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 程式師世界 >> 編程語言 >> JAVA編程 >> 關於JAVA >> spring聯合redis若何完成數據的緩存

spring聯合redis若何完成數據的緩存

編輯:關於JAVA

spring聯合redis若何完成數據的緩存。本站提示廣大學習愛好者:(spring聯合redis若何完成數據的緩存)文章只能為提供參考,不一定能成為您想要的結果。以下是spring聯合redis若何完成數據的緩存正文


1、完成目的

  經由過程redis緩存數據。(目標不是加速查詢的速度,而是削減數據庫的累贅)  

2、所需jar包

 

  留意:jdies和commons-pool兩個jar的版本是有對應關系的,留意引入jar包是要配對應用,不然將會報錯。由於commons-pooljar的目次依據版本的變更,目次構造會變。後面的版本是org.apache.pool,爾後面的版本是org.apache.pool2...

3、redis簡介

  redis是一個key-value存儲體系。和Memcached相似,它支撐存儲的value類型絕對更多,包含string(字符串)、list(鏈表)、set(聚集)、zset(sorted set --有序聚集)和hash(哈希類型)。這些數據類型都支撐push/pop、add/remove及取交集並集和差集及更豐碩的操作,並且這些操作都是原子性的。在此基本上,redis支撐各類分歧方法的排序。與memcached一樣,為了包管效力,數據都是緩存在內存中。差別的是redis會周期性的把更新的數據寫入磁盤或許把修正操作寫入追加的記載文件,而且在此基本上完成了master-slave(主從)

3、編碼完成

1)、設置裝備擺設的文件(properties)

  將那些常常要變更的參數設置裝備擺設成自力的propertis,便利今後的修正redis.properties

redis.hostName=127.0.0.1
redis.port=6379
redis.timeout=15000
redis.usePool=true

redis.maxIdle=6
redis.minEvictableIdleTimeMillis=300000
redis.numTestsPerEvictionRun=3
redis.timeBetweenEvictionRunsMillis=60000

2)、spring-redis.xml

  redis的相干參數設置裝備擺設設置。參數的值來自下面的properties文件

<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" default-autowire="byName"> 
 <bean id="jedisPoolConfig" class="redis.clients.jedis.JedisPoolConfig"> 
  <!-- <property name="maxIdle" value="6"></property> 
  <property name="minEvictableIdleTimeMillis" value="300000"></property> 
  <property name="numTestsPerEvictionRun" value="3"></property> 
  <property name="timeBetweenEvictionRunsMillis" value="60000"></property> -->
  
  <property name="maxIdle" value="${redis.maxIdle}"></property> 
  <property name="minEvictableIdleTimeMillis" value="${redis.minEvictableIdleTimeMillis}"></property> 
  <property name="numTestsPerEvictionRun" value="${redis.numTestsPerEvictionRun}"></property> 
  <property name="timeBetweenEvictionRunsMillis" value="${redis.timeBetweenEvictionRunsMillis}"></property>
 </bean> 
 <bean id="jedisConnectionFactory" class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory" destroy-method="destroy"> 
  <property name="poolConfig" ref="jedisPoolConfig"></property> 
  <property name="hostName" value="${redis.hostName}"></property> 
  <property name="port" value="${redis.port}"></property> 
  <property name="timeout" value="${redis.timeout}"></property> 
  <property name="usePool" value="${redis.usePool}"></property> 
 </bean> 
 <bean id="jedisTemplate" class="org.springframework.data.redis.core.RedisTemplate"> 
  <property name="connectionFactory" ref="jedisConnectionFactory"></property> 
  <property name="keySerializer"> 
   <bean class="org.springframework.data.redis.serializer.StringRedisSerializer"/> 
  </property> 
  <property name="valueSerializer"> 
   <bean class="org.springframework.data.redis.serializer.JdkSerializationRedisSerializer"/> 
  </property> 
 </bean> 
</beans> 

3)、applicationContext.xml

  spring的總設置裝備擺設文件,在外面假設一下的代碼

<bean class="org.springframework.beans.factory.config.PropertyPlaceholderConfigurer">
  <property name="systemPropertiesModeName" value="SYSTEM_PROPERTIES_MODE_OVERRIDE" />
  <property name="ignoreResourceNotFound" value="true" />
  <property name="locations">
   <list>
    
    <value>classpath*:/META-INF/config/redis.properties</value>
   </list>
  </property>
 </bean>

<import resource="spring-redis.xml" />

4)、web.xml

  設置spring的總設置裝備擺設文件在項目啟動時加載

 <context-param>
  <param-name>contextConfigLocation</param-name>
  <param-value>classpath*:/META-INF/applicationContext.xml</param-value><!-- -->
 </context-param>

5)、redis緩存對象類

ValueOperations  ——根本數據類型和實體類的緩存
ListOperations     ——list的緩存
SetOperations    ——set的緩存

HashOperations  Map的緩存

import java.io.Serializable;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import java.util.Set;

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.context.support.ClassPathXmlApplicationContext;
import org.springframework.data.redis.core.BoundSetOperations;
import org.springframework.data.redis.core.HashOperations;
import org.springframework.data.redis.core.ListOperations;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.SetOperations;
import org.springframework.data.redis.core.ValueOperations;
import org.springframework.stereotype.Service;

@Service
public class RedisCacheUtil<T>
{

 
 @Autowired @Qualifier("jedisTemplate")
 public RedisTemplate redisTemplate;
 

 
 /**
  * 緩存根本的對象,Integer、String、實體類等
  * @param key 緩存的鍵值
  * @param value 緩存的值
  * @return  緩存的對象
  */
 public <T> ValueOperations<String,T> setCacheObject(String key,T value)
 {
  
  ValueOperations<String,T> operation = redisTemplate.opsForValue(); 
  operation.set(key,value);
  return operation;
 }
 
 /**
  * 取得緩存的根本對象。
  * @param key  緩存鍵值
  * @param operation
  * @return   緩存鍵值對應的數據
  */
 public <T> T getCacheObject(String key/*,ValueOperations<String,T> operation*/)
 {
  ValueOperations<String,T> operation = redisTemplate.opsForValue(); 
  return operation.get(key);
 }
 
 /**
  * 緩存List數據
  * @param key  緩存的鍵值
  * @param dataList 待緩存的List數據
  * @return   緩存的對象
  */
 public <T> ListOperations<String, T> setCacheList(String key,List<T> dataList)
 {
  ListOperations listOperation = redisTemplate.opsForList();
  if(null != dataList)
  {
   int size = dataList.size();
   for(int i = 0; i < size ; i ++)
   {
    
    listOperation.rightPush(key,dataList.get(i));
   }
  }
  
  return listOperation;
 }
 
 /**
  * 取得緩存的list對象
  * @param key 緩存的鍵值
  * @return  緩存鍵值對應的數據
  */
 public <T> List<T> getCacheList(String key)
 {
  List<T> dataList = new ArrayList<T>();
  ListOperations<String,T> listOperation = redisTemplate.opsForList();
  Long size = listOperation.size(key);
  
  for(int i = 0 ; i < size ; i ++)
  {
   dataList.add((T) listOperation.leftPop(key));
  }
  
  return dataList;
 }
 
 /**
  * 緩存Set
  * @param key  緩存鍵值
  * @param dataSet 緩存的數據
  * @return   緩存數據的對象
  */
 public <T> BoundSetOperations<String,T> setCacheSet(String key,Set<T> dataSet)
 {
  BoundSetOperations<String,T> setOperation = redisTemplate.boundSetOps(key); 
  /*T[] t = (T[]) dataSet.toArray();
    setOperation.add(t);*/
  
  
  Iterator<T> it = dataSet.iterator();
  while(it.hasNext())
  {
   setOperation.add(it.next());
  }
  
  return setOperation;
 }
 
 /**
  * 取得緩存的set
  * @param key
  * @param operation
  * @return
  */
 public Set<T> getCacheSet(String key/*,BoundSetOperations<String,T> operation*/)
 {
  Set<T> dataSet = new HashSet<T>();
  BoundSetOperations<String,T> operation = redisTemplate.boundSetOps(key); 
  
  Long size = operation.size();
  for(int i = 0 ; i < size ; i++)
  {
   dataSet.add(operation.pop());
  }
  return dataSet;
 }
 
 /**
  * 緩存Map
  * @param key
  * @param dataMap
  * @return
  */
 public <T> HashOperations<String,String,T> setCacheMap(String key,Map<String,T> dataMap)
 {
  
  HashOperations hashOperations = redisTemplate.opsForHash();
  if(null != dataMap)
  {
   
   for (Map.Entry<String, T> entry : dataMap.entrySet()) { 
     
    /*System.out.println("Key = " + entry.getKey() + ", Value = " + entry.getValue()); */
    hashOperations.put(key,entry.getKey(),entry.getValue());
   } 
   
  }
  
  return hashOperations;
 }
 
 /**
  * 取得緩存的Map
  * @param key
  * @param hashOperation
  * @return
  */
 public <T> Map<String,T> getCacheMap(String key/*,HashOperations<String,String,T> hashOperation*/)
 {
  Map<String, T> map = redisTemplate.opsForHash().entries(key);
  /*Map<String, T> map = hashOperation.entries(key);*/
  return map;
 }
 
 
 
 
 
 
 
 /**
  * 緩存Map
  * @param key
  * @param dataMap
  * @return
  */
 public <T> HashOperations<String,Integer,T> setCacheIntegerMap(String key,Map<Integer,T> dataMap)
 {
  HashOperations hashOperations = redisTemplate.opsForHash();
  if(null != dataMap)
  {
   
   for (Map.Entry<Integer, T> entry : dataMap.entrySet()) { 
     
    /*System.out.println("Key = " + entry.getKey() + ", Value = " + entry.getValue()); */
    hashOperations.put(key,entry.getKey(),entry.getValue());
   } 
   
  }
  
  return hashOperations;
 }
 
 /**
  * 取得緩存的Map
  * @param key
  * @param hashOperation
  * @return
  */
 public <T> Map<Integer,T> getCacheIntegerMap(String key/*,HashOperations<String,String,T> hashOperation*/)
 {
  Map<Integer, T> map = redisTemplate.opsForHash().entries(key);
  /*Map<String, T> map = hashOperation.entries(key);*/
  return map;
 }
}

6)、測試

  這裡測試我是在項目啟動的時刻到數據庫中查找出國度和城市的數據,停止緩存,以後將數據去除。

6.1  項目啟動時緩存數據

import java.util.HashMap;
import java.util.List;
import java.util.Map;

import org.apache.log4j.Logger;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.context.ApplicationListener;
import org.springframework.context.event.ContextRefreshedEvent;
import org.springframework.stereotype.Service;

import com.test.model.City;
import com.test.model.Country;
import com.zcr.test.User;

/*
 * 監聽器,用於項目啟動的時刻初始化信息
 */
@Service
public class StartAddCacheListener implements ApplicationListener<ContextRefreshedEvent>
{
 //日記
 private final Logger log= Logger.getLogger(StartAddCacheListener.class);
 
 @Autowired
 private RedisCacheUtil<Object> redisCache;
 
 @Autowired
 private BrandStoreService brandStoreService;
 
 @Override
 public void onApplicationEvent(ContextRefreshedEvent event) 
 {
  //spring 啟動的時刻緩存城市和國度等信息
  if(event.getApplicationContext().getDisplayName().equals("Root WebApplicationContext"))
  {
   System.out.println("\n\n\n_________\n\n緩存數據 \n\n ________\n\n\n\n");
   List<City> cityList = brandStoreService.selectAllCityMessage();
   List<Country> countryList = brandStoreService.selectAllCountryMessage();
   
   Map<Integer,City> cityMap = new HashMap<Integer,City>();
   
   Map<Integer,Country> countryMap = new HashMap<Integer, Country>();
   
   int cityListSize = cityList.size();
   int countryListSize = countryList.size();
   
   for(int i = 0 ; i < cityListSize ; i ++ )
   {
    cityMap.put(cityList.get(i).getCity_id(), cityList.get(i));
   }
   
   for(int i = 0 ; i < countryListSize ; i ++ )
   {
    countryMap.put(countryList.get(i).getCountry_id(), countryList.get(i));
   }
   
   redisCache.setCacheIntegerMap("cityMap", cityMap);
   redisCache.setCacheIntegerMap("countryMap", countryMap);
  }
 }
 
}

6.2  獲得緩存數據

 @Autowired
 private RedisCacheUtil<User> redisCache;

 @RequestMapping("testGetCache")
 public void testGetCache()
 {
  /*Map<String,Country> countryMap = redisCacheUtil1.getCacheMap("country");
  Map<String,City> cityMap = redisCacheUtil.getCacheMap("city");*/
  Map<Integer,Country> countryMap = redisCacheUtil1.getCacheIntegerMap("countryMap");
  Map<Integer,City> cityMap = redisCacheUtil.getCacheIntegerMap("cityMap");
  
  for(int key : countryMap.keySet())
  {
   System.out.println("key = " + key + ",value=" + countryMap.get(key));
  }
  
  System.out.println("------------city");
  for(int key : cityMap.keySet())
  {
   System.out.println("key = " + key + ",value=" + cityMap.get(key));
  }
 } 

因為Spring在設置裝備擺設文件中設置裝備擺設的bean默許是單例的,所以只須要經由過程Autowired注入,便可獲得本來的緩存類。

以上就是spring+redis完成數據緩存的辦法,願望對年夜家的進修有所贊助。

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