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docs: update partial response

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Ilkka Seppälä committed 2024-05-27 07:25:46 +03:00
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partial-response/README.md
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@@ -84,7 +84,6 @@ public class FieldJsonMapper {
- It splits the `fields` parameter into a set of field names, uses `FieldJsonMapper` to include only those fields in the response, and returns the partial JSON response. - It splits the `fields` parameter into a set of field names, uses `FieldJsonMapper` to include only those fields in the response, and returns the partial JSON response.
```java ```java
@Path("/videos") @Path("/videos")
public class VideoResource { public class VideoResource {
@GET @GET
@@ -119,14 +118,10 @@ public class VideoResource {
- The server listens on `http://localhost:8080/`. - The server listens on `http://localhost:8080/`.
```java ```java
import org.glassfish.jersey.server.ResourceConfig;
import org.glassfish.jersey.simple.SimpleContainerFactory;
public class App { public class App {
public static void main(String[] args) { public static void main(String[] args) {
ResourceConfig config = new ResourceConfig(); ResourceConfig config = new ResourceConfig();
config.register(VideoResource.class); config.register(VideoResource.class);
SimpleContainerFactory.create("http://localhost:8080/", config); SimpleContainerFactory.create("http://localhost:8080/", config);
} }
} }
@@ -141,10 +136,6 @@ To summarize, in this example:
By implementing the Partial Response design pattern, clients can request only the necessary data, enhancing performance and reducing bandwidth usage. By implementing the Partial Response design pattern, clients can request only the necessary data, enhancing performance and reducing bandwidth usage.
## Class diagram
![Partial Response](./etc/partial-response.urm.png "Partial Response")
## Applicability ## Applicability
Use the Partial Response pattern when Use the Partial Response pattern when
@@ -184,4 +175,3 @@ Trade-offs:
* [Building Microservices](https://amzn.to/3UACtrU) * [Building Microservices](https://amzn.to/3UACtrU)
* [Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems](https://amzn.to/4dKEwBa) * [Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems](https://amzn.to/4dKEwBa)
* [RESTful Web APIs: Services for a Changing World](https://amzn.to/3wG4fu3) * [RESTful Web APIs: Services for a Changing World](https://amzn.to/3wG4fu3)
* [Google Cloud Common Design Patterns](https://cloud.google.com/apis/design/design_patterns)