殺死了。然后我決定使用以下代碼逐行處理它：#!/usr/bin/pythonimport sysimport json as simplejsonfrom collections import OrderedDictfirst_arg = sys.argv[1]data = []with open(first_arg, "r") as jsonFile:    for line in jsonFile:        y = simplejson.loads(line,object_pairs_hook=OrderedDict)    payload = y['payload']        first  = payload.get('first', None)        clearedAt = payload.get('cleared')        last = payload.get('last')        lst = [first, clearedAt, last]        maximum = max((x for x in lst if x is not None))        y['payload']['timestamp']= maximum        data.append(y)with open("jl2json_new.json", "w") as write_file:    simplejson.dump(data, write_file, indent=4)還是被打死了。所以我想知道解決這個問題的最佳方法是什么？我嘗試了以下方法，但沒有幫助： https ://stackoverflow.com/a/21709058/322541