基本代码 from redis import *if __name__ == '__main__': sr = StrictRedis(host='localhost', port=6379, db=0) result=sr.set('name','python') print(result) result1 = sr.get('name') print(result1) 运行结果: True b'python' 这里我们存
基本代码
from redis import * if __name__ == '__main__': sr = StrictRedis(host='localhost', port=6379, db=0) result=sr.set('name','python') print(result) result1 = sr.get('name') print(result1)
运行结果:
True
b'python'
这里我们存进去的是字符串类型的数据,取出来却是字节类型的,这是由于python3的与redis交互的驱动的问题,Python2取出来的就是字符串类型的。
为了得到字符串类型的数据,你可以每次取出来decode一下,但是太繁琐了,可以这样设置:
sr = StrictRedis(host='localhost', port=6379, db=0,decode_responses=True)
即在连接数据库的时候加上decode_responses=True即可
补充知识:python读并写入redis 使用pipline管道
日常开发中,我们总是需要将一些文件写入到缓存中。而读文件较快的方式就是python了,另外python提供了非常好用的api帮助我们连接redis。本例中将会用rediscluster包来连接redis集群,并使用pipeline管道插入文件
# encoding: utf-8 from rediscluster import StrictRedisCluster import sys import os import datetime # redis_nodes = [{"host": "10.80.23.175", "port": 7000}, # {"host": "10.80.23.175", "port": 7001}, # {"host": "10.80.24.175", "port": 7000}, # {"host": "10.80.24.175", "port": 7001}, # {"host": "10.80.25.175", "port": 7000}, # {"host": "10.80.25.175", "port": 7001} # ] def redis_cluster(): redis_nodes = [{"host": "10.80.23.175", "port": 7000}, {"host": "10.80.23.175", "port": 7001}, {"host": "10.80.24.175", "port": 7000}, {"host": "10.80.24.175", "port": 7001}, {"host": "10.80.25.175", "port": 7000}, {"host": "10.80.25.175", "port": 7001} ] try: redisconn = StrictRedisCluster(startup_nodes=redis_nodes, skip_full_coverage_check=True) return redisconn except Exception as e: print("Connect Error!") sys.exit(1) def to_redis(redis_conn1, file_name): # file_name = "D:\data\logs\hippo.log" pipe = redis_conn1.pipeline() # pos = [] index = 0 count = 0 with open(file_name, 'r') as file_to_read: while True: lines = file_to_read.readline() lines = lines.replace("\n", "") if not lines: break pass s = lines.split("\t") value = s[1] key = s[0] result = pipe.lpush(key, value) # print(file_name + s) index = index + 1 if index > 5000: pipe.execute() index = 0 count = count + 1 print("execute insert! count is %d" % count) pass pass pipe.execute() def read_file(path): if os.path.isfile(path): print("start execute file %s" % path) to_redis(path) else: for root, dirs, files in os.walk(path): # print('root_dir:', root) # 当前目录路径 # print('sub_dirs:', dirs) # 当前路径下所有子目录 print('files:', files) # 当前路径下所有非目录子文件 for fileName in files: all_name = root + "/" + fileName print("start execute file %s" % all_name) to_redis(redis_conn, all_name) start_time = datetime.datetime.now() redis_conn = redis_cluster() file_paths = sys.argv[1] # 第一个参数是本文件 故去掉 #file_paths.pop[0] #for file_name in file_paths: #print(file_paths) read_file(file_paths) end_time = datetime.datetime.now() print("use times is %d " % (end_time - start_time).seconds)
在使用的时候需要将要插入的文件以参数形式传入到命令中
例如,将 /data/a.log 插入到redis中
python RedisFIleToRedis.py /data/a.log
以上这篇解决redis与Python交互取出来的是bytes类型的问题就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持易盾网络。