Spring RedisTemplate 批量获取值的2种方式

最新推荐文章于 2025-07-17 11:49:37 发布

Leon-Zheng

最新推荐文章于 2025-07-17 11:49:37 发布

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分类专栏： Spring专题 Redis 文章标签： spring redisTemplate

本文链接：https://blog.youkuaiyun.com/difffate/article/details/76987204

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本文介绍了两种在Redis中批量获取数据的方法：使用multiGet和PipeLine。这两种方法都通过减少网络往返次数来提高效率，其中PipeLine允许在一个连接上执行多条命令。文章还提到了查询结果与键的一一对应关系。

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1、利用mGet

List<String> keys = new ArrayList<>();
//初始keys
List<YourObject> list = this.redisTemplate.opsForValue().multiGet(keys);

2、利用PipeLine

List<YourObject> list = this.redisTemplate.executePipelined(new RedisCallback<YourObject>() {
    @Override
    public YourObject doInRedis(RedisConnection connection) throws DataAccessException {
        StringRedisConnection conn = (StringRedisConnection)connection;
        for (String key : keys) {
            conn.get(key);
        }
        return null;
    }
});

其实2者底层都是用到execute方法，multiGet在使用连接是没用到pipeline，一条命令直接传给Redis，Redis返回结果。而executePipelined实际上一条或多条命令，但是共用一个连接。

    /**
     * Executes the given action object within a connection that can be exposed or not. Additionally, the connection can
     * be pipelined. Note the results of the pipeline are discarded (making it suitable for write-only scenarios).
     *
     * @param <T> return type
     * @param action callback object to execute
     * @param exposeConnection whether to enforce exposure of the native Redis Connection to callback code
     * @param pipeline whether to pipeline or not the connection for the execution
     * @return object returned by the action
     */
    public <T> T execute(RedisCallback<T> action, boolean exposeConnection, boolean pipeline) {
        Assert.isTrue(initialized, "template not initialized; call afterPropertiesSet() before using it");
        Assert.notNull(action, "Callback object must not be null");

        RedisConnectionFactory factory = getConnectionFactory();
        RedisConnection conn = null;
        try {

            if (enableTransactionSupport) {
                // only bind resources in case of potential transaction synchronization
                conn = RedisConnectionUtils.bindConnection(factory, enableTransactionSupport);
            } else {
                conn = RedisConnectionUtils.getConnection(factory);
            }

            boolean existingConnection = TransactionSynchronizationManager.hasResource(factory);

            RedisConnection connToUse = preProcessConnection(conn, existingConnection);

            boolean pipelineStatus = connToUse.isPipelined();
            if (pipeline && !pipelineStatus) { //开启管道
                connToUse.openPipeline();
            }

            RedisConnection connToExpose = (exposeConnection ? connToUse : createRedisConnectionProxy(connToUse));
            T result = action.doInRedis(connToExpose);

            if (pipeline && !pipelineStatus) {// 关闭管道
                connToUse.closePipeline();
            }

            // TODO: any other connection processing?
            return postProcessResult(result, connToUse, existingConnection);
        } finally {

            if (!enableTransactionSupport) {
                RedisConnectionUtils.releaseConnection(conn, factory);
            }
        }
    }

还有一点，就是查询返回的结果，和键的顺序是一一对应的，如果没查到，会返回null值。