1、简介
最近打算搭建一个鉴权中心服务,采用springboot+FastMybatis装配Druid,考虑后续拓展采用Druid多数据源配置,以一个数据源为主,多个动态数据源为辅的结构。除了数据库,后续会结合shiro安全框架来搭建。
2、引用
在pom.xml添加框架Springboot +FastMybatis + Druid相关maven引用。
<dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-web</artifactId></dependency><dependency><groupId>net.oschina.durcframework</groupId><artifactId>fastmybatis-spring-boot-starter</artifactId><version>${fastmybatis.version}</version></dependency><dependency><groupId>com.alibaba</groupId><artifactId>druid-spring-boot-starter</artifactId><version>${druid.version}</version></dependency><dependency><groupId>org.apache.shiro</groupId><artifactId>shiro-core</artifactId><version>${shiro.version}</version></dependency><dependency><groupId>org.apache.shiro</groupId><artifactId>shiro-spring</artifactId><version>${shiro.version}</version></dependency>
3、数据源队列
我们采用的是一个数据源为主,多个动态数据源为辅的结构,在后续添加新的数据源,我们只要调整新数据源配置就可以了,不用再改原来结构。所以我们要有自己的数据源队列来存储动态的数据源。
/**
* 多数据源队列
*
* @author lisk
*/
public class DynamicContextUtils {
private static final ThreadLocal<Deque<String>> CONTEXT = new ThreadLocal(){
@Override
protected Object initialValue(){return new ArrayDeque();}};
/**
* 获得当前线程数据源
*
* @return 数据源名称
*/
public static String peek(){return CONTEXT.get().peek();}
/**
* 设置当前线程数据源
*
* @param dataSource 数据源名称
*/
public static void push(String dataSource){
CONTEXT.get().push(dataSource);}
/**
* 清空当前线程数据源
*/
public static void poll(){
Deque<String> deque = CONTEXT.get();
deque.poll();if(deque.isEmpty()){
CONTEXT.remove();}}}
4、数据源切面
首先我们要添加自己的annotion,并可以切面中可以拦截并加载动态数据源。
@Target({ElementType.METHOD, ElementType.TYPE})
@Retention(RetentionPolicy.RUNTIME)
@Documented
@Inherited
public @interface DataSource {
String value() default "";}
现在我们在切面中拦截自己添加的annotion,然后通过@Aspect添加到我们定义的数据源队列中。
@Aspect
@Component
@Order(Ordered.HIGHEST_PRECEDENCE)
public class DataSourceAspect {
protected Logger logger = LoggerFactory.getLogger(DataSourceAspect.class);
@Pointcut("@annotation(com.xhl.lk.auth2.datasource.annotation.DataSource)" +
"|| @within(com.xhl.lk.auth2.datasource.annotation.DataSource)")
public void dataSourcePointCut(){}
@Around("dataSourcePointCut()")
public Object around(@NotNull ProceedingJoinPoint point) throws Throwable{
MethodSignature signature =(MethodSignature) point.getSignature();
Class targetClass = point.getTarget().getClass();
Method method = signature.getMethod();
DataSource targetDataSource =(DataSource) targetClass.getAnnotation(DataSource.class);
DataSource methodDataSource = method.getAnnotation(DataSource.class);
if(Objects.nonNull(targetDataSource)|| Objects.nonNull(methodDataSource)){
String value = Objects.nonNull(methodDataSource) ? methodDataSource.value(): targetDataSource.value();
DynamicContextUtils.push(value);
logger.debug("set datasource is {}", value);}
try{return point.proceed();}finally {
DynamicContextUtils.poll();
logger.info("clean datasource");}}}
5、数据源属性
添加Druid主数据源和动态数据源参数映射类,以便可以通过映射来调整和链接数据库。
/**
* 多数据源属性
*
* @author lisk
*/
@Data
public class DataSourceProperty {
private String driverClassName;
private String url;
private String username;
private String password;
/**
* Druid默认参数
*/
private int initialSize =2;
private int maxActive =10;
private int minIdle = -1;
private long maxWait =60 * 1000L;
private long timeBetweenEvictionRunsMillis =60 * 1000L;
private long minEvictableIdleTimeMillis = 1000L * 60L * 30L;
private long maxEvictableIdleTimeMillis = 1000L * 60L * 60L * 7;
private String validationQuery ="select 1";
private int validationQueryTimeout = -1;
private boolean testOnBorrow =false;
private boolean testOnReturn =false;
private boolean testWhileIdle =true;
private boolean poolPreparedStatements =false;
private int maxOpenPreparedStatements = -1;
private boolean sharePreparedStatements =false;
private String filters ="stat,wall";}
动态数据源属性以当前主数据源为主,从队列中获取。通过@ConfigurationProperties来标识动态数据源前缀。
@Data
@ConfigurationProperties(prefix ="dynamic")
public class DynamicDataSourceProperty {
private Map<String, DataSourceProperty> datasource = new LinkedHashMap<>();}
我们在配置文件application.yml定义多个数据源配置:
spring:
datasource:
type: com.alibaba.druid.pool.DruidDataSource
druid:
driver-class-name: com.mysql.cj.jdbc.Driver
url: jdbc:mysql://192.168.254.128:3306/sys_xhl?useUnicode=true&characterEncoding=UTF-8&useSSL=false&serverTimezone=Asia/Shanghai
username: shdxhl
password: shdxhl
initial-size: 10
max-active: 100
min-idle: 10
max-wait: 60000
pool-prepared-statements: true
max-pool-prepared-statement-per-connection-size: 20
time-between-eviction-runs-millis: 60000
min-evictable-idle-time-millis: 300000#Oracle需要打开注释#validation-query: SELECT 1 FROM DUAL#spring.datasource.druid.test-on-borrow=true#spring.datasource.druid.test-while-idle=true
test-while-idle: true
test-on-borrow: true
test-on-return: false
stat-view-servlet:
enabled: true
url-pattern: /druid/*
#login-username: admin#login-password: admin
filter:
stat:
log-slow-sql: true
slow-sql-millis: 1000
merge-sql: false
wall:
config:
multi-statement-allow: true##多数据源的配置
dynamic:
datasource:
slave1:
driver-class-name: com.mysql.cj.jdbc.Driver
url: jdbc:mysql://192.168.254.128:3306/blog_weike?useUnicode=true&characterEncoding=UTF-8&useSSL=false&serverTimezone=Asia/Shanghai
username: blog
password: wiloveyou
# slave2:# driver-class-name: org.postgresql.Driver# url: jdbc:postgresql://localhost:5432/renren_security# username: renren# password: 123456
6、Config初始化
在@Configuration中实现主数据源和多个动态数据源数据链接初始化,同时通过继承AbstractRoutingDataSource来实现动态数据源切换。
//通过重载determineCurrentLookupKey 来获取切换的数据源Key。
public class DynamicDataSource extends AbstractRoutingDataSource {
@Override
protected Object determineCurrentLookupKey(){return DynamicContextUtils.peek();}}
创建一个Dynamic数据源的Factory来实现动态数据源参数映射和Druid数据源初始化:
public class DynamicDataSourceFactory {
protected static Logger logger = LoggerFactory.getLogger(DynamicDataSourceFactory.class);
//build动态数据源,初始化
public static DruidDataSource buildDruidDataSource(DataSourceProperty properties){
DruidDataSource druidDataSource = new DruidDataSource();
druidDataSource.setDriverClassName(properties.getDriverClassName());
druidDataSource.setUrl(properties.getUrl());
druidDataSource.setUsername(properties.getUsername());
druidDataSource.setPassword(properties.getPassword());
druidDataSource.setInitialSize(properties.getInitialSize());
druidDataSource.setMaxActive(properties.getMaxActive());
druidDataSource.setMinIdle(properties.getMinIdle());
druidDataSource.setMaxWait(properties.getMaxWait());
druidDataSource.setTimeBetweenEvictionRunsMillis(properties.getTimeBetweenEvictionRunsMillis());
druidDataSource.setMinEvictableIdleTimeMillis(properties.getMinEvictableIdleTimeMillis());
druidDataSource.setMaxEvictableIdleTimeMillis(properties.getMaxEvictableIdleTimeMillis());
druidDataSource.setValidationQuery(properties.getValidationQuery());
druidDataSource.setValidationQueryTimeout(properties.getValidationQueryTimeout());
druidDataSource.setTestOnBorrow(properties.isTestOnBorrow());
druidDataSource.setTestOnReturn(properties.isTestOnReturn());
druidDataSource.setPoolPreparedStatements(properties.isPoolPreparedStatements());
druidDataSource.setMaxOpenPreparedStatements(properties.getMaxOpenPreparedStatements());
druidDataSource.setSharePreparedStatements(properties.isSharePreparedStatements());
try {
druidDataSource.setFilters(properties.getFilters());
druidDataSource.init();} catch (SQLException e){
logger.error("DynamicDataSourceFactory is error:" + e.toString());}return druidDataSource;}}
最后我们在@Configuration添加多个数据源对象bean实例:
@Configuration
@EnableConfigurationProperties(DynamicDataSourceProperty.class)
public class DynamicDataSourceConfig {
@Autowired
private DynamicDataSourceProperty properties;
@Bean
@ConfigurationProperties(prefix ="spring.datasource.druid")
public DataSourceProperty dataSourceProperty(){return new DataSourceProperty();}
@Bean
public DynamicDataSource dynamicDataSource(DataSourceProperty dataSourceProperty){
DynamicDataSource dynamicDataSource = new DynamicDataSource();
dynamicDataSource.setTargetDataSources(getDynamicDataSource());
//默认数据源
DruidDataSource defaultDataSource = DynamicDataSourceFactory.buildDruidDataSource(dataSourceProperty);
dynamicDataSource.setDefaultTargetDataSource(defaultDataSource);return dynamicDataSource;}
private Map<Object, Object>getDynamicDataSource(){
Map<String, DataSourceProperty> dataSourcePropertyMap = properties.getDatasource();
Map<Object, Object> targetDataSources = new ConcurrentHashMap<>(dataSourcePropertyMap.size());
dataSourcePropertyMap.forEach((k, v) ->{
DruidDataSource druidDataSource = DynamicDataSourceFactory.buildDruidDataSource(v);
targetDataSources.put(k, druidDataSource);});return targetDataSources;}}
7、验证
最后我们可以很轻松的验证当前Druid多数据源配置是否生效,通过访问http://localhost:8080/lk-auth/druid/的地址,可以很清楚的看到数据库执行语句和数据源的各种指标。代码链接:https://gitee.com/lhdxhl/lk-auth.git
版权归原作者 拾荒的小海螺 所有, 如有侵权,请联系我们删除。