springmvc集成使用redis过程代码示例

本篇文章小编给大家分享一下springmvc集成使用redis过程代码示例，文章代码介绍的很详细，小编觉得挺不错的，现在分享给大家供大家参考，有需要的小伙伴们可以来看看。

spring集成redis

首先你需要下载驱动包，下载 jedis.jar，确保下载最新驱动包。然后导包。

在spring配置文件里我这是ApplicationContext .xml文件添加

然后用创建spring-redis.xml文件

写入

public class RedisCache { 
	public final static String CAHCENAME = "niitcache";// 缓存名
	public final static int CAHCETIME = 60;// 默认缓存时间 60S
	public final static int CAHCEHOUR = 60 * 60;// 默认缓存时间 1hr
	public final static int CAHCEDAY = 60 * 60 * 24;// 默认缓存时间 1Day
	public final static int CAHCEWEEK = 60 * 60 * 24 * 7;// 默认缓存时间 1week
	public final static int CAHCEMONTH = 60 * 60 * 24 * 7 * 30;// 默认缓存时间 1month
 
	@Autowired
	private RedisTemplate redisTemplate; 
	public  boolean putCache(String key, T obj) {
		final byte[] bkey = key.getBytes();
		final byte[] bvalue = ProtoStuffSerializerUtil.serialize(obj);
		boolean result = redisTemplate.execute(new RedisCallback() {
			@Override
			public Boolean doInRedis(RedisConnection connection) throws DataAccessException {
				return connection.setNX(bkey, bvalue);
			}
		});
		return result;
	}
 
	public  void putCacheWithExpireTime(String key, T obj, final long expireTime) {
		final byte[] bkey = key.getBytes();
		final byte[] bvalue = ProtoStuffSerializerUtil.serialize(obj);
		redisTemplate.execute(new RedisCallback() {
			@Override
			public Boolean doInRedis(RedisConnection connection) throws DataAccessException {
				connection.setEx(bkey, expireTime, bvalue);
				return true;
			}
		});
	}
 
	public  boolean putListCache(String key, List objList) {
		final byte[] bkey = key.getBytes();
		final byte[] bvalue = ProtoStuffSerializerUtil.serializeList(objList);
		boolean result = redisTemplate.execute(new RedisCallback() {
			@Override
			public Boolean doInRedis(RedisConnection connection) throws DataAccessException {
				return connection.setNX(bkey, bvalue);
			}
		});
		return result;
	}
 
	public  boolean putListCacheWithExpireTime(String key, List objList, final long expireTime) {
		final byte[] bkey = key.getBytes();
		final byte[] bvalue = ProtoStuffSerializerUtil.serializeList(objList);
		boolean result = redisTemplate.execute(new RedisCallback() {
			@Override
			public Boolean doInRedis(RedisConnection connection) throws DataAccessException {
				connection.setEx(bkey, expireTime, bvalue);
				return true;
			}
		});
		return result;
	}
 
	public  T getCache(final String key, Class targetClass) {
		byte[] result = redisTemplate.execute(new RedisCallback() {
			@Override
			public byte[] doInRedis(RedisConnection connection) throws DataAccessException {
				return connection.get(key.getBytes());
			}
		});
		if (result == null) {
			return null;
		}
		return ProtoStuffSerializerUtil.deserialize(result, targetClass);
	}
 
	public  List getListCache(final String key, Class targetClass) {
		byte[] result = redisTemplate.execute(new RedisCallback() {
			@Override
			public byte[] doInRedis(RedisConnection connection) throws DataAccessException {
				return connection.get(key.getBytes());
			}
		});
		if (result == null) {
			return null;
		}
		return ProtoStuffSerializerUtil.deserializeList(result, targetClass);
	}
 
	/**
	 * 精确删除key
	 * 
	 * @param key
	 */
	public void deleteCache(String key) {
		redisTemplate.delete(key);
	}
 
	/**
	 * 模糊删除key
	 * 
	 * @param pattern
	 */
	public void deleteCacheWithPattern(String pattern) {
		Set keys = redisTemplate.keys(pattern);
		redisTemplate.delete(keys);
	}
 
	/**
	 * 清空所有缓存
	 */
	public void clearCache() {
		deleteCacheWithPattern(RedisCache.CAHCENAME + "|*");
	}
}

创建redis的配置文件 redis.properties。

写入

#redis config
redis.pass=
redis.pool.maxTotal=105
redis.pool.maxIdle=10
redis.pool.maxWaitMillis=5000
redis.pool.testOnBorrow=true
 
redis.ip=127.0.0.1
redis.port=6379

这些根据自己的需求自定义配置就好了

这样redis就继承好了

SpringMVC中使用redis

创建一个redisCache类

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.dao.DataAccessException;
import org.springframework.data.redis.connection.RedisConnection;
import org.springframework.data.redis.core.RedisCallback;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Component; 
import com.niit.util.ProtoStuffSerializerUtil; 
import java.util.List;
import java.util.Set;
 
/**
 * redis缓存
 * 
 * @author James
 *
 */
@Component
public class RedisCache {
 
	public final static String CAHCENAME = "niitcache";// 缓存名
	public final static int CAHCETIME = 60;// 默认缓存时间 60S
	public final static int CAHCEHOUR = 60 * 60;// 默认缓存时间 1hr
	public final static int CAHCEDAY = 60 * 60 * 24;// 默认缓存时间 1Day
	public final static int CAHCEWEEK = 60 * 60 * 24 * 7;// 默认缓存时间 1week
	public final static int CAHCEMONTH = 60 * 60 * 24 * 7 * 30;// 默认缓存时间 1month
 
	@Autowired
	private RedisTemplate redisTemplate; 
	public  boolean putCache(String key, T obj) {
		final byte[] bkey = key.getBytes();
		final byte[] bvalue = ProtoStuffSerializerUtil.serialize(obj);
		boolean result = redisTemplate.execute(new RedisCallback() {
			@Override
			public Boolean doInRedis(RedisConnection connection) throws DataAccessException {
				return connection.setNX(bkey, bvalue);
			}
		});
		return result;
	}
 
	public  void putCacheWithExpireTime(String key, T obj, final long expireTime) {
		final byte[] bkey = key.getBytes();
		final byte[] bvalue = ProtoStuffSerializerUtil.serialize(obj);
		redisTemplate.execute(new RedisCallback() {
			@Override
			public Boolean doInRedis(RedisConnection connection) throws DataAccessException {
				connection.setEx(bkey, expireTime, bvalue);
				return true;
			}
		});
	}
 
	public  boolean putListCache(String key, List objList) {
		final byte[] bkey = key.getBytes();
		final byte[] bvalue = ProtoStuffSerializerUtil.serializeList(objList);
		boolean result = redisTemplate.execute(new RedisCallback() {
			@Override
			public Boolean doInRedis(RedisConnection connection) throws DataAccessException {
				return connection.setNX(bkey, bvalue);
			}
		});
		return result;
	}
 
	public  boolean putListCacheWithExpireTime(String key, List objList, final long expireTime) {
		final byte[] bkey = key.getBytes();
		final byte[] bvalue = ProtoStuffSerializerUtil.serializeList(objList);
		boolean result = redisTemplate.execute(new RedisCallback() {
			@Override
			public Boolean doInRedis(RedisConnection connection) throws DataAccessException {
				connection.setEx(bkey, expireTime, bvalue);
				return true;
			}
		});
		return result;
	}
 
	public  T getCache(final String key, Class targetClass) {
		byte[] result = redisTemplate.execute(new RedisCallback() {
			@Override
			public byte[] doInRedis(RedisConnection connection) throws DataAccessException {
				return connection.get(key.getBytes());
			}
		});
		if (result == null) {
			return null;
		}
		return ProtoStuffSerializerUtil.deserialize(result, targetClass);
	}
 
	public  List getListCache(final String key, Class targetClass) {
		byte[] result = redisTemplate.execute(new RedisCallback() {
			@Override
			public byte[] doInRedis(RedisConnection connection) throws DataAccessException {
				return connection.get(key.getBytes());
			}
		});
		if (result == null) {
			return null;
		}
		return ProtoStuffSerializerUtil.deserializeList(result, targetClass);
	}
 
	/**
	 * 精确删除key
	 * 
	 * @param key
	 */
	public void deleteCache(String key) {
		redisTemplate.delete(key);
	}
 
	/**
	 * 模糊删除key
	 * 
	 * @param pattern
	 */
	public void deleteCacheWithPattern(String pattern) {
		Set keys = redisTemplate.keys(pattern);
		redisTemplate.delete(keys);
	}
 
	/**
	 * 清空所有缓存
	 */
	public void clearCache() {
		deleteCacheWithPattern(RedisCache.CAHCENAME + "|*");
	}
}

写进和读取redis

  String v = "test";
  cache.putCacheWithExpireTime("key", v, cache.CAHCEHOUR);
  String value = cache.getCache("key", String.class);
  System.out.println(value);

然后集成成功。redis是将数据放进内存里。所以需要考虑做redis服务器时候的内存性能，还有redis的缓存策略等等。