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Define vertx dependency as vertx.version
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There are several objects in Vert.x that allow items to be read from and written. | ||
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In previous versions the | ||
io.vertx.core.streams.adoc package was manipulating link:groovydoc/io/vertx/groovy/core/buffer/Buffer.html[`Buffer`] objects exclusively. | ||
From now, streams are not anymore coupled to buffers and work with any kind of objects. | ||
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In Vert.x, calls to write item return immediately and writes are internally queued. | ||
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It's not hard to see that if you write to an object faster than it can actually write the data to | ||
its underlying resource then the write queue could grow without bound - eventually resulting in | ||
exhausting available memory. | ||
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To solve this problem a simple flow control capability is provided by some objects in the Vert.x API. | ||
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Any flow control aware object that can be written-to implements link:groovydoc/io/vertx/groovy/core/streams/ReadStream.html[`ReadStream`], | ||
and any flow control object that can be read-from is said to implement link:groovydoc/io/vertx/groovy/core/streams/WriteStream.html[`WriteStream`]. | ||
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Let's take an example where we want to read from a `ReadStream` and write the data to a `WriteStream`. | ||
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A very simple example would be reading from a link:groovydoc/io/vertx/groovy/core/net/NetSocket.html[`NetSocket`] on a server and writing back to the | ||
same `NetSocket` - since `NetSocket` implements both `ReadStream` and `WriteStream`, but you can | ||
do this between any `ReadStream` and any `WriteStream`, including HTTP requests and response, | ||
async files, WebSockets, etc. | ||
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A naive way to do this would be to directly take the data that's been read and immediately write it | ||
to the `NetSocket`, for example: | ||
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[source,java] | ||
---- | ||
def server = vertx.createNetServer([port:1234, host:"localhost"]); | ||
server.connectHandler({ sock -> | ||
sock.handler({ buffer -> | ||
sock.write(buffer); | ||
}); | ||
}).listen(); | ||
---- | ||
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There's a problem with the above example: If data is read from the socket faster than it can be | ||
written back to the socket, it will build up in the write queue of the `NetSocket`, eventually | ||
running out of RAM. This might happen, for example if the client at the other end of the socket | ||
wasn't reading very fast, effectively putting back-pressure on the connection. | ||
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Since `NetSocket` implements `WriteStream`, we can check if the `WriteStream` is full before | ||
writing to it: | ||
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[source,java] | ||
---- | ||
def server = vertx.createNetServer([port:1234, host:"localhost"]); | ||
server.connectHandler({ sock -> | ||
sock.handler({ buffer -> | ||
if (!sock.writeQueueFull()) { | ||
sock.write(buffer); | ||
}; | ||
}); | ||
}).listen(); | ||
---- | ||
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This example won't run out of RAM but we'll end up losing data if the write queue gets full. What we | ||
really want to do is pause the `NetSocket` when the write queue is full. Let's do that: | ||
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[source,java] | ||
---- | ||
def server = vertx.createNetServer([port:1234, host:"localhost"]); | ||
server.connectHandler({ sock -> | ||
sock.handler({ buffer -> | ||
sock.write(buffer); | ||
if (sock.writeQueueFull()) { | ||
sock.pause(); | ||
}; | ||
}); | ||
}).listen(); | ||
---- | ||
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We're almost there, but not quite. The `NetSocket` now gets paused when the file is full, but we also need to unpause | ||
it when the write queue has processed its backlog: | ||
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[source,java] | ||
---- | ||
def server = vertx.createNetServer([port:1234, host:"localhost"]); | ||
server.connectHandler({ sock -> | ||
sock.handler({ buffer -> | ||
sock.write(buffer); | ||
if (sock.writeQueueFull()) { | ||
sock.pause(); | ||
sock.drainHandler({ done -> | ||
sock.resume(); | ||
}); | ||
}; | ||
}); | ||
}).listen(); | ||
---- | ||
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And there we have it. The link:groovydoc/io/vertx/groovy/core/streams/WriteStream.html#drainHandler(io.vertx.core.Handler)[`drainHandler`] event handler will | ||
get called when the write queue is ready to accept more data, this resumes the `NetSocket` which | ||
allows it to read more data. | ||
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It's very common to want to do this when writing Vert.x applications, so we provide a helper class | ||
called link:groovydoc/io/vertx/groovy/core/streams/Pump.html[`Pump`] which does all this hard work for you. You just feed it the `ReadStream` and | ||
the `WriteStream` and it tell it to start: | ||
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[source,java] | ||
---- | ||
import io.vertx.groovy.core.streams.Pump | ||
def server = vertx.createNetServer([port:1234, host:"localhost"]); | ||
server.connectHandler({ sock -> | ||
Pump.pump(sock, sock).start(); | ||
}).listen(); | ||
---- | ||
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Which does exactly the same thing as the more verbose example. | ||
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Let's look at the methods on `ReadStream` and `WriteStream` in more detail: | ||
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=== ReadStream | ||
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`ReadStream` is implemented by link:groovydoc/io/vertx/groovy/core/http/HttpClientResponse.html[`HttpClientResponse`], link:groovydoc/io/vertx/groovy/core/datagram/DatagramSocket.html[`DatagramSocket`], | ||
link:groovydoc/io/vertx/groovy/core/http/HttpClientRequest.html[`HttpClientRequest`], link:groovydoc/io/vertx/groovy/core/http/HttpServerFileUpload.html[`HttpServerFileUpload`], | ||
link:groovydoc/io/vertx/groovy/core/http/HttpServerRequest.html[`HttpServerRequest`], link:groovydoc/io/vertx/groovy/core/http/HttpServerRequestStream.html[`HttpServerRequestStream`], | ||
link:groovydoc/io/vertx/groovy/core/eventbus/MessageConsumer.html[`MessageConsumer`], link:groovydoc/io/vertx/groovy/core/net/NetSocket.html[`NetSocket`], link:groovydoc/io/vertx/groovy/core/net/NetSocketStream.html[`NetSocketStream`], | ||
link:groovydoc/io/vertx/groovy/core/http/WebSocket.html[`WebSocket`], link:groovydoc/io/vertx/groovy/core/http/WebSocketStream.html[`WebSocketStream`], link:groovydoc/io/vertx/groovy/core/TimeoutStream.html[`TimeoutStream`], | ||
link:groovydoc/io/vertx/groovy/core/file/AsyncFile.html[`AsyncFile`]. | ||
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Functions: | ||
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- link:groovydoc/io/vertx/groovy/core/streams/ReadStream.html#handler(io.vertx.core.Handler)[`handler`]: | ||
set a handler which will receive items from the ReadStream. | ||
- link:groovydoc/io/vertx/groovy/core/streams/ReadStream.html#pause()[`pause`]: | ||
pause the handler. When paused no items will be received in the handler. | ||
- link:groovydoc/io/vertx/groovy/core/streams/ReadStream.html#resume()[`resume`]: | ||
resume the handler. The handler will be called if any item arrives. | ||
- link:groovydoc/io/vertx/groovy/core/streams/ReadStream.html#exceptionHandler(io.vertx.core.Handler)[`exceptionHandler`]: | ||
Will be called if an exception occurs on the ReadStream. | ||
- link:groovydoc/io/vertx/groovy/core/streams/ReadStream.html#endHandler(io.vertx.core.Handler)[`endHandler`]: | ||
Will be called when end of stream is reached. This might be when EOF is reached if the ReadStream represents a file, | ||
or when end of request is reached if it's an HTTP request, or when the connection is closed if it's a TCP socket. | ||
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=== WriteStream | ||
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`WriteStream` is implemented by link:groovydoc/io/vertx/groovy/core/http/HttpClientRequest.html[`HttpClientRequest`], link:groovydoc/io/vertx/groovy/core/http/HttpServerResponse.html[`HttpServerResponse`] | ||
link:groovydoc/io/vertx/groovy/core/http/WebSocket.html[`WebSocket`], link:groovydoc/io/vertx/groovy/core/net/NetSocket.html[`NetSocket`], link:groovydoc/io/vertx/groovy/core/file/AsyncFile.html[`AsyncFile`], | ||
link:groovydoc/io/vertx/groovy/core/datagram/PacketWritestream.html[`PacketWritestream`] and link:groovydoc/io/vertx/groovy/core/eventbus/MessageProducer.html[`MessageProducer`] | ||
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Functions: | ||
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- link:groovydoc/io/vertx/groovy/core/streams/WriteStream.html#write(java.lang.Object)[`write`]: | ||
write an object to the WriteStream. This method will never block. Writes are queued internally and asynchronously | ||
written to the underlying resource. | ||
- link:groovydoc/io/vertx/groovy/core/streams/WriteStream.html#setWriteQueueMaxSize(int)[`setWriteQueueMaxSize`]: | ||
set the number of object at which the write queue is considered _full_, and the method link:groovydoc/io/vertx/groovy/core/streams/WriteStream.html#writeQueueFull()[`writeQueueFull`] | ||
returns `true`. Note that, when the write queue is considered full, if write is called the data will still be accepted | ||
and queued. The actual number depends on the stream implementation, for link:groovydoc/io/vertx/groovy/core/buffer/Buffer.html[`Buffer`] the size | ||
represents the actual number of bytes written and not the number of buffers. | ||
- link:groovydoc/io/vertx/groovy/core/streams/WriteStream.html#writeQueueFull()[`writeQueueFull`]: | ||
returns `true` if the write queue is considered full. | ||
- link:groovydoc/io/vertx/groovy/core/streams/WriteStream.html#exceptionHandler(io.vertx.core.Handler)[`exceptionHandler`]: | ||
Will be called if an exception occurs on the `WriteStream`. | ||
- link:groovydoc/io/vertx/groovy/core/streams/WriteStream.html#drainHandler(io.vertx.core.Handler)[`drainHandler`]: | ||
The handler will be called if the `WriteStream` is considered no longer full. | ||
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=== Pump | ||
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Instances of Pump have the following methods: | ||
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- link:groovydoc/io/vertx/groovy/core/streams/Pump.html#start()[`start`]: | ||
Start the pump. | ||
- link:groovydoc/io/vertx/groovy/core/streams/Pump.html#stop()[`stop`]: | ||
Stops the pump. When the pump starts it is in stopped mode. | ||
- link:groovydoc/io/vertx/groovy/core/streams/Pump.html#setWriteQueueMaxSize(int)[`setWriteQueueMaxSize`]: | ||
This has the same meaning as link:groovydoc/io/vertx/groovy/core/streams/WriteStream.html#setWriteQueueMaxSize(int)[`setWriteQueueMaxSize`] on the `WriteStream`. | ||
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A pump can be started and stopped multiple times. | ||
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When a pump is first created it is _not_ started. You need to call the `start()` method to start it. |
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