Spring-Data-Redis 入门学习

Spring-Data-Redis 入门学习

参考文章:

https://www.jianshu.com/p/4a9c2fec1079

  1. 导入 redis 相关依赖
<dependency>
    <groupId>redis.clients</groupId>
    <artifactId>jedis</artifactId>
    <version>2.8.1</version>
</dependency>
<dependency>
    <groupId>org.springframework.data</groupId>
    <artifactId>spring-data-redis</artifactId>
    <version>1.7.2.RELEASE</version>
</dependency>
  1. 配置3个 bean ,连接池配置类 连接工厂类 模板类

JedisPoolConfig JedisConnectionFactory RedisTemplate RedisSerializer

  1. 提供 redis.properties 文件 (可选)

​ 将 redis 的相关参数从 spring 配置文件中挪到 redis.properties 文件中。

spring 配置

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
       xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
       xsi:schemaLocation="
        http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd
        ">

    <!-- 配置连接池 -->
    <bean id="jedisPoolConfig" class="redis.clients.jedis.JedisPoolConfig">
        <property name="maxTotal" value="10"></property>
        <property name="maxIdle" value="10"></property>
        <property name="minIdle" value="2"></property>
        <property name="maxWaitMillis" value="15000"></property>
        <property name="minEvictableIdleTimeMillis" value="300000"></property>
        <property name="numTestsPerEvictionRun" value="3"></property>
        <property name="timeBetweenEvictionRunsMillis" value="60000"></property>
        <property name="testOnBorrow" value="true"></property>
        <property name="testOnReturn" value="true"></property>
        <property name="testWhileIdle" value="true"></property>
    </bean>

    <!-- 连接工厂 -->
    <bean id="jedisConnFactory" class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory">
        <property name="hostName" value="127.0.0.1"/>
        <property name="port" value="6379"/>
        <!--<property name="password" value="123456"/>-->
        <property name="usePool" value="true"/>
        <property name="poolConfig" ref="jedisPoolConfig"/>
    </bean>

    <!-- 用于数据交互 -->
    <bean id="redisTemplate" class="org.springframework.data.redis.core.RedisTemplate">
        <property name="connectionFactory" ref="jedisConnFactory"/>
    </bean>
</beans>
<bean id="redisTemplate" class="org.springframework.data.redis.core.RedisTemplate">
    <property name="connectionFactory" ref="jedisConnectionFactory"/>

    <!-- 序列化策略 推荐使用StringRedisSerializer -->
    <property name="keySerializer">
        <bean class="org.springframework.data.redis.serializer.StringRedisSerializer"/>
    </property>
    <property name="valueSerializer">
        <bean class="org.springframework.data.redis.serializer.StringRedisSerializer"/>
    </property>
    <property name="hashKeySerializer">
        <bean class="org.springframework.data.redis.serializer.JdkSerializationRedisSerializer"/>
    </property>
    <property name="hashValueSerializer">
        <bean class="org.springframework.data.redis.serializer.JdkSerializationRedisSerializer"/>
    </property>
</bean>
SDR序列化方式有多种,如:StringRedisSerializer JdkSerializationRedisSerializer Jackson2JsonRedisSerializer OxmSerializer等等

pom 文件

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <groupId>com.mozq.redis</groupId>
    <artifactId>spring-redis-demo</artifactId>
    <version>1.0-SNAPSHOT</version>

    <properties>
        <spring.version>5.0.2.RELEASE</spring.version>
    </properties>

    <dependencies>
        <!-- spring -->
        <dependency>
            <groupId>org.springframework</groupId>
            <artifactId>spring-context</artifactId>
            <version>${spring.version}</version>
        </dependency>

        <!-- redis 相关 -->
        <dependency>
            <groupId>redis.clients</groupId>
            <artifactId>jedis</artifactId>
            <version>2.8.1</version>
        </dependency>
        <dependency>
            <groupId>org.springframework.data</groupId>
            <artifactId>spring-data-redis</artifactId>
            <version>1.7.2.RELEASE</version>
        </dependency>

        <!-- 测试相关 -->
        <dependency>
            <groupId>junit</groupId>
            <artifactId>junit</artifactId>
            <version>4.12</version>
        </dependency>
        <dependency>
            <groupId>org.springframework</groupId>
            <artifactId>spring-test</artifactId>
            <version>${spring.version}</version>
        </dependency>
    </dependencies>

</project>

hash 结构测试类 存储简单值

package com.mozq.redis;

import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.BoundHashOperations;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.test.context.ContextConfiguration;
import org.springframework.test.context.junit4.SpringJUnit4ClassRunner;

import java.util.List;
import java.util.Map;
import java.util.Set;

//hash结构,即 map 的测试。
@RunWith(SpringJUnit4ClassRunner.class)
@ContextConfiguration("classpath:spring-redis.xml")
public class HashTest {

    @Autowired
    private RedisTemplate redisTemplate;

    @Test
    public void testSetEntry(){
        BoundHashOperations book = redisTemplate.boundHashOps("book");
        book.put("b1", "仙逆");
        book.put("b2", "凡人修仙传");
    }

    @Test
    public void testGetEntryKeys(){
        Set book = redisTemplate.boundHashOps("book").keys();
        System.out.println(book);
    }

    @Test
    public void testGetEntryValues(){
        List book = redisTemplate.boundHashOps("book").values();
        System.out.println(book);
    }

    @Test
    public void testGetEntries(){
        Map book = redisTemplate.boundHashOps("book").entries();
        System.out.println(book);
    }

    @Test
    public void testGetEntryValueByEntryKey(){
        String book1 = (String) redisTemplate.boundHashOps("book").get("b1");
        System.out.println(book1);
    }

    @Test
    public void testRemoveEntry(){
        Long row = redisTemplate.boundHashOps("book").delete("b1");
        System.out.println(row);
    }

    @Test
    public void testRemoveKey(){
        redisTemplate.delete("book");
    }
}

hash 结构

EntryValue = List<Map>

@Test
public void testSetEntry(){
    BoundHashOperations users = redisTemplate.boundHashOps("users");
    //用户列表
    List<Map> userList = new ArrayList<>();
    //创建用户
    Map map1 = new HashMap();
    map1.put("name", "刘备");
    map1.put("age", 22);
    Map map2 = new HashMap();
    map2.put("name", "刘备2");
    map2.put("age", 23);
	//添加用户到列表
    userList.add(map1);
    userList.add(map2);

    users.put("userList", userList);
}

@Test
public void testGetEntryValueByEntryKey(){
    List<Map> userList = (List<Map>) redisTemplate.boundHashOps("users").get("userList");
    System.out.println(userList);//[{name=刘备, age=22}, {name=刘备2, age=23}]
}
String 类型

RedisSerializer<T> 将一个对象序列化字节数组,存入 redis 。将 redis 得到的字节数组反序列化成对象。

public interface RedisSerializer<T> {
	byte[] serialize(T t) throws SerializationException;
	T deserialize(byte[] bytes) throws SerializationException;
}
@Test
public void addObj(){
    User user = new User();
    user.setName("刘备");
    user.setAge(20);
    redisTemplate.boundValueOps("moStr").set(user);
}//java.lang.ClassCastException: com.mozq.domain.User cannot be cast to java.lang.String


@Test
public void addObj(){
    User user = new User();
    user.setName("刘备");
    user.setAge(20);
    redisTemplate.boundValueOps(user).set("孙权");
}//java.lang.ClassCastException: com.mozq.domain.User cannot be cast to java.lang.String
@Test
public void testStrCR(){
    redisTemplate.boundValueOps("用户名").set("刘备");
    String username = (String) redisTemplate.boundValueOps("用户名").get();
    System.out.println(username);//刘备
}

@Test
public void testStrD(){
    redisTemplate.delete("用户名");
}

127.0.0.1:6379> keys *
1) "\xe7\x94\xa8\xe6\x88\xb7\xe5\x90\x8d" UTF-8 用户名
2) "\xd3\xc3\xbb\xa7\xc3\xfb" GBK 用户名
127.0.0.1:6379> get "\xd3\xc3\xbb\xa7\xc3\xfb" GBK 用户名
"\xe5\x88\x98\xe5\xa4\x87" UTF-8 刘备
127.0.0.1:6379> get "\xe7\x94\xa8\xe6\x88\xb7\xe5\x90\x8d"  UTF-8 用户名
"\xe5\x88\x98\xe5\xa4\x87" UTF-8 刘备

/*
	可见 redis 命令行打印就是字节数组的16进制形式。中文字符串 + 编码 = 字节数组。客户端发送给 redis 的是字节数组。
*/
@Test
public void x3() throws UnsupportedEncodingException {
    byte[] bytesUTF8 = "用户名".getBytes("UTF-8");
    System.out.println(bytesToHexString(bytesUTF8));//e794a8e688b7e5908d
    byte[] bytesGBK = "用户名".getBytes("GBK");
    System.out.println(bytesToHexString(bytesGBK));//d3c3bba7c3fb
    byte[] bytes= "刘备".getBytes("UTF-8");
    System.out.println(bytesToHexString(bytes));//e58898e5a487
}

常用字节转换(字符串转16进制,16进制转字符串)https://blog.csdn.net/yyz_1987/article/details/80634224

package org.springframework.data.redis.serializer;

public class StringRedisSerializer implements RedisSerializer<String> {

	private final Charset charset;

	public StringRedisSerializer() {
		this(Charset.forName("UTF8"));
	}

	public StringRedisSerializer(Charset charset) {
		Assert.notNull(charset);
		this.charset = charset;
	}

	public String deserialize(byte[] bytes) {
		return (bytes == null ? null : new String(bytes, charset));
	}

	public byte[] serialize(String string) {
		return (string == null ? null : string.getBytes(charset));
	}
}

redisTemplate 键值的序列化策略

<!-- 配置RedisTemplate -->
<bean id="redisTemplate" class="org.springframework.data.redis.core.RedisTemplate">
    <property name="connectionFactory" ref="jedisConnectionFactory"/>

    <!-- 序列化策略 推荐使用StringRedisSerializer ,可以通过构造参数指定字符集,默认为 UTF-8 -->
    <property name="keySerializer">
        <bean class="org.springframework.data.redis.serializer.StringRedisSerializer">
            <constructor-arg ref="gbkCharSet" />
        </bean>
    </property>
    <property name="valueSerializer">
        <bean class="org.springframework.data.redis.serializer.StringRedisSerializer"/>
    </property>

    <property name="hashKeySerializer">
        <bean class="org.springframework.data.redis.serializer.JdkSerializationRedisSerializer"/>
    </property>
    <property name="hashValueSerializer">
        <bean class="org.springframework.data.redis.serializer.JdkSerializationRedisSerializer"/>
    </property>
</bean>
package com.mozq.charset;

import org.springframework.context.annotation.Bean;
import org.springframework.stereotype.Component;

import java.nio.charset.Charset;

//@Component
@Configuration
public class CharSetUtil {

    @Bean("gbkCharSet")
    public Charset gbkCharSet(){
        return Charset.forName("GBK");
    }

}

通用操作

// redisTemplate 删除全部的键
@Test
public void deleteAll(){
    Set keys = redisTemplate.keys("*");
    redisTemplate.delete(keys);
    
    System.out.println(keys);
    System.out.println(keys.size());
}

// redis 删除全部键 Redis Flushall 命令用于清空整个 Redis 服务器的数据 ( 删除所有数据库的所有 key )。
127.0.0.1:6379> flushall
OK
实战 hash 的 EntryValue 的值为 List<Map>

hash 结构 EntryValue = List<Map>

存入
@Service
public class TypeTemplateServiceImpl implements TypeTemplateService {

    @Autowired
    private TbTypeTemplateMapper typeTemplateMapper;

    @Autowired
    private RedisTemplate redisTemplate;

    @Autowired
    private TbSpecificationOptionMapper specificationOptionMapper;

	private void saveToRedis(){
		List<TbTypeTemplate> typeTemplateList = typeTemplateMapper.selectByExample(null);
		for (TbTypeTemplate typeTemplate : typeTemplateList) {
			//缓存品牌列表
			List<Map> brandList = JSON.parseArray(typeTemplate.getBrandIds(), Map.class);
			redisTemplate.boundHashOps("searchBrandList").put(typeTemplate.getId(), brandList);
			//缓存规格列表
			List<Map> specList = findSpecList(typeTemplate.getId());
			redisTemplate.boundHashOps("searchSpecList").put(typeTemplate.getId(), specList);
		}
		System.out.println("缓存品牌和规格列表");
	}
}
取出
private Map searchBrandAndSpecList(String categoryName){
    HashMap map = new HashMap();
    Long typeId = (Long) redisTemplate.boundHashOps("searchCategoryList").get(categoryName);
    if(typeId != null){
        //品牌列表
        List<Map> brandList = (List<Map>) redisTemplate.boundHashOps("searchBrandList").get(typeId);
        //规格列表
        List<Map> specList = (List<Map>) redisTemplate.boundHashOps("searchSpecList").get(typeId);

        map.put("brandList", brandList);
        map.put("specList", specList);
    }
    return map;
}

问题 插入 redis 的键,不是程序中设置的键。

redisTemplate模板类在操作 redis 会使用默认的 jdk 方式序列化。我们要手动配置序列化方式为:StringRedisSerializer

127.0.0.1:6379> keys *
1) "categoryList"
2) "heima01"
3) "hema01"
4) "\xac\xed\x00\x05t\x00\bhashkey1"
5) "user"
127.0.0.1:6379> keys *
1) "categoryList"
2) "heima01"
3) "hema01"
4) "book" // 已经好了
5) "\xac\xed\x00\x05t\x00\bhashkey1"
6) "user"
<bean id="redisTemplate" class="org.springframework.data.redis.core.RedisTemplate">
    <property name="connectionFactory" ref="jedisConnectionFactory"/>

    <!-- 序列化策略 推荐使用StringRedisSerializer -->
    <property name="keySerializer">
        <bean class="org.springframework.data.redis.serializer.StringRedisSerializer"/>
    </property>
    <property name="valueSerializer">
        <bean class="org.springframework.data.redis.serializer.StringRedisSerializer"/>
    </property>
    <property name="hashKeySerializer">
        <bean class="org.springframework.data.redis.serializer.JdkSerializationRedisSerializer"/>
    </property>
    <property name="hashValueSerializer">
        <bean class="org.springframework.data.redis.serializer.JdkSerializationRedisSerializer"/>
    </property>
</bean>
# 如果存储的 value 是对象,则必须实现序列化。
org.springframework.data.redis.serializer.SerializationException: Cannot serialize; nested exception is org.springframework.core.serializer.support.SerializationFailedException: Failed to serialize object using DefaultSerializer; nested exception is java.io.NotSerializableException: com.mozq.domain.User
nested exception is redis.clients.jedis.exceptions.JedisDataException: WRONGTYPE Operation against a key holding the wrong kind of value
原因:
	造成这个问题,肯定是程序在多处使用了同一个 key ,并且是以不同的类型,有的以 key-value 类型,有的以 key-map ,有的以 key-object 。我这里 categoryList 被多次使用分别以不同的数据结构存储,报错。
# 因为验证失败,获取不到 redis 连接
redis.clients.jedis.exceptions.JedisException: Could not get a resource from the pool
Caused by: java.util.NoSuchElementException: Unable to validate object
java.lang.IllegalArgumentException: non null hash key required
原因:
	代码逻辑错误,导致 categoryName 变量的值为 null 。报错。	
redisTemplate.boundHashOps("searchCategoryList").get(categoryName);
/*
	searchMap.get("category") 的值为 null 时,会进入 if ,而实际的逻辑应该进入 else 
*/
if(!"".equals(searchMap.get("category"))){
    //搜索条件有分类,直接使用这个分类查品牌和规格
    resultMap.putAll(searchBrandAndSpecList((String) searchMap.get("category")));
}else{
    if(categoryList.size() > 0){
        resultMap.putAll(searchBrandAndSpecList(categoryList.get(0)));
    }
}
posted @ 2019-08-06 09:00  没有理由不会呀  阅读(502)  评论(0编辑  收藏  举报