search
HomeDatabaseRedisHow Spring-data-redis integrates redis

How Spring-data-redis integrates redis

Apr 17, 2020 am 09:06 AM
redis

How Spring-data-redis integrates redis

Spring-data-redis is part of the spring family. It provides access to redis services through simple configuration in srping applications, and supports reids underlying development packages (Jedis, JRedis, and RJC ) is highly encapsulated.

1. Install redis service

1. Download and install the redis service. After the installation is completed, the redis service will be automatically started.

sudo apt-get install redis-server

2. After the download is completed, we can check it through the command redis service process

ps -aux|grep redis

The result is as shown below:

How Spring-data-redis integrates redis

3. You can also check the status of the Redis service

netstat -nlt|grep 6379

#结果如下:
# tcp 0 0 127.0.0.1:6379 0.0.0.0:* LISTEN

4. Pass Command to check redis service status

sudo /etc/init.d/redis-server status
# 结果如下:redis-server is running

2. Configure redis

# 编辑redis配置文件
sudo vim /etc/redis/redis.conf

# 在vim中设置redis访问密码
requirepass 123456

# 在vim中注释bind,设置允许远程访问,redis默认只允许本机访问
#bind 127.0.0.1

# 重启redis服务
sudo /etc/init.d/redis-server restart

# 客户端访问redis服务
sudo redis-cli

# 客户端登录并访问redis服务
sudo redis-cli -a youpassword

# 远程客户端登录并访问redis服务
sudo redis-cli -a youpassword -h 192.168.1.22

3. Write java code

1. Cache interface definition

public interface Cache {

    /**
     * 添加
     * @param key
     * @param value
     */
    void put(Object key, Object value);
    
    /**
     * 得到key的值
     * @param key
     * @return
     */
    Object get(Object key);

    /**
     * 移除key
     * @param key
     * @return
     */
    Object remove(Object key);

}

2. Cache interface Implementation

import org.springframework.dao.DataAccessException;
import org.springframework.data.redis.connection.RedisConnection;
import org.springframework.data.redis.connection.RedisListCommands;
import org.springframework.data.redis.connection.RedisStringCommands;
import org.springframework.data.redis.connection.RedisZSetCommands;
import org.springframework.data.redis.connection.jedis.JedisConverters;
import org.springframework.data.redis.core.Cursor;
import org.springframework.data.redis.core.RedisCallback;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.ScanOptions;
import org.springframework.data.redis.core.types.Expiration;
import org.springframework.data.redis.serializer.RedisSerializer;
import redis.clients.jedis.Jedis;

public class DefaultRedisCache implements Cache {

    private final static Logger logger = LoggerFactory.getLogger(DefaultRedisCache.class);

    private RedisTemplate redisTemplate;

    //秒
    private final static Long DEFAULT_EXPIRE = 12 * 60 * 60L;

    public DefaultRedisCache(RedisTemplate redisTemplate) {
        this.redisTemplate = redisTemplate;
    }

    @Override
    public void put(final Object key, final Object value) {
        put(key, value, DEFAULT_EXPIRE);
    }

    @Override
    public Object get(final Object key) {
        return redisTemplate.execute(new RedisCallback() {
            @Override
            public Object doInRedis(RedisConnection connection) throws DataAccessException {

                RedisSerializer<Object> serializer = getRedisSerializer();

                byte[] keyByte = serializer.serialize(key);
                if(keyByte == null){
                    return null;
                }
                byte[] bytes = connection.get(keyByte);

                if (bytes == null) {
                    return null;
                }

                return serializer.deserialize(bytes);
            }
        });
    }

    @Override
    public Object remove(final Object key) {
        return redisTemplate.execute(new RedisCallback() {
            @Override
            public Object doInRedis(RedisConnection connection) throws DataAccessException {

                RedisSerializer<Object> serializer = getRedisSerializer();

                if (key == null) {
                    return null;
                }

                byte[] bytes = serializer.serialize(key);

                return connection.del(bytes);
            }
        });
    }

3. Configure applicationContext-cache-test.xml file

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

    <context:property-placeholder location="classpath:redis-config.properties" ignore-unresolvable="true"/>

    <!-- jedis pool配置 -->
    <bean id="jedisPoolConfig" class="redis.clients.jedis.JedisPoolConfig">
        <property name="maxTotal" value="${commons.cache.redis.maxTotal}" />
        <property name="maxIdle" value="${commons.cache.redis.maxIdle}" />
        <property name="maxWaitMillis" value="${commons.cache.redis.maxWait}" />
        <property name="testOnBorrow" value="${commons.cache.redis.testOnBorrow}" />
        <property name="testOnReturn" value="${commons.cache.redis.testOnReturn}" />
    </bean>

    <!-- spring data redis -->
    <bean id="jedisConnectionFactory" class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory">
        <property name="usePool" value="true"></property>
        <property name="hostName" value="${commons.cache.redis.host}" />
        <property name="port" value="${commons.cache.redis.port}" />
        <property name="password" value="${commons.cache.redis.password}" />
        <property name="timeout" value="${commons.cache.redis.timeout}" />
        <!--<property name="database" value="${commons.cache.redis.default.db}"></property>-->
        <property name="poolConfig" ref="jedisPoolConfig" />
    </bean>

    <bean id="redisTemplate" class="org.springframework.data.redis.core.StringRedisTemplate">
        <property name="connectionFactory" ref="jedisConnectionFactory" />
    </bean>
    
    <!-- 自定义缓存工厂接口 -->
    <bean id="cacheFactory" class="com.xxx.cache.factory.CacheFactory"  p:redisTemplate-ref="redisTemplate"/>
</beans>

4. Configure redis-config.properties file

# jedis pool配置
commons.cache.redis.maxTotal=1000
commons.cache.redis.maxIdle=600
commons.cache.redis.maxWait=1000
commons.cache.redis.testOnBorrow=true
commons.cache.redis.testOnReturn=true

# spring data redis 配置
commons.cache.redis.host=192.168.1.230
commons.cache.redis.port=6379
commons.cache.redis.password=123456
commons.cache.redis.timeout=1000

5. Test

@ContextConfiguration(locations = {
        "classpath:applicationContext-cache-test.xml"
})
@RunWith(SpringJUnit4ClassRunner.class)
public class CacheTest extends BaseTest{

    @Autowired
    private Cache cache;

    @Test
    public void redisTest() {

        // 添加key为username的值到redis缓存里
        cache.put("username","nathan");

        // 获取值
        Object username = cache.get("username");
        System.out.println("cache.get = " + username);

        // 删除值
//        cache.remove("username");
//        Object delResult = cache.get("username");
//        System.out.println("cache.remove = " + delResult);
    }

}

For more redis knowledge, please pay attention to the redis introductory tutorial column.

The above is the detailed content of How Spring-data-redis integrates redis. For more information, please follow other related articles on the PHP Chinese website!

Statement
This article is reproduced at:OSCHINA. If there is any infringement, please contact admin@php.cn delete
Redis's Role: Exploring the Data Storage and Management CapabilitiesRedis's Role: Exploring the Data Storage and Management CapabilitiesApr 22, 2025 am 12:10 AM

Redis plays a key role in data storage and management, and has become the core of modern applications through its multiple data structures and persistence mechanisms. 1) Redis supports data structures such as strings, lists, collections, ordered collections and hash tables, and is suitable for cache and complex business logic. 2) Through two persistence methods, RDB and AOF, Redis ensures reliable storage and rapid recovery of data.

Redis: Understanding NoSQL ConceptsRedis: Understanding NoSQL ConceptsApr 21, 2025 am 12:04 AM

Redis is a NoSQL database suitable for efficient storage and access of large-scale data. 1.Redis is an open source memory data structure storage system that supports multiple data structures. 2. It provides extremely fast read and write speeds, suitable for caching, session management, etc. 3.Redis supports persistence and ensures data security through RDB and AOF. 4. Usage examples include basic key-value pair operations and advanced collection deduplication functions. 5. Common errors include connection problems, data type mismatch and memory overflow, so you need to pay attention to debugging. 6. Performance optimization suggestions include selecting the appropriate data structure and setting up memory elimination strategies.

Redis: Real-World Use Cases and ExamplesRedis: Real-World Use Cases and ExamplesApr 20, 2025 am 12:06 AM

The applications of Redis in the real world include: 1. As a cache system, accelerate database query, 2. To store the session data of web applications, 3. To implement real-time rankings, 4. To simplify message delivery as a message queue. Redis's versatility and high performance make it shine in these scenarios.

Redis: Exploring Its Features and FunctionalityRedis: Exploring Its Features and FunctionalityApr 19, 2025 am 12:04 AM

Redis stands out because of its high speed, versatility and rich data structure. 1) Redis supports data structures such as strings, lists, collections, hashs and ordered collections. 2) It stores data through memory and supports RDB and AOF persistence. 3) Starting from Redis 6.0, multi-threaded I/O operations have been introduced, which has improved performance in high concurrency scenarios.

Is Redis a SQL or NoSQL Database? The Answer ExplainedIs Redis a SQL or NoSQL Database? The Answer ExplainedApr 18, 2025 am 12:11 AM

RedisisclassifiedasaNoSQLdatabasebecauseitusesakey-valuedatamodelinsteadofthetraditionalrelationaldatabasemodel.Itoffersspeedandflexibility,makingitidealforreal-timeapplicationsandcaching,butitmaynotbesuitableforscenariosrequiringstrictdataintegrityo

Redis: Improving Application Performance and ScalabilityRedis: Improving Application Performance and ScalabilityApr 17, 2025 am 12:16 AM

Redis improves application performance and scalability by caching data, implementing distributed locking and data persistence. 1) Cache data: Use Redis to cache frequently accessed data to improve data access speed. 2) Distributed lock: Use Redis to implement distributed locks to ensure the security of operation in a distributed environment. 3) Data persistence: Ensure data security through RDB and AOF mechanisms to prevent data loss.

Redis: Exploring Its Data Model and StructureRedis: Exploring Its Data Model and StructureApr 16, 2025 am 12:09 AM

Redis's data model and structure include five main types: 1. String: used to store text or binary data, and supports atomic operations. 2. List: Ordered elements collection, suitable for queues and stacks. 3. Set: Unordered unique elements set, supporting set operation. 4. Ordered Set (SortedSet): A unique set of elements with scores, suitable for rankings. 5. Hash table (Hash): a collection of key-value pairs, suitable for storing objects.

Redis: Classifying Its Database ApproachRedis: Classifying Its Database ApproachApr 15, 2025 am 12:06 AM

Redis's database methods include in-memory databases and key-value storage. 1) Redis stores data in memory, and reads and writes fast. 2) It uses key-value pairs to store data, supports complex data structures such as lists, collections, hash tables and ordered collections, suitable for caches and NoSQL databases.

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Atom editor mac version download

Atom editor mac version download

The most popular open source editor

SublimeText3 Linux new version

SublimeText3 Linux new version

SublimeText3 Linux latest version

mPDF

mPDF

mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

SecLists

SecLists

SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.