Spring boot · 链接池配置
本文节选自《Netkiller Java 手札》
http://www.netkiller.cn/java/spring/boot/index.html
10.16. Connection and Statement Pooling
注意：下面的实例仅限 Spring boot 1.3.0.RELEASE
10.16.1. org.apache.tomcat.jdbc.pool.DataSource
默认连接池，可以忽略配置
spring.datasource.type = org.apache.tomcat.jdbc.pool.DataSource 10.16.2. druid
pom.xml
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid</artifactId>
<version>1.0.24</version>
</dependency> application.properties
spring.datasource.type=com.alibaba.druid.pool.DruidDataSource
spring.datasource.initialSize=5
spring.datasource.minIdle=5
spring.datasource.maxActive=20
spring.datasource.maxWait=60000
spring.datasource.timeBetweenEvictionRunsMillis=60000
spring.datasource.minEvictableIdleTimeMillis=300000
spring.datasource.validationQuery=SELECT 1 FROM DUAL
spring.datasource.testWhileIdle=true
spring.datasource.testOnBorrow=false
spring.datasource.testOnReturn=false
spring.datasource.poolPreparedStatements=true
spring.datasource.maxPoolPreparedStatementPerConnectionSize=20
spring.datasource.filters=stat,wall,log4j
spring.datasource.connectionProperties=druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
#spring.datasource.useGlobalDataSourceStat=true
spring.datasource.driver-class-name=com.mysql.jdbc.Driver
spring.datasource.url=jdbc:mysql://192.168.6.1:3306/test
spring.datasource.username=inf
spring.datasource.password=inf
spring.jpa.database=MYSQL 10.16.3. c3p0 - JDBC3 Connection and Statement Pooling
pom.xml
<dependency>
<groupId>org.hibernate</groupId>
<artifactId>hibernate-c3p0</artifactId>
<version>4.3.6.Final</version>
</dependency>
<dependency>
<groupId>c3p0</groupId>
<artifactId>c3p0</artifactId>
<version>0.9.1.2</version>
</dependency> application.properties
spring.datasource.type=com.mchange.v2.c3p0.ComboPooledDataSource 10.16.4. dbcp2
spring.datasource.type = org.apache.commons.dbcp2.BasicDataSource 10.16.5. bonecp
spring.datasource.type = com.jolbox.bonecp.BoneCPDataSource 10.16.6. dbcp2
spring.datasource.type = org.apache.commons.dbcp2.BasicDataSource 本文参与 腾讯云自媒体同步曝光计划，分享自微信公众号。
原始发表：2016-09-03，如有侵权请联系 cloudcommunity@tencent.com 删除
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