/*
* Copyright (c) 2011-2017 Contributors to the Eclipse Foundation
*
* This program and the accompanying materials are made available under the
* terms of the Eclipse Public License 2.0 which is available at
* http://www.eclipse.org/legal/epl-2.0, or the Apache License, Version 2.0
* which is available at https://www.apache.org/licenses/LICENSE-2.0.
*
* SPDX-License-Identifier: EPL-2.0 OR Apache-2.0
*/
package io.vertx.core.streams;
import io.vertx.codegen.annotations.Fluent;
import io.vertx.codegen.annotations.Nullable;
import io.vertx.codegen.annotations.VertxGen;
import io.vertx.core.AsyncResult;
import io.vertx.core.Handler;
Represents a stream of data that can be written to.
Any class that implements this interface can be used by a Pipe
to pipe data from a ReadStream
to it.
Author: Tim Fox
/**
*
* Represents a stream of data that can be written to.
* <p>
* Any class that implements this interface can be used by a {@link Pipe} to pipe data from a {@code ReadStream}
* to it.
*
* @author <a href="http://tfox.org">Tim Fox</a>
*/
@VertxGen(concrete = false)
public interface WriteStream<T> extends StreamBase {
Set an exception handler on the write stream.
Params: - handler – the exception handler
Returns: a reference to this, so the API can be used fluently
/**
* Set an exception handler on the write stream.
*
* @param handler the exception handler
* @return a reference to this, so the API can be used fluently
*/
@Override
WriteStream<T> exceptionHandler(Handler<Throwable> handler);
Write some data to the stream. The data is put on an internal write queue, and the write actually happens asynchronously. To avoid running out of memory by putting too much on the write queue, check the writeQueueFull
method before writing. This is done automatically if using a Pump
. Params: - data – the data to write
Returns: a reference to this, so the API can be used fluently
/**
* Write some data to the stream. The data is put on an internal write queue, and the write actually happens
* asynchronously. To avoid running out of memory by putting too much on the write queue,
* check the {@link #writeQueueFull} method before writing. This is done automatically if using a {@link Pump}.
*
* @param data the data to write
* @return a reference to this, so the API can be used fluently
*/
@Fluent
WriteStream<T> write(T data);
Same as write(Object)
but with an handler
called when the operation completes /**
* Same as {@link #write(T)} but with an {@code handler} called when the operation completes
*/
@Fluent
WriteStream<T> write(T data, Handler<AsyncResult<Void>> handler);
Ends the stream.
Once the stream has ended, it cannot be used any more.
/**
* Ends the stream.
* <p>
* Once the stream has ended, it cannot be used any more.
*/
void end();
Same as end()
but with an handler
called when the operation completes /**
* Same as {@link #end()} but with an {@code handler} called when the operation completes
*/
void end(Handler<AsyncResult<Void>> handler);
Same as end()
but writes some data to the stream before ending. Params: - data – the data to write
Implementation Requirements: The default default implementation calls sequentially write(Object)
then end()
API Note: Implementations might want to perform a single operation
/**
* Same as {@link #end()} but writes some data to the stream before ending.
*
* @implSpec The default default implementation calls sequentially {@link #write(Object)} then {@link #end()}
* @apiNote Implementations might want to perform a single operation
* @param data the data to write
*/
default void end(T data) {
write(data);
end();
}
Same as end(Object)
but with an handler
called when the operation completes /**
* Same as {@link #end(T)} but with an {@code handler} called when the operation completes
*/
default void end(T data, Handler<AsyncResult<Void>> handler) {
if (handler != null) {
write(data, ar -> {
if (ar.succeeded()) {
end(handler);
} else {
handler.handle(ar);
}
});
} else {
end(data);
}
}
Set the maximum size of the write queue to maxSize
. You will still be able to write to the stream even if there is more than maxSize
items in the write queue. This is used as an indicator by classes such as Pump
to provide flow control. The value is defined by the implementation of the stream, e.g in bytes for a NetSocket
, the number of Message
for a MessageProducer
, etc... Params: - maxSize – the max size of the write stream
Returns: a reference to this, so the API can be used fluently
/**
* Set the maximum size of the write queue to {@code maxSize}. You will still be able to write to the stream even
* if there is more than {@code maxSize} items in the write queue. This is used as an indicator by classes such as
* {@code Pump} to provide flow control.
* <p/>
* The value is defined by the implementation of the stream, e.g in bytes for a
* {@link io.vertx.core.net.NetSocket}, the number of {@link io.vertx.core.eventbus.Message} for a
* {@link io.vertx.core.eventbus.MessageProducer}, etc...
*
* @param maxSize the max size of the write stream
* @return a reference to this, so the API can be used fluently
*/
@Fluent
WriteStream<T> setWriteQueueMaxSize(int maxSize);
This will return true
if there are more bytes in the write queue than the value set using setWriteQueueMaxSize
Returns: true if write queue is full
/**
* This will return {@code true} if there are more bytes in the write queue than the value set using {@link
* #setWriteQueueMaxSize}
*
* @return true if write queue is full
*/
boolean writeQueueFull();
Set a drain handler on the stream. If the write queue is full, then the handler will be called when the write queue is ready to accept buffers again. See Pump
for an example of this being used. The stream implementation defines when the drain handler, for example it could be when the queue size has been reduced to maxSize / 2
. Params: - handler – the handler
Returns: a reference to this, so the API can be used fluently
/**
* Set a drain handler on the stream. If the write queue is full, then the handler will be called when the write
* queue is ready to accept buffers again. See {@link Pump} for an example of this being used.
* <p/>
* The stream implementation defines when the drain handler, for example it could be when the queue size has been
* reduced to {@code maxSize / 2}.
*
* @param handler the handler
* @return a reference to this, so the API can be used fluently
*/
@Fluent
WriteStream<T> drainHandler(@Nullable Handler<Void> handler);
}