| redis测试一亿的数据写入占多少内存 | 您所在的位置：网站首页 › 1亿=多少千万=多少万 › redis测试一亿的数据写入占多少内存 |
redis测试一亿的数据写入占多少内存
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key是IPv4 或IPv6 字节+20字节。Varle 是50-200之间的随机数 #!/usr/bin/env python # -*- coding: utf-8 -*- import redis import random import string import socket import struct import multiprocessing from random import choice from string import ascii_uppercase def IPv6_string(): s_ipv6=':'.join('{:x}'.format(random.randint(0, 2**16 - 1)) for i in range(4)) + ':1' return s_ipv6 def IPv4_string(): s_ipv4=socket.inet_ntoa(struct.pack('>I', random.randint(1, 0xffffffff))) return s_ipv4 def genRandomString(slen): return ''.join(choice(ascii_uppercase) for i in range(slen)) #return ''.join(random.sample(string.ascii_letters + string.digits, slen)) rds = redis.StrictRedis(host='localhost', port=6379) def rds_connet(interval): for num in range(1,interval): val=random.randint(50, 200) key=str(IPv4_string())+"_"+str(genRandomString(20)) #print (key,val) rds.set(key, val) if __name__ == "__main__": #rds_connet() p1 = multiprocessing.Process(target = rds_connet, args = (33000000,)) p2 = multiprocessing.Process(target = rds_connet, args = (33000000,)) p3 = multiprocessing.Process(target = rds_connet, args = (34000000,)) p1.start() p2.start() p3.start() # for p in multiprocessing.active_children(): # print("child p.name:" + p.name + "\tp.id" + str(p.pid)) Keyspacedb0:keys=100328396,expires=0,avg_ttl=0 Memoryused_memory:7577906016 used_memory_human:7.06G used_memory_rss:9184866304 used_memory_rss_human:8.55G used_memory_peak:7578123120 used_memory_peak_human:7.06G used_memory_peak_perc:100.00% used_memory_overhead:5087788214 used_memory_startup:860832 used_memory_dataset:2490117802 used_memory_dataset_perc:32.86% 结论： V4 一亿个key 使用内存 used_memory_human:6.96G 系统分配内存 used_memory_rss_human:8.45G 数据格式v4：185.246.51.113_DPSKRCNKYPGUYFUIDXDK 170 |
V6 一亿个key 使用内存 used_memory_human:8.45G 系统分配内存 used_memory_rss_human:9.94G 数据格式 V6 ：309d:136f:5d3c:916e:1_RBUZXCVUOTHLXPQRQYXX , 90 
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