解決redis與Python交互取出來的是bytes類型的問題

更新時(shí)間：2020年07月16日 09:35:47 作者：重裝大師1024

這篇文章主要介紹了解決redis與Python交互取出來的是bytes類型的問題，具有很好的參考價(jià)值，希望對(duì)大家有所幫助。一起跟隨小編過來看看吧

基本代碼

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)

運(yùn)行結(jié)果：

True

b'python'

這里我們存進(jìn)去的是字符串類型的數(shù)據(jù)，取出來卻是字節(jié)類型的，這是由于python3的與redis交互的驅(qū)動(dòng)的問題，Python2取出來的就是字符串類型的。

為了得到字符串類型的數(shù)據(jù)，你可以每次取出來decode一下，但是太繁瑣了，可以這樣設(shè)置：

sr = StrictRedis(host='localhost', port=6379, db=0,decode_responses=True)

即在連接數(shù)據(jù)庫(kù)的時(shí)候加上decode_responses=True即可

補(bǔ)充知識(shí)：python讀并寫入redis 使用pipline管道

日常開發(fā)中，我們總是需要將一些文件寫入到緩存中。而讀文件較快的方式就是python了，另外python提供了非常好用的api幫助我們連接redis。本例中將會(huì)用rediscluster包來連接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) # 當(dāng)前目錄路徑
   # print('sub_dirs:', dirs) # 當(dāng)前路徑下所有子目錄
   print('files:', files) # 當(dāng)前路徑下所有非目錄子文件
   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]
# 第一個(gè)參數(shù)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)

在使用的時(shí)候需要將要插入的文件以參數(shù)形式傳入到命令中

例如，將 /data/a.log 插入到redis中