标签：pap 并且 identity cond containe artifact basename tar 测试
在Springboot出现之前配置数据源以及相关的事物，缓存等内容一直是个繁琐的工作，但是Springboot出现后这些基本都可以靠默认配置搞定，就变得很轻松了。这就是现在推崇模板>配置的原因，不过话说回来，如果你想配和模板不同，该繁琐的地方仍然一样繁琐，比如今天要讲的，在Springboot项目中配多数据源。接下来逐渐讲一下。
直接去Maven仓库搜最新的Druid和log4j，阿里的Druid强依赖log4j，却没加到Maven依赖中，实际上，不装log4j的话会报运行错误。同理Spring-boot-web，不过这个基本所有项目都有不特意强调了。
<!-- https://mvnrepository.com/artifact/com.alibaba/druid -->
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid</artifactId>
<version>1.1.9</version>
</dependency>
<!-- https://mvnrepository.com/artifact/log4j/log4j -->
<dependency>
<groupId>log4j</groupId>
<artifactId>log4j</artifactId>
<version>1.2.17</version>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>加入依赖后，我们需要以下几个步骤：
代码如下,以下代码省略getter，setter，一些具体问题参看代码中注释：
DruidDBConfig.java
@Configuration
@ConfigurationProperties("druid")
public class DruidDBConfig {
//此处替换成你自己的logger方案
private final Logger logger = LogSingleton.getLogSingleton().getLogger();
//这些变量在yml中配置
private String dbUrl1;
private String username1;
private String password1;
private String driverClassName1;
private String validationQuery1;
private String dbUrl2;
private String username2;
private String password2;
private String driverClassName2;
private String validationQuery2;
@Value("5")
private int initialSize;
@Value("5")
private int minIdle;
@Value("30")
private int maxActive;
/**
* 单位是毫秒
*/
@Value("60000")
private int maxWait;
/**
* 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
*/
@Value("60000")
private int timeBetweenEvictionRunsMillis;
/**
* 配置一个连接在池中最小生存的时间，单位是毫秒
*/
@Value("300000")
private int minEvictableIdleTimeMillis;
@Value("true")
private boolean testWhileIdle;
@Value("true")
private boolean testOnBorrow;
@Value("false")
private boolean testOnReturn;
/**
* 打开PSCache，并且指定每个连接上PSCache的大小
*/
@Value("true")
private boolean poolPreparedStatements;
@Value("50")
private int maxPoolPreparedStatementPerConnectionSize;
/**
* 配置监控统计拦截的filters，去掉后监控界面sql无法统计，‘wall‘用于防火墙
*/
@Value("stat,wall,log4j")
private String filters;
/**
* 通过connectProperties属性来打开mergeSql功能；慢SQL记录
*/
@Value("druid.stat.mergeSql=true;druid.stat.slowSqlMillis=500")
private String connectionProperties;
@Bean(name = "primaryDataSource")
@Qualifier("primaryDataSource")
@Primary
public DataSource primaryDataSource() {
return getDruidDataSource(username1, password1, dbUrl1, driverClassName1, validationQuery1);
}
@Bean(name = "secondaryDataSource")
@Qualifier("secondaryDataSource")
public DataSource secondaryDataSource() {
return getDruidDataSource(username2, password2, dbUrl2, driverClassName2, validationQuery2);
}
/*
/根据配置文件生成DruidDataSource
*/
private DruidDataSource getDruidDataSource(String username, String password, String url, String driverClassName, String validationQuery) {
DruidDataSource datasource = new DruidDataSource();
datasource.setUrl(url);
datasource.setUsername(username);
datasource.setPassword(password);
datasource.setDriverClassName(driverClassName);
//configuration
datasource.setInitialSize(initialSize);
datasource.setMinIdle(minIdle);
datasource.setMaxActive(maxActive);
datasource.setMaxWait(maxWait);
datasource.setTimeBetweenEvictionRunsMillis(timeBetweenEvictionRunsMillis);
datasource.setMinEvictableIdleTimeMillis(minEvictableIdleTimeMillis);
datasource.setValidationQuery(validationQuery);
datasource.setTestWhileIdle(testWhileIdle);
datasource.setTestOnBorrow(testOnBorrow);
datasource.setTestOnReturn(testOnReturn);
datasource.setPoolPreparedStatements(poolPreparedStatements);
datasource.setMaxPoolPreparedStatementPerConnectionSize(maxPoolPreparedStatementPerConnectionSize);
try {
datasource.setFilters(filters);
} catch (SQLException e) {
logger.severe("druid configuration initialization filter : " + e);
}
datasource.setConnectionProperties(connectionProperties);
return datasource;
}
}PrimaryConfig.java
@Configuration
@EnableTransactionManagement
@EnableJpaRepositories(
entityManagerFactoryRef = "entityManagerFactoryPrimary",
transactionManagerRef = "transactionManagerPrimary",
basePackages = {"com.XX.XX请替换为你的数据源1Repository目录"})
public class PrimaryConfig {
@Resource
@Qualifier("primaryDataSource")
private DataSource primaryDataSource;
@Primary
@Bean(name = "entityManagerPrimary")
public EntityManager entityManager(EntityManagerFactoryBuilder builder) {
return entityManagerFactoryPrimary(builder).getObject().createEntityManager();
}
@Resource
private JpaProperties jpaProperties;
private Map<String, Object> getVendorProperties() {
//在yml中配置Hibernate，因此此处仅需一个空的Hibernate设置。
return jpaProperties.getHibernateProperties(new HibernateSettings());
}
/**
* 设置实体类所在位置
*/
@Primary
@Bean(name = "entityManagerFactoryPrimary")
public LocalContainerEntityManagerFactoryBean entityManagerFactoryPrimary(EntityManagerFactoryBuilder builder) {
return builder
.dataSource(primaryDataSource)
.packages("com.XX.XX请替换为你的数据源1Entity目录")
.persistenceUnit("primaryPersistenceUnit")
.properties(getVendorProperties())
.build();
}
@Primary
@Bean(name = "transactionManagerPrimary")
public PlatformTransactionManager transactionManagerPrimary(EntityManagerFactoryBuilder builder) {
return new JpaTransactionManager(entityManagerFactoryPrimary(builder).getObject());
}
}SecondaryConfig.java
@Configuration
@EnableTransactionManagement
@EnableJpaRepositories(
entityManagerFactoryRef = "entityManagerFactorySecondary",
transactionManagerRef = "transactionManagerSecondary",
basePackages = {"com.XX.XX请替换为你的数据源2Repository目录"})
public class SecondaryConfig {
@Resource
@Qualifier("secondaryDataSource")
private DataSource secondaryDataSource;
@Bean(name = "entityManagerSecondary")
public EntityManager entityManager(EntityManagerFactoryBuilder builder) {
return entityManagerFactorySecondary(builder).getObject().createEntityManager();
}
@Resource
private JpaProperties jpaProperties;
private Map<String, Object> getVendorProperties() {
//在yml中配置Hibernate，因此此处仅需一个空的Hibernate设置。
return jpaProperties.getHibernateProperties(new HibernateSettings());
}
@Bean(name = "entityManagerFactorySecondary")
public LocalContainerEntityManagerFactoryBean entityManagerFactorySecondary(EntityManagerFactoryBuilder builder) {
return builder
.dataSource(secondaryDataSource)
.packages("com.XX.XX请替换为你的数据源2Entity目录")
.persistenceUnit("secondaryPersistenceUnit")
.properties(getVendorProperties())
.build();
}
@Bean(name = "transactionManagerSecondary")
PlatformTransactionManager transactionManagerSecondary(EntityManagerFactoryBuilder builder) {
return new JpaTransactionManager(entityManagerFactorySecondary(builder).getObject());
}
}之后配置yml，注入在DruidDBConfig中未设置的值：
druid:
# 第一个数据源的配置
driverClassName1: com.microsoft.sqlserver.jdbc.SQLServerDriver
dbUrl1: jdbc:sqlserver://XXX;databaseName=XXX
username1: sa
password1: 123456
# 测试连通，必须是单条的可顺利执行的SQL语句。
validationQuery1: select 1
# 第二个数据源的配置
driverClassName2: com.microsoft.sqlserver.jdbc.SQLServerDriver
dbUrl2: jdbc:sqlserver://YYY;databaseName=YYY
username2: sa
password2: 123456
# 测试连通，必须是单条的可顺利执行的SQL语句。
validationQuery2: select 1
spring:
# hibernate配置
jpa:
database: sql_server
generate-ddl: true
show-sql: true
hibernate:
ddl-auto: update
naming:
physical-strategy: org.springframework.boot.orm.jpa.hibernate.SpringPhysicalNamingStrategy一定要加log4j依赖
Entity的主键自增策略要从@GeneratedValue改为@GeneratedValue(strategy=GeneratedType.IDENTITY)，因为默认方法在Druid下无法工作。
在Springboot2.0项目中使用Druid配置多数据源
标签：pap 并且 identity cond containe artifact basename tar 测试
原文地址：https://www.cnblogs.com/cielosun/p/9075001.html
