How to configure data connection Pool in druid

This article is about how to configure data connection pool in druid. The editor thinks it is very practical, so I share it with you. I hope you can get something after reading this article. Let's take a look at it.

Springboot project pom.xml druid part com.alibaba druid-spring-boot-starter 1.1.21 application.xml druid part spring: # Integration database layer datasource: driver-class-name: com.mysql.cj.jdbc.Driver name: demo url: jdbc:mysql: / / 127.0.0.1:3306/test?allowMultiQueries=true&useUnicode=true&characterEncoding=UTF-8&serverTimezone=Asia/Shanghai username: root password: 123456 type: com.alibaba.druid.pool.DruidDataSource druid: # initial number of connections initialSize: 5 # minimum number of connection pools minIdle: 10 # maximum number of connection pools maxActive: 20 # configuration to obtain connection wait timeout MaxWait: 60000 # configure how often the test is performed. Detect idle connections that need to be closed in milliseconds timeBetweenEvictionRunsMillis: 60000 # configure the minimum survival time of a connection in the pool, in milliseconds minEvictableIdleTimeMillis: 300000 # configure the maximum survival time of a connection in the pool Unit: millisecond maxEvictableIdleTimeMillis: 900000 # configure to detect whether the connection is valid validationQuery: SELECT 1 FROM DUAL testWhileIdle: true testOnBorrow: false testOnReturn: false webStatFilter: enabled: true statViewServlet: enabled: true # set whitelist If left empty, all access to allow: url-pattern: / druid/* # console management username and password login-username: easy login-password: 1 filter: stat: enabled: true # slow SQL record log-slow-sql: true slow-sql-millis: 20000 merge- Sql: true wall: config: multi-statement-allow: trueDruidDataSourceDecorator.java reads yaml configuration Modify DataSource@Configuration@ConfigurationProperties (prefix = "spring.datasource.druid") public class DruidDataSourceDecorator {/ / read Druid configuration / / initial number of connections private int initialSize / / minimum number of connection pools private int minIdle; / / maximum number of connection pools private int maxActive; / / configure the time to get the connection wait for timeout private int maxWait; / / configure how often does it take to detect idle connections that need to be closed, in millisecond private int timeBetweenEvictionRunsMillis / / configure the minimum survival time of a connection in the pool, in milliseconds private int minEvictableIdleTimeMillis; / / configure the maximum survival time of a connection in the pool, in milliseconds private int maxEvictableIdleTimeMillis; / / configure to detect whether the connection is valid private String validationQuery; / / private boolean testWhileIdle; / / private boolean testOnBorrow / / private boolean testOnReturn; omits set, get... Public DruidDataSource decorat (DruidDataSource source) {/ * * configure initialization size, minimum, maximum * / source.setInitialSize (initialSize); source.setMaxActive (maxActive); source.setMinIdle (minIdle); / * * configure the time to get connection wait timeout * / source.setMaxWait (maxWait) / * * configure how often to detect idle connections that need to be closed in milliseconds * / source.setTimeBetweenEvictionRunsMillis (timeBetweenEvictionRunsMillis); / * * configure the minimum and maximum survival time of a connection in the pool, in milliseconds * / source.setMinEvictableIdleTimeMillis (minEvictableIdleTimeMillis); source.setMaxEvictableIdleTimeMillis (maxEvictableIdleTimeMillis) The sql used to check whether the connection is valid is required to be a query statement, which is commonly used as select *'x'. If validationQuery is null,testOnBorrow, testOnReturn, testWhileIdle will not work. * / source.setValidationQuery (validationQuery); / * it is recommended to configure it as true, which does not affect performance and ensures security. When applying for a connection, it is tested that if the idle time is greater than timeBetweenEvictionRunsMillis, validationQuery is performed to check whether the connection is valid. * / source.setTestWhileIdle (testWhileIdle); / * * perform validationQuery to check whether the connection is valid when applying for a connection. This configuration will degrade the performance. * / source.setTestOnBorrow (testOnBorrow); / * * perform validationQuery to check whether the connection is valid when returning the connection. This configuration will degrade the performance. * / source.setTestOnReturn (testOnReturn); return source;}} DataSourceConfig.java data source configuration @ Configurationpublic class DataSourceConfig {/ / embellished DataSource @ Autowired private DruidDataSourceDecorator decorator @ Bean @ Primary @ ConfigurationProperties (prefix = "spring.datasource") DataSource dataSource () {DruidDataSource dataSource = DruidDataSourceBuilder.create () .build (); return decorator.decorat (dataSource) }} mybaties configuration @ Configuration@MapperScan (basePackages = "com.xxx.mapper", sqlSessionTemplateRef = "sqlSessionTemplate") public class HySessionFactory {@ Resource (name = "dataSource") DataSource dataSource; SqlSessionFactory hySqlSessionFactory () {SqlSessionFactory sessionFactory = null; try {SqlSessionFactoryBean bean = new SqlSessionFactoryBean (); bean.setDataSource (dataSource) / / scanned XML bean.setMapperLocations (new PathMatchingResourcePatternResolver () .getResources ("classpath*:mapper/*.xml")); sessionFactory = bean.getObject ();} catch (Exception e) {e.printStackTrace () } return sessionFactory;} @ Bean SqlSessionTemplate sqlSessionTemplate () {return new SqlSessionTemplate (sqlSessionFactory ());}} above is how to configure data connection pool in druid. 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