个人总结，有问题请指出
目录
- 0x00 场景说明
- 0x01 方法1 Redis.zadd()
- 0x02 方法2 Redis.execute_command('ZADD', name, *pieces, **options)
- 0x03 方法3 pipeline
- 0x04 输出
0x00 场景说明
假设：有数条从SQL检索出的结果，需要以时间为序，存入sorted set
0x01 方法1 Redis.zadd()
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | import redis import pickle # 序列化库 import datetime sql_rst = [ {'sn': 'A', 'price': 2, 'dt': datetime.datetime(2020,4,24,8)}, {'sn': 'B', 'price': 3, 'dt': datetime.datetime(2020,4,24,9)}, {'sn': 'C', 'price': 4, 'dt': datetime.datetime(2020,4,24,10)}, ] r = redis.Redis('localhost', 6379) params_dict = {} for d in sql_rst: params_dict.setdefault(pickle.dumps(d), d.get('dt').timestamp()) r.zadd(name='tst', mapping=params_dict) |
关键在于mapping参数需要是一个{member1: score1, memeber2: score2, …}的字典
0x02 方法2 Redis.execute_command(‘ZADD’, name, *pieces, **options)
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | import redis import pickle # 序列化库 import datetime sql_rst = [ {'sn': 'A', 'price': 2, 'dt': datetime.datetime(2020,4,24,8)}, {'sn': 'B', 'price': 3, 'dt': datetime.datetime(2020,4,24,9)}, {'sn': 'C', 'price': 4, 'dt': datetime.datetime(2020,4,24,10)}, ] r = redis.Redis('localhost', 6379) params_list = [] for d in sql_rst: params_list.append(d.get('dt').timestamp()) params_list.append(pickle.dumps(d)) r.execute_command('ZADD', 'tst', *params_list) |
params_list是一个偶数长度的列表，偶数下标为score，奇数下标为member。（其实它就是模拟redis命令行执行zadd语句）
0x03 方法3 pipeline
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | import redis import pickle # 序列化库 import datetime sql_rst = [ {'sn': 'A', 'price': 2, 'dt': datetime.datetime(2020,4,24,8)}, {'sn': 'B', 'price': 3, 'dt': datetime.datetime(2020,4,24,9)}, {'sn': 'C', 'price': 4, 'dt': datetime.datetime(2020,4,24,10)}, ] r = redis.Redis('localhost', 6379) pipe = r.pipeline() for d in sql_rst: pipe.zadd(name='tst', mapping={pickle.dumps(d): d.get('dt').timestamp()}) pipe.execute() |
0x04 输出
