update sentinel docs

pull/898/head
fangjian0423 6 years ago
parent aeea19952c
commit 92a863dee8

@ -167,7 +167,7 @@ private ReadableDataSource dataSource;
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。
如果数据生效并且规则成功加载,控制台会打印类似如下信息:
如果数据生效并且规则成功加载,控制台会打印类似如下信息:
```
[Sentinel Starter] load 3 flow rules
@ -216,6 +216,13 @@ NOTE: d1, ds2, ds3, ds4 是 `ReadableDataSource` 的名字,可随意编写。
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。
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:
```
[Sentinel Starter] DataSource ds1-sentinel-file-datasource load 3 DegradeRule
[Sentinel Starter] DataSource ds2-sentinel-nacos-datasource load 2 FlowRule
```
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。
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]

@ -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
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)。
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。
比如要定义一个 `FileRefreshableDataSource`,配置如下:
spring.cloud.sentinel.datasource.type=file
spring.cloud.sentinel.datasource.recommendRefreshMs=2000
spring.cloud.sentinel.datasource.bufSize=2048
spring.cloud.sentinel.datasource.charset=utf-8
spring.cloud.sentinel.datasource.converter=myParser
spring.cloud.sentinel.datasource.file=/Users/you/rule.json
然后使用`@SentinelDataSource` 注解修饰 DataSource 即可注入:
@SentinelDataSource("spring.cloud.sentinel.datasource")
private ReadableDataSource dataSource;
`@SentinelDataSource` 注解的 value 属性可以不填。默认值就是 `spring.cloud.sentinel.datasource`
`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。
`spring.cloud.sentinel.datasource.type` 就是对应的 DataSource 类型。
`spring.cloud.sentinel.datasource.recommendRefreshMs` 里的 `recommendRefreshMs` 对应相关 DataSource 的属性。
`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。
type目前支持file, nacos, zk, apollo。其中nacoszkapollo的使用需要加上对应的依赖`sentinel-datasource-nacos`, `sentinel-datasource-zookeeper`, `sentinel-datasource-apollo`
### 自定义DataSource
自定义DataSource只需要两步。
1. 定义DataSource
public class CustomDataSource implements ReadableDataSource {
private String fieldA;
private String fieldB;
...
}
2. 装配DataSource。有两种方式处理。
* 直接构造DataSource
@Bean
public CustomDataSource customDataSource() {
CustomDataSource customDataSource =
new CustomDataSource();
customDataSource.setFieldA("valueA");
customDataSource.setFieldB("valueB");
...
return customDataSource;
}
* 在classpath:/META-INF/sentinel-datasource.properties中管理DataSource信息
custom = yourpackage.CustomDataSource
在application.properties中定义DataSource
spring.cloud.sentinel.datasource.type = custom
spring.cloud.sentinel.datasource.fieldA = valueA
spring.cloud.sentinel.datasource.fieldB = valueB
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。
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。
SentinelDataSourceRegistry.registerFactoryBean("custeom", CustomDataSourceFactoryBean.class);
如果自定义DataSource可以注入属性那么没有必要使用SentinelDataSourceRegistry注册FactoryBean。
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。
比如要定义两个ReadableDataSource分别是 `FileRefreshableDataSource``NacosDataSource`,配置如下:
```properties
spring.cloud.sentinel.datasource.ds1.file.file=classpath: degraderule.json
spring.cloud.sentinel.datasource.ds1.file.data-type=json
spring.cloud.sentinel.datasource.ds2.nacos.server-addr=localhost:8848
spring.cloud.sentinel.datasource.ds2.nacos.dataId=sentinel
spring.cloud.sentinel.datasource.ds2.nacos.groupId=DEFAULT_GROUP
spring.cloud.sentinel.datasource.ds2.nacos.data-type=json
```
`ds1``ds2` 表示ReadableDataSource的名称可随意编写。`ds1` 和 `ds2` 后面的 `file``nacos` 表示ReadableDataSource的类型。
目前支持`file`, `nacos`, `zk`, `apollo` 这4种类型。
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`
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
```
[Sentinel Starter] DataSource ds1-sentinel-file-datasource load 3 DegradeRule
[Sentinel Starter] DataSource ds2-sentinel-nacos-datasource load 2 FlowRule
```
## More
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)。

@ -71,7 +71,7 @@ Before we start the demo, let's learn how to connect Sentinel to a Spring Cloud
2. Start the application in IDE or by building a fatjar.
1. Start in IDE: Find main class `ServiceApplication`, and execute the main method.
2. Build a fatjarExecute command `mvn clean package` to build a fatjarand run command `java -jar sentinel-core-example.jar` to start the application.
2. Build a fatjarExecute command `mvn clean package` to build a fatjar, and run command `java -jar sentinel-core-example.jar` to start the application.
### Invoke Service
@ -86,7 +86,7 @@ The screenshot belows shows invoke success:
1. Open http://localhost:8080 in browser, and you can find a Sentinel-Example Application has been registered to the dashboard.
**Note: If you can't find your application in the dashboard, invoke a method that has been defined as a Sentinel Resourcefor Sentinel uses lazy load strategy.**
**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.**
<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>
@ -171,73 +171,30 @@ Sentinel provide [ReadableDataSource](https://github.com/alibaba/Sentinel/blob/m
Sentinel starter integrated 4 DataSources provided by Sentinel. It will be register into Spring Context if you write some configs in `application.properties`.
If you want to define FileRefreshableDataSource:
If you want to define `FileRefreshableDataSource` and `NacosDataSource`, see the code below:
spring.cloud.sentinel.datasource.type=file
spring.cloud.sentinel.datasource.recommendRefreshMs=2000
spring.cloud.sentinel.datasource.bufSize=2048
spring.cloud.sentinel.datasource.charset=utf-8
spring.cloud.sentinel.datasource.converter=myParser
spring.cloud.sentinel.datasource.file=/Users/you/rule.json
then use `@SentinelDataSource` to annotate DataSource:
@SentinelDataSource("spring.cloud.sentinel.datasource")
private ReadableDataSource dataSource;
The value() of `@SentinelDataSource` is not required, it means the prefix of configuration. Default value is `spring.cloud.sentinel.datasource`.
spring.cloud.sentinel.datasource.type means the type of DataSource.
```properties
spring.cloud.sentinel.datasource.ds1.file.file=classpath: degraderule.json
spring.cloud.sentinel.datasource.ds1.file.data-type=json
spring.cloud.sentinel.datasource.recommendRefreshMs means the recommendRefreshMs property of specified DataSource.
spring.cloud.sentinel.datasource.ds2.nacos.server-addr=localhost:8848
spring.cloud.sentinel.datasource.ds2.nacos.dataId=sentinel
spring.cloud.sentinel.datasource.ds2.nacos.groupId=DEFAULT_GROUP
spring.cloud.sentinel.datasource.ds2.nacos.data-type=json
```
spring.cloud.sentinel.datasource.converter means the name of spring bean that type is Converter. If the bean is not exists, will throw exception.
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.
`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.
Now ReadableDataSource type support 4 categories: `file`, `nacos`, `zk` and `apollo`.
### User-defined DataSource
If you want to use `nacos`, `zk` or `apollo` ReadableDataSource, you could add `sentinel-datasource-nacos`, `sentinel-datasource-zookeeper` or `sentinel-datasource-apollo` dependency.
User-defined DataSource need 2 steps.
When ReadableDataSource load rule data successfully, console will print some logs:
1. Define DataSource
public class CustomDataSource implements ReadableDataSource {
private String fieldA;
private String fieldB;
...
}
2. Assemble DataSource. There are 2 ways to do this.
* Construct DataSource directly
@Bean
public CustomDataSource customDataSource() {
CustomDataSource customDataSource = new CustomDataSource();
customDataSource.setFieldA("valueA");
customDataSource.setFieldB("valueB");
...
return customDataSource;
}
* define DataSource metadata in `classpath:/META-INF/sentinel-datasource.properties`
custom = yourpackage.CustomDataSource
define configuration in `application.properties`
spring.cloud.sentinel.datasource.type = custom
spring.cloud.sentinel.datasource.fieldA = valueA
spring.cloud.sentinel.datasource.fieldB = valueB
Note: The AbstractDataSource of Sentinel need a Converter as a constructor param and the subclass of AbstractDataSource was construct by multi-param constructor.
Now All DataSources in starter was construct by FactoryBean. If you want to do it in this way, you should register FactoryBean by SentinelDataSourceRegistry.
SentinelDataSourceRegistry.registerFactoryBean("custeom", CustomDataSourceFactoryBean.class);
It is no need to using SentinelDataSourceRegistry to register FactoryBean if your User-defined DataSource can inject fields.
```
[Sentinel Starter] DataSource ds1-sentinel-file-datasource load 3 DegradeRule
[Sentinel Starter] DataSource ds2-sentinel-nacos-datasource load 2 FlowRule
```
## More
For more information about Sentinel, see [Sentinel Project](https://github.com/alibaba/Sentinel).

@ -1,8 +1,7 @@
spring.application.name=sentinel-example
server.port=18083
management.endpoints.web.exposure.include=*
spring.cloud.sentinel.transport.port=8721
spring.cloud.sentinel.transport.dashboard=localhost:9999
spring.cloud.sentinel.transport.dashboard=localhost:8080
spring.cloud.sentinel.eager=true
spring.cloud.sentinel.datasource.ds1.file.file=classpath: flowrule.json

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