参考网页
https://blog.youkuaiyun.com/mrczr/article/details/78903468
https://blog.youkuaiyun.com/yhl_jxy/article/details/78645010
涉及的技术栈
SpringBoot、MyBatis、Druid。
解决--Druid配置类源代码
import java.sql.SQLException;
import java.util.ArrayList;
import java.util.List;
import javax.sql.DataSource;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.DependsOn;
import org.springframework.context.annotation.Primary;
import com.alibaba.druid.filter.Filter;
import com.alibaba.druid.pool.DruidDataSource;
import com.alibaba.druid.wall.WallConfig;
import com.alibaba.druid.wall.WallFilter;
/**
*
* 描述:如果不使用代码手动初始化DataSource的话,监控界面的SQL监控会没有数据("是spring boot的bug???")
*
* @author chhliu 创建时间:2017年2月9日 下午10:33:08
* @version 1.2.0
*/
@Configuration
public class DruidConfiguration {
@Value("${spring.datasource.url}")
private String dbUrl;
@Value("${spring.datasource.username}")
private String username;
@Value("${spring.datasource.password}")
private String password;
// @Value("${spring.datasource.driverClassName}")
@Value("${spring.datasource.driver-class-name}")
private String driverClassName;
@Value("${spring.datasource.initialSize}")
private int initialSize;
@Value("${spring.datasource.minIdle}")
private int minIdle;
@Value("${spring.datasource.maxActive}")
private int maxActive;
@Value("${spring.datasource.maxWait}")
private int maxWait;
@Value("${spring.datasource.timeBetweenEvictionRunsMillis}")
private int timeBetweenEvictionRunsMillis;
@Value("${spring.datasource.minEvictableIdleTimeMillis}")
private int minEvictableIdleTimeMillis;
@Value("${spring.datasource.validationQuery}")
private String validationQuery;
@Value("${spring.datasource.testWhileIdle}")
private boolean testWhileIdle;
@Value("${spring.datasource.testOnBorrow}")
private boolean testOnBorrow;
@Value("${spring.datasource.testOnReturn}")
private boolean testOnReturn;
@Value("${spring.datasource.poolPreparedStatements}")
private boolean poolPreparedStatements;
@Value("${spring.datasource.maxPoolPreparedStatementPerConnectionSize}")
private int maxPoolPreparedStatementPerConnectionSize;
@Value("${spring.datasource.filters}")
private String filters;
@Value("${spring.datasource.connectionProperties}")
private String connectionProperties;
@Value("${spring.datasource.useGlobalDataSourceStat}")
private boolean useGlobalDataSourceStat;
@Autowired
WallFilter wallFilter;
@Bean
// 声明其为Bean实例
@Primary
// 在同样的DataSource中,首先使用被标注的DataSource
public DataSource dataSource() {
DruidDataSource datasource = new DruidDataSource();
datasource.setUrl(this.dbUrl);
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);
datasource.setUseGlobalDataSourceStat(useGlobalDataSourceStat);
try {
datasource.setFilters(filters);
} catch (SQLException e) {
System.err.println("druid configuration initialization filter: "
+ e);
}
datasource.setConnectionProperties(connectionProperties);
// filter
List<Filter> filterList = new ArrayList<Filter>();
//在设置之前先判断是都已经存在WallConfig,如果有,直接将现有的替换掉
List<Filter> filters = datasource.getProxyFilters();
boolean isExist = false;
for(Filter filter:filters){
if(filter instanceof WallFilter){
((WallFilter)filter).setConfig(wallConfig());
isExist = true;
}
}
if(!isExist){
filterList.add(wallFilter);
datasource.setProxyFilters(filterList);
}
return datasource;
}
@Bean(name = "wallFilter")
@DependsOn("wallConfig")
public WallFilter wallFilter(WallConfig wallConfig) {
WallFilter wallFilter = new WallFilter();
wallFilter.setConfig(wallConfig);
return wallFilter;
}
@Bean(name = "wallConfig")
public WallConfig wallConfig() {
WallConfig wallConfig = new WallConfig();
wallConfig.setMultiStatementAllow(true);// 允许一次执行多条语句
wallConfig.setNoneBaseStatementAllow(true);// 允许一次执行多条语句
return wallConfig;
}
}
重点代码
//在设置之前先判断是都已经存在WallConfig,如果有,直接将现有的替换掉
List<Filter> filters = datasource.getProxyFilters();
boolean isExist = false;
for(Filter filter:filters){
if(filter instanceof WallFilter){
((WallFilter)filter).setConfig(wallConfig());
isExist = true;
}
}
if(!isExist){
filterList.add(wallFilter);
datasource.setProxyFilters(filterList);
}
描述
需要判断WallConfig是否已存在。WallConfig不存在时可直接如下操作:
filterList.add(wallFilter);
datasource.setProxyFilters(filterList);
已存在的情况下则需要替换之前的WallConfig。