尽可能减少 数据处理中的内存消耗
尽可能减少 数据处理中的内存消耗
服务器成本 时间成本
''' {"ad_slots_id":1002,"uuid":"f18343c2-3e09-4abd-b3c5-e00cf33ff84d","industry_pid":0,"industry_id":0,"ip":"3661949473","site":72,"address":"https:\/\/info.b2b168.com\/s168-54296673.html","create_date":"2019-01-02 14:56:58","ad_id":"33988392","uid":"33988392","keyword":"\u71c3\u70e7\u673a\u914d\u4ef6","pageinfo":""} {"ad_slots_id":1002,"uuid":"f18343c2-3e09-4abd-b3c5-e00cf33ff84d","industry_pid":0,"industry_id":0,"ip":"3661949473","site":72,"address":"https:\/\/info.b2b168.com\/s168-54296673.html","create_date":"2019-01-02 14:56:58","ad_id":"50017820","uid":"50017820","keyword":"\u5de5\u4e1a\u6cb9\u70df\u51c0\u5316\u5668","pageinfo":""} ''' def fileRows(f, debug=False): l = [] global pass_ip with open(f, 'r') as fr: for i in fr: try: # d = json.loads(i) i=i.strip('\n') l.append(i) except Exception as e: if debug: print(e) print(i) print(f) fr.close() del fr return l
for f in file_list: if target_date not in f: continue rows_ = fileRows(f) print(f, ':', len(rows_)) rows += rows_ del rows_ d = {} for i in rows: if 'uid' not in i: continue try: i = json.loads(i) uid, uuid, long_ip = i['uid'], i['uuid'], i['ip'] if uid not in d: d[uid] = {} d[uid]['uuid'], d[uid]['long_ip'], d[uid]['pv'] = [], [], 0 d[uid]['pv'] += 1 d[uid]['uuid'].append(uuid) d[uid]['long_ip'].append(long_ip) except Exception as e: if 4 > 91: print(e)
数据预处理阶段
数据的结构化处理会消耗不必要的内存,比如多行的json字符串构成的文件的逐行字符串转json
在数据的业务层面,逐行结构化,占用接近恒定的内存,增加对内存的控制性