From a907f8485c9d8bea82c71be7364c4c511e5e429a Mon Sep 17 00:00:00 2001
From: wzy1024 <395778325@qq.com>
Date: 星期二, 04 四月 2023 11:58:26 +0800
Subject: [PATCH] 导出Excel，@Excel注解使用dictType属性时，如果有大量的字典数据，就会有大量的查询redis(打开、关闭)，导致特别慢。于是使用map存储字典数据，相同的key就不需要再次去查询redis，大大提高了导出效率。
---
ruoyi-framework/src/main/java/com/ruoyi/framework/config/RedisConfig.java | 10 ----------
1 files changed, 0 insertions(+), 10 deletions(-)
diff --git a/ruoyi-framework/src/main/java/com/ruoyi/framework/config/RedisConfig.java b/ruoyi-framework/src/main/java/com/ruoyi/framework/config/RedisConfig.java
index fe1822f..b188ac2 100644
--- a/ruoyi-framework/src/main/java/com/ruoyi/framework/config/RedisConfig.java
+++ b/ruoyi-framework/src/main/java/com/ruoyi/framework/config/RedisConfig.java
@@ -8,11 +8,6 @@
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.script.DefaultRedisScript;
import org.springframework.data.redis.serializer.StringRedisSerializer;
-import com.fasterxml.jackson.annotation.JsonAutoDetect;
-import com.fasterxml.jackson.annotation.JsonTypeInfo;
-import com.fasterxml.jackson.annotation.PropertyAccessor;
-import com.fasterxml.jackson.databind.ObjectMapper;
-import com.fasterxml.jackson.databind.jsontype.impl.LaissezFaireSubTypeValidator;
/**
* redis配置
@@ -31,11 +26,6 @@
template.setConnectionFactory(connectionFactory);
FastJson2JsonRedisSerializer serializer = new FastJson2JsonRedisSerializer(Object.class);
-
- ObjectMapper mapper = new ObjectMapper();
- mapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
- mapper.activateDefaultTyping(LaissezFaireSubTypeValidator.instance, ObjectMapper.DefaultTyping.NON_FINAL, JsonTypeInfo.As.PROPERTY);
- serializer.setObjectMapper(mapper);
// 使用StringRedisSerializer来序列化和反序列化redis的key值
template.setKeySerializer(new StringRedisSerializer());
--
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