How can batch calls be implemented in a webflux API when the quantity of records is uncertain?

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Batch calls can be implemented in a webflux API when the quantity of records is uncertain by using Reactive Streams, which is a specification for asynchronous, non-blocking streams of data with backpressure. In Reactive Streams, a Publisher produces a stream of data that is consumed by a Subscriber. This allows the API to handle large quantities of data without blocking or overwhelming the system.

One way to implement batch calls using Reactive Streams is to use Flux, which is a reactive stream that produces multiple values. Instead of returning a single value, Flux returns a stream of values that can be consumed by a Subscriber. This allows for asynchronous processing of large data sets.

To implement batch calls using Flux, the API can accept requests containing multiple records and return a Flux of results for each of those records. This can be done by mapping the input records to a Flux and then applying operators to manipulate the data as needed. The results can then be aggregated and returned to the client.

Another approach is to use Mono, which is a reactive stream that produces a single value. The API can accept requests containing a list of records and return a Mono containing the results for all of those records. This can be done by mapping the input records to a Mono and then using operators to manipulate the data as needed. The results can then be aggregated and returned to the client.

In both cases, Reactive Streams allow for the API to handle large quantities of data without blocking or overwhelming the system. This makes it possible to implement batch calls even when the quantity of records is uncertain.