How to configure Springboot2 integrated druid encrypted database password
One: Environment
springboot 2.x
druid 1.1.21
Two: druid encrypted database password
Download the druid-1.1.21.jar package locally , run cmd, enter the command
java -cp jar包路径 com.alibaba.druid.filter.config.ConfigTools 数据库密码 java -cp druid-1.1.21.jar com.alibaba.druid.filter.config.ConfigTools 数据库密码
Successful operation output
privateKey:MIIBVAIBAD...
publicKey:MFwwDQYJKo...
password:PNd/zcG JEn. ..
Fill the obtained publicKey and password into the yml configuration file respectively
3: Single data source
Add dependencies
<dependency> <groupId>com.alibaba</groupId> <artifactId>druid-spring-boot-starter</artifactId> <version>1.1.21</version> </dependency>
yml configuration
spring: datasource: name: 名称 url: 地址 username: 用户名 password: 加密后的密码 driver-class-name: com.mysql.cj.jdbc.Driver # druid type: com.alibaba.druid.pool.DruidDataSource druid: #特别提示:配置数据库加密 config这个不能忘掉 filters: stat,wall,config use-global-data-source-stat: true # 开启解密config.decrypt=true; 公钥:config.decrypt.key connect-properties: druid.stat.mergeSql: true druid.stat.slowSqlMillis: 5000 druid.stat.logSlowSql: true config.decrypt: true config.decrypt.key: 公钥 # 连接池的配置信息 # 初始化大小,最小空闲连接数,最大活跃数 initial-size: 5 min-idle: 5 maxActive: 20 # 配置获取连接等待超时的时间 maxWait: 60000 # 配置间隔多久才进行一次检测,检测需要关闭的空闲连接,单位是毫秒 timeBetweenEvictionRunsMillis: 60000 # 配置一个连接在池中最小生存的时间,单位是毫秒 minEvictableIdleTimeMillis: 300000 validationQuery: SELECT 1 FROM DUAL testWhileIdle: true testOnBorrow: false testOnReturn: false # 打开PSCache,并且指定每个连接上PSCache的大小 poolPreparedStatements: true maxPoolPreparedStatementPerConnectionSize: 20
Four: Multiple data sources
Add dependencies
<dependency> <groupId>com.alibaba</groupId> <artifactId>druid-spring-boot-starter</artifactId> <version>1.1.21</version> </dependency>com.baomidou dynamic-datasource-spring-boot-starter 2.5.3
Startup class configuration
@SpringBootApplication(exclude = DruidDataSourceAutoConfigure.class)
eg:
ymlconfig
spring: datasource: dynamic: # 默认数据源 primary: CLOUD datasource: CLOUD: url: 数据库地址 username: 用户名 password: 加密后的密码 driver-class-name: com.mysql.cj.jdbc.Driver druid: public-key: 加密后的公钥 WAREHOUSE: driver-class-name: com.mysql.cj.jdbc.Driver url: 数据库地址 username: 用户名 password: 加密后的密码 druid: public-key: 加密后的公钥
The above is the detailed content of How to configure Springboot2 integrated druid encrypted database password. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

Introduction to Jasypt Jasypt is a java library that allows a developer to add basic encryption functionality to his/her project with minimal effort and does not require a deep understanding of how encryption works. High security for one-way and two-way encryption. , standards-based encryption technology. Encrypt passwords, text, numbers, binaries... Suitable for integration into Spring-based applications, open API, for use with any JCE provider... Add the following dependency: com.github.ulisesbocchiojasypt-spring-boot-starter2. 1.1Jasypt benefits protect our system security. Even if the code is leaked, the data source can be guaranteed.

1. Redis implements distributed lock principle and why distributed locks are needed. Before talking about distributed locks, it is necessary to explain why distributed locks are needed. The opposite of distributed locks is stand-alone locks. When we write multi-threaded programs, we avoid data problems caused by operating a shared variable at the same time. We usually use a lock to mutually exclude the shared variables to ensure the correctness of the shared variables. Its scope of use is in the same process. If there are multiple processes that need to operate a shared resource at the same time, how can they be mutually exclusive? Today's business applications are usually microservice architecture, which also means that one application will deploy multiple processes. If multiple processes need to modify the same row of records in MySQL, in order to avoid dirty data caused by out-of-order operations, distribution needs to be introduced at this time. The style is locked. Want to achieve points

Usage scenario 1. The order was placed successfully but the payment was not made within 30 minutes. The payment timed out and the order was automatically canceled. 2. The order was signed and no evaluation was conducted for 7 days after signing. If the order times out and is not evaluated, the system defaults to a positive rating. 3. The order is placed successfully. If the merchant does not receive the order for 5 minutes, the order is cancelled. 4. The delivery times out, and push SMS reminder... For scenarios with long delays and low real-time performance, we can Use task scheduling to perform regular polling processing. For example: xxl-job Today we will pick

Springboot reads the file, but cannot access the latest development after packaging it into a jar package. There is a situation where springboot cannot read the file after packaging it into a jar package. The reason is that after packaging, the virtual path of the file is invalid and can only be accessed through the stream. Read. The file is under resources publicvoidtest(){Listnames=newArrayList();InputStreamReaderread=null;try{ClassPathResourceresource=newClassPathResource("name.txt");Input

SpringBoot and SpringMVC are both commonly used frameworks in Java development, but there are some obvious differences between them. This article will explore the features and uses of these two frameworks and compare their differences. First, let's learn about SpringBoot. SpringBoot was developed by the Pivotal team to simplify the creation and deployment of applications based on the Spring framework. It provides a fast, lightweight way to build stand-alone, executable

1. Customize RedisTemplate1.1, RedisAPI default serialization mechanism. The API-based Redis cache implementation uses the RedisTemplate template for data caching operations. Here, open the RedisTemplate class and view the source code information of the class. publicclassRedisTemplateextendsRedisAccessorimplementsRedisOperations, BeanClassLoaderAware{//Declare key, Various serialization methods of value, the initial value is empty @NullableprivateRedisSe

When Springboot+Mybatis-plus does not use SQL statements to perform multi-table adding operations, the problems I encountered are decomposed by simulating thinking in the test environment: Create a BrandDTO object with parameters to simulate passing parameters to the background. We all know that it is extremely difficult to perform multi-table operations in Mybatis-plus. If you do not use tools such as Mybatis-plus-join, you can only configure the corresponding Mapper.xml file and configure The smelly and long ResultMap, and then write the corresponding sql statement. Although this method seems cumbersome, it is highly flexible and allows us to

In projects, some configuration information is often needed. This information may have different configurations in the test environment and the production environment, and may need to be modified later based on actual business conditions. We cannot hard-code these configurations in the code. It is best to write them in the configuration file. For example, you can write this information in the application.yml file. So, how to get or use this address in the code? There are 2 methods. Method 1: We can get the value corresponding to the key in the configuration file (application.yml) through the ${key} annotated with @Value. This method is suitable for situations where there are relatively few microservices. Method 2: In actual projects, When business is complicated, logic
