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update sentinel docs
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@ -167,7 +167,7 @@ private ReadableDataSource dataSource;
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如果 `ApplicationContext` 中存在超过1个 `ReadableDataSource` bean,那么不会加载这些 `ReadableDataSource` 中的任意一个。 只有在 `ApplicationContext` 存在一个 `ReadableDataSource` 的情况下才会生效。
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如果数据库生效并且规则成功加载,控制台会打印类似如下信息:
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如果数据源生效并且规则成功加载,控制台会打印类似如下信息:
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```
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[Sentinel Starter] load 3 flow rules
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@ -216,6 +216,13 @@ NOTE: d1, ds2, ds3, ds4 是 `ReadableDataSource` 的名字,可随意编写。
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用户使用这种配置的时候只需要填写正确的json或xml就行,有任何不合理的信息都会在日志里打印出来。
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如果数据源生效并且规则成功加载,控制台会打印类似如下信息:
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```
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[Sentinel Starter] DataSource ds1-sentinel-file-datasource load 3 DegradeRule
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[Sentinel Starter] DataSource ds2-sentinel-nacos-datasource load 2 FlowRule
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```
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NOTE: 默认情况下,xml格式是不支持的。需要添加 `jackson-dataformat-xml` 依赖后才会自动生效。
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关于Sentinel动态数据源的实现原理,参考: https://github.com/alibaba/Sentinel/wiki/%E5%8A%A8%E6%80%81%E8%A7%84%E5%88%99%E6%89%A9%E5%B1%95[动态规则扩展]
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@ -196,77 +196,33 @@ Sentinel 控制台支持实时监控查看,您可以通过 Sentinel 控制台
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Sentinel 内部提供了[动态规则的扩展实现 ReadableDataSource](https://github.com/alibaba/Sentinel/wiki/%E5%8A%A8%E6%80%81%E8%A7%84%E5%88%99%E6%89%A9%E5%B1%95#datasource-%E6%89%A9%E5%B1%95)。
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Sentinel starter 整合了目前存在的几类 DataSource。只需要在配置文件中进行相关配置,即可在 Spring 容器中自动注册 DataSource。
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Sentinel starter 整合了目前存在的几类 ReadableDataSource。只需要在配置文件中进行相关配置,即可在 Spring 容器中自动注册 DataSource。
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比如要定义一个 `FileRefreshableDataSource`,配置如下:
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比如要定义两个ReadableDataSource,分别是 `FileRefreshableDataSource` 和 `NacosDataSource`,配置如下:
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spring.cloud.sentinel.datasource.type=file
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spring.cloud.sentinel.datasource.recommendRefreshMs=2000
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spring.cloud.sentinel.datasource.bufSize=2048
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spring.cloud.sentinel.datasource.charset=utf-8
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spring.cloud.sentinel.datasource.converter=myParser
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spring.cloud.sentinel.datasource.file=/Users/you/rule.json
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```properties
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spring.cloud.sentinel.datasource.ds1.file.file=classpath: degraderule.json
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spring.cloud.sentinel.datasource.ds1.file.data-type=json
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然后使用`@SentinelDataSource` 注解修饰 DataSource 即可注入:
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spring.cloud.sentinel.datasource.ds2.nacos.server-addr=localhost:8848
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spring.cloud.sentinel.datasource.ds2.nacos.dataId=sentinel
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spring.cloud.sentinel.datasource.ds2.nacos.groupId=DEFAULT_GROUP
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spring.cloud.sentinel.datasource.ds2.nacos.data-type=json
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```
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@SentinelDataSource("spring.cloud.sentinel.datasource")
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private ReadableDataSource dataSource;
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`ds1` 和 `ds2` 表示ReadableDataSource的名称,可随意编写。`ds1` 和 `ds2` 后面的 `file` 和 `nacos` 表示ReadableDataSource的类型。
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`@SentinelDataSource` 注解的 value 属性可以不填。默认值就是 `spring.cloud.sentinel.datasource`。
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目前支持`file`, `nacos`, `zk`, `apollo` 这4种类型。
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`value` 属性代表配置前缀。示例中会去找 `spring.cloud.sentinel.datasource.xxx` 相关的配置。
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其中`nacos`,`zk`,`apollo`这3种类型的使用需要加上对应的依赖`sentinel-datasource-nacos`, `sentinel-datasource-zookeeper`, `sentinel-datasource-apollo`。
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`spring.cloud.sentinel.datasource.type` 就是对应的 DataSource 类型。
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当ReadableDataSource加载规则数据成功的时候,控制台会打印出相应的日志信息:
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`spring.cloud.sentinel.datasource.recommendRefreshMs` 里的 `recommendRefreshMs` 对应相关 DataSource 的属性。
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```
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[Sentinel Starter] DataSource ds1-sentinel-file-datasource load 3 DegradeRule
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[Sentinel Starter] DataSource ds2-sentinel-nacos-datasource load 2 FlowRule
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```
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`spring.cloud.sentinel.datasource.converter`代表 `Converter` 在 Spring 容器里的 name。如果没找到,会抛出异常。
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type目前支持file, nacos, zk, apollo。其中nacos,zk,apollo的使用需要加上对应的依赖`sentinel-datasource-nacos`, `sentinel-datasource-zookeeper`, `sentinel-datasource-apollo`
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### 自定义DataSource
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自定义DataSource只需要两步。
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1. 定义DataSource
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public class CustomDataSource implements ReadableDataSource {
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private String fieldA;
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private String fieldB;
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...
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}
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2. 装配DataSource。有两种方式处理。
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* 直接构造DataSource
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@Bean
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public CustomDataSource customDataSource() {
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CustomDataSource customDataSource =
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new CustomDataSource();
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customDataSource.setFieldA("valueA");
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customDataSource.setFieldB("valueB");
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...
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return customDataSource;
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}
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* 在classpath:/META-INF/sentinel-datasource.properties中管理DataSource信息
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custom = yourpackage.CustomDataSource
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在application.properties中定义DataSource
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spring.cloud.sentinel.datasource.type = custom
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spring.cloud.sentinel.datasource.fieldA = valueA
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spring.cloud.sentinel.datasource.fieldB = valueB
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注意:由于目前Sentinel的AbstractDataSource需要有个Converter作为构造函数中的参数,并且它的子类的构造都是通过多个参数的构造函数构造的。
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所以目前所有的Sentinel starter中的DataSource都是基于FactoryBean并且通过设置属性构造的。如果有这方面的需求,需要再多加一个registerFactoryBean过程。
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SentinelDataSourceRegistry.registerFactoryBean("custeom", CustomDataSourceFactoryBean.class);
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如果自定义DataSource可以注入属性,那么没有必要使用SentinelDataSourceRegistry注册FactoryBean。
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## More
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Sentinel 是一款功能强大的中间件,从流量控制,熔断降级,系统负载保护等多个维度保护服务的稳定性。此 Demo 仅演示了 使用 Sentinel 作为限流工具的使用,更多 Sentinel 相关的信息,请参考 [Sentinel 项目](https://github.com/alibaba/Sentinel)。
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@ -71,7 +71,7 @@ Before we start the demo, let's learn how to connect Sentinel to a Spring Cloud
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2. Start the application in IDE or by building a fatjar.
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1. Start in IDE: Find main class `ServiceApplication`, and execute the main method.
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2. Build a fatjar:Execute command `mvn clean package` to build a fatjar,and run command `java -jar sentinel-core-example.jar` to start the application.
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2. Build a fatjar:Execute command `mvn clean package` to build a fatjar, and run command `java -jar sentinel-core-example.jar` to start the application.
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### Invoke Service
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@ -86,7 +86,7 @@ The screenshot belows shows invoke success:
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1. Open http://localhost:8080 in browser, and you can find a Sentinel-Example Application has been registered to the dashboard.
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**Note: If you can't find your application in the dashboard, invoke a method that has been defined as a Sentinel Resource,for Sentinel uses lazy load strategy.**
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**Note: If you can't find your application in the dashboard, invoke a method that has been defined as a Sentinel Resource, for Sentinel uses lazy load strategy.**
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<p align="center"><img src="https://cdn.nlark.com/lark/0/2018/png/54319/1532315951819-9ffd959e-0547-4f61-8f06-91374cfe7f21.png" width="1000" heigh='400' ></p>
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@ -171,73 +171,30 @@ Sentinel provide [ReadableDataSource](https://github.com/alibaba/Sentinel/blob/m
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Sentinel starter integrated 4 DataSources provided by Sentinel. It will be register into Spring Context if you write some configs in `application.properties`.
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If you want to define FileRefreshableDataSource:
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If you want to define `FileRefreshableDataSource` and `NacosDataSource`, see the code below:
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spring.cloud.sentinel.datasource.type=file
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spring.cloud.sentinel.datasource.recommendRefreshMs=2000
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spring.cloud.sentinel.datasource.bufSize=2048
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spring.cloud.sentinel.datasource.charset=utf-8
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spring.cloud.sentinel.datasource.converter=myParser
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spring.cloud.sentinel.datasource.file=/Users/you/rule.json
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then use `@SentinelDataSource` to annotate DataSource:
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@SentinelDataSource("spring.cloud.sentinel.datasource")
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private ReadableDataSource dataSource;
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The value() of `@SentinelDataSource` is not required, it means the prefix of configuration. Default value is `spring.cloud.sentinel.datasource`.
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```properties
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spring.cloud.sentinel.datasource.ds1.file.file=classpath: degraderule.json
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spring.cloud.sentinel.datasource.ds1.file.data-type=json
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spring.cloud.sentinel.datasource.type means the type of DataSource.
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spring.cloud.sentinel.datasource.ds2.nacos.server-addr=localhost:8848
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spring.cloud.sentinel.datasource.ds2.nacos.dataId=sentinel
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spring.cloud.sentinel.datasource.ds2.nacos.groupId=DEFAULT_GROUP
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spring.cloud.sentinel.datasource.ds2.nacos.data-type=json
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```
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spring.cloud.sentinel.datasource.recommendRefreshMs means the recommendRefreshMs property of specified DataSource.
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`ds1` and `ds2` means the name of ReadableDataSource, you can write whatever you want. The `file` and `nacos` after name `ds1` and `ds2` means the type of ReadableDataSource.
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spring.cloud.sentinel.datasource.converter means the name of spring bean that type is Converter. If the bean is not exists, will throw exception.
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Now datasource type support 4 categories: file, nacos, zk, apollo. If you want to using nacos, zk or apollo, you should add `sentinel-datasource-nacos`, `sentinel-datasource-zookeeper` or `sentinel-datasource-apollo` dependency.
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Now ReadableDataSource type support 4 categories: `file`, `nacos`, `zk` and `apollo`.
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If you want to use `nacos`, `zk` or `apollo` ReadableDataSource, you could add `sentinel-datasource-nacos`, `sentinel-datasource-zookeeper` or `sentinel-datasource-apollo` dependency.
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### User-defined DataSource
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When ReadableDataSource load rule data successfully, console will print some logs:
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User-defined DataSource need 2 steps.
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1. Define DataSource
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public class CustomDataSource implements ReadableDataSource {
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private String fieldA;
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private String fieldB;
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...
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}
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2. Assemble DataSource. There are 2 ways to do this.
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* Construct DataSource directly
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@Bean
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public CustomDataSource customDataSource() {
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CustomDataSource customDataSource = new CustomDataSource();
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customDataSource.setFieldA("valueA");
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customDataSource.setFieldB("valueB");
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...
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return customDataSource;
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}
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* define DataSource metadata in `classpath:/META-INF/sentinel-datasource.properties`
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custom = yourpackage.CustomDataSource
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define configuration in `application.properties`
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spring.cloud.sentinel.datasource.type = custom
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spring.cloud.sentinel.datasource.fieldA = valueA
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spring.cloud.sentinel.datasource.fieldB = valueB
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Note: The AbstractDataSource of Sentinel need a Converter as a constructor param and the subclass of AbstractDataSource was construct by multi-param constructor.
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Now All DataSources in starter was construct by FactoryBean. If you want to do it in this way, you should register FactoryBean by SentinelDataSourceRegistry.
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SentinelDataSourceRegistry.registerFactoryBean("custeom", CustomDataSourceFactoryBean.class);
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It is no need to using SentinelDataSourceRegistry to register FactoryBean if your User-defined DataSource can inject fields.
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```
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[Sentinel Starter] DataSource ds1-sentinel-file-datasource load 3 DegradeRule
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[Sentinel Starter] DataSource ds2-sentinel-nacos-datasource load 2 FlowRule
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```
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## More
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For more information about Sentinel, see [Sentinel Project](https://github.com/alibaba/Sentinel).
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@ -1,8 +1,7 @@
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spring.application.name=sentinel-example
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server.port=18083
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management.endpoints.web.exposure.include=*
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spring.cloud.sentinel.transport.port=8721
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spring.cloud.sentinel.transport.dashboard=localhost:9999
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spring.cloud.sentinel.transport.dashboard=localhost:8080
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spring.cloud.sentinel.eager=true
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spring.cloud.sentinel.datasource.ds1.file.file=classpath: flowrule.json
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