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What the hell is fastthreadlocal? The existence of ThreadLocal!!
2020-11-06 21:09:00 【Java technology stack】
ThreadLocal We all know it's a thread local variable , Today, the storekeeper introduces another artifact :FastThreadLocal, Literally :Fast + ThreadLocal, A quick one ThreadLocal? What the hell is this ?
One 、FastThreadLocal brief introduction
FastThreadLocal Not at all JDK Self contained , But in Netty A wheel made in China ,Netty Why make wheels over and over again ?
Take a look at the annotation definition in its source code :
/**
* A special variant of {@link ThreadLocal} that yields higher access performance when accessed from a
* {@link FastThreadLocalThread}.
* <p>
* Internally, a {@link FastThreadLocal} uses a constant index in an array, instead of using hash code and hash table,
* to look for a variable. Although seemingly very subtle, it yields slight performance advantage over using a hash
* table, and it is useful when accessed frequently.
* </p><p>
* To take advantage of this thread-local variable, your thread must be a {@link FastThreadLocalThread} or its subtype.
* By default, all threads created by {@link DefaultThreadFactory} are {@link FastThreadLocalThread} due to this reason.
* </p><p>
* Note that the fast path is only possible on threads that extend {@link FastThreadLocalThread}, because it requires
* a special field to store the necessary state. An access by any other kind of thread falls back to a regular
* {@link ThreadLocal}.
* </p>
*
* @param <V> the type of the thread-local variable
* @see ThreadLocal
*/
public class FastThreadLocal<V> {
...
}
FastThreadLocal It's a special one ThreadLocal variant , When from thread class FastThreadLocalThread Medium visit FastThreadLocalm Can get higher access performance . If you don't know what is ThreadLocal, You can pay attention to the official account. Java Technology stack read the article I shared earlier .
Two 、FastThreadLocal Why fast ?
stay FastThreadLocal Inside , Index constants are used instead of Hash Code Hash table , The source code is as follows :
private final int index;
public FastThreadLocal() {
index = InternalThreadLocalMap.nextVariableIndex();
}
public static int nextVariableIndex() {
int index = nextIndex.getAndIncrement();
if (index < 0) {
nextIndex.decrementAndGet();
throw new IllegalStateException("too many thread-local indexed variables");
}
return index;
}
FastThreadLocal An index constant is maintained internally index, This constant is created each time FastThreadLocal Zhongdu will automatically +1, Thus, the non repetition of subscripts is ensured .
This has to be done, although it will produce a lot of index, But it avoided being in the ThreadLocal Index subscript position calculation and processing in hash Loss caused by conflict , Therefore, the use of fixed subscripts in the operation of arrays has certain performance advantages over the use of computed hash subscripts , Especially when it is used frequently , Trade space for time , That's high performance Netty The subtlety of .
Use FastThreadLocal Performance advantages , It must be used in combination FastThreadLocalThread Thread class or its subclass , because FastThreadLocalThread The thread class stores the necessary state , If you use non FastThreadLocalThread The thread class goes back to normal ThreadLocal.
Netty Provides inheritance classes and thread classes that implement interfaces :
- FastThreadLocalRunnable
- FastThreadLocalThread
Netty Also provided DefaultThreadFactory
Factory , All by DefaultThreadFactory
The default thread created by the factory class is FastThreadLocalThread type , Take a look at how it was created :
First create FastThreadLocalRunnable, To create a FastThreadLocalThread, Match with friends , Work is not tiring , It must be used together “ fast ”.
3、 ... and 、FastThreadLocal actual combat
To use FastThreadLocal You need to import Netty Rely on the :
<dependency>
<groupId>io.netty</groupId>
<artifactId>netty-all</artifactId>
<version>4.1.52.Final</version>
</dependency>
Write a test sample :
import io.netty.util.concurrent.DefaultThreadFactory;
import io.netty.util.concurrent.FastThreadLocal;
public class FastThreadLocalTest {
public static final int MAX = 100000;
public static void main(String[] args) {
new Thread(() -> threadLocal()).start();
new Thread(() -> fastThreadLocal()).start();
}
private static void fastThreadLocal() {
long start = System.currentTimeMillis();
DefaultThreadFactory defaultThreadFactory = new DefaultThreadFactory(FastThreadLocalTest.class);
FastThreadLocal<String>[] fastThreadLocal = new FastThreadLocal[MAX];
for (int i = 0; i < MAX; i++) {
fastThreadLocal[i] = new FastThreadLocal<>();
}
Thread thread = defaultThreadFactory.newThread(() -> {
for (int i = 0; i < MAX; i++) {
fastThreadLocal[i].set("java: " + i);
}
System.out.println("fastThreadLocal set: " + (System.currentTimeMillis() - start));
for (int i = 0; i < MAX; i++) {
for (int j = 0; j < MAX; j++) {
fastThreadLocal[i].get();
}
}
});
thread.start();
try {
thread.join();
} catch (InterruptedException e) {
e.printStackTrace();
}
System.out.println("fastThreadLocal total: " + (System.currentTimeMillis() - start));
}
private static void threadLocal() {
long start = System.currentTimeMillis();
ThreadLocal<String>[] threadLocals = new ThreadLocal[MAX];
for (int i = 0; i < MAX; i++) {
threadLocals[i] = new ThreadLocal<>();
}
Thread thread = new Thread(() -> {
for (int i = 0; i < MAX; i++) {
threadLocals[i].set("java: " + i);
}
System.out.println("threadLocal set: " + (System.currentTimeMillis() - start));
for (int i = 0; i < MAX; i++) {
for (int j = 0; j < MAX; j++) {
threadLocals[i].get();
}
}
});
thread.start();
try {
thread.join();
} catch (InterruptedException e) {
e.printStackTrace();
}
System.out.println("threadLocal total: " + (System.currentTimeMillis() - start));
}
}
Results output :
It can be seen that , In front of a lot of reading and writing , The efficiency of the write operation is about the same , But read operations FastThreadLocal Than ThreadLocal Fast is not an order of magnitude , It's a second kill ThreadLocal The existence of .
When I put MAX Value to 1000 when , Results output :
When there are few read and write operations ,ThreadLocal Obviously better !
The example above is a single thread testing multiple *ThreadLocal, That is, array form , in addition , I also tested multithreading single *ThreadLocal, Now FastThreadLocal Efficiency will obviously lag behind ThreadLocal..
The last thing to say is , After use FastThreadLocal Not after that remove 了 , Because in FastThreadLocalRunnable Remove logic has been added to , All variables bound to the current thread are removed when the thread runs out .
therefore , Use FastThreadLocal Will the probability of memory overflow be lower than ThreadLocal?
not always , because FastThreadLocal A lot of index Constant , The so-called space for time , So feel FastThreadLocal The probability of memory overflow is higher , But the good news is that every time you use it, it will automatically remove.
Four 、 summary
Netty Medium FastThreadLocal In a large number of frequent read and write operations, the efficiency is higher than ThreadLocal, But we should pay attention to the combination Netty Self contained thread class , This could be Netty Why one of the mysteries of high performance !
If there is not a large number of frequent read and write operations ,JDK Self contained ThreadLocal sufficient , And the performance is better than that FastThreadLocal.
Okay , Today's sharing is here , Feel useful , Forward to share .
Last ,Java The series will continue to be updated , Focus on Java Technology stack official account for the first time push , You can also get history from the official account menu. Java course , Is dry .
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