druid1.2.0

This commit is contained in:
Raod
2024-12-29 22:21:26 +08:00
parent f9a6d42aac
commit 11f50581a8
4 changed files with 177 additions and 18 deletions

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@@ -111,6 +111,11 @@
<artifactId>mysql-connector-java</artifactId>
<version>8.0.28</version>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid</artifactId>
<version>1.2.0</version>
</dependency>
<dependency>
<groupId>org.flywaydb</groupId>
<artifactId>flyway-core</artifactId>

View File

@@ -0,0 +1,129 @@
package com.anjiplus.template.gaea.business.config;
import com.alibaba.druid.pool.DruidDataSource;
import com.anji.plus.gaea.exception.BusinessExceptionBuilder;
import lombok.Data;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.stereotype.Component;
/**
* Created by raod on 2024/10/21.
*/
@Component
@ConfigurationProperties(prefix = "spring.druid")
@Data
public class DruidProperties {
private static final Logger log = LoggerFactory.getLogger(DruidProperties.class);
/**
* 初始化时建立物理连接的个数。初始化发生在显示调用init方法或者第一次getConnection时
*/
private int initialSize;
/**
* 最小连接池数量
*/
private int minIdle;
/**
* 最大连接池数量
*/
private int maxActive;
/**
* 获取连接时最大等待时间单位毫秒。配置了maxWait之后缺省启用公平锁并发效率会有所下降如果需要可以通过配置
*/
private int maxWait;
/**
* 关闭空闲连接的检测时间间隔.Destroy线程会检测连接的间隔时间如果连接空闲时间大于等于minEvictableIdleTimeMillis则关闭物理连接。
*/
private int timeBetweenEvictionRunsMillis;
/**
* 连接的最小生存时间.连接保持空闲而不被驱逐的最小时间
*/
private int minEvictableIdleTimeMillis;
private String validationQuery;
/**
* 申请连接时检测空闲时间,根据空闲时间再检测连接是否有效.建议配置为true不影响性能并且保证安全性。申请连接的时候检测如果空闲时间大于timeBetweenEvictionRun
*/
private boolean testWhileIdle;
private boolean testOnBorrow;
private boolean testOnReturn;
/**
* 开启PSCache
*/
private boolean poolPreparedStatements;
/**
* 设置PSCache值
*/
private int maxPoolPreparedStatementPerConnectionSize;
private String filters;
private String connectionProperties;
private boolean useGlobalDataSourceStat;
private boolean statViewServletEnabled;
/**
* 连接出错后再尝试连接三次
*/
private int connectionErrorRetryAttempts;
/**
* 数据库服务宕机自动重连机制
*/
private boolean breakAfterAcquireFailure;
/**
* 连接出错后重试时间间隔
*/
private int timeBetweenConnectErrorMillis;
public DruidDataSource dataSource(String url, String username, String password, String driverClassName){
try {
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);
if (driverClassName.contains("oracle")) {
datasource.setValidationQuery(validationQuery + " FROM DUAL");
}else {
datasource.setValidationQuery(validationQuery);
}
datasource.setTestWhileIdle(testWhileIdle);
datasource.setTestOnBorrow(testOnBorrow);
datasource.setTestOnReturn(testOnReturn);
datasource.setPoolPreparedStatements(poolPreparedStatements);
datasource.setMaxPoolPreparedStatementPerConnectionSize(maxPoolPreparedStatementPerConnectionSize);
datasource.setFilters(filters);
datasource.setConnectionProperties(connectionProperties);
datasource.setUseGlobalDataSourceStat(useGlobalDataSourceStat);
datasource.setConnectionErrorRetryAttempts(connectionErrorRetryAttempts);
datasource.setBreakAfterAcquireFailure(breakAfterAcquireFailure);
datasource.setTimeBetweenConnectErrorMillis(timeBetweenConnectErrorMillis);
return datasource;
} catch (Exception e) {
log.error("初始化数据源失败:", e);
throw BusinessExceptionBuilder.build("初始化数据源失败:" + e.getMessage());
}
}
}

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@@ -1,9 +1,9 @@
package com.anjiplus.template.gaea.business.modules.datasource.service.impl;
import com.anjiplus.template.gaea.business.config.HikariPoolProperties;
import com.alibaba.druid.pool.DruidDataSource;
import com.anjiplus.template.gaea.business.config.DruidProperties;
import com.anjiplus.template.gaea.business.modules.datasource.controller.dto.DataSourceDto;
import com.anjiplus.template.gaea.business.modules.datasource.service.JdbcService;
import com.zaxxer.hikari.pool.HikariPool;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
@@ -21,22 +21,22 @@ import java.util.concurrent.ConcurrentHashMap;
public class JdbcServiceImpl implements JdbcService {
@Autowired
private HikariPoolProperties hikariPoolProperties;
private DruidProperties druidProperties;
/**
* 所有数据源的连接池存在map里
*/
private Map<Long, HikariPool> map = new ConcurrentHashMap<>();
private Map<Long, DruidDataSource> map = new ConcurrentHashMap<>();
private Object lock = new Object();
public HikariPool getJdbcConnectionPool(DataSourceDto dataSource) {
public DruidDataSource getJdbcConnectionPool(DataSourceDto dataSource) {
if (map.containsKey(dataSource.getId())) {
return map.get(dataSource.getId());
} else {
try {
synchronized (lock) {
if (!map.containsKey(dataSource.getId())) {
HikariPool pool = hikariPoolProperties.dataSource(dataSource.getJdbcUrl(),
DruidDataSource pool = druidProperties.dataSource(dataSource.getJdbcUrl(),
dataSource.getUsername(), dataSource.getPassword(), dataSource.getDriverName());
map.put(dataSource.getId(), pool);
log.info("创建连接池成功:{}", dataSource.getJdbcUrl());
@@ -57,7 +57,7 @@ public class JdbcServiceImpl implements JdbcService {
@Override
public void removeJdbcConnectionPool(Long id) {
try {
HikariPool pool = map.get(id);
DruidDataSource pool = map.get(id);
if (pool != null) {
log.info("remove pool success, datasourceId:{}", id);
map.remove(id);
@@ -77,7 +77,7 @@ public class JdbcServiceImpl implements JdbcService {
*/
@Override
public Connection getPooledConnection(DataSourceDto dataSource) throws SQLException{
HikariPool pool = getJdbcConnectionPool(dataSource);
DruidDataSource pool = getJdbcConnectionPool(dataSource);
return pool.getConnection();
}
@@ -91,7 +91,7 @@ public class JdbcServiceImpl implements JdbcService {
*/
@Override
public Connection getUnPooledConnection(DataSourceDto dataSource) throws SQLException {
HikariPool druidDataSource = hikariPoolProperties.dataSource(dataSource.getJdbcUrl(),
DruidDataSource druidDataSource = druidProperties.dataSource(dataSource.getJdbcUrl(),
dataSource.getUsername(), dataSource.getPassword(), dataSource.getDriverName());
return druidDataSource.getConnection();
}

View File

@@ -23,14 +23,39 @@ spring:
url: jdbc:mysql://10.108.26.197:3306/aj_report?characterEncoding=UTF-8&serverTimezone=Asia/Shanghai&useSSL=false
username: root
password: appuser@anji
type: com.zaxxer.hikari.HikariDataSource
hikari:
connection-timeout: 300000 # 连接超时时间 - 默认值30秒。
validation-timeout: 5000 # 连接被测试活动的最长时间 - 默认值5秒。
idle-timeout: 60000 # 连接池中允许闲置的最长时间 - 默认值10分钟
max-lifetime: 1800000 # 一个连接生命时长(毫秒),超时而没被使用则被释放 - 默认值30分钟
maximum-pool-size: 10 #连接池中允许的最大连接数,包括闲置和使用中的连接 - 默认值10
minimum-idle: 5 # 连接池中允许的最小空闲连接数 - 默认值10。
driver-class-name: com.mysql.cj.jdbc.Driver
type: com.alibaba.druid.pool.DruidDataSource
#数据源连接池配置
druid:
initial-size: 50
min-idle: 50
max-active: 100
# 获取连接等待超时的时间
max-wait: 5000
# 配置间隔多久才进行一次检测
time-between-eviction-runs-millis: 60000
# 配置一个连接在池中最小生存时间
min-evictable-idle-time-millis: 300000
validation-query: select 1
# 获取连接时执行检测每次检测timeBetweenEvictionRunsMillis空闲时间超过了minEvictableIdleTimeMillis则会直接剔除
test-while-idle: true
test-on-borrow: false
test-on-return: false
# 是否开启PSCachePSCache对支持游标的数据库性能提升巨大oracle建议开启mysql下建议关闭
pool-prepared-statements: false
max-pool-prepared-statement-per-connection-size: 50
filters: stat,wall
connection-properties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=500
use-global-data-source-stat: true
#StatViewServlet配置
stat-view-servlet.enabled: false
#注意:账号密码需修改
stat-view-servlet.login-username: admin
stat-view-servlet.login-password: admin
stat-view-servlet.allow: ""
connectionErrorRetryAttempts: 3 # 连接出错后再尝试连接三次
breakAfterAcquireFailure: true # 数据库服务宕机自动重连机制
timeBetweenConnectErrorMillis: 300000 # 连接出错后重试时间间隔
#如果要使用redis请参考report-core目录下的README.md文件中写的进行调整
# redis:
@@ -39,7 +64,7 @@ spring:
# password: root
# database: 1
flyway:
enabled: true #是否开启flyway默认true.
enabled: false #是否开启flyway自动执行sql脚本默认false
baseline-on-migrate: true
#数据库连接配置
url: ${spring.datasource.url}