rx.exceptions.MissingBackpressureException Maven / Gradle / Ivy
/**
* Copyright 2014 Netflix, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package rx.exceptions;
/**
* Represents an exception that indicates that a Subscriber or operator attempted to apply reactive pull
* backpressure to an Observable that does not implement it.
*
* If an Observable has not been written to support reactive pull backpressure (such support is not a
* requirement for Observables), you can apply one of the following operators to it, each of which forces a
* simple form of backpressure behavior:
*
* onBackpressureBuffer- maintains a buffer of all emissions from the source Observable and emits them to downstream Subscribers
* according to the requests they generate
* onBackpressureDrop- drops emissions from the source Observable unless there is a pending request from a downstream
* Subscriber, in which case it will emit enough items to fulfill the request
*
* If you do not apply either of these operators to an Observable that does not support backpressure, and if
* either you as the Subscriber or some operator between you and the Observable attempts to apply reactive pull
* backpressure, you will encounter a {@code MissingBackpressureException} which you will be notified of via
* your {@code onError} callback.
*
* There are, however, other options. You can throttle an over-producing Observable with operators like
* {@code sample}/{@code throttleLast}, {@code throttleFirst}, or {@code throttleWithTimeout}/{@code debounce}.
* You can also take the large number of items emitted by an over-producing Observable and package them into
* a smaller set of emissions by using operators like {@code buffer} and {@code window}.
*
* For a more complete discussion of the options available to you for dealing with issues related to
* backpressure and flow control in RxJava, see
* RxJava wiki: Backpressure.
*/
public class MissingBackpressureException extends Exception {
private static final long serialVersionUID = 7250870679677032194L;
/**
* Constructs the exception without any custom message.
*/
public MissingBackpressureException() {
}
/**
* Constructs the exception with the given customized message.
* @param message the customized message
*/
public MissingBackpressureException(String message) {
super(message);
}
}