Java8中的Contended注解的作用

Contended注解了解

JDK8中的Contended注解源碼:

/**
 * <p>An annotation expressing that objects and/or their fields are
 * expected to encounter memory contention, generally in the form of
 * "false sharing". This annotation serves as a hint that such objects
 * and fields should reside in locations isolated from those of other
 * objects or fields. Susceptibility to memory contention is a
 * property of the intended usages of objects and fields, not their
 * types or qualifiers. The effects of this annotation will nearly
 * always add significant space overhead to objects. The use of
 * {@code @Contended} is warranted only when the performance impact of
 * this time/space tradeoff is intrinsically worthwhile; for example,
 * in concurrent contexts in which each instance of the annotated
 * class is often accessed by a different thread.
 *
 * <p>A {@code @Contended} field annotation may optionally include a
 * <i>contention group</i> tag. A contention group defines a set of one
 * or more fields that collectively must be isolated from all other
 * contention groups. The fields in the same contention group may not be
 * pairwise isolated. With no contention group tag (or with the default
 * empty tag: "") each {@code @Contended} field resides in its own
 * <i>distinct</i> and <i>anonymous</i> contention group.
 *
 * <p>When the annotation is used at the class level, the effect is
 * equivalent to grouping all the declared fields not already having the
 * {@code @Contended} annotation into the same anonymous group.
 * With the class level annotation, implementations may choose different
 * isolation techniques, such as isolating the entire object, rather than
 * isolating distinct fields. A contention group tag has no meaning
 * in a class level {@code @Contended} annotation, and is ignored.
 *
 * <p>The class level {@code @Contended} annotation is not inherited and has
 * no effect on the fields declared in any sub-classes. The effects of all
 * {@code @Contended} annotations, however, remain in force for all
 * subclass instances, providing isolation of all the defined contention
 * groups. Contention group tags are not inherited, and the same tag used
 * in a superclass and subclass, represent distinct contention groups.
 *
 * @since 1.8
 */
@Retention(RetentionPolicy.RUNTIME)
@Target({ElementType.FIELD, ElementType.TYPE})
public @interface Contended {

    /**
     * The (optional) contention group tag.
     * This tag is only meaningful for field level annotations.
     *
     * @return contention group tag.
     */
    String value() default "";
}

從源碼的注釋中,我們可以大致得出這樣的結(jié)論:
使用@Contended來(lái)保證被標(biāo)識(shí)的字段或者類不與其他字段出現(xiàn)內(nèi)存爭(zhēng)用。

那么什么是是內(nèi)存爭(zhēng)用?首先我們需要了解CPU是如何從內(nèi)存中讀取數(shù)據(jù)的。

緩存行

CPU讀取內(nèi)存數(shù)據(jù).jpg

為了提高IO效率,CPU每次從內(nèi)存讀取數(shù)據(jù)并不是只讀取我們需要計(jì)算的數(shù)據(jù),而是將我們需要的數(shù)據(jù)周圍的64個(gè)字節(jié)(intel處理器的緩存行是64字節(jié))的數(shù)據(jù)一次性全部讀取到緩存中。這64個(gè)字節(jié)的數(shù)據(jù)就稱為一個(gè)緩存行。

假設(shè)現(xiàn)在有兩個(gè)線程都需要緩存行1(見(jiàn)圖)中的數(shù)據(jù)做運(yùn)算,假設(shè)CPU1需要緩存行1中的第一個(gè)字節(jié)數(shù)據(jù)做運(yùn)算,CPU2需要緩存行1中的第二個(gè)字節(jié)做運(yùn)算。此時(shí)CPU1和CPU2都需要將緩存行1讀取到緩存中,這樣就有可能出現(xiàn)緩存不一致現(xiàn)象,為了保證緩存一致性,出現(xiàn)了很多種的緩存一致性協(xié)議,其中intel使用了MESI協(xié)議來(lái)保證緩存一致性。簡(jiǎn)單的說(shuō),當(dāng)CPU1對(duì)緩存行1中的數(shù)據(jù)做了修改時(shí),會(huì)通知CPU2,告訴他數(shù)據(jù)我修改了,你那邊作廢了,需要重新從內(nèi)存讀取。反之,CPU2對(duì)數(shù)據(jù)做出修改,CPU1也需要重新讀取。這樣就會(huì)導(dǎo)致大量的IO操作,導(dǎo)致性能降低。

為了避免這種現(xiàn)象,我們需要想辦法將這兩個(gè)數(shù)據(jù)放到不同的緩存行中,這樣就可以避免頻繁的讀取數(shù)據(jù),增加性能。有一種做法是這樣的:

public long p1,p2,p3,p4,p5,p6,p7; // cache line padding
private volatile long cursor;
public long p8,p9,p10,p11,p12,p13,p14;// cache line padding

使用額外的字段來(lái)對(duì)齊緩存行,讓cursor字段保證不與其他字段存在同一個(gè)緩存行。

Jdk8為我們提供了Contended注解,也是同樣的作用。下面我們用兩個(gè)小程序來(lái)測(cè)試添加Contended注解和不添加Contended注解的差異。

package com.vertxjava.proxy;

public class ContendedDemo {
    
    public volatile long x;
    public volatile long y;

    public static void main(String[] args) throws InterruptedException {
        
        ContendedDemo cd = new ContendedDemo();

        Thread thread1 = new Thread(() -> {
            for (int i = 0; i < 1_0000_0000L; i++) {
                cd.x = i;
            }
        });

        Thread thread2 = new Thread(() -> {
            for (int i = 0; i < 1_0000_0000L; i++) {
                cd.y = i;
            }
        });

        long start = System.currentTimeMillis();
        thread1.start();
        thread2.start();
        thread1.join();
        thread2.join();
        System.out.println(System.currentTimeMillis() - start);

    }

}

我們定義了兩個(gè)變量x和y,并且使用兩個(gè)線程對(duì)這兩個(gè)變量做賦值操作。如果不加@Contended注解,x和y有很大概率位于同一個(gè)緩存行。就會(huì)出現(xiàn)我們剛才所說(shuō)的頻繁的重新從內(nèi)存讀取數(shù)據(jù)。如果對(duì)x變量添加了@Contended注解,則可以保證x與y在不同的緩存行。

注意:如果想要@Contended注解起作用,需要在啟動(dòng)時(shí)添加JVM參數(shù):

-XX:-RestrictContended

測(cè)試結(jié)果

x和y都不增加@Contended注解:

public volatile long x;
public volatile long y;

運(yùn)行結(jié)果:

第一次 第二次 第三次 第四次 第五次 平均
2328ms 2357ms 2424ms 2453ms 2255ms 2363ms

平均耗時(shí):2363毫秒

x添加@Contended注解,y不增加:

@Contended
public volatile long x;
public volatile long y;

運(yùn)行結(jié)果:

第一次 第二次 第三次 第四次 第五次 平均
656ms 670ms 664ms 659ms 666ms 663ms

平均耗時(shí):663毫秒

可以看到,性能差距3倍多。

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