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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
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
127.0.0.1:6380 get a
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 ~]#
以上是“redis 中状态监控和性能调优的示例分析”这篇文章的所有内容,感谢各位的阅读!相信大家都有了一定的了解,希望分享的内容对大家有所帮助,如果还想学习更多知识,欢迎关注丸趣 TV 行业资讯频道!
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