redis中狀態監控和性能調優的示例分析

這篇文章主要為大家展示了“redis中狀態監控和性能調優的示例分析”，內容簡而易懂，條理清晰，希望能夠幫助大家解決疑惑，下面讓小編帶領大家一起研究并學習一下“redis中狀態監控和性能調優的示例分析”這篇文章吧。

1、redis-benchmark

redis基準信息，redis服務器性能檢測

例如：

檢測redis服務器性能，本機6379端口的實例，100個并發連接，100000個請求

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：監控本機6379端口的實例的數據操作，redis的連接及讀寫操作

redis-cli -h localhost -p 6379 monitor

先開啟一個終端1，用于redis監控

[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"

然后在開啟一個redis終端2進行操作

[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>

可以看到終端2上面進行的數據操作會在終端1上面被記錄下來

例2：查詢本機redis實例的信息，端口6379

redis-cli -h localhost -p 6379 info

備注：該命令也可以在redis終端里面進行查詢

[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 ~]#

以上是“redis中狀態監控和性能調優的示例分析”這篇文章的所有內容，感謝各位的閱讀！相信大家都有了一定的了解，希望分享的內容對大家有所幫助，如果還想學習更多知識，歡迎關注億速云行業資訊頻道！