SpringBoot Redis批量存取數據的操作
springboot中的redisTemplate封裝了redis批處理數據的接口,我們使用redisTemplate可以直接進行批量數據的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 **/@Componentpublic class RedisService { @Autowired @Qualifier('stringRedisTemplate') private StringRedisTemplate redisTemplate; public void insertKey(List<String> keys, String value){ //批量get數據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數據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; }}); }}
如果要設置 key 的過期時間,通過 setEx() 來做就可以了,過期時間單位是秒,相關代碼如下:
/** * 合同批量導入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數據 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; });} /** * 合同批量獲取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對redis批量存取介紹到此結束。
redisTemplate批量寫入數據/** * 批量寫入數據 * @param objectMap * @return */ public void saveMap(final Map<String,Object> objectMap) {//序列化成字節數組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批量寫入數據異常:'+ex.getMessage(),ex);}return null; }}); }
以上為個人經驗,希望能給大家一個參考,也希望大家多多支持好吧啦網。
相關文章: