Android 性能优化篇之SharedPreferences使用优化

SP的使用及存在的问题

SharedPreferences(以下简称SP)是Android本地存储的一种方式,是以key-value的形式存储在/data/data/项目包名/shared_prefs/sp_name.xml里,SP的使用示例及源码解析参见:Android本地存储之SharedPreferences源码解析。以下是SP的一些结论:

  • SharedPreferences读取xml文件时,会以DOM方式解析(把整个xml文件直接加载到内存中解析),在调用getXXX()方法时取到的是内存中的数据,方法执行时会有个锁来阻塞,目的是等待文件加载完毕,没加载完成之前会wait()
  • SP第一次初始化到读取到数据存在一定延迟,因为需要到文件中读取数据,因此可能会对UI线程流畅度造成一定影响,严重情况下会产生ANR。
  • SharedPreferences写文件时,如果调用的commit(),会将数据同步写入内存中,内存数据更新,再同步写入磁盘中;如果调用的apply(),会将数据同步写入内存中,内存数据更新,然后异步写人磁盘,也就是说可能写磁盘操作还没有完成就直接返回了。在UI线程中建议使用apply(),因为同步写磁盘,当文件较大时,commit()会等到写磁盘完成再返回,可能会有ANR问题。
  • 写文件时即使用的是apply()方法,依然有可能会造成ANR问题,

apply()流程分析

8.0以上

写文件流程

apply()为什么还会出现ANR呢?我们来看下apply()的逻辑(这里源码是看的API30的):

//SharedPreferencesImpl.EditorImpl.java
@Override
public void apply() {
    final long startTime = System.currentTimeMillis();
    //写入内存
    final MemoryCommitResult mcr = commitToMemory();
    //这里的操作时为了CountDownLatch实现等待效果
    final Runnable awaitCommit = new Runnable() {
            @Override
            public void run() {
                try {
                    //writtenToDiskLatch类型是CountDownLatch(1)
                    mcr.writtenToDiskLatch.await();
                } catch (InterruptedException ignored) {
                }
               }
            }
        };
    //将awaitCommit加入队列中,后续Activity的onStop()中会执行这个Runnable等待
    QueuedWork.addFinisher(awaitCommit);

    Runnable postWriteRunnable = new Runnable() {
            @Override
            public void run() {
                awaitCommit.run();
                QueuedWork.removeFinisher(awaitCommit);
            }
        };
    //文件写入操作
    SharedPreferencesImpl.this.enqueueDiskWrite(mcr, postWriteRunnable);
}
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QueuedWork.addFinisher(awaitCommit)awaitCommit加入到队列中,awaitCommit在执行时利用CountDownLatch机制可以实现对当前线程的阻塞效果,后续ActivityonStop()中会将这里的awaitCommit取出来执行,即UI线程会阻塞等待sp文件写入磁盘,写入操作是通过SharedPreferencesImpl#enqueueDiskWrite()完成的,写入成功后会通过writtenToDiskLatch.countDown()释放awaitCommit中的锁,如果写入操作比较耗时,就会造成ANR问题。

//SharedPreferencesImpl.java
private void enqueueDiskWrite(final MemoryCommitResult mcr,
                              final Runnable postWriteRunnable) {
    final boolean isFromSyncCommit = (postWriteRunnable == null);

    final Runnable writeToDiskRunnable = new Runnable() {
            @Override
            public void run() {
                synchronized (mWritingToDiskLock) {
                    //写入磁盘操作
                    writeToFile(mcr, isFromSyncCommit);
                }
                synchronized (mLock) {
                    mDiskWritesInFlight--;
                }
                if (postWriteRunnable != null) {
                    postWriteRunnable.run();
                }
            }
        };

    //commit()会在当前线程进行写入操作
    if (isFromSyncCommit) {
        boolean wasEmpty = false;
        synchronized (mLock) {
            wasEmpty = mDiskWritesInFlight == 1;
        }
        if (wasEmpty) {
            writeToDiskRunnable.run();
            return;
        }
    }

    QueuedWork.queue(writeToDiskRunnable, !isFromSyncCommit);
}
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//QueuedWork.java
public static void queue(Runnable work, boolean shouldDelay) {
    Handler handler = getHandler();

    synchronized (sLock) {
        sWork.add(work);

        if (shouldDelay && sCanDelay) {
            handler.sendEmptyMessageDelayed(QueuedWorkHandler.MSG_RUN, DELAY);
        } else {
            handler.sendEmptyMessage(QueuedWorkHandler.MSG_RUN);
        }
    }
}

//构造一个Handler并传入HandlerThread的Looper,即Handler会在子线程中处理消息
private static Handler getHandler() {
    synchronized (sLock) {
        if (sHandler == null) {
            HandlerThread handlerThread = new HandlerThread("queued-work-looper",
                    Process.THREAD_PRIORITY_FOREGROUND);
            handlerThread.start();

            sHandler = new QueuedWorkHandler(handlerThread.getLooper());
        }
        return sHandler;
    }
}

private static class QueuedWorkHandler extends Handler {
    static final int MSG_RUN = 1;

    QueuedWorkHandler(Looper looper) {
        super(looper);
    }

    public void handleMessage(Message msg) {
        if (msg.what == MSG_RUN) {
            processPendingWork();
        }
    }
}

private static void processPendingWork() {
    synchronized (sProcessingWork) {
        LinkedList<Runnable> work;

        synchronized (sLock) {
            work = (LinkedList<Runnable>) sWork.clone();
            sWork.clear();

            // Remove all msg-s as all work will be processed now
            getHandler().removeMessages(QueuedWorkHandler.MSG_RUN);
        }

        if (work.size() > 0) {
            //取出Runnable并执行
            for (Runnable w : work) {
                w.run();
            }
        }
    }
}
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QueuedWork.waitToFinish()

Activity的onStop()Service的onDestroy()执行时,都会调用到QueuedWork.waitToFinish()方法**:

//ActivityThread.java
private void handleStopService(IBinder token) {
    Service s = mServices.remove(token);
    if (s != null) {
        try {
            if (localLOGV) Slog.v(TAG, "Destroying service " + s);
            s.onDestroy();
            s.detachAndCleanUp();
            //看这里 看这里!!!
            QueuedWork.waitToFinish();
            //...其他代码...
        } catch (Exception e) {
        }
    }
}

@Override
public void handleStopActivity(IBinder token, int configChanges,
        PendingTransactionActions pendingActions, boolean finalStateRequest, String reason) {
    final ActivityClientRecord r = mActivities.get(token);
    r.activity.mConfigChangeFlags |= configChanges;

    final StopInfo stopInfo = new StopInfo();
    performStopActivityInner(r, stopInfo, true /* saveState */, finalStateRequest,
            reason);
    //大于API11的时候执行
    if (!r.isPreHoneycomb()) {
        //看这里 看这里!!!
        QueuedWork.waitToFinish();
    }
   //......
}
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Activity的onStop()Service中的onDestroy()都是间接在ActivityThread中的handleStopService()、handleStopActivity()执行的,这两个方法里都会执行到QueuedWork.waitToFinish()

public static void waitToFinish() {
    long startTime = System.currentTimeMillis();
    boolean hadMessages = false;

    Handler handler = getHandler();

    synchronized (sLock) {
        if (handler.hasMessages(QueuedWorkHandler.MSG_RUN)) {
            // Delayed work will be processed at processPendingWork() below
            handler.removeMessages(QueuedWorkHandler.MSG_RUN);
        }

        // We should not delay any work as this might delay the finishers
        sCanDelay = false;
    }

    StrictMode.ThreadPolicy oldPolicy = StrictMode.allowThreadDiskWrites();
    try {
        //把任务取出来,直接在当前线程处理 8.0之后才有的逻辑
        processPendingWork();
    } finally {
        StrictMode.setThreadPolicy(oldPolicy);
    }

    try {
        while (true) {
            Runnable finisher;

            synchronized (sLock) {
                //重点 看这里 看这里!!!
                finisher = sFinishers.poll();
            }

            if (finisher == null) {
                break;
            }
            finisher.run();
        }
    } finally {
        sCanDelay = true;
    }
   }
}
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这里的sFinishers中取的Runnable就是在写文件之前通过QueuedWork.addFinisher(awaitCommit)添加的,当取出awaitCommit执行时即会阻塞当前线程,如果apply()中写入磁盘时间过长导致awaitCommit的锁没有及时释放,UI线程就会因为长时间被阻塞得不到执行而出现ANR了。

用一张图来总结: SP隐患

图片来自:今日头条 ANR 优化实践系列 - 告别 SharedPreference 等待,所以结论是:使用apply()依然有可能会造成ANR问题。

8.0以下

写文件流程
public void apply() {
            final MemoryCommitResult mcr = commitToMemory();
            //这里的操作时为了CountDownLatch实现等待效果
            final Runnable awaitCommit = new Runnable() {
                    public void run() {
                        try {
                            mcr.writtenToDiskLatch.await();
                        } catch (InterruptedException ignored) {
                        }
                    }
                };

            QueuedWork.add(awaitCommit);

            Runnable postWriteRunnable = new Runnable() {
                    public void run() {
                        awaitCommit.run();
                        QueuedWork.remove(awaitCommit);
                    }
                };

            SharedPreferencesImpl.this.enqueueDiskWrite(mcr, postWriteRunnable);
        }
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QueuedWork.waitToFinish()
    public static void waitToFinish() {
        Runnable toFinish;
        while ((toFinish = sPendingWorkFinishers.poll()) != null) {
            toFinish.run();
        }
    }
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8.0以下的流程相对更简单一些,但核心流程是一样的,当在UI线程中调用到QueuedWork.waitToFinish()时,如果写入磁盘的操作还未完成且耗时比较长,都会引起UI线程ANR

如何优化

Jetpack DataStore替代

Jetpack DataStore 是一种改进的新数据存储解决方案,允许使用协议缓冲区存储键值对或类型化对象。DataStore 以异步、一致的事务方式存储数据,克服了 SharedPreferences(以下统称为SP)的一些缺点DataStore基于Kotlin协程和Flow实现,并且可以对SP数据进行迁移,旨在取代SP

DataStore提供了两种不同的实现:Preferences DataStoreProto DataStore,其中Preferences DataStore用于存储键值对Proto DataStore用于存储类型化对象DataStore更详细的介绍参见:Android Jetpack系列之DataStore

MMKV替代

MMKV 是基于 mmap 内存映射的 key-value 组件,底层序列化/反序列化使用 protobuf 实现,性能高,稳定性强。从 2015 年中至今在微信上使用,其性能和稳定性经过了时间的验证。近期也已移植到 Android / macOS / Win32 / POSIX 平台,一并开源。

注:mmap 内存映射,可以提供一段可供随时写入的内存块,App 只管往里面写数据,由操作系统负责将内存回写到文件,不必担心 crash 导致数据丢失。

MMKV地址:https://github.com/tencent/mmkv

apply()使用优化

主要是优化UI线程中执行QueuedWork.waitToFinish(),当队列执行poll()时,通过反射修改poll()的返回值,将其设为null,这样UI线程会继续往下执行而不会原地阻塞等待了。示例如下(注意8.0以上8.0以下处理不一样):

object SPHook {

    fun optimizeSpTask() {
        if (Build.VERSION.SDK_INT < 26) {
            reflectSPendingWorkFinishers()
        } else {
            reflectSFinishers()
        }
    }

    /**
     * 8.0以上 Reflect finishers
     *
     */
    private fun reflectSFinishers() {
        try {
            val clz = Class.forName("android.app.QueuedWork")
            val field = clz.getDeclaredField("sFinishers")
            field.isAccessible = true
            val queue = field.get(clz) as? LinkedList<Runnable>
            if (queue != null) {
                val linkedListProxy = LinkedListProxy(queue)
                field.set(queue, linkedListProxy)
                log("hook success")
            }
        } catch (ex: Exception) {
            log("hook error:${ex}")
        }
    }

    /**
     * 8.0以下 Reflect pending work finishers
     */
    private fun reflectSPendingWorkFinishers() {
        try {
            val clz = Class.forName("android.app.QueuedWork")
            val field = clz.getDeclaredField("sPendingWorkFinishers")
            field.isAccessible = true
            val queue = field.get(clz) as? ConcurrentLinkedQueue<Runnable>
            if (queue != null) {
                val proxy = ConcurrentLinkedQueueProxy(queue)
                field.set(queue, proxy)
                log("hook success")
            }
        } catch (ex: Exception) {
            log("hook error:${ex}")
        }
    }

    /**
     * 在8.0以上apply()中QueuedWork.addFinisher(awaitCommit), 需要代理的是LinkedList,如下:
     * # private static final LinkedList<Runnable> sFinishers = new LinkedList<>()
     */
    private class LinkedListProxy(private val sFinishers: LinkedList<Runnable>) :
        LinkedList<Runnable>() {

        override fun add(element: Runnable): Boolean {
            return sFinishers.add(element)
        }

        override fun remove(element: Runnable): Boolean {
            return sFinishers.remove(element)
        }

        override fun isEmpty(): Boolean = true

        /**
         * 代理的poll()方法,永远返回空,这样UI线程就可以避免被阻塞,继续执行了
         */
        override fun poll(): Runnable? {
            return null
        }
    }

    /**
     * 在8.0以下代理
     * // The set of Runnables that will finish or wait on any async activities started by the application.
     * private static final ConcurrentLinkedQueue<Runnable> sPendingWorkFinishers = new ConcurrentLinkedQueue<Runnable>();
     */

    private class ConcurrentLinkedQueueProxy(private val sPendingWorkFinishers: ConcurrentLinkedQueue<Runnable>) :
        ConcurrentLinkedQueue<Runnable>() {

        override fun add(element: Runnable?): Boolean {
            return sPendingWorkFinishers.add(element)
        }

        override fun remove(element: Runnable?): Boolean {
            return sPendingWorkFinishers.remove(element)
        }

        override fun isEmpty(): Boolean = true

        /**
         * 代理的poll()方法,永远返回空,这样UI线程就可以避免被阻塞,继续执行了
         */
        override fun poll(): Runnable? {
            return null
        }
    }
}
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转载自juejin.im/post/7110618131000721416