SpringBoot整合Druid連線池,Caused by: java.lang.ClassNotFoundException: org.apache.log4j
阿新 • • 發佈:2018-11-10
github:https://github.com/alibaba/druid
SpringBoot版本:1.5.9.RELEASE 預設使用的日誌框架為log4j2
在配置 Druid 資料監控時,進行了如下配置
# 配置監控統計攔截的filters,去掉後監控介面sql將無法統計,'wall'用於防火牆
spring.datascoure.filters= stat, wall,log4j
filters: stat,wall,log4j
- stat:Druid內建提供一個StatFilter,用於統計監控資訊。如果需要配置訪問頁面可以參考,https://github.com/alibaba/druid/wiki/%E9%85%8D%E7%BD%AE_StatViewServlet%E9%85%8D%E7%BD%AE
- wall:Druid防禦SQL注入攻擊的WallFilter就是通過Druid的SQL Parser分析。Druid提供的SQL Parser可以在JDBC層攔截SQL做相應處理,比如說分庫分表、審計等。
- log4j:日誌記錄的功能,可以把sql語句列印到log4j2。
如上配置的使用log4j進行日誌輸入,而springboot框架使用的是log4j2,所以可將上面的log4j修改為log4j2,如下:
# 配置監控統計攔截的filters,去掉後監控介面sql將無法統計,'wall'用於防火牆 spring.datascoure.filters= stat, wall,log4j2
備註:如果沒有配置filters的話,存在監控見面中的SQL監控沒有資料的情況。因此需要新增如下配置:使其起作用後,才會報如上的錯誤。
package com.consmation.iwebmapserver.projectserver.config; import com.alibaba.druid.pool.DruidDataSource; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import org.springframework.beans.factory.annotation.Value; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration; import org.springframework.context.annotation.Primary; import javax.sql.DataSource; import java.sql.SQLException; @Configuration @ConfigurationProperties(prefix="spring.datasources") public class DruidDBConfig { private static Logger logger = LoggerFactory.getLogger(DruidDBConfig.class); @Value("${spring.datasource.url}") private String dbUrl; @Value("${spring.datasource.username}") private String username; @Value("${spring.datasource.password}") private String password; @Value("${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; @Bean //宣告其為Bean例項 @Primary //在同樣的DataSource中,首先使用被標註的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); try { datasource.setFilters(filters); } catch (SQLException e) { logger.error("druid configuration initialization filter", e); } datasource.setConnectionProperties(connectionProperties); return datasource; } }