前言
对于任何应用服务和组件,都需要一套完善可靠谱监控方案。
尤其redis这类敏感的纯内存、高并发和低延时的服务,一套完善的监控告警方案,是精细化运营的前提。
本文主要给大家介绍了关于redis状态监控和性能调优的相关内容,分享出来供大家参考学习,下面话不多说了,来一起看看详细的介绍吧。
1、redis-benchmark
redis基准信息,redis服务器性能检测
例如:
检测redis服务器性能,本机6379端口的实例,100个并发连接,100000个请求
redis-benchmark -h localhost -p 6379 -c 100 -n 100000
[root@redis-server ~]# redis-benchmark -h localhost -p 6379 -c 100 -n 100000 ====== PING_INLINE ====== requests completed in 1.29 seconds parallel clients bytes payload keep alive: 1 81.97% = 1 milliseconds 97.69% = 2 milliseconds 99.79% = 3 milliseconds 99.94% = 4 milliseconds 99.97% = 5 milliseconds 100.00% = 5 milliseconds 77639.75 requests per second ====== PING_BULK ====== requests completed in 1.49 seconds parallel clients bytes payload keep alive: 1 73.04% = 1 milliseconds 97.46% = 2 milliseconds 99.62% = 3 milliseconds 99.97% = 4 milliseconds 100.00% = 5 milliseconds 100.00% = 5 milliseconds 67204.30 requests per second ====== SET ====== requests completed in 1.30 seconds parallel clients bytes payload keep alive: 1 81.09% = 1 milliseconds 97.16% = 2 milliseconds 99.43% = 3 milliseconds 99.75% = 4 milliseconds 99.80% = 5 milliseconds 99.82% = 7 milliseconds 99.83% = 8 milliseconds 99.85% = 9 milliseconds 99.87% = 10 milliseconds 99.89% = 11 milliseconds 99.89% = 12 milliseconds 99.90% = 13 milliseconds 99.90% = 14 milliseconds 99.90% = 15 milliseconds 99.91% = 16 milliseconds 99.93% = 17 milliseconds 99.94% = 18 milliseconds 99.95% = 19 milliseconds 99.96% = 20 milliseconds 99.98% = 21 milliseconds 99.99% = 22 milliseconds 100.00% = 23 milliseconds 100.00% = 23 milliseconds 76687.12 requests per second ====== GET ====== requests completed in 1.91 seconds parallel clients bytes payload keep alive: 1 49.74% = 1 milliseconds 93.92% = 2 milliseconds 99.37% = 3 milliseconds 99.95% = 4 milliseconds 99.97% = 5 milliseconds 99.98% = 6 milliseconds 100.00% = 6 milliseconds 52273.91 requests per second ====== INCR ====== requests completed in 1.60 seconds parallel clients bytes payload keep alive: 1 66.32% = 1 milliseconds 96.55% = 2 milliseconds 99.61% = 3 milliseconds 99.96% = 4 milliseconds 100.00% = 5 milliseconds 62344.14 requests per second ====== LPUSH ====== requests completed in 1.27 seconds parallel clients bytes payload keep alive: 1 73.84% = 1 milliseconds 95.61% = 2 milliseconds 99.36% = 3 milliseconds 99.96% = 4 milliseconds 99.99% = 5 milliseconds 100.00% = 5 milliseconds 78492.93 requests per second ====== RPUSH ====== requests completed in 1.31 seconds parallel clients bytes payload keep alive: 1 80.47% = 1 milliseconds 96.93% = 2 milliseconds 99.56% = 3 milliseconds 99.98% = 4 milliseconds 100.00% = 5 milliseconds 100.00% = 5 milliseconds 76103.50 requests per second ====== LPOP ====== requests completed in 1.30 seconds parallel clients bytes payload keep alive: 1 74.91% = 1 milliseconds 95.50% = 2 milliseconds 99.29% = 3 milliseconds 99.95% = 4 milliseconds 100.00% = 5 milliseconds 100.00% = 5 milliseconds 77101.00 requests per second ====== RPOP ====== requests completed in 1.40 seconds parallel clients bytes payload keep alive: 1 77.99% = 1 milliseconds 97.07% = 2 milliseconds 99.61% = 3 milliseconds 99.97% = 4 milliseconds 99.98% = 5 milliseconds 100.00% = 6 milliseconds 100.00% = 6 milliseconds 71377.59 requests per second ====== SADD ====== requests completed in 1.32 seconds parallel clients bytes payload keep alive: 1 80.83% = 1 milliseconds 97.14% = 2 milliseconds 99.57% = 3 milliseconds 99.95% = 4 milliseconds 100.00% = 5 milliseconds 100.00% = 5 milliseconds 75757.57 requests per second ====== HSET ====== requests completed in 1.30 seconds parallel clients bytes payload keep alive: 1 80.25% = 1 milliseconds 96.83% = 2 milliseconds 99.49% = 3 milliseconds 99.97% = 4 milliseconds 100.00% = 4 milliseconds 76923.08 requests per second ====== SPOP ====== requests completed in 1.48 seconds parallel clients bytes payload keep alive: 1 73.97% = 1 milliseconds 96.91% = 2 milliseconds 99.55% = 3 milliseconds 99.96% = 4 milliseconds 100.00% = 5 milliseconds 100.00% = 5 milliseconds 67567.57 requests per second ====== LPUSH (needed to benchmark LRANGE) ====== requests completed in 1.35 seconds parallel clients bytes payload keep alive: 1 71.03% = 1 milliseconds 95.36% = 2 milliseconds 99.29% = 3 milliseconds 99.97% = 4 milliseconds 100.00% = 5 milliseconds 100.00% = 5 milliseconds 73909.83 requests per second ====== LRANGE_100 (first 100 elements) ====== requests completed in 2.91 seconds parallel clients bytes payload keep alive: 1 14.30% = 1 milliseconds 80.30% = 2 milliseconds 94.42% = 3 milliseconds 96.88% = 4 milliseconds 98.34% = 5 milliseconds 99.39% = 6 milliseconds 99.78% = 7 milliseconds 99.93% = 8 milliseconds 99.97% = 9 milliseconds 99.98% = 10 milliseconds 100.00% = 11 milliseconds 100.00% = 11 milliseconds 34317.09 requests per second ====== LRANGE_300 (first 300 elements) ====== requests completed in 5.88 seconds parallel clients bytes payload keep alive: 1 0.00% = 2 milliseconds 85.83% = 3 milliseconds 94.17% = 4 milliseconds 96.10% = 5 milliseconds 97.90% = 6 milliseconds 98.68% = 7 milliseconds 98.70% = 8 milliseconds 99.30% = 9 milliseconds 99.49% = 10 milliseconds 99.76% = 11 milliseconds 99.79% = 12 milliseconds 99.83% = 13 milliseconds 99.85% = 14 milliseconds 99.87% = 15 milliseconds 99.89% = 16 milliseconds 99.91% = 17 milliseconds 99.92% = 19 milliseconds 99.93% = 20 milliseconds 99.94% = 21 milliseconds 99.95% = 22 milliseconds 99.96% = 23 milliseconds 99.97% = 24 milliseconds 99.99% = 25 milliseconds 99.99% = 26 milliseconds 100.00% = 27 milliseconds 17006.80 requests per second ====== LRANGE_500 (first 450 elements) ====== requests completed in 8.16 seconds parallel clients bytes payload keep alive: 1 0.00% = 2 milliseconds 0.01% = 3 milliseconds 80.98% = 4 milliseconds 90.89% = 5 milliseconds 95.60% = 6 milliseconds 97.20% = 7 milliseconds 98.23% = 8 milliseconds 98.53% = 9 milliseconds 99.06% = 10 milliseconds 99.09% = 11 milliseconds 99.46% = 12 milliseconds 99.53% = 13 milliseconds 99.65% = 14 milliseconds 99.75% = 15 milliseconds 99.79% = 16 milliseconds 99.81% = 17 milliseconds 99.82% = 18 milliseconds 99.84% = 19 milliseconds 99.85% = 20 milliseconds 99.86% = 21 milliseconds 99.87% = 22 milliseconds 99.88% = 23 milliseconds 99.89% = 24 milliseconds 99.90% = 25 milliseconds 99.91% = 26 milliseconds 99.93% = 27 milliseconds 99.93% = 28 milliseconds 99.94% = 29 milliseconds 99.95% = 30 milliseconds 99.96% = 31 milliseconds 99.98% = 32 milliseconds 99.98% = 33 milliseconds 99.99% = 34 milliseconds 99.99% = 35 milliseconds 100.00% = 36 milliseconds 100.00% = 36 milliseconds 12260.91 requests per second ====== LRANGE_600 (first 600 elements) ====== requests completed in 10.15 seconds parallel clients bytes payload keep alive: 1 0.00% = 3 milliseconds 0.01% = 4 milliseconds 84.84% = 5 milliseconds 93.41% = 6 milliseconds 96.43% = 7 milliseconds 97.71% = 8 milliseconds 97.75% = 9 milliseconds 98.32% = 10 milliseconds 98.79% = 11 milliseconds 99.19% = 12 milliseconds 99.22% = 13 milliseconds 99.25% = 14 milliseconds 99.48% = 15 milliseconds 99.56% = 16 milliseconds 99.60% = 17 milliseconds 99.68% = 18 milliseconds 99.74% = 19 milliseconds 99.77% = 20 milliseconds 99.79% = 21 milliseconds 99.82% = 22 milliseconds 99.83% = 23 milliseconds 99.85% = 24 milliseconds 99.86% = 25 milliseconds 99.86% = 26 milliseconds 99.87% = 27 milliseconds 99.88% = 28 milliseconds 99.89% = 29 milliseconds 99.90% = 30 milliseconds 99.90% = 31 milliseconds 99.91% = 32 milliseconds 99.91% = 33 milliseconds 99.92% = 34 milliseconds 99.94% = 35 milliseconds 99.95% = 36 milliseconds 99.95% = 37 milliseconds 99.96% = 38 milliseconds 99.96% = 39 milliseconds 99.96% = 40 milliseconds 99.97% = 41 milliseconds 99.98% = 42 milliseconds 99.98% = 43 milliseconds 99.99% = 44 milliseconds 99.99% = 45 milliseconds 99.99% = 46 milliseconds 100.00% = 47 milliseconds 100.00% = 47 milliseconds 9851.25 requests per second ====== MSET (10 keys) ====== requests completed in 1.89 seconds parallel clients bytes payload keep alive: 1 0.00% = 1 milliseconds 75.00% = 2 milliseconds 89.85% = 3 milliseconds 95.38% = 4 milliseconds 98.52% = 5 milliseconds 99.34% = 6 milliseconds 99.60% = 7 milliseconds 99.83% = 8 milliseconds 99.98% = 9 milliseconds 100.00% = 9 milliseconds 52994.17 requests per second [root@redis-server ~]#
2、redis-cli
例1:监控本机6379端口的实例的数据操作,redis的连接及读写操作
redis-cli -h localhost -p 6379 monitor
先开启一个终端1,用于redis监控
[root@redis-server ~]# redis-cli -h localhost -p 6379 monitor OK 1504689350.635365 [0 127.0.0.1:57996] "COMMAND" 1504689361.944610 [0 127.0.0.1:57996] "set" "a" "1" 1504689369.782029 [0 127.0.0.1:57996] "get" "a"
然后在开启一个redis终端2进行操作
[root@redis-server ~]# redis-cli -p 6379 127.0.0.1:6380> set a 1 OK 127.0.0.1:6380> get a "1" 127.0.0.1:6380>
可以看到终端2上面进行的数据操作会在终端1上面被记录下来
例2:查询本机redis实例的信息,端口6379
redis-cli -h localhost -p 6379 info
备注:该命令也可以在redis终端里面进行查询
[root@redis-server ~]# redis-cli -h localhost -p 6379 info # Server redis_version:3.2.10 redis_git_sha1:00000000 redis_git_dirty:0 redis_build_id:eae5a0b8746eb6ce redis_mode:standalone os:Linux 2.6.32-431.el6.x86_64 x86_64 arch_bits:64 multiplexing_api:epoll gcc_version:4.4.7 process_id:6003 run_id:0057d03b2e908ee036c2aa1c3531e8aa051d7468 tcp_port:6379 uptime_in_seconds:159221 uptime_in_days:1 hz:10 lru_clock:11517636 executable:/usr/local/redis/bin/redis-server config_file:/usr/local/redis/conf/redis.conf # Clients connected_clients:1 client_longest_output_list:0 client_biggest_input_buf:0 blocked_clients:0 # Memory used_memory:1828104 used_memory_human:1.74M used_memory_rss:4050944 used_memory_rss_human:3.86M used_memory_peak:8439360 used_memory_peak_human:8.05M total_system_memory:1960443904 total_system_memory_human:1.83G used_memory_lua:37888 used_memory_lua_human:37.00K maxmemory:0 maxmemory_human:0B maxmemory_policy:noeviction mem_fragmentation_ratio:2.22 mem_allocator:jemalloc-4.0.3 # Persistence loading:0 rdb_changes_since_last_save:0 rdb_bgsave_in_progress:0 rdb_last_save_time:1504689256 rdb_last_bgsave_status:ok rdb_last_bgsave_time_sec:0 rdb_current_bgsave_time_sec:-1 aof_enabled:0 aof_rewrite_in_progress:0 aof_rewrite_scheduled:0 aof_last_rewrite_time_sec:-1 aof_current_rewrite_time_sec:-1 aof_last_bgrewrite_status:ok aof_last_write_status:ok # Stats total_connections_received:3603 total_commands_processed:3600007 instantaneous_ops_per_sec:0 total_net_input_bytes:192800186 total_net_output_bytes:2634476722 instantaneous_input_kbps:0.00 instantaneous_output_kbps:0.00 rejected_connections:0 sync_full:0 sync_partial_ok:0 sync_partial_err:0 expired_keys:0 evicted_keys:0 keyspace_hits:1000003 keyspace_misses:0 pubsub_channels:0 pubsub_patterns:0 latest_fork_usec:408 migrate_cached_sockets:0 # Replication role:master connected_slaves:0 master_repl_offset:0 repl_backlog_active:0 repl_backlog_size:1048576 repl_backlog_first_byte_offset:0 repl_backlog_histlen:0 # CPU used_cpu_sys:99.45 used_cpu_user:108.88 used_cpu_sys_children:0.01 used_cpu_user_children:0.01 # Cluster cluster_enabled:0 # Keyspace db0:keys=7,expires=0,avg_ttl=0 [root@redis-server ~]#
总结
以上就是这篇文章的全部内容了,希望本文的内容对大家的学习或者工作能带来一定的帮助,如果有疑问大家可以留言交流,谢谢大家对脚本之家的支持。