RDB 试验（一）同步命令 save

最新推荐文章于 2024-04-28 16:03:14 发布

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最新推荐文章于 2024-04-28 16:03:14 发布

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本文链接：https://blog.youkuaiyun.com/weixin_33669968/article/details/90735644

本文详细介绍Redis配置文件重置过程，包括配置项修改、启动与数据操作，演示了使用Jedis进行批量数据插入，以及如何监控内存使用情况。同时，通过实验展示了Redis在执行save命令时对客户端读取操作的影响。

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重置配置文件

[root@redis3_0_7 ~]# redis-cli -p 6382 shutdown
[root@redis3_0_7 ~]# cd /opt/soft/redis/config
[root@redis3_0_7 config]# rm -rf redis-6382.conf 
[root@redis3_0_7 config]# cp ../redis.conf .
[root@redis3_0_7 config]# cp redis.conf redis-6379.conf
[root@redis3_0_7 config]# vi redis-6379.conf
daemonize yes
pidfile /var/run/redis-6379.pid
port 6379
logfile "6379.log"
#save 900 1
#save 300 10
#save 60 10000
stop-writes-on-bgsave-error yes
rdbcompression yes
rdbchecksum yes
dbfilename dump-6379.rdb
dir /opt/soft/redis/data

重置后的 redis-6379.conf

daemonize yes
pidfile /var/run/redis-6379.pid
port 6379
tcp-backlog 511
timeout 0
tcp-keepalive 0
loglevel notice
logfile "6379.log"
databases 16
stop-writes-on-bgsave-error yes
rdbcompression yes
rdbchecksum yes
dbfilename dump-6379.rdb
dir /opt/soft/redis/data
slave-serve-stale-data yes
slave-read-only yes
repl-diskless-sync no
repl-diskless-sync-delay 5
repl-disable-tcp-nodelay no
slave-priority 100
appendonly no
appendfilename "appendonly.aof"
appendfsync everysec
no-appendfsync-on-rewrite no
auto-aof-rewrite-percentage 100
auto-aof-rewrite-min-size 64mb
aof-load-truncated yes
lua-time-limit 5000
slowlog-log-slower-than 10000
slowlog-max-len 128
latency-monitor-threshold 0
notify-keyspace-events ""
hash-max-ziplist-entries 512
hash-max-ziplist-value 64
list-max-ziplist-entries 512
list-max-ziplist-value 64
set-max-intset-entries 512
zset-max-ziplist-entries 128
zset-max-ziplist-value 64
hll-sparse-max-bytes 3000
activerehashing yes
client-output-buffer-limit normal 0 0 0
client-output-buffer-limit slave 256mb 64mb 60
client-output-buffer-limit pubsub 32mb 8mb 60
hz 10
aof-rewrite-incremental-fsync yes

启动 redis

[root@redis3_0_7 config]# redis-server redis-6379.conf
[root@redis3_0_7 config]# redis-cli
127.0.0.1:6379> dbsize
(integer) 0

用 Jedis 向 redis 中插入数据，更改 key，让程序运行 4 遍；

public class PipelineMain {

    public static void main(String[] args) {
        Jedis jedis = new Jedis(Const.HOST, Const.PORT);
        for(int i = 0; i < 1000; i++) {
            Pipeline pipeline = jedis.pipelined();
            for(int j = i * 1000; j < (i + 1) * 1000; j++) {
                pipeline.hset("HashKey3:" + j, "field" + j, "value" + j);
            }
            pipeline.syncAndReturnAll();
        }
    }

}

redis 大小

127.0.0.1:6379> dbsize
(integer) 4000000
127.0.0.1:6379> info memory
# Memory
used_memory:546325720
used_memory_human:521.02M
used_memory_rss:560660480
used_memory_peak:546346432
used_memory_peak_human:521.04M
used_memory_lua:36864
mem_fragmentation_ratio:1.03
mem_allocator:jemalloc-3.6.0

客户端 1 准备读

127.0.0.1:6379> set hello world
OK
127.0.0.1:6379> get hello

客户端 2 执行 save

127.0.0.1:6379> save

客户端 1 读，被阻塞

127.0.0.1:6379> get hello

客户端 2 save 执行完，客户端 1 读才完成

127.0.0.1:6379> save
OK
(3.86s)

127.0.0.1:6379> get hello
"world"
(2.73s)