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;
@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:
@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;
});
}
@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
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编程网。