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。
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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 **/@Componentpublic 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：
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/** * 合同批量导入redis * * @param contractBOList * @param expire * @return com.openailab.oascloud.common.model.ResponseResult * @author zxzhang * @date 2019/10/14 */@Overridepublic 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 */@Overridepublic 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
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/** * 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服务器之家。
原文链接：https://vegetable-chicken.blog.csdn.net/article/details/102553511
