SpringBoot Redis批量存取数据的操作

SpringBoot Redis批量存取数据

springboot中的redisTemplate封装了redis批处理数据的接口，我们使用redisTemplate可以直接进行批量数据的get和set。

package com.huateng.applacation.service;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
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.StringRedisTemplate;
import org.springframework.stereotype.Component;
import java.util.List;

/**
 * @program: applacation
 * @description:
 * @author: daiwenlong
 * @create: 2019-01-24 13:26
 **/
@Component
public class RedisService {
    @Autowired
    @Qualifier("stringRedisTemplate")
    private StringRedisTemplate redisTemplate;
    public void insertKey(List<String> keys, String value){ 

        //批量get数据
        List<Object> list = redisTemplate.executePipelined(new RedisCallback<String>() {
            @Override
            public String doInRedis(RedisConnection connection) throws DataAccessException {
                for (String key : keys) {
                    connection.get(key.getBytes());
                }
                return null;
            }
        });

        //批量set数据
        redisTemplate.executePipelined(new RedisCallback<String>() {
            @Override
            public String doInRedis(RedisConnection connection) throws DataAccessException {
                for (int i=0;i<keys.size();i++) {
                    connection.set(keys.get(i).getBytes(),value.getBytes());
                }
                return null;
            }
        });
    }
}

如果要设置 key 的过期时间，通过 setEx() 来做就可以了，过期时间单位是秒，相关代码如下：

/**
 * 合同批量导入redis
 *
 * @param contractBOList
 * @param expire
 * @return com.openailab.oascloud.common.model.ResponseResult
 * @author zxzhang
 * @date 2019/10/14
 */
@Override
public void contractBatchSetRedis(String contractBOList, long expire) {
    List<ContractBO> contracts = JSONObject.parseArray(contractBOList, ContractBO.class);
    if (contracts == null || contracts.size() == 0) {
        return;
    }
    //批量set数据
    redisUtil.getRedisTemplate().executePipelined((RedisCallback<String>) connection -> {
        for (ContractBO contract : contracts) {
            connection.setEx((RedisPrefixConst.CONTRACT_PREFIX + contract.getBusinessCode() + RedisPrefixConst.UNDERLINE_SEPARATOR + contract.getContractNo()).getBytes(), expire, JSONObject.toJSONString(contract).getBytes());
        }
        return null;
    });
}

/**
 * 合同批量获取redis
 *
 * @param contractBOList
 * @return java.lang.String
 * @author zxzhang
 * @date 2019/10/14
 */
@Override
public List<Object> contractBatchGetRedis(String contractBOList) {
    List<ContractBO> contracts = JSONObject.parseArray(contractBOList, ContractBO.class);
    if (contracts == null || contracts.size() == 0) {
        return null;
    }
    List<Object> list = redisUtil.getRedisTemplate().executePipelined((RedisCallback<String>) connection -> {
        for (ContractBO contract : contracts) {
            connection.get((RedisPrefixConst.CONTRACT_PREFIX + contract.getBusinessCode() + RedisPrefixConst.UNDERLINE_SEPARATOR + contract.getContractNo()).getBytes());
        }
        return null;
    });
    return list;
}

SpringBoot对redis批量存取介绍到此结束。

redisTemplate批量写入数据

 /**
     * 批量写入数据
     * @param objectMap
     * @return
     */
    public void saveMap(final Map<String,Object> objectMap) {
        //序列化成字节数组
        final Map<byte[],byte[]> byteMap=new HashMap<>();
        for(Map.Entry<String,Object> objectEntry:objectMap.entrySet()){
            String key=objectEntry.getKey();
            final byte[] keyBytes = redisTemplate.getStringSerializer().serialize(key);
            Object value=objectEntry.getValue();
            final byte[] valueBytes =SerializeUtil.serialize(value);
            byteMap.put(keyBytes,valueBytes);
        }

        redisTemplate.execute(new RedisCallback<Object>() {
            @Override
            public Object doInRedis(RedisConnection connection) {
                try{
                    connection.mSet(byteMap);
                }catch (Exception ex){
                    log.error("redis批量写入数据异常："+ex.getMessage(),ex);
                }
                return null;
            }
        });
    }

以上为个人经验，希望能给大家一个参考，也希望大家多多支持我们。