1.objectmapper 配置
package com.szsti.existingbuilding.web.config;
import com.fasterxml.jackson.annotation.JsonInclude;
import com.fasterxml.jackson.databind.*;
import com.fasterxml.jackson.datatype.jsr310.JavaTimeModule;
import lombok.extern.slf4j.Slf4j;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import java.text.SimpleDateFormat;
@Slf4j
@Configuration
public class ObjectMapperConfig {
@Bean("objectMapper")
public ObjectMapper objectMapper() {
ObjectMapper objectMapper = new ObjectMapper();
//configure方法 配置一些需要的参数
// 转换为格式化的json 显示出来的格式美化
objectMapper.enable(SerializationFeature.INDENT_OUTPUT);
//序列化的时候序列对象的那些属性
//JsonInclude.Include.NON_DEFAULT 属性为默认值不序列化
//JsonInclude.Include.ALWAYS 所有属性
//JsonInclude.Include.NON_EMPTY 属性为 空(“”) 或者为 NULL 都不序列化
//JsonInclude.Include.NON_NULL 属性为NULL 不序列化
objectMapper.setSerializationInclusion(JsonInclude.Include.ALWAYS);
//反序列化时,遇到未知属性会不会报错
//true - 遇到没有的属性就报错 false - 没有的属性不会管,不会报错
objectMapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);
//如果是空对象的时候,不抛异常
objectMapper.configure(SerializationFeature.FAIL_ON_EMPTY_BEANS, false);
// 忽略 transient 修饰的属性
objectMapper.configure(MapperFeature.PROPAGATE_TRANSIENT_MARKER, true);
//修改序列化后日期格式
objectMapper.configure(SerializationFeature.WRITE_DATES_AS_TIMESTAMPS, false);
objectMapper.setDateFormat(new SimpleDateFormat("yyyy-MM-dd HH:mm:ss"));
//处理不同的时区偏移格式
objectMapper.disable(SerializationFeature.WRITE_DATES_AS_TIMESTAMPS);
objectMapper.registerModule(new JavaTimeModule());
return objectMapper;
}
}
- redisTemplate 配置
package com.atguigu.redis.config;
import lombok.extern.slf4j.Slf4j;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.lettuce.LettuceConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.GenericJackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import java.io.Serializable;
@Configuration
@Slf4j
public class RedisConfig
{
/**
* @param lettuceConnectionFactory
* @return
*
* redis序列化的工具配置类,下面这个请一定开启配置
* 127.0.0.1:6379> keys *
* 1) "ord:102" 序列化过
* 2) "\xac\xed\x00\x05t\x00\aord:102" 野生,没有序列化过
*/
@Bean
public RedisTemplate<String,Serializable> redisTemplate(LettuceConnectionFactory lettuceConnectionFactory)
{
RedisTemplate<String,Serializable> redisTemplate = new RedisTemplate<>();
redisTemplate.setConnectionFactory(lettuceConnectionFactory);
//设置key序列化方式string
redisTemplate.setKeySerializer(new StringRedisSerializer());
//设置value的序列化方式json
redisTemplate.setValueSerializer(new GenericJackson2JsonRedisSerializer());
redisTemplate.setHashKeySerializer(new StringRedisSerializer());
redisTemplate.setHashValueSerializer(new GenericJackson2JsonRedisSerializer());
redisTemplate.afterPropertiesSet();
return redisTemplate;
}
}
3.线程池
package com.szsti.existingbuilding.web.config;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.core.task.AsyncTaskExecutor;
import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;
/**
* 线程池配置
*
* @ClassName AsyncConfig
* @Author Colin
* @Date 2021/9/1 12:29
* @Version 1.0
*/
@Configuration
public class AsyncConfig {
private static final int MAX_POOL_SIZE = 50;
private static final int CORE_POOL_SIZE = 20;
@Bean("asyncTaskExecutor")
public AsyncTaskExecutor asyncTaskExecutor() {
ThreadPoolTaskExecutor asyncTaskExecutor = new ThreadPoolTaskExecutor();
asyncTaskExecutor.setMaxPoolSize(MAX_POOL_SIZE);
asyncTaskExecutor.setCorePoolSize(CORE_POOL_SIZE);
asyncTaskExecutor.setThreadNamePrefix("async-task-thread-pool-");
asyncTaskExecutor.initialize();
return asyncTaskExecutor;
}
}