We have discussed the Handler
design in last blog: the InboundHandler
& OutboundHandler
, the handler
& childHandler
, the Servlet
vs Handler
. In this blog, we will dive into the thread pool abstraction in Netty
– EventLoop
.
EventLoop Basic
From our previous code example, we can see that what we used are EventLoopGroup
, which is a group of EventLoop
s, but what is EventLoop
on earth?
Loop & Pool
The EventLoop
, as its name indicates, is a infinite loop to handle IO events. A common implementation (NioEventLoop
) is like following:
protected void run() {
for (;;) {
try {
switch (selectStrategy.calculateStrategy(selectNowSupplier, hasTasks())) {
case SelectStrategy.CONTINUE:
continue;
case SelectStrategy.SELECT:
select(wakenUp.getAndSet(false));
if (wakenUp.get()) {
selector.wakeup();
}
default:
// fallthrough
}
if (ioRatio == 100) {
try {
processSelectedKeys();
} finally {
// Ensure we always run tasks.
runAllTasks();
}
// ...
}
} catch (Throwable t) {
handleLoopException(t);
}
}
}
When processSelectedKeys
, EventLoop
may use different worker thread to run the tasks that IO event brings. So, EventLoop
is also a thread pool.
In conclusion, EventLoop
is
EventLoop = Event Dispatcher + Thread Pool (worker to handle IO events from `Channel`s)
Channel Registration
In order to have the functionality to do the Event Dispatch, Channel
have to be registered in it, just like what we did in Java NIO
:
servChannel.register(selector, SelectionKey.OP_ACCEPT);
And EventLoopGroup
's comment proves it:
/**
* Special [`EventExecutorGroup`] which allows registering [`Channel`]s that get
* processed for later selection during the event loop.
*/
public interface EventLoopGroup extends EventExecutorGroup {
ChannelFuture register(Channel channel);
}
Different Impliementations
Netty
has many different ementations for EventLoop
:
DefaultEventLoop, NioEventLoop, SingleThreadEventLoop, ThreadPerChannelEventLoop etc
SingleThreadEventLoop
is the base class for DefaultEventLoop, NioEventLoop, ThreadPerChannelEventLoop
, which run all task in a single thread.
ThreadPerChannelEventLoop
is a implementation for OIO
, where every Channel
needs a thread. Today, we focus on NIO
related (IO multiplex) implementations, which is more widely used.
NioEventLoop
NioEventLoop
, which uses Java NIO as its underlying implementation, is actually a single thread pool. The coe concept in Java NIO
is Channel
, Selector
, Buffer
. We can find the usage of Channel
and Buffer
(although they are wrapped by Netty
's class and we will clarify them later in this serial of blog).
And the functionality of Selector
, which is the IO event dispatcher and choosing the right IO related code to execute is encapsulated in NioEventLoop
as following code shows (notice that the real IO event handling is what Handler
does, i.e. EventLoop
will just call Handler
).
private void processSelectedKey(SelectionKey k, AbstractNioChannel ch) {
try {
int readyOps = k.readyOps();
if ((readyOps & SelectionKey.OP_CONNECT) != 0) {
int ops = k.interestOps();
ops &= ~SelectionKey.OP_CONNECT;
k.interestOps(ops);
unsafe.finishConnect();
}
// Process OP_WRITE first as we may be able to write some queued buffers and so free memory.
if ((readyOps & SelectionKey.OP_WRITE) != 0) {
// Call forceFlush which will also take care of clear the OP_WRITE once there is nothing left to write
ch.unsafe().forceFlush();
}
// Also check for readOps of 0 to workaround possible JDK bug which may otherwise lead
// to a spin loop
if ((readyOps & (SelectionKey.OP_READ | SelectionKey.OP_ACCEPT)) != 0 || readyOps == 0) {
unsafe.read();
}
} catch (CancelledKeyException ignored) {
unsafe.close(unsafe.voidPromise());
}
}
EpollEventLoop
If we work in Linux
and want higher throughput, we can use EpollEventLoop
. It is implemented by JNI, which will invoke the system call like epoll
(it is only works on linux).
Compared with NioEventLoop
, EpollEventLoop
has following advantages:
- It is edge-triggered, rather than level-triggered like
NioEventLoop
, which is more efficient as here said; - It is implemented by C, which means
- It will cause less GC activity;
- It needs less
synchronized
; - It can expose more
Socket
config option than usingJava
'sSocket
;
Thread Issue
When it comes to the Thread Pool
and multiple thread coding, we need to be careful about the race conditions it may causes. So we need to find which thread will run the callback:
for a given connection, there can not be more than one wire runtime running
ChannelsHandler
code and functions back associates. In other words, within aChannelPipeline
, there is no need to worry about access competition issues, so we stay in this logic of not blocking the wires execution.
As the document specified, we don’t need to worry about the race condition if we don’t share variables using global variables. But this also require that our handler code not too time-consuming, otherwise the worker will be stuck and EventLoop
can’t dispatch events.
This non-access competition relies on an event loop that reuses a small number of threads executions that never get stuck, which makes it possible to maximize performance by reducing switching times betweethreads of execution.
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