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這篇文章將為大家詳細(xì)講解有關(guān)springboot實(shí)現(xiàn)多數(shù)據(jù)源配置及切換,文章內(nèi)容質(zhì)量較高,因此小編分享給大家做個(gè)參考,希望大家閱讀完這篇文章后對(duì)相關(guān)知識(shí)有一定的了解。
配置文件數(shù)據(jù)源讀取
通過(guò)springboot的Envioment和Binder對(duì)象進(jìn)行讀取,無(wú)需手動(dòng)聲明DataSource的Bean
yml數(shù)據(jù)源配置格式如下:
spring: datasource: master: type: com.alibaba.druid.pool.DruidDataSource driverClassName: com.mysql.cj.jdbc.Driver url: jdbc:mysql://localhost:3306/main? useUnicode=true&characterEncoding=utf8&zeroDateTimeBehavior=convertToNull&serverTimezone=Asia/Shanghai username: root password: 11111 cluster: - key: db1 type: com.alibaba.druid.pool.DruidDataSource driverClassName: com.mysql.cj.jdbc.Driver url: jdbc:mysql://localhost:3306/haopanframetest_db1? useUnicode=true&characterEncoding=utf8&zeroDateTimeBehavior=convertToNull&serverTimezone=Asia/Shanghai username: root password: 11111 - key: db2 type: com.alibaba.druid.pool.DruidDataSource driverClassName: com.mysql.cj.jdbc.Driver url: jdbc:mysql://localhost:3306/haopanframetest_db2? useUnicode=true&characterEncoding=utf8&zeroDateTimeBehavior=convertToNull&serverTimezone=Asia/Shanghai username: root password: 11111
master為主數(shù)據(jù)庫(kù)必須配置,cluster下的為從庫(kù),選擇性配置
獲取配置文件信息代碼如下
@Autowired private Environment env; @Autowired private ApplicationContext applicationContext; private Binder binder; binder = Binder.get(env); List<Map> configs = binder.bind("spring.datasource.cluster", Bindable.listOf(Map.class)).get(); for (int i = 0; i < configs.size(); i++) { config = configs.get(i); String key = ConvertOp.convert2String(config.get("key")); String type = ConvertOp.convert2String(config.get("type")); String driverClassName = ConvertOp.convert2String(config.get("driverClassName")); String url = ConvertOp.convert2String(config.get("url")); String username = ConvertOp.convert2String(config.get("username")); String password = ConvertOp.convert2String(config.get("password")); }
動(dòng)態(tài)加入數(shù)據(jù)源
定義獲取數(shù)據(jù)源的Service,具體項(xiàng)目中進(jìn)行實(shí)現(xiàn)
public interface ExtraDataSourceService { List<DataSourceModel> getExtraDataSourc(); }
獲取對(duì)應(yīng)Service的所有實(shí)現(xiàn)類(lèi)進(jìn)行調(diào)用
private List<DataSourceModel> getExtraDataSource(){ List<DataSourceModel> dataSourceModelList = new ArrayList<>(); Map<String, ExtraDataSourceService> res = applicationContext.getBeansOfType(ExtraDataSourceService.class); for (Map.Entry en :res.entrySet()) { ExtraDataSourceService service = (ExtraDataSourceService)en.getValue(); dataSourceModelList.addAll(service.getExtraDataSourc()); } return dataSourceModelList; }
通過(guò)代碼進(jìn)行數(shù)據(jù)源注冊(cè)
主要是用過(guò)繼承類(lèi)AbstractRoutingDataSource,重寫(xiě)setTargetDataSources/setDefaultTargetDataSource方法
// 創(chuàng)建數(shù)據(jù)源 public boolean createDataSource(String key, String driveClass, String url, String username, String password, String databasetype) { try { try { // 排除連接不上的錯(cuò)誤 Class.forName(driveClass); DriverManager.getConnection(url, username, password);// 相當(dāng)于連接數(shù)據(jù)庫(kù) } catch (Exception e) { return false; } @SuppressWarnings("resource") DruidDataSource druidDataSource = new DruidDataSource(); druidDataSource.setName(key); druidDataSource.setDriverClassName(driveClass); druidDataSource.setUrl(url); druidDataSource.setUsername(username); druidDataSource.setPassword(password); druidDataSource.setInitialSize(1); //初始化時(shí)建立物理連接的個(gè)數(shù)。初始化發(fā)生在顯示調(diào)用init方法,或者第一次getConnection時(shí) druidDataSource.setMaxActive(20); //最大連接池?cái)?shù)量 druidDataSource.setMaxWait(60000); //獲取連接時(shí)最大等待時(shí)間,單位毫秒。當(dāng)鏈接數(shù)已經(jīng)達(dá)到了最大鏈接數(shù)的時(shí)候,應(yīng)用如果還要獲取鏈接就會(huì)出現(xiàn)等待的現(xiàn)象,等待鏈接釋放并回到鏈接池,如果等待的時(shí)間過(guò)長(zhǎng)就應(yīng)該踢掉這個(gè)等待,不然應(yīng)用很可能出現(xiàn)雪崩現(xiàn)象 druidDataSource.setMinIdle(5); //最小連接池?cái)?shù)量 String validationQuery = "select 1 from dual"; druidDataSource.setTestOnBorrow(true); //申請(qǐng)連接時(shí)執(zhí)行validationQuery檢測(cè)連接是否有效,這里建議配置為T(mén)RUE,防止取到的連接不可用 druidDataSource.setTestWhileIdle(true);//建議配置為true,不影響性能,并且保證安全性。申請(qǐng)連接的時(shí)候檢測(cè),如果空閑時(shí)間大于timeBetweenEvictionRunsMillis,執(zhí)行validationQuery檢測(cè)連接是否有效。 druidDataSource.setValidationQuery(validationQuery); //用來(lái)檢測(cè)連接是否有效的sql,要求是一個(gè)查詢(xún)語(yǔ)句。如果validationQuery為null,testOnBorrow、testOnReturn、testWhileIdle都不會(huì)起作用。 druidDataSource.setFilters("stat");//屬性類(lèi)型是字符串,通過(guò)別名的方式配置擴(kuò)展插件,常用的插件有:監(jiān)控統(tǒng)計(jì)用的filter:stat日志用的filter:log4j防御sql注入的filter:wall druidDataSource.setTimeBetweenEvictionRunsMillis(60000); //配置間隔多久才進(jìn)行一次檢測(cè),檢測(cè)需要關(guān)閉的空閑連接,單位是毫秒 druidDataSource.setMinEvictableIdleTimeMillis(180000); //配置一個(gè)連接在池中最小生存的時(shí)間,單位是毫秒,這里配置為3分鐘180000 druidDataSource.setKeepAlive(true); //打開(kāi)druid.keepAlive之后,當(dāng)連接池空閑時(shí),池中的minIdle數(shù)量以?xún)?nèi)的連接,空閑時(shí)間超過(guò)minEvictableIdleTimeMillis,則會(huì)執(zhí)行keepAlive操作,即執(zhí)行druid.validationQuery指定的查詢(xún)SQL,一般為select * from dual,只要minEvictableIdleTimeMillis設(shè)置的小于防火墻切斷連接時(shí)間,就可以保證當(dāng)連接空閑時(shí)自動(dòng)做?;顧z測(cè),不會(huì)被防火墻切斷 druidDataSource.setRemoveAbandoned(true); //是否移除泄露的連接/超過(guò)時(shí)間限制是否回收。 druidDataSource.setRemoveAbandonedTimeout(3600); //泄露連接的定義時(shí)間(要超過(guò)最大事務(wù)的處理時(shí)間);單位為秒。這里配置為1小時(shí) druidDataSource.setLogAbandoned(true); //移除泄露連接發(fā)生是是否記錄日志 druidDataSource.init(); this.dynamicTargetDataSources.put(key, druidDataSource); setTargetDataSources(this.dynamicTargetDataSources);// 將map賦值給父類(lèi)的TargetDataSources super.afterPropertiesSet();// 將TargetDataSources中的連接信息放入resolvedDataSources管理 log.info(key+"數(shù)據(jù)源初始化成功"); //log.info(key+"數(shù)據(jù)源的概況:"+druidDataSource.dump()); return true; } catch (Exception e) { log.error(e + ""); return false; } }
通過(guò)切面注解統(tǒng)一切換
定義注解
@Retention(RetentionPolicy.RUNTIME) @Target({ElementType.METHOD, ElementType.TYPE, ElementType.PARAMETER}) @Documented public @interface TargetDataSource { String value() default "master"; //該值即key值 }
定義基于線(xiàn)程的切換類(lèi)
public class DBContextHolder { private static Logger log = LoggerFactory.getLogger(DBContextHolder.class); // 對(duì)當(dāng)前線(xiàn)程的操作-線(xiàn)程安全的 private static final ThreadLocal<String> contextHolder = new ThreadLocal<String>(); // 調(diào)用此方法,切換數(shù)據(jù)源 public static void setDataSource(String dataSource) { contextHolder.set(dataSource); log.info("已切換到數(shù)據(jù)源:{}",dataSource); } // 獲取數(shù)據(jù)源 public static String getDataSource() { return contextHolder.get(); } // 刪除數(shù)據(jù)源 public static void clearDataSource() { contextHolder.remove(); log.info("已切換到主數(shù)據(jù)源"); } }
定義切面
方法的注解優(yōu)先級(jí)高于類(lèi)注解,一般用于Service的實(shí)現(xiàn)類(lèi)
@Aspect @Component @Order(Ordered.HIGHEST_PRECEDENCE) public class DruidDBAspect { private static Logger logger = LoggerFactory.getLogger(DruidDBAspect.class); @Autowired private DynamicDataSource dynamicDataSource; /** * 切面點(diǎn) 指定注解 * */ @Pointcut("@annotation(com.haopan.frame.common.annotation.TargetDataSource) " + "|| @within(com.haopan.frame.common.annotation.TargetDataSource)") public void dataSourcePointCut() { } /** * 攔截方法指定為 dataSourcePointCut * */ @Around("dataSourcePointCut()") public Object around(ProceedingJoinPoint point) throws Throwable { MethodSignature signature = (MethodSignature) point.getSignature(); Class targetClass = point.getTarget().getClass(); Method method = signature.getMethod(); TargetDataSource targetDataSource = (TargetDataSource)targetClass.getAnnotation(TargetDataSource.class); TargetDataSource methodDataSource = method.getAnnotation(TargetDataSource.class); if(targetDataSource != null || methodDataSource != null){ String value; if(methodDataSource != null){ value = methodDataSource.value(); }else { value = targetDataSource.value(); } DBContextHolder.setDataSource(value); logger.info("DB切換成功,切換至{}",value); } try { return point.proceed(); } finally { logger.info("清除DB切換"); DBContextHolder.clearDataSource(); } } }
分庫(kù)切換
開(kāi)發(fā)過(guò)程中某個(gè)庫(kù)的某個(gè)表做了拆分操作,相同的某一次數(shù)據(jù)庫(kù)操作可能對(duì)應(yīng)到不同的庫(kù),需要對(duì)方法級(jí)別進(jìn)行精確攔截,可以定義一個(gè)業(yè)務(wù)層面的切面,規(guī)定每個(gè)方法必須第一個(gè)參數(shù)為dbName,根據(jù)具體業(yè)務(wù)找到對(duì)應(yīng)的庫(kù)傳參
@Around("dataSourcePointCut()") public Object around(ProceedingJoinPoint point) throws Throwable { MethodSignature signature = (MethodSignature) point.getSignature(); Class targetClass = point.getTarget().getClass(); Method method = signature.getMethod(); ProjectDataSource targetDataSource = (ProjectDataSource)targetClass.getAnnotation(ProjectDataSource.class); ProjectDataSource methodDataSource = method.getAnnotation(ProjectDataSource.class); String value = ""; if(targetDataSource != null || methodDataSource != null){ //獲取方法定義參數(shù) DefaultParameterNameDiscoverer discover = new DefaultParameterNameDiscoverer(); String[] parameterNames = discover.getParameterNames(method); //獲取傳入目標(biāo)方法的參數(shù) Object[] args = point.getArgs(); for (int i=0;i<parameterNames.length;i++){ String pName = parameterNames[i]; if(pName.toLowerCase().equals("dbname")){ value = ConvertOp.convert2String(args[i]); } } if(!StringUtil.isEmpty(value)){ DBContextHolder.setDataSource(value); logger.info("DB切換成功,切換至{}",value); } } try { return point.proceed(); } finally { if(!StringUtil.isEmpty(value)){ logger.info("清除DB切換"); DBContextHolder.clearDataSource(); } } }
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