operate redis

  Redis is also a database, a relational database, without SQL, all redis data is stored in memory. The performance of redis itself is very good, supporting 30w reads and writes per second.

  import redis

  r = redis.Redis(host='118.xx.x.xx',password='xxxxx',db=1,port=6379)#port default 6379 db=1 first database

#Add , delete, modify and check 
r.set('key value','value value') #Add a new value in the database #Modification 
is also set 
r.delete('key value') 
r.setex('python_123','hahaha' ,20) #Set the expiration time of the key, the last parameter is seconds 
hwt = r.get('hwt') 
print(hwt.decode())#Conversion code 
print(r.keys('*xxx*'))# Get all the keys 
print(r.get('sdfsdf')) 
r.set('Scorpio:mpp','Hehehe') 
r.get('Scorpio:mpp' ) #The 
above operations are for string type 
for k in r.keys(): #delete all keys 
   r.delete(k)

 

# Hash type hash nested dictionary 
r.hset('stu_info','a','1m8 100w deposit') #Save the value 
r.hset('stu_info','b','Wave, for.... ') 
r.hset('stu_info','c','...then...') 
print(r.hget('stu_info','a').decode()) #Specify big key and small key Get the corresponding data 
print(r.hgetall('stu_info')) #Get all k and -v inside 
stu_info = r.hgetall('stu_info') 
r.hdel('stu_info','gyx') #Delete the specified key 
r.delete('stu_info') #Delete the entire key 
r.expire('aaa',100) #The first key sets the expiration time 
new_stu_info = {} 
for k,v in stu_info.items(): 
   new_stu_info[k.decode ()] = v.decode() 
print(new_stu_info) 
print(r.type('stu_info')) #Check what type of key is 
print(r.type('zll')) 

#Character conversion

# s='Hehe' 
# s.encode() # Convert the string to binary 
# hwt = b'sdfsdfsdf' 
# hwt.decode() # Convert the bytes type to a string