引用
一、redis-cluster构造
引用
二、与spring-data-redis集成
1.JedisCluster
以集群方式使用连接池，来直接使用redis相关命令。
spring.xml
<bean id="jedisPoolConfig" class="redis.clients.jedis.JedisPoolConfig">
<property name="maxTotal" value="${redis.maxTotal}" />
<property name="maxIdle" value="${redis.maxIdle}" />
<property name="maxWaitMillis" value="${redis.maxWaitMillis}" />
<property name="testOnBorrow" value="${redis.testOnBorrow}" />
<property name="testOnReturn" value="${redis.testOnReturn}" />
</bean>
<bean id="redisConnectionFactory"
class="com.sinowel.eacpa.test.JedisClusterFactory">
<property name="addressConfig">
<value>classpath:connect-redis.properties</value>
</property>
<!-- 属性文件里 key的前缀 -->
<property name="addressKeyPrefix" value="address" />
<property name="timeout" value="300000" />
<property name="maxRedirections" value="6" />
<property name="genericObjectPoolConfig" ref="jedisPoolConfig" />
</bean>
connect-redis.properties
address1=192.168.71.188:6380 address2=192.168.71.188:6381 address3=192.168.71.188:6382 address4=192.168.71.188:7380 address5=192.168.71.188:7381 address6=192.168.71.188:7382
import java.util.HashSet;
import java.util.Properties;
import java.util.Set;
import java.util.regex.Pattern;
import org.apache.commons.pool2.impl.GenericObjectPoolConfig;
import org.springframework.beans.factory.FactoryBean;
import org.springframework.beans.factory.InitializingBean;
import org.springframework.core.io.Resource;
import redis.clients.jedis.HostAndPort;
import redis.clients.jedis.JedisCluster;
public class JedisClusterFactory implements FactoryBean<JedisCluster>, InitializingBean {
private Resource addressConfig;
private String addressKeyPrefix ;
private JedisCluster jedisCluster;
private Integer timeout;
private Integer maxRedirections;
private GenericObjectPoolConfig genericObjectPoolConfig;
private Pattern p = Pattern.compile("^.+[:]\\d{1,5}\\s*$");
@Override
public JedisCluster getObject() throws Exception {
return jedisCluster;
}
@Override
public Class<? extends JedisCluster> getObjectType() {
return (this.jedisCluster != null ? this.jedisCluster.getClass() : JedisCluster.class);
}
@Override
public boolean isSingleton() {
return true;
}
private Set<HostAndPort> parseHostAndPort() throws Exception {
try {
Properties prop = new Properties();
prop.load(this.addressConfig.getInputStream());
Set<HostAndPort> haps = new HashSet<HostAndPort>();
for (Object key : prop.keySet()) {
if (!((String) key).startsWith(addressKeyPrefix)) {
continue;
}
String val = (String) prop.get(key);
boolean isIpPort = p.matcher(val).matches();
if (!isIpPort) {
throw new IllegalArgumentException("ip 或 port 不合法");
}
String[] ipAndPort = val.split(":");
HostAndPort hap = new HostAndPort(ipAndPort[0], Integer.parseInt(ipAndPort[1]));
haps.add(hap);
}
return haps;
} catch (IllegalArgumentException ex) {
throw ex;
} catch (Exception ex) {
throw new Exception("解析 jedis 配置文件失败", ex);
}
}
@Override
public void afterPropertiesSet() throws Exception {
Set<HostAndPort> haps = this.parseHostAndPort();
jedisCluster = new JedisCluster(haps, timeout, maxRedirections,genericObjectPoolConfig);
// jedisCluster = new JedisCluster(haps, timeout, genericObjectPoolConfig);
}
public void setAddressConfig(Resource addressConfig) {
this.addressConfig = addressConfig;
}
public void setTimeout(int timeout) {
this.timeout = timeout;
}
public void setMaxRedirections(int maxRedirections) {
this.maxRedirections = maxRedirections;
}
public void setAddressKeyPrefix(String addressKeyPrefix) {
this.addressKeyPrefix = addressKeyPrefix;
}
public void setGenericObjectPoolConfig(GenericObjectPoolConfig genericObjectPoolConfig) {
this.genericObjectPoolConfig = genericObjectPoolConfig;
}
}
引用
2.RedisTemplate
以集群方式使用连接池，来使用模板进行数据操作，key与value自动序列化存储。
spring.xml
<bean id="jedisPoolConfig" class="redis.clients.jedis.JedisPoolConfig">
<property name="maxTotal" value="${redis.maxTotal}" />
<property name="maxIdle" value="${redis.maxIdle}" />
<property name="maxWaitMillis" value="${redis.maxWaitMillis}" />
<property name="testOnBorrow" value="${redis.testOnBorrow}" />
<property name="testOnReturn" value="${redis.testOnReturn}" />
</bean>
<!-- <bean id="redisNode" class="org.springframework.data.redis.connection.RedisNode">
<property name=""></property>
</bean> -->
<bean id="redisClusterConfig" class="org.springframework.data.redis.connection.RedisClusterConfiguration">
<property name="maxRedirects" value="3" />
<property name="clusterNodes">
<set>
<!-- <ref bean="redisNode" /> -->
<bean class="org.springframework.data.redis.connection.RedisNode">
<constructor-arg name="host" value="192.168.71.188"></constructor-arg>
<constructor-arg name="port" value="7380"></constructor-arg>
</bean>
<!-- <bean class="org.springframework.data.redis.connection.RedisNode">
<constructor-arg name="host" value="192.168.71.188"></constructor-arg>
<constructor-arg name="port" value="6381"></constructor-arg>
</bean>
<bean class="org.springframework.data.redis.connection.RedisNode">
<constructor-arg name="host" value="192.168.71.188"></constructor-arg>
<constructor-arg name="port" value="6382"></constructor-arg>
</bean> -->
</set>
</property>
</bean>
<bean id="redis4CacheConnectionFactory"
class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory">
<constructor-arg name="clusterConfig" ref="redisClusterConfig" />
<property name="hostName" value="${redis.host}"/>
<property name="port" value="${redis.port}"/>
<property name="timeout" value="${redis.timeout}" />
<property name="poolConfig" ref="jedisPoolConfig"/>
</bean>
<bean id="stringRedisSerializer" class="org.springframework.data.redis.serializer.StringRedisSerializer" />
<bean id="redis4CacheTemplate" class="org.springframework.data.redis.core.RedisTemplate">
<property name="connectionFactory" ref="redis4CacheConnectionFactory" />
<!-- <property name="keySerializer">
<bean class="org.springframework.data.redis.serializer.StringRedisSerializer" />
</property> -->
<property name="keySerializer" ref="stringRedisSerializer" />
<property name="hashKeySerializer" ref="stringRedisSerializer" />
<property name="valueSerializer" ref="stringRedisSerializer" />
<property name="hashValueSerializer" ref="stringRedisSerializer" />
</bean>
引用
spring-data-redis提供了多种serializer策略，这对使用jedis的开发者而言，实在是非常便捷。sdr提供了4种内置的serializer：
JdkSerializationRedisSerializer：使用JDK的序列化手段(serializable接口，ObjectInputStrean，ObjectOutputStream)，数据以字节流存储
StringRedisSerializer：字符串编码，数据以string存储
JacksonJsonRedisSerializer：json格式存储
OxmSerializer：xml格式存储
其中JdkSerializationRedisSerializer和StringRedisSerializer是最基础的序列化策略，其中“JacksonJsonRedisSerializer”与“OxmSerializer”都是基于stirng存储，因此它们是较为“高级”的序列化(最终还是使用string解析以及构建java对象)。
RedisTemplate中需要声明4种serializer，默认为“JdkSerializationRedisSerializer”：
1) keySerializer ：对于普通K-V操作时，key采取的序列化策略
2) valueSerializer：value采取的序列化策略
3) hashKeySerializer： 在hash数据结构中，hash-key的序列化策略
4) hashValueSerializer：hash-value的序列化策略
无论如何，建议key/hashKey采用StringRedisSerializer。
http://www.360doc.com/content/15/0513/21/1073512_470277654.shtml
JdkSerializationRedisSerializer：使用JDK的序列化手段(serializable接口，ObjectInputStrean，ObjectOutputStream)，数据以字节流存储
StringRedisSerializer：字符串编码，数据以string存储
JacksonJsonRedisSerializer：json格式存储
OxmSerializer：xml格式存储
其中JdkSerializationRedisSerializer和StringRedisSerializer是最基础的序列化策略，其中“JacksonJsonRedisSerializer”与“OxmSerializer”都是基于stirng存储，因此它们是较为“高级”的序列化(最终还是使用string解析以及构建java对象)。
RedisTemplate中需要声明4种serializer，默认为“JdkSerializationRedisSerializer”：
1) keySerializer ：对于普通K-V操作时，key采取的序列化策略
2) valueSerializer：value采取的序列化策略
3) hashKeySerializer： 在hash数据结构中，hash-key的序列化策略
4) hashValueSerializer：hash-value的序列化策略
无论如何，建议key/hashKey采用StringRedisSerializer。
http://www.360doc.com/content/15/0513/21/1073512_470277654.shtml
3. 测试代码
@Service
public class TestService {
@Resource
private JedisCluster redisConnectionFactory;
//
@Resource
private RedisTemplate redis4CacheTemplate;
public void test() {
System.out.println(redisConnectionFactory.get("t1"));
System.out.println(redisConnectionFactory.get("aa"));
System.out.println(redisConnectionFactory.get("cc"));
System.out.println("----------------");
redis4CacheTemplate.opsForValue().set("aa", "300人");
redis4CacheTemplate.opsForValue().set("cc", "AA1");
redis4CacheTemplate.opsForValue().set("t4", "BB");
System.out.println(redis4CacheTemplate.opsForValue().get("aa"));
System.out.println(redis4CacheTemplate.opsForValue().get("cc"));
System.out.println(redis4CacheTemplate.opsForValue().get("t44"));
}
}
import org.junit.Test;
import org.junit.runner.RunWith;
import org.junit.runners.BlockJUnit4ClassRunner;
import com.sinowel.eacpa.BaseTest;
import com.sinowel.eacpa.test.service.TestService;
@RunWith(BlockJUnit4ClassRunner.class)
public class TestDemo extends BaseTest{
public TestDemo() {
super("classpath:spring/spring.xml");
}
@Test //测试构造注入
public void testCons() {
TestService service = super.getBean("testService");
service.test();
System.out.println("success");
}
}
控制台输出：
100 300人 AA1 ---------------- 300人 AA1 null