我正在使用Spring Data Redis和Jedis。我正在尝试使用密钥vc:${list_id}
存储哈希。我能够成功插入redis。但是,当我使用redis-cli检查密钥时,我看不到密钥vc:501381
。相反,我看到\xac\xed\x00\x05t\x00\tvc:501381
。
为什么会发生这种情况?如何更改?
答案 0 :(得分:68)
好的,谷歌搜索了一会儿,并在http://java.dzone.com/articles/spring-data-redis找到了帮助。
这是因为Java序列化。
redisTemplate的密钥序列化程序需要配置为StringRedisSerializer
,如下所示:
<bean
id="jedisConnectionFactory"
class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory"
p:host-name="${redis.server}"
p:port="${redis.port}"
p:use-pool="true"/>
<bean
id="stringRedisSerializer"
class="org.springframework.data.redis.serializer.StringRedisSerializer"/>
<bean
id="redisTemplate"
class="org.springframework.data.redis.core.RedisTemplate"
p:connection-factory-ref="jedisConnectionFactory"
p:keySerializer-ref="stringRedisSerializer"
p:hashKeySerializer-ref="stringRedisSerializer"
/>
现在,redis中的密钥为vc:501381
。
或者像@niconic说的那样,我们也可以将默认的序列化程序本身设置为字符串序列化程序,如下所示:
<bean
id="redisTemplate"
class="org.springframework.data.redis.core.RedisTemplate"
p:connection-factory-ref="jedisConnectionFactory"
p:defaultSerializer-ref="stringRedisSerializer"
/>
表示我们所有的键和值都是字符串。但请注意,这可能不是更好,因为您可能希望您的值不仅仅是字符串。
如果您的值是域对象,那么您可以使用Jackson序列化程序并按照here配置序列化程序,例如:
<bean id="userJsonRedisSerializer" class="org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer">
<constructor-arg type="java.lang.Class" value="com.mycompany.redis.domain.User"/>
</bean>
并将模板配置为:
<bean
id="redisTemplate"
class="org.springframework.data.redis.core.RedisTemplate"
p:connection-factory-ref="jedisConnectionFactory"
p:keySerializer-ref="stringRedisSerializer"
p:hashKeySerializer-ref="stringRedisSerializer"
p:valueSerialier-ref="userJsonRedisSerializer"
/>
答案 1 :(得分:6)
使用StringRedisTemplate
替换RedisTemplate
。
默认情况下,RedisTemplate
使用Java序列化,StringRedisTemplate
使用StringRedisSerializer
。
<bean id="stringRedisTemplate" class="org.springframework.data.redis.core.StringRedisTemplate">
<property name="connectionFactory" ref="jedisConnectionFactory" />
</bean>
答案 2 :(得分:6)
我知道这个问题已经有一段时间了,但我最近又对这个话题进行了一些研究,所以我想分享一下这个“半散列”密钥是如何通过这里的部分Spring源代码生成的。
首先,Spring利用AOP来解析注释,例如@Cacheable, @CacheEvict or @CachePut
等。来自Spring-context依赖的advice类是CacheInterceptor
,它是CacheAspectSupport
的子类(也来自Spring) -context)。为了便于解释,我将以@Cacheable
为例通过此处的部分源代码。
当调用注释为@Cacheable
的方法时,AOP会将其从protected Collection<? extends Cache> getCaches(CacheOperationInvocationContext<CacheOperation> context, CacheResolver cacheResolver)
类路由到此方法CacheAspectSupport
,在该类中,它会尝试解析此@Cacheable
注释。反过来,它导致在实现CacheManager中调用此方法public Cache getCache(String name)
。对于此解释,实现CacheManage将为RedisCacheManager
(来自Spring-data-redis依赖)。
如果没有点击缓存,它将继续创建缓存。以下是RedisCacheManager
的主要方法:
protected Cache getMissingCache(String name) {
return this.dynamic ? createCache(name) : null;
}
@SuppressWarnings("unchecked")
protected RedisCache createCache(String cacheName) {
long expiration = computeExpiration(cacheName);
return new RedisCache(cacheName, (usePrefix ? cachePrefix.prefix(cacheName) : null), redisOperations, expiration,
cacheNullValues);
}
基本上,它将实例化一个RedisCache
对象。要做到这一点,它需要4个参数,即cacheName,前缀(这是回答此问题的关键参数),redisOperation(又名,配置的redisTemplate),到期(默认为0)和cacheNullValues(默认为false)。下面的构造函数显示了有关RedisCache的更多详细信息。
/**
* Constructs a new {@link RedisCache} instance.
*
* @param name cache name
* @param prefix must not be {@literal null} or empty.
* @param redisOperations
* @param expiration
* @param allowNullValues
* @since 1.8
*/
public RedisCache(String name, byte[] prefix, RedisOperations<? extends Object, ? extends Object> redisOperations,
long expiration, boolean allowNullValues) {
super(allowNullValues);
Assert.hasText(name, "CacheName must not be null or empty!");
RedisSerializer<?> serializer = redisOperations.getValueSerializer() != null ? redisOperations.getValueSerializer()
: (RedisSerializer<?>) new JdkSerializationRedisSerializer();
this.cacheMetadata = new RedisCacheMetadata(name, prefix);
this.cacheMetadata.setDefaultExpiration(expiration);
this.redisOperations = redisOperations;
this.cacheValueAccessor = new CacheValueAccessor(serializer);
if (allowNullValues) {
if (redisOperations.getValueSerializer() instanceof StringRedisSerializer
|| redisOperations.getValueSerializer() instanceof GenericToStringSerializer
|| redisOperations.getValueSerializer() instanceof JacksonJsonRedisSerializer
|| redisOperations.getValueSerializer() instanceof Jackson2JsonRedisSerializer) {
throw new IllegalArgumentException(String.format(
"Redis does not allow keys with null value ¯\\_(ツ)_/¯. "
+ "The chosen %s does not support generic type handling and therefore cannot be used with allowNullValues enabled. "
+ "Please use a different RedisSerializer or disable null value support.",
ClassUtils.getShortName(redisOperations.getValueSerializer().getClass())));
}
}
}
那么在这个RedisCache中使用prefix
是什么意思? - &GT;如构造函数about所示,它在此语句this.cacheMetadata = new RedisCacheMetadata(name, prefix);
中使用,下面RedisCacheMetadata
的构造函数显示更多详细信息:
/**
* @param cacheName must not be {@literal null} or empty.
* @param keyPrefix can be {@literal null}.
*/
public RedisCacheMetadata(String cacheName, byte[] keyPrefix) {
Assert.hasText(cacheName, "CacheName must not be null or empty!");
this.cacheName = cacheName;
this.keyPrefix = keyPrefix;
StringRedisSerializer stringSerializer = new StringRedisSerializer();
// name of the set holding the keys
this.setOfKnownKeys = usesKeyPrefix() ? new byte[] {} : stringSerializer.serialize(cacheName + "~keys");
this.cacheLockName = stringSerializer.serialize(cacheName + "~lock");
}
此时,我们知道某些前缀参数已设置为RedisCacheMetadata
,但这个前缀在Redis中用于形成密钥的确切程度如何(例如,\ xac \ xed \ x00 \ x05t \ x00 \ tvc:你提到的501381)?
基本上,CacheInterceptor
随后将继续从上述private RedisCacheKey getRedisCacheKey(Object key)
对象调用方法RedisCache
,该对象通过利用<返回RedisCacheKey
的实例来自RedisCacheMetadata
的strong>前缀和来自RedisOperation
的keySerializer。
private RedisCacheKey getRedisCacheKey(Object key) {
return new RedisCacheKey(key).usePrefix(this.cacheMetadata.getKeyPrefix())
.withKeySerializer(redisOperations.getKeySerializer());
}
到达这一点时,CacheInterceptor
的“预先”建议已完成,它将继续执行由@Cacheable
注释的实际方法。在完成实际方法的执行后,它将执行CacheInterceptor
的“post”建议,它基本上将结果放到RedisCache中。下面是将结果放入redis缓存的方法:
public void put(final Object key, final Object value) {
put(new RedisCacheElement(getRedisCacheKey(key), toStoreValue(value))
.expireAfter(cacheMetadata.getDefaultExpiration()));
}
/**
* Add the element by adding {@link RedisCacheElement#get()} at {@link RedisCacheElement#getKeyBytes()}. If the cache
* previously contained a mapping for this {@link RedisCacheElement#getKeyBytes()}, the old value is replaced by
* {@link RedisCacheElement#get()}.
*
* @param element must not be {@literal null}.
* @since 1.5
*/
public void put(RedisCacheElement element) {
Assert.notNull(element, "Element must not be null!");
redisOperations
.execute(new RedisCachePutCallback(new BinaryRedisCacheElement(element, cacheValueAccessor), cacheMetadata));
}
在RedisCachePutCallback
对象中,其回调方法doInRedis()
实际上调用了一个方法,用于在redis中形成实际键,方法名称为getKeyBytes()
实例中的RedisCacheKey
。下面显示了此方法的详细信息:
/**
* Get the {@link Byte} representation of the given key element using prefix if available.
*/
public byte[] getKeyBytes() {
byte[] rawKey = serializeKeyElement();
if (!hasPrefix()) {
return rawKey;
}
byte[] prefixedKey = Arrays.copyOf(prefix, prefix.length + rawKey.length);
System.arraycopy(rawKey, 0, prefixedKey, prefix.length, rawKey.length);
return prefixedKey;
}
正如我们在getKeyBytes
方法中所看到的,它同时使用原始密钥(在您的情况下为vc:501381)和前缀密钥(在您的情况下为\ xac \ xed \ x00 \ x05t \ x00 \ t)
答案 3 :(得分:0)
您必须序列化要将其发送到redis的对象。下面是它的完整运行示例。它使用接口DomainObject
作为Serializable
以下是步骤
1)使用以下jar制作你的maven pom.xml
<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-core</artifactId>
<version>${spring.version}</version>
</dependency>
<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-context</artifactId>
<version>${spring.version}</version>
</dependency>
<dependency>
<groupId>cglib</groupId>
<artifactId>cglib</artifactId>
<version>2.2.2</version>
</dependency>
<dependency>
<groupId>org.springframework.data</groupId>
<artifactId>spring-data-redis</artifactId>
<version>1.3.0.RELEASE</version>
</dependency>
<dependency>
<groupId>redis.clients</groupId>
<artifactId>jedis</artifactId>
<version>2.4.1</version>
</dependency>
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-pool2</artifactId>
<version>2.0</version>
</dependency>
2)按照以下方式进行配置xml
<beans xmlns="http://www.springframework.org/schema/beans"
xmlns:context="http://www.springframework.org/schema/context"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns:p="http://www.springframework.org/schema/p"
xmlns:c="http://www.springframework.org/schema/c"
xmlns:cache="http://www.springframework.org/schema/cache"
xsi:schemaLocation="
http://www.springframework.org/schema/beans
http://www.springframework.org/schema/beans/spring-beans-3.0.xsd
http://www.springframework.org/schema/context
http://www.springframework.org/schema/context/spring-context-3.0.xsd
http://www.springframework.org/schema/cache
http://www.springframework.org/schema/cache/spring-cache.xsd">
<bean id="jeidsConnectionFactory"
class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory"
p:host-name="localhost" p:port="6379" p:password="" />
<bean id="redisTemplate" class="org.springframework.data.redis.core.RedisTemplate"
p:connection-factory-ref="jeidsConnectionFactory" />
<bean id="imageRepository" class="com.self.common.api.poc.ImageRepository">
<property name="redisTemplate" ref="redisTemplate"/>
</bean>
</beans>
3)按如下方式制作课程
package com.self.common.api.poc;
import java.awt.image.BufferedImage;
import java.io.ByteArrayInputStream;
import java.io.ByteArrayOutputStream;
import java.io.File;
import java.io.IOException;
import javax.imageio.ImageIO;
import org.springframework.context.ApplicationContext;
import org.springframework.context.support.ClassPathXmlApplicationContext;
import sun.misc.BASE64Decoder;
import sun.misc.BASE64Encoder;
public class RedisMainApp {
public static void main(String[] args) throws IOException {
ApplicationContext applicationContext = new ClassPathXmlApplicationContext("mvc-dispatcher-servlet.xml");
ImageRepository imageRepository = (ImageRepository) applicationContext.getBean("imageRepository");
BufferedImage img = ImageIO.read(new File("files/img/TestImage.png"));
BufferedImage newImg;
String imagestr;
imagestr = encodeToString(img, "png");
Image image1 = new Image("1", imagestr);
img = ImageIO.read(new File("files/img/TestImage2.png"));
imagestr = encodeToString(img, "png");
Image image2 = new Image("2", imagestr);
imageRepository.put(image1);
System.out.println(" Step 1 output : " + imageRepository.getObjects());
imageRepository.put(image2);
System.out.println(" Step 2 output : " + imageRepository.getObjects());
imageRepository.delete(image1);
System.out.println(" Step 3 output : " + imageRepository.getObjects());
}
/**
* Decode string to image
* @param imageString The string to decode
* @return decoded image
*/
public static BufferedImage decodeToImage(String imageString) {
BufferedImage image = null;
byte[] imageByte;
try {
BASE64Decoder decoder = new BASE64Decoder();
imageByte = decoder.decodeBuffer(imageString);
ByteArrayInputStream bis = new ByteArrayInputStream(imageByte);
image = ImageIO.read(bis);
bis.close();
} catch (Exception e) {
e.printStackTrace();
}
return image;
}
/**
* Encode image to string
* @param image The image to encode
* @param type jpeg, bmp, ...
* @return encoded string
*/
public static String encodeToString(BufferedImage image, String type) {
String imageString = null;
ByteArrayOutputStream bos = new ByteArrayOutputStream();
try {
ImageIO.write(image, type, bos);
byte[] imageBytes = bos.toByteArray();
BASE64Encoder encoder = new BASE64Encoder();
imageString = encoder.encode(imageBytes);
bos.close();
} catch (IOException e) {
e.printStackTrace();
}
return imageString;
}
}
package com.self.common.api.poc;
public class Image implements DomainObject {
public static final String OBJECT_KEY = "IMAGE";
public Image() {
}
public Image(String imageId, String imageAsStringBase64){
this.imageId = imageId;
this.imageAsStringBase64 = imageAsStringBase64;
}
private String imageId;
private String imageAsStringBase64;
public String getImageId() {
return imageId;
}
public void setImageId(String imageId) {
this.imageId = imageId;
}
public String getImageName() {
return imageAsStringBase64;
}
public void setImageName(String imageAsStringBase64) {
this.imageAsStringBase64 = imageAsStringBase64;
}
@Override
public String toString() {
return "User [id=" + imageAsStringBase64 + ", imageAsBase64String=" + imageAsStringBase64 + "]";
}
@Override
public String getKey() {
return getImageId();
}
@Override
public String getObjectKey() {
return OBJECT_KEY;
}
}
package com.self.common.api.poc;
import java.io.Serializable;
public interface DomainObject extends Serializable {
String getKey();
String getObjectKey();
}
package com.self.common.api.poc;
import java.util.List;
import com.self.common.api.poc.DomainObject;
public interface Repository<V extends DomainObject> {
void put(V obj);
V get(V key);
void delete(V key);
List<V> getObjects();
}
package com.self.common.api.poc;
import java.util.ArrayList;
import java.util.List;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.RedisTemplate;
import com.self.common.api.poc.DomainObject;
public class ImageRepository implements Repository<Image>{
@Autowired
private RedisTemplate<String,Image> redisTemplate;
public RedisTemplate<String,Image> getRedisTemplate() {
return redisTemplate;
}
public void setRedisTemplate(RedisTemplate<String,Image> redisTemplate) {
this.redisTemplate = redisTemplate;
}
@Override
public void put(Image image) {
redisTemplate.opsForHash()
.put(image.getObjectKey(), image.getKey(), image);
}
@Override
public void delete(Image key) {
redisTemplate.opsForHash().delete(key.getObjectKey(), key.getKey());
}
@Override
public Image get(Image key) {
return (Image) redisTemplate.opsForHash().get(key.getObjectKey(),
key.getKey());
}
@Override
public List<Image> getObjects() {
List<Image> users = new ArrayList<Image>();
for (Object user : redisTemplate.opsForHash().values(Image.OBJECT_KEY) ){
users.add((Image) user);
}
return users;
}
}
有关sprinf jedis的更多参考,您可以看到http://www.javacodegeeks.com/2012/06/using-redis-with-spring.html
示例代码取自http://javakart.blogspot.in/2012/12/spring-data-redis-hello-world-example.html
答案 4 :(得分:0)
这是一个非常古老的问题,但我的回答可能对于在使用Redis using Spring Boot时遇到同样问题的人有所帮助。在redis中存储哈希类型数据时,我遇到了同样的问题。我已经为RedisTemplate编写了所需的配置文件更改。
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.ComponentScan;
import org.springframework.context.annotation.Configuration;
@Configuration
@ComponentScan(basePackages = "com.redis")
public class AppCofiguration {
@Bean
JedisConnectionFactory jedisConnectionFactory() {
JedisConnectionFactory jedisConFactory = new JedisConnectionFactory();
jedisConFactory.setHostName("127.0.0.1");
jedisConFactory.setPort(6379);
return jedisConFactory;
}
@Bean
public RedisTemplate<String, Object> redisTemplate() {
final RedisTemplate<String, Object> template = new RedisTemplate<String, Object>();
template.setConnectionFactory(jedisConnectionFactory());
template.setKeySerializer(new StringRedisSerializer());
template.setValueSerializer(new StringRedisSerializer());
// the following is not required
template.setHashValueSerializer(new StringRedisSerializer());
template.setHashKeySerializer(new StringRedisSerializer());
return template;
}
}
如果数据类型为String,则不需要template.setHashValueSerializer(new StringRedisSerializer());
和template.setHashKeySerializer(new StringRedisSerializer());
。