Java中synchronized与ReentrantLock性能对比

红太狼 2021-09-24 15:02 339阅读 0赞

前两天逛博客的时候看到有个人写了一篇博客说ReentrantLock比synchronized慢，这就很违反我的认知了，详细看了他的博客和测试代码，发现了他测试的不严谨，并在评论中友好地指出了他的问题，结果他直接把博客给删了 删了 了……

很多老一辈的程序猿对有synchronized有个 **性能差** 的刻板印象，然后极力推崇使用java.util.concurrent包中的lock类，如果你追问他们synchronized和lock实现性能差多少，估计没几个人能答出来。 说到这你是不是也很想知道我的测试结果？ synchronized与ReentrantLock所实现的功能差不多，用途也大幅度重合，索性我们就来测测这二者的性能差异。

## 实测结果 ##

> 测试平台：jdk11, MacBook Pro (13-inch, 2017) , jmh测试

测试代码如下：  
public class LockTest \{

private static Object lock = new Object();
    private static ReentrantLock reentrantLock = new ReentrantLock();
    
    private static long cnt = 0;
    
    @Benchmark
    @Measurement(iterations = 2)
    @Threads(10)
    @Fork(0)
    @Warmup(iterations = 5, time = 10)
    public void testWithoutLock(){
        doSomething();
    }
    
    @Benchmark
    @Measurement(iterations = 2)
    @Threads(10)
    @Fork(0)
    @Warmup(iterations = 5, time = 10)
    public void testReentrantLock(){
        reentrantLock.lock();
        doSomething();
        reentrantLock.unlock();
    }
    
    @Benchmark
    @Measurement(iterations = 2)
    @Threads(10)
    @Fork(0)
    @Warmup(iterations = 5, time = 10)
    public void testSynchronized(){
        synchronized (lock) {
            doSomething();
        }
    }
    
    private void doSomething() {
        cnt += 1;
        if (cnt >= (Long.MAX_VALUE >> 1)) {
            cnt = 0;
        }
    }
    
    public static void main(String[] args) {
        Options options = new OptionsBuilder().include(LockTest.class.getSimpleName()).build();
        try {
            new Runner(options).run();
        } catch (Exception e) {
    
        } finally {
        }
    }

Benchmark                    Mode  Cnt          Score   Error  Units
    LockTest.testReentrantLock  thrpt    2   32283819.289          ops/s
    LockTest.testSynchronized   thrpt    2   25325244.320          ops/s
    LockTest.testWithoutLock    thrpt    2  641215542.492          ops/s

没错synchronized性能确实更差，但就只差20%左右，第一次测试的时候我也挺诧异的，知道synchronized会差，但那种预期中几个数量级的差异却没有出现。 于是我又把@Threads线程数调大了，增加了多线程之间竞争的可能性，得到了如下的结果。  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3hpbmRvbw_size_16_color_FFFFFF_t_70_pic_center]

Benchmark                    Mode  Cnt          Score   Error  Units
    LockTest.testReentrantLock  thrpt    2   29464798.051          ops/s
    LockTest.testSynchronized   thrpt    2   22346035.066          ops/s
    LockTest.testWithoutLock    thrpt    2  383047064.795          ops/s

性能差异稍有拉开，但还是在同一量级上。

## 结论 ##

无可置疑，synchronized的性能确实要比ReentrantLock差个20%-30%，那是不是代码中所有用到synchronized的地方都应该换成lock？ 非也，仔细想想看，ReentrantLock几乎和可以替代任何使用synchronized的场景，而且性能更好，那为什么jdk一直要留着这个关键词呢？而且完全没有任何想要废弃它的想法。

黑格尔说过**存在即合理**， synchronized因多线程应运而生，它的存在也大幅度简化了Java多线程的开发。没错，它的优势就是使用简单，你不需要显示去加减锁，相比之下ReentrantLock的使用就繁琐的多了，你加完锁之后还得考虑到各种情况下的锁释放，稍不留神就一个bug埋下了。  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3hpbmRvbw_size_16_color_FFFFFF_t_70_pic_center 1]  
但ReentrantLock的繁琐之下，它也提供了更复杂的api，足以应对更多更复杂的需求，详细可以参考我之前的博客[ReentrantLock源码解析][ReentrantLock]。

如今synchronized与ReentrantLock二者的性能差异不再是选谁的主要因素，你在做选择的时候更应该考虑的是其易用性、功能性和代码的可维护性…… 二者30%的性能差异决定不了什么，如果你真想优化代码的性能，你应该选择的是其他的切入点，而不是斤斤计较这个，切记不要拣了芝麻丢了西瓜。

文章本该到这里就结束了，但我仍然好奇为什么synchronized给老一辈java程序猿留下了性能差的印象，无奈jdk1.5及之前的资料已经比较久远 不太好找，但是jdk1.6对synchronized的性能提升做了啥还是很好找的。

## jdk对synchronized优化了啥？ ##

如果你对代码段加了synchronized的，jvm编译后就会在其前后分别插入monitorenter和monitorexit指令，如下：

void onlyMe(Foo f) { 
        synchronized(f) { 
            doSomething();
        }
    }

编译后：

Method void onlyMe(Foo)
    0   aload_1             // Push f
    1   dup                 // Duplicate it on the stack
    2   astore_2            // Store duplicate in local variable 2
    3   monitorenter        // Enter the monitor associated with f
    4   aload_0             // Holding the monitor, pass this and...
    5   invokevirtual #5    // ...call Example.doSomething()V
    8   aload_2             // Push local variable 2 (f)
    9   monitorexit         // Exit the monitor associated with f
    10  goto 18             // Complete the method normally
    13  astore_3            // In case of any throw, end up here
    14  aload_2             // Push local variable 2 (f)
    15  monitorexit         // Be sure to exit the monitor!
    16  aload_3             // Push thrown value...
    17  athrow              // ...and rethrow value to the invoker
    18  return              // Return in the normal case
    Exception table:
    From    To      Target      Type
    4       10      13          any
    13      16      13          any

加锁和释放锁的性能消耗其实就体现在了 monitorenter和monitorexit两个指令上了，如果是优化性能，肯定也是在这两个指令上优化了。 查阅《Java并发编程的艺术》发现，Java6为了减少锁获取和释放带来的性能消耗，引入了锁分级的策略。 将锁状态分别分成 **无锁、偏向锁、轻量级锁、重量级锁** 四个状态，其性能依次递减。但所幸因为局部性的存在，大多数并发情况下偏向锁或者轻量级锁就能满足我们的需求，而且锁只有在竞争严重的情况下才会升级，所以大多数情况下synchronized性能也不会太差。

由此，我们可以大致反推出在jdk1.6之前，锁是不分级的，只有重量级锁，线程只要没获取到锁就阻塞，从而导致其性能低下。

最后我在jdk11u的源码里找到了monitorenter和monitorexit的x86版本的实现(汇编指令和具体平台相关)献给大家，欢迎有志之士研读下。

//-----------------------------------------------------------------------------
    // Synchronization
    //
    // Note: monitorenter & exit are symmetric routines; which is reflected
    // in the assembly code structure as well
    //
    // Stack layout:
    //
    // [expressions ] <--- rsp = expression stack top
    // ..
    // [expressions ]
    // [monitor entry] <--- monitor block top = expression stack bot
    // ..
    // [monitor entry]
    // [frame data ] <--- monitor block bot
    // ...
    // [saved rbp ] <--- rbp
    void TemplateTable::monitorenter() { 
      transition(atos, vtos);
    
      // check for NULL object
      __ null_check(rax);
    
      const Address monitor_block_top(
            rbp, frame::interpreter_frame_monitor_block_top_offset * wordSize);
      const Address monitor_block_bot(
            rbp, frame::interpreter_frame_initial_sp_offset * wordSize);
      const int entry_size = frame::interpreter_frame_monitor_size() * wordSize;
    
      Label allocated;
    
      Register rtop = LP64_ONLY(c_rarg3) NOT_LP64(rcx);
      Register rbot = LP64_ONLY(c_rarg2) NOT_LP64(rbx);
      Register rmon = LP64_ONLY(c_rarg1) NOT_LP64(rdx);
    
      // initialize entry pointer
      __ xorl(rmon, rmon); // points to free slot or NULL
    
      // find a free slot in the monitor block (result in rmon)
      { 
        Label entry, loop, exit;
        __ movptr(rtop, monitor_block_top); // points to current entry,
                                            // starting with top-most entry
        __ lea(rbot, monitor_block_bot);    // points to word before bottom
                                            // of monitor block
        __ jmpb(entry);
    
        __ bind(loop);
        // check if current entry is used
        __ cmpptr(Address(rtop, BasicObjectLock::obj_offset_in_bytes()), (int32_t) NULL_WORD);
        // if not used then remember entry in rmon
        __ cmovptr(Assembler::equal, rmon, rtop);   // cmov => cmovptr
        // check if current entry is for same object
        __ cmpptr(rax, Address(rtop, BasicObjectLock::obj_offset_in_bytes()));
        // if same object then stop searching
        __ jccb(Assembler::equal, exit);
        // otherwise advance to next entry
        __ addptr(rtop, entry_size);
        __ bind(entry);
        // check if bottom reached
        __ cmpptr(rtop, rbot);
        // if not at bottom then check this entry
        __ jcc(Assembler::notEqual, loop);
        __ bind(exit);
      }
    
      __ testptr(rmon, rmon); // check if a slot has been found
      __ jcc(Assembler::notZero, allocated); // if found, continue with that one
    
      // allocate one if there's no free slot
      { 
        Label entry, loop;
        // 1. compute new pointers // rsp: old expression stack top
        __ movptr(rmon, monitor_block_bot); // rmon: old expression stack bottom
        __ subptr(rsp, entry_size);         // move expression stack top
        __ subptr(rmon, entry_size);        // move expression stack bottom
        __ mov(rtop, rsp);                  // set start value for copy loop
        __ movptr(monitor_block_bot, rmon); // set new monitor block bottom
        __ jmp(entry);
        // 2. move expression stack contents
        __ bind(loop);
        __ movptr(rbot, Address(rtop, entry_size)); // load expression stack
                                                    // word from old location
        __ movptr(Address(rtop, 0), rbot);          // and store it at new location
        __ addptr(rtop, wordSize);                  // advance to next word
        __ bind(entry);
        __ cmpptr(rtop, rmon);                      // check if bottom reached
        __ jcc(Assembler::notEqual, loop);          // if not at bottom then
                                                    // copy next word
      }
    
      // call run-time routine
      // rmon: points to monitor entry
      __ bind(allocated);
    
      // Increment bcp to point to the next bytecode, so exception
      // handling for async. exceptions work correctly.
      // The object has already been poped from the stack, so the
      // expression stack looks correct.
      __ increment(rbcp);
    
      // store object
      __ movptr(Address(rmon, BasicObjectLock::obj_offset_in_bytes()), rax);
      __ lock_object(rmon);
    
      // check to make sure this monitor doesn't cause stack overflow after locking
      __ save_bcp();  // in case of exception
      __ generate_stack_overflow_check(0);
    
      // The bcp has already been incremented. Just need to dispatch to
      // next instruction.
      __ dispatch_next(vtos);
    }
    
    void TemplateTable::monitorexit() { 
      transition(atos, vtos);
    
      // check for NULL object
      __ null_check(rax);
    
      const Address monitor_block_top(
            rbp, frame::interpreter_frame_monitor_block_top_offset * wordSize);
      const Address monitor_block_bot(
            rbp, frame::interpreter_frame_initial_sp_offset * wordSize);
      const int entry_size = frame::interpreter_frame_monitor_size() * wordSize;
    
      Register rtop = LP64_ONLY(c_rarg1) NOT_LP64(rdx);
      Register rbot = LP64_ONLY(c_rarg2) NOT_LP64(rbx);
    
      Label found;
    
      // find matching slot
      { 
        Label entry, loop;
        __ movptr(rtop, monitor_block_top); // points to current entry,
                                            // starting with top-most entry
        __ lea(rbot, monitor_block_bot);    // points to word before bottom
                                            // of monitor block
        __ jmpb(entry);
    
        __ bind(loop);
        // check if current entry is for same object
        __ cmpptr(rax, Address(rtop, BasicObjectLock::obj_offset_in_bytes()));
        // if same object then stop searching
        __ jcc(Assembler::equal, found);
        // otherwise advance to next entry
        __ addptr(rtop, entry_size);
        __ bind(entry);
        // check if bottom reached
        __ cmpptr(rtop, rbot);
        // if not at bottom then check this entry
        __ jcc(Assembler::notEqual, loop);
      }

## 参考资料 ##

1.  Java Virtual Machine Specification [3.14. Synchronization][]
2.  《Java并发编程的艺术》 2.2 synchronized的实现原理和应用

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[ReentrantLock]: https://blog.csdn.net/xindoo/article/details/103637547
[3.14. Synchronization]: https://docs.oracle.com/javase/specs/jvms/se11/html/jvms-3.html#jvms-3.14