【前端必备技能java之若依框架缓存(redis)模块封装梳理与MyBatis最佳实践】
在Java后端开发中,我们通常需要对数据库进行操作,并对查询结果进行缓存以提高性能。以下是一个使用Redis作为缓存和MyBatis作为ORM框架的示例代码:
import org.apache.ibatis.cache.CacheKey;
import org.apache.ibatis.executor.Executor;
import org.apache.ibatis.mapping.MappedStatement;
import org.apache.ibatis.session.Configuration;
import org.apache.ibatis.session.SqlSession;
import org.mybatis.caches.redis.RedisCache;
import redis.clients.jedis.JedisPool;
import java.util.concurrent.locks.ReadWriteLock;
import java.util.concurrent.locks.ReentrantReadWriteLock;
public class MyRedisCache implements RedisCache {
private final String id;
private final JedisPool jedisPool;
private final ReadWriteLock readWriteLock = new ReentrantReadWriteLock();
private final static String PREFIX = "mybatis_cache:";
public MyRedisCache(String id, JedisPool jedisPool) {
this.id = id;
this.jedisPool = jedisPool;
}
@Override
public String getId() {
return id;
}
@Override
public void putObject(Object key, Object value) {
try (JedisPool jedis = jedisPool) {
jedis.getResource().set(PREFIX.concat(String.valueOf(key)), String.valueOf(value));
}
}
@Override
public Object getObject(Object key) {
try (JedisPool jedis = jedisPool) {
return jedis.getResource().get(PREFIX.concat(String.valueOf(key)));
}
}
// ... 其他方法实现
}
class MyBatisConfig {
public Configuration configuration() {
Configuration configuration = new Configuration();
// 配置自定义的缓存实现
configuration.addCache(new MyRedisCache("defaultCache", jedisPool));
// 其他配置...
return configuration;
}
}
class MyBatisMapperMethod {
private final SqlSession sqlSession;
private final MappedStatement mappedStatement;
private final Executor executor;
private final CacheKey cacheKey;
public MyBatisMapperMethod(SqlSession sqlSession, MappedStatement mappedStatement, Executor executor, CacheKey cacheKey) {
this.sqlSession = sqlSession;
this.mappedStatement = mappedStatement;
this.executor = executor;
this.cacheKey = cacheKey;
}
public Object execute(Object[] args) {
Object result = executor.query(sqlSession, mappedStatement, cacheKey, args, executionContext);
// 如果缓存中没有数据,执行查询并放入缓存
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