I have a paginated response from an URL, I want to keep on hitting the next page URL which I get from the previous response and keep on collecting items till I don't have a "nextPage" URL in my response. How to achieve this in a reactive way using spring boot WebClient from WebFlux with out blocking?
Request1:
GET /items
response:
{
items: [...]
nextPage: "/items?page=2"
}
Request2:
GET /items?page=2
response:
{
items: [...]
nextPage: "/items?page=3"
}
Request3:
GET /items?page=3
response:
{
items: [...]
nextPage: null
}
Here I have created mock urls
https://karthikdivi.com/apps/paginatedReviews/withNextPageTokens/items
https://karthikdivi.com/apps/paginatedReviews/withNextPageTokens/items?page=2
https://karthikdivi.com/apps/paginatedReviews/withNextPageTokens/items?page=3
How can I extract all Items from the above responses in a reactive way without blocking?
Using expand, this can be achieved.
Based on the mock urls provided by you.
public Mono<List<Item>> getItems() {
String url = "https://karthikdivi.com/apps/paginatedReviews/withNextPageTokens/items";
return fetchItems(url).expand(response -> {
if (response.getNextPage() == null) {
return Mono.empty();
}
return fetchItems(response.getNextPage());
}).flatMap(response -> Flux.fromIterable(response.getItems())).collectList();
}
private Mono<Response> fetchItems(String url) {
return client.get().uri(url).retrieve()
.bodyToMono(Response.class);
}
You can achive a desired effect using exapnd:
@Test
public void usingExpand(){
Request innerData = new Request(null);
Request middleData = new Request(innerData);
Request rootData = new Request(middleData);
Mono.just(rootData)
.expand( t -> Mono.justOrEmpty(t.netxPage))
.flatMap( t -> Flux.fromIterable(t.items))
.subscribe(System.out::println);
}
public static class Request {
List<String> items = new ArrayList<>();
Request netxPage;
public Request(Request netxPage) {
this.items.add(UUID.randomUUID().toString());
this.items.add(UUID.randomUUID().toString());
this.netxPage = netxPage;
}
}
The above code shuld produce the following result:
dc78317c-5552-4723-90db-5392c67655be
32ff12bb-5be1-415e-b481-dab85d9157dd
cf1e3f36-a8e2-414d-90a2-7708eeedc5be
91a6bc14-a396-483d-a66a-80bb98dc1968
c95adae3-8e6f-489b-8a9d-4cea3080e150
d6f8fe01-2c50-4574-958c-ec675331bb25
Two UUID from each data object.