扩展Redis的Jedis客户端,哨兵模式读请求走Slave集群
扩展Redis的Jedis客户端,哨兵模式读请求走Slave集群
Redis哨兵模式,由Sentinel节点和Redis节点组成,哨兵节点负责监控Redis的健康状况,负责协调Redis主从复制的关系。
本文不详细讨论Redis哨兵模式,关于哨兵的详细介绍可以参考(https://blog.csdn.net/u010297957/article/details/55050098)
在使用哨兵模式以后,客户端不能直接连接到Redis集群,而是连接到哨兵集群,通过哨兵节点获取Redis主节点(Master)的信息,再进行连接,下面给出一小段代码。
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JedisPoolConfig jedisPoolConfig = new JedisPoolConfig();
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jedisPoolConfig.setMaxTotal(10);
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jedisPoolConfig.setMaxIdle(5);
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jedisPoolConfig.setMinIdle(5);
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Set<String> sentinels = new HashSet<>(Arrays.asList(
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"192.168.80.112:26379",
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"192.168.80.113:26379",
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"192.168.80.114:26379"
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));
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GenericObjectPoolConfig poolConfig = new GenericObjectPoolConfig();
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poolConfig.setMaxTotal(10);
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poolConfig.setMaxIdle(5);
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poolConfig.setMinIdle(5);
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JedisSentinelPool pool = new JedisSentinelPool("mymaster", sentinels, jedisPoolConfig);
可以看到,客户端只配置了哨兵集群的IP地址,通过哨兵获取redis主节点信息,再与其进行连接,下面给出关键代码的源码分析,下面代码片段讲述了如何获取主节点信息。
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private HostAndPort initSentinels(Set<String> sentinels, final String masterName) {
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//主节点ip与port对象
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HostAndPort master = null;
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//是否可以连接到哨兵节点
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boolean sentinelAvailable = false;
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log.info("Trying to find master from available Sentinels...");
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//循环所有的哨兵节点,依次进行连接,逻辑如下:
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//先连接第一个,如果连接成功,能够获取主节点信息,方法返回,否则连接第二个,第三个,第N个。
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//如果全部都失败,则抛出异常,RedisPool初始化失败
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for (String sentinel : sentinels) {
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//哨兵的ip和port
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final HostAndPort hap = HostAndPort.parseString(sentinel);
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log.info("Connecting to Sentinel " + hap);
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Jedis jedis = null;
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try {
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//与哨兵节点进行连接,这里可能会出错,比如哨兵挂了。。
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jedis = new Jedis(hap.getHost(), hap.getPort());
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//查询主节点信息
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List<String> masterAddr = jedis.sentinelGetMasterAddrByName(masterName);
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//设置可以连接到哨兵
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sentinelAvailable = true;
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//如果主节点信息获取不到,则继续循环,换一下哨兵继续上面逻辑
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if (masterAddr == null || masterAddr.size() != 2) {
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log.warn("Can not get master addr, master name: " + masterName + ". Sentinel: " + hap
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+ ".");
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continue;
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}
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//获取到主节点信息
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master = toHostAndPort(masterAddr);
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log.info("Found Redis master at " + master);
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break;
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} catch (JedisException e) {
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// resolves #1036, it should handle JedisException there's another chance
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// of raising JedisDataException
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//出异常直接忽略,继续循环
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log.warn("Cannot get master address from sentinel running @ " + hap + ". Reason: " + e
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+ ". Trying next one.");
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} finally {
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if (jedis != null) {
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jedis.close();
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}
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}
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}
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//如果全部哨兵都获取不到主节点信息则抛出异常
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if (master == null) {
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//可以连接到哨兵,但是查询不到主节点信息
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if (sentinelAvailable) {
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// can connect to sentinel, but master name seems to not
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// monitored
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throw new JedisException("Can connect to sentinel, but " + masterName
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+ " seems to be not monitored...");
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} else {
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//连接不到哨兵 有可能哨兵全部挂了
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throw new JedisConnectionException("All sentinels down, cannot determine where is "
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+ masterName + " master is running...");
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}
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}
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log.info("Redis master running at " + master + ", starting Sentinel listeners...");
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//下面的逻辑是上面可以拿到主节点信息时才会执行
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//循环哨兵,建立订阅消息,监听节点切换消息,如果redis集群节点发生变动,这里会收到通知
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for (String sentinel : sentinels) {
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final HostAndPort hap = HostAndPort.parseString(sentinel);
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JedisSentinelSlavePool.MasterListener masterListener = new JedisSentinelSlavePool.MasterListener(masterName, hap.getHost(), hap.getPort());
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// whether MasterListener threads are alive or not, process can be stopped
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masterListener.setDaemon(true);
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masterListeners.add(masterListener);
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masterListener.start();
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}
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//返回主节点信息
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return master;
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}
下面的代码判断,分析了客户端如何感知到redis主从节点关系发生变化,原理是通过订阅哨兵的频道获取的,当又新的主节点出现,则清空原有连接池,根据新的主节点重新创建连接对象。
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-
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running.set(true);
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//死循环
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while (running.get()) {
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//与哨兵进行连接
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j = new Jedis(host, port);
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try {
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// double check that it is not being shutdown
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if (!running.get()) {
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break;
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}
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//订阅频道监听节点切换消息
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j.subscribe(new JedisPubSub() {
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@Override
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public void onMessage(String channel, String message) {
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log.info("Sentinel " + host + ":" + port + " published: " + message + ".");
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String[] switchMasterMsg = message.split(" ");
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if (switchMasterMsg.length > 3) {
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if (masterName.equals(switchMasterMsg[0])) {
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//toHostAndPort(Arrays.asList(switchMasterMsg[3], switchMasterMsg[4]))
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//这里获取了新的主节点的ip与端口
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//调用initPool清空原来的连接池,这样一来,当需要获取jedis时,池会根据新的主接线创建对象
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initPool(toHostAndPort(Arrays.asList(switchMasterMsg[3], switchMasterMsg[4])));
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} else {
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log.info("Ignoring message on +switch-master for master name "
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+ switchMasterMsg[0] + ", our master name is " + masterName);
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}
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} else {
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log.warn("Invalid message received on Sentinel " + host + ":" + port
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+ " on channel +switch-master: " + message);
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}
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}
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}, "+switch-master");
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} catch (JedisConnectionException e) {
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if (running.get()) {
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log.info("Lost connection to Sentinel at " + host + ":" + port
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+ ". Sleeping 5000ms and retrying.", e);
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try {
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//如果连接哨兵异常,则等待若干时间后无限重试
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Thread.sleep(subscribeRetryWaitTimeMillis);
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} catch (InterruptedException e1) {
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log.info( "Sleep interrupted: ", e1);
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}
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} else {
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log.info("Unsubscribing from Sentinel at " + host + ":" + port);
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}
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} finally {
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j.close();
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}
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}
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}
由此我们知道,Redis的客户端,在哨兵模式下的实现,读写都是走Master,那么缺点是显而易见的,那就是若干个Slave完全变成了热备,没有系统分担压力,接下来我们扩展它,让它支持可以在Slave节点读取数据,这样我们的程序,在写入数据时走Master,在读取数据时走Slave,大大提高了系统的性能。
第一步,我们重写这个类 JedisSentinelSlavePool extends Pool<Jedis>
所有代码都拷贝JedisSentinelPool,只修改了下面代码,创建了JedisSlaveFactory,传入了哨兵集群信息,和哨兵的名字。
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private void initPool(HostAndPort master) {
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if (!master.equals(currentHostMaster)) {
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currentHostMaster = master;
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if (factory == null) {
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factory = new JedisSlaveFactory(sentinels, masterName, connectionTimeout,
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soTimeout, password, database, clientName, false, null, null, null);
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initPool(poolConfig, factory);
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} else {
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internalPool.clear();
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}
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log.info("Created JedisPool to master at " + master);
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}
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}
第二步,创建JedisSlaveFactory。
makeObject这个方法,是Redis连接池获取底层连接的地方,我么只需要在这里,创建一个连接到Slave节点的对象即可,
思路就是通过哨兵集群,获取到可用的slave节点信息,然后随机选取一个创建对象,达到负载均衡的效果。
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package com.framework.core.redis;
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import lombok.extern.slf4j.Slf4j;
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import org.apache.commons.pool2.PooledObject;
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import org.apache.commons.pool2.PooledObjectFactory;
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import org.apache.commons.pool2.impl.DefaultPooledObject;
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import redis.clients.jedis.BinaryJedis;
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import redis.clients.jedis.HostAndPort;
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import redis.clients.jedis.Jedis;
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import redis.clients.jedis.exceptions.JedisConnectionException;
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import redis.clients.jedis.exceptions.JedisException;
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import javax.net.ssl.HostnameVerifier;
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import javax.net.ssl.SSLParameters;
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import javax.net.ssl.SSLSocketFactory;
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import java.util.*;
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-
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public class JedisSlaveFactory implements PooledObjectFactory<Jedis> {
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private final Set<String> sentinels;
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private final String masterName;
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private final int connectionTimeout;
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private final int soTimeout;
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private final String password;
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private final int database;
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private final String clientName;
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private final boolean ssl;
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private final SSLSocketFactory sslSocketFactory;
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private SSLParameters sslParameters;
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private HostnameVerifier hostnameVerifier;
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private Random random;
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public JedisSlaveFactory(final Set<String> sentinels, final String masterName, final int connectionTimeout,
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final int soTimeout, final String password, final int database, final String clientName,
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final boolean ssl, final SSLSocketFactory sslSocketFactory, final SSLParameters sslParameters,
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final HostnameVerifier hostnameVerifier) {
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this.sentinels = sentinels;
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this.masterName = masterName;
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this.connectionTimeout = connectionTimeout;
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this.soTimeout = soTimeout;
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this.password = password;
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this.database = database;
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this.clientName = clientName;
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this.ssl = ssl;
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this.sslSocketFactory = sslSocketFactory;
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this.sslParameters = sslParameters;
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this.hostnameVerifier = hostnameVerifier;
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this.random = new Random();
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}
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public void activateObject(PooledObject<Jedis> pooledJedis) throws Exception {
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final BinaryJedis jedis = pooledJedis.getObject();
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if (jedis.getDB() != database) {
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jedis.select(database);
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}
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}
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/**
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* 销毁redis底层连接
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*/
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public void destroyObject(PooledObject<Jedis> pooledJedis){
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log.debug("destroyObject =" + pooledJedis.getObject());
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final BinaryJedis jedis = pooledJedis.getObject();
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if (jedis.isConnected()) {
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try {
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jedis.quit();
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jedis.disconnect();
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} catch (Exception e) {
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}
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}
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}
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/**
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* 创建Redis底层连接对象,返回池化对象.
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*/
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public PooledObject<Jedis> makeObject() {
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List<HostAndPort> slaves = this.getAlivedSlaves();
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//在slave节点中随机选取一个节点进行连接
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int index = slaves.size() == 1 ? 0 : random.nextInt(slaves.size());
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final HostAndPort hostAndPort = slaves.get(index);
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log.debug("Create jedis instance from slaves=[" + slaves + "] , choose=[" + hostAndPort + "]");
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//创建redis客户端
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final Jedis jedis = new Jedis(hostAndPort.getHost(), hostAndPort.getPort(), connectionTimeout,
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soTimeout, ssl, sslSocketFactory, sslParameters, hostnameVerifier);
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//测试连接,设置密码,数据库.
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try {
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jedis.connect();
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if (null != this.password) {
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jedis.auth(this.password);
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}
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if (database != 0) {
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jedis.select(database);
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}
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if (clientName != null) {
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jedis.clientSetname(clientName);
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}
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} catch (JedisException je) {
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jedis.close();
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throw je;
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}
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return new DefaultPooledObject<Jedis>(jedis);
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}
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-
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/**
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* 获取可用的RedisSlave节点信息
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*/
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private List<HostAndPort> getAlivedSlaves() {
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log.debug("Get alived salves start...");
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List<HostAndPort> alivedSalaves = new ArrayList<>();
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boolean sentinelAvailable = false;
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//循环哨兵,建立连接获取slave节点信息
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//当某个哨兵连接失败,会忽略异常连接下一个哨兵
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for (String sentinel : sentinels) {
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final HostAndPort hap = HostAndPort.parseString(sentinel);
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log.debug("Connecting to Sentinel " + hap);
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Jedis jedis = null;
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try {
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jedis = new Jedis(hap.getHost(), hap.getPort());
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List<Map<String, String>> slavesInfo = jedis.sentinelSlaves(masterName);
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//可以连接到哨兵
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sentinelAvailable = true;
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//没有查询到slave信息,循环下一个哨兵
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if (slavesInfo == null || slavesInfo.size() == 0) {
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log.warn("Cannot get slavesInfo, master name: " + masterName + ". Sentinel: " + hap
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+ ". Trying next one.");
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continue;
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}
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//获取可用的Slave信息
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for (Map<String, String> slave : slavesInfo) {
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if(slave.get("flags").equals("slave")) {
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String host = slave.get("ip");
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int port = Integer.valueOf(slave.get("port"));
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HostAndPort hostAndPort = new HostAndPort(host, port);
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log.info("Found alived redis slave:[" + hostAndPort + "]");
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alivedSalaves.add(hostAndPort);
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}
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}
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log.debug("Get alived salves end...");
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break;
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} catch (JedisException e) {
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//当前哨兵连接失败,忽略错误连接下一个哨兵
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log.warn("Cannot get slavesInfo from sentinel running @ " + hap + ". Reason: " + e
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+ ". Trying next one.");
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} finally {
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if (jedis != null) {
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jedis.close();
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}
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}
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}
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//没有可用的slave节点信息
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if (alivedSalaves.isEmpty()) {
-
if (sentinelAvailable) {
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throw new JedisException("Can connect to sentinel, but " + masterName
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+ " cannot find any redis slave");
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} else {
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throw new JedisConnectionException("All sentinels down");
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}
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}
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return alivedSalaves;
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}
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-
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public void passivateObject(PooledObject<Jedis> pooledJedis) {
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}
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/**
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* 检查jedis客户端是否有效
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* @param pooledJedis 池中对象
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* @return true有效 false无效
-
*/
-
-
public boolean validateObject(PooledObject<Jedis> pooledJedis) {
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final BinaryJedis jedis = pooledJedis.getObject();
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try {
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//是否TCP连接 && 是否ping通 && 是否slave角色
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boolean result = jedis.isConnected()
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&& jedis.ping().equals("PONG")
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&& jedis.info("Replication").contains("role:slave");
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log.debug("ValidateObject Jedis=["+jedis+"] host=[ " + jedis.getClient().getHost() +
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"] port=[" + jedis.getClient().getPort() +"] return=[" + result + "]");
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return result;
-
} catch (final Exception e) {
-
log.warn("ValidateObject error jedis client cannot use", e);
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return false;
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}
-
}
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-
}
使用的时候跟原来一样,创建slave连接池就可以了。
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JedisPoolConfig jedisPoolConfig = new JedisPoolConfig();
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//连接池中最大对象数量
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jedisPoolConfig.setMaxTotal(100);
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//最大能够保持idel状态的对象数
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jedisPoolConfig.setMaxIdle(1);
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//最小能够保持idel状态的对象数
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jedisPoolConfig.setMinIdle(1);
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//当池内没有可用资源,最大等待时长
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jedisPoolConfig.setMaxWaitMillis(3000);
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//表示有一个idle object evitor线程对object进行扫描,调用validateObject方法.
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jedisPoolConfig.setTestWhileIdle(true);
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//evitor线程对object进行扫描的时间间隔
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jedisPoolConfig.setTimeBetweenEvictionRunsMillis(30000);
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//表示对象的空闲时间,如果超过这个时间对象没有被使用则变为idel状态
-
//然后才能被idle object evitor扫描并驱逐;
-
//这一项只有在timeBetweenEvictionRunsMillis大于0时和setTestWhileIdle=true时才有意义
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//-1 表示对象不会变成idel状态
-
jedisPoolConfig.setMinEvictableIdleTimeMillis(60000);
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//表示idle object evitor每次扫描的最多的对象数;
-
jedisPoolConfig.setNumTestsPerEvictionRun(10);
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-
//在从池中获取对象时调用validateObject方法检查
-
jedisPoolConfig.setTestOnBorrow(false);
-
//在把对象放回池中时调用validateObject方法检查
-
jedisPoolConfig.setTestOnReturn(false);
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-
Set<String> sentinels = new HashSet<>(Arrays.asList(
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"192.168.80.112:26379",
-
"192.168.80.113:26379",
-
"192.168.80.114:26379"
-
));
-
-
JedisSentinelSlavePool pool = new JedisSentinelSlavePool("mymaster", sentinels, jedisPoolConfig);
与Spring集成,分别创建不同的对象即可,在程序中查询接口可以先走slave进行查询,查询不到在查询master, master也没有则写入缓存,返回数据,下载在查询slave就同步过去啦,这样一来redis的性能会大幅度的提升。
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@Primary
-
@Bean(name = "redisTemplateMaster")
-
public RedisTemplate<Object, Object> redisTemplateMaster() {
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RedisTemplate<Object, Object> template = new RedisTemplate<>();
-
template.setConnectionFactory(redisMasterConnectionFactory());
-
template.setKeySerializer(new StringRedisSerializer());
-
template.setValueSerializer(new GenericJackson2JsonRedisSerializer());
-
return template;
-
}
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-
@Bean(name = "redisTemplateSlave")
-
public RedisTemplate<Object, Object> redisTemplateSlave() {
-
RedisTemplate<Object, Object> template = new RedisTemplate<>();
-
template.setConnectionFactory(redisSlaveConnectionFactory());
-
template.setKeySerializer(new StringRedisSerializer());
-
template.setValueSerializer(new GenericJackson2JsonRedisSerializer());
-
return template;
-
}