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 keys, String value){ 
 
        //批量get数据
        List list = redisTemplate.executePipelined(new RedisCallback() {
            @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() {
            @Override
            public String doInRedis(RedisConnection connection) throws DataAccessException {
                for (int i=0;i 
  
 

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 contracts = JSONObject.parseArray(contractBOList, ContractBO.class);
    if (contracts == null || contracts.size() == 0) {
        return;
    }
    //批量set数据
    redisUtil.getRedisTemplate().executePipelined((RedisCallback) 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 contractBatchGetRedis(String contractBOList) {
    List contracts = JSONObject.parseArray(contractBOList, ContractBO.class);
    if (contracts == null || contracts.size() == 0) {
        return null;
    }
    List list = redisUtil.getRedisTemplate().executePipelined((RedisCallback) 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 objectMap) {
        //序列化成字节数组
        final Map byteMap=new HashMap<>();
        for(Map.Entry 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() {
            @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脚本之家。

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