彻底理解android binder通信架构
16lz
2021-01-23
http://gityuan.com/2016/09/04/binder-start-service/
一. 引言
1.1 Binder架构的思考
Android内核是基于Linux系统, 而Linux现存多种进程间IPC方式:管道, 消息队列, 共享内存, 套接字, 信号量, 信号. 为什么Android非要用Binder来进行进程间通信呢. 从我个人的理解角度, 曾尝试着在知乎回答同样一个问题 为什么Android要采用Binder作为IPC机制？. 这是我第一次认认真真地在知乎上回答问题, 收到很多网友的点赞与回复, 让我很受鼓舞, 也决心分享更多优先地文章回报读者和粉丝, 为Android圈贡献自己的微薄之力. (当然,如果你愿意点击文章最后打赏支持我,我会更高兴.^_^)
在说到Binder架构之前, 先简单说说大家熟悉的TCP/IP的五层通信体系结构:
- 应用层: 直接为用户提供服务;
- 传输层: 传输的是报文(TCP数据)或者用户数据报(UDP数据)
- 网络层: 传输的是包(Packet), 例如路由器
- 数据链路层: 传输的是帧(Frame), 例如以太网交换机
- 物理层: 相邻节点间传输bit, 例如集线器,双绞线等
这是经典的五层TPC/IP协议体系, 这样分层设计的思想, 让每一个子问题都设计成一个独立的协议, 这协议的设计/分析/实现/测试都变得更加简单:
- 层与层具有独立性, 例如应用层可以使用传输层提供的功能而无需知晓其实现原理;
- 设计灵活, 层与层之间都定义好接口, 即便层内方法发生变化,只有接口不变, 对这个系统便毫无影响;
- 结构的解耦合, 让每一层可以用更适合的技术方案, 更合适的语言;
- 方便维护, 可分层调试和定位问题;
Binder架构也是采用分层架构设计, 每一层都有其不同的功能:
- Java应用层: 对于上层应用通过调用AMP.startService, 完全可以不用关心底层,经过层层调用,最终必然会调用到AMS.startService.
- Java IPC层: Binder通信是采用C/S架构, Android系统的基础架构便已设计好Binder在Java framework层的Binder客户类BinderProxy和服务类Binder;
- Native IPC层: 对于Native层,如果需要直接使用Binder(比如media相关), 则可以直接使用BpBinder和BBinder(当然这里还有JavaBBinder)即可, 对于上一层Java IPC的通信也是基于这个层面.
- Kernel物理层: 这里是Binder Driver, 前面3层都跑在用户空间,对于用户空间的内存资源是不共享的,每个Android的进程只能运行在自己进程所拥有的虚拟地址空间, 而内核空间却是可共享的. 真正通信的核心环节还是在Binder Driver.
1.2 分析起点
前面通过一个Binder系列-开篇来从源码讲解了Binder的各个层面, 但是Binder牵涉颇为广泛, 几乎是整个Android架构的顶梁柱, 虽说用了十几篇文章来阐述Binder的各个过程. 但依然还是没有将Binder IPC(进程间通信)的过程彻底说透.
Binder系统如此庞大, 那么这里需要寻求一个出发点来穿针引线, 一窥视Binder全貌. 那么本文将从全新的视角,以startService流程分析为例子来说说Binder所其作用. 首先在发起方进程调用AMP.startService，经过binder驱动，最终调用系统进程AMS.startService,如下图:
AMP和AMN都是实现了IActivityManager接口,AMS继承于AMN. 其中AMP作为Binder的客户端,运行在各个app所在进程, AMN(或AMS)运行在系统进程system_server.
1.3 Binder IPC原理
Binder通信采用C/S架构，从组件视角来说，包含Client、Server、ServiceManager以及binder驱动，其中ServiceManager用于管理系统中的各种服务。下面说说startService过程所涉及的Binder对象的架构图：
可以看出无论是注册服务和获取服务的过程都需要ServiceManager，需要注意的是此处的Service Manager是指Native层的ServiceManager（C++），并非指framework层的ServiceManager(Java)。ServiceManager是整个Binder通信机制的大管家，是Android进程间通信机制Binder的守护进程，Client端和Server端通信时都需要先获取Service Manager接口，才能开始通信服务, 当然查找到目标信息可以缓存起来则不需要每次都向ServiceManager请求。
图中Client/Server/ServiceManage之间的相互通信都是基于Binder机制。既然基于Binder机制通信，那么同样也是C/S架构，则图中的3大步骤都有相应的Client端与Server端。
- 注册服务：首先AMS注册到ServiceManager。该过程：AMS所在进程(system_server)是客户端，ServiceManager是服务端。
- 获取服务：Client进程使用AMS前，须先向ServiceManager中获取AMS的代理类AMP。该过程：AMP所在进程(app process)是客户端，ServiceManager是服务端。
- 使用服务： app进程根据得到的代理类AMP,便可以直接与AMS所在进程交互。该过程：AMP所在进程(app process)是客户端，AMS所在进程(system_server)是服务端。
图中的Client,Server,Service Manager之间交互都是虚线表示，是由于它们彼此之间不是直接交互的，而是都通过与Binder Driver进行交互的，从而实现IPC通信方式。其中Binder驱动位于内核空间，Client,Server,Service Manager位于用户空间。Binder驱动和Service Manager可以看做是Android平台的基础架构，而Client和Server是Android的应用层.
这3大过程每一次都是一个完整的Binder IPC过程, 接下来从源码角度, 仅介绍第3过程使用服务, 即展开AMP.startService是如何调用到AMS.startService的过程.
Tips: 如果你只想了解大致过程,并不打算细扣源码, 那么你可以略过通信过程源码分析, 仅看本文第一段落和最后段落也能对Binder所有理解.
二. 通信过程
2.1 AMP.startService
[-> ActivityManagerNative.java ::ActivityManagerProxy]
public ComponentName startService(IApplicationThread caller, Intent service, String resolvedType, String callingPackage, int userId) throws RemoteException { //获取或创建Parcel对象【见小节2.2】 Parcel data = Parcel.obtain(); Parcel reply = Parcel.obtain(); data.writeInterfaceToken(IActivityManager.descriptor); data.writeStrongBinder(caller != null ? caller.asBinder() : null); service.writeToParcel(data, 0); //写入Parcel数据 【见小节2.3】 data.writeString(resolvedType); data.writeString(callingPackage); data.writeInt(userId); //通过Binder传递数据【见小节2.5】 mRemote.transact(START_SERVICE_TRANSACTION, data, reply, 0); //读取应答消息的异常情况 reply.readException(); //根据reply数据来创建ComponentName对象 ComponentName res = ComponentName.readFromParcel(reply); //【见小节2.2.3】 data.recycle(); reply.recycle(); return res;}主要功能:
- 获取或创建两个Parcel对象,data用于发送数据，reply用于接收应答数据.
- 将startService相关数据都封装到Parcel对象data, 其中descriptor = “android.app.IActivityManager”;
- 通过Binder传递数据,并将应答消息写入reply;
- 读取reply应答消息的异常情况和组件对象;
2.2 Parcel.obtain
[-> Parcel.java]
public static Parcel obtain() { final Parcel[] pool = sOwnedPool; synchronized (pool) { Parcel p; //POOL_SIZE = 6 for (int i=0; iif (p != null) { pool[i] = null; return p; } } } //当缓存池没有现成的Parcel对象，则直接创建[见流程2.2.1] return new Parcel(0);} sOwnedPool是一个大小为6，存放着parcel对象的缓存池,这样设计的目标是用于节省每次都创建Parcel对象的开销。obtain()方法的作用：
- 先尝试从缓存池
sOwnedPool中查询是否存在缓存Parcel对象，当存在则直接返回该对象; - 如果没有可用的Parcel对象，则直接创建Parcel对象。
2.2.1 new Parcel
[-> Parcel.java]
private Parcel(long nativePtr) { //初始化本地指针 init(nativePtr);}private void init(long nativePtr) { if (nativePtr != 0) { mNativePtr = nativePtr; mOwnsNativeParcelObject = false; } else { // 首次创建,进入该分支[见流程2.2.2] mNativePtr = nativeCreate(); mOwnsNativeParcelObject = true; }}nativeCreate这是native方法,经过JNI进入native层, 调用android_os_Parcel_create()方法.
2.2.2 android_os_Parcel_create
[-> android_os_Parcel.cpp]
static jlong android_os_Parcel_create(JNIEnv* env, jclass clazz) { Parcel* parcel = new Parcel(); return reinterpret_cast(parcel);} 创建C++层的Parcel对象, 该对象指针强制转换为long型, 并保存到Java层的mNativePtr对象. 创建完Parcel对象利用Parcel对象写数据. 接下来以writeString为例.
2.2.3 Parcel.recycle
public final void recycle() { //释放native parcel对象 freeBuffer(); final Parcel[] pool; //根据情况来选择加入相应池 if (mOwnsNativeParcelObject) { pool = sOwnedPool; } else { mNativePtr = 0; pool = sHolderPool; } synchronized (pool) { for (int i=0; iif (pool[i] == null) { pool[i] = this; return; } } }} 将不再使用的Parcel对象放入缓存池，可回收重复利用，当缓存池已满则不再加入缓存池。这里有两个Parcel线程池,mOwnsNativeParcelObject变量来决定:
mOwnsNativeParcelObject=true, 即调用不带参数obtain()方法获取的对象, 回收时会放入sOwnedPool对象池;mOwnsNativeParcelObject=false, 即调用带nativePtr参数的obtain(long)方法获取的对象, 回收时会放入sHolderPool对象池;
2.3 writeString
[-> Parcel.java]
public final void writeString(String val) { //[见流程2.3.1] nativeWriteString(mNativePtr, val);}2.3.1 nativeWriteString
[-> android_os_Parcel.cpp]
static void android_os_Parcel_writeString(JNIEnv* env, jclass clazz, jlong nativePtr, jstring val) { Parcel* parcel = reinterpret_cast(nativePtr); if (parcel != NULL) { status_t err = NO_MEMORY; if (val) { const jchar* str = env->GetStringCritical(val, 0); if (str) { //[见流程2.3.2] err = parcel->writeString16( reinterpret_castchar16_t*>(str), env->GetStringLength(val)); env->ReleaseStringCritical(val, str); } } else { err = parcel->writeString16(NULL, 0); } if (err != NO_ERROR) { signalExceptionForError(env, clazz, err); } }} 2.3.2 writeString16
[-> Parcel.cpp]
status_t Parcel::writeString16(const char16_t* str, size_t len){ if (str == NULL) return writeInt32(-1); status_t err = writeInt32(len); if (err == NO_ERROR) { len *= sizeof(char16_t); uint8_t* data = (uint8_t*)writeInplace(len+sizeof(char16_t)); if (data) { //数据拷贝到data所指向的位置 memcpy(data, str, len); *reinterpret_cast<char16_t*>(data+len) = 0; return NO_ERROR; } err = mError; } return err;}Tips: 除了writeString(),在Parcel.java中大量的native方法, 都是调用android_os_Parcel.cpp相对应的方法, 该方法再调用Parcel.cpp中对应的方法.
调用流程: Parcel.java –> android_os_Parcel.cpp –> Parcel.cpp.
/frameworks/base/core/java/android/os/Parcel.java/frameworks/base/core/jni/android_os_Parcel.cpp/frameworks/native/libs/binder/Parcel.cpp简单说,就是
2.4 mRemote究竟为何物
mRemote的出生,要出先说说ActivityManagerProxy对象(简称AMP)创建说起, AMP是通过ActivityManagerNative.getDefault()来获取的.
2.4.1 AMN.getDefault
[-> ActivityManagerNative.java]
static public IActivityManager getDefault() { // [见流程2.4.2] return gDefault.get();}gDefault的数据类型为Singleton, 这是一个单例模式, 接下来看看Singleto.get()的过程
2.4.2 gDefault.get
public abstract class Singleton<IActivityManager> { public final IActivityManager get() { synchronized (this) { if (mInstance == null) { //首次调用create()来获取AMP对象[见流程2.4.3] mInstance = create(); } return mInstance; } }}首次调用时需要创建,创建完之后保持到mInstance对象,之后可直接使用.
2.4.3 gDefault.create
private static final Singleton gDefault = new Singleton() { protected IActivityManager create() { //获取名为"activity"的服务 IBinder b = ServiceManager.getService("activity"); //创建AMP对象[见流程2.4.4] IActivityManager am = asInterface(b); return am; }}; 文章Binder系列7—framework层分析，可知ServiceManager.getService(“activity”)返回的是指向目标服务AMS的代理对象BinderProxy对象，由该代理对象可以找到目标服务AMS所在进程
2.4.4 AMN.asInterface
[-> ActivityManagerNative.java]
public abstract class ActivityManagerNative extends Binder implements IActivityManager { static public IActivityManager asInterface(IBinder obj) { if (obj == null) { return null; } //此处obj = BinderProxy, descriptor = "android.app.IActivityManager"; [见流程2.4.5] IActivityManager in = (IActivityManager)obj.queryLocalInterface(descriptor); if (in != null) { //此处为null return in; } //[见流程2.4.6] return new ActivityManagerProxy(obj); } ...}此时obj为BinderProxy对象, 记录着远程进程system_server中AMS服务的binder线程的handle.
2.4.5 queryLocalInterface
[Binder.java]
public class Binder implements IBinder { //对于Binder对象的调用,则返回值不为空 public IInterface queryLocalInterface(String descriptor) { //mDescriptor的初始化在attachInterface()过程中赋值 if (mDescriptor.equals(descriptor)) { return mOwner; } return null; }}//由上一小节[2.4.4]调用的流程便是此处,返回Nullfinal class BinderProxy implements IBinder { //BinderProxy对象的调用, 则返回值为空 public IInterface queryLocalInterface(String descriptor) { return null; }}对于Binder IPC的过程中, 同一个进程的调用则会是asInterface()方法返回的便是本地的Binder对象;对于不同进程的调用则会是远程代理对象BinderProxy.
2.4.6 创建AMP
[-> ActivityManagerNative.java :: AMP]
class ActivityManagerProxy implements IActivityManager { public ActivityManagerProxy(IBinder remote) { mRemote = remote; }}可知mRemote便是指向AMS服务的BinderProxy对象。
2.5 mRemote.transact
[-> Binder.java ::BinderProxy]
final class BinderProxy implements IBinder { public boolean transact(int code, Parcel data, Parcel reply, int flags) throws RemoteException { //用于检测Parcel大小是否大于800k Binder.checkParcel(this, code, data, "Unreasonably large binder buffer"); //【见2.6】 return transactNative(code, data, reply, flags); }}mRemote.transact()方法中的code=START_SERVICE_TRANSACTION, data保存了descriptor，caller, intent, resolvedType, callingPackage, userId这6项信息。
transactNative是native方法，经过jni调用android_os_BinderProxy_transact方法。
2.6 android_os_BinderProxy_transact
[-> android_util_Binder.cpp]
static jboolean android_os_BinderProxy_transact(JNIEnv* env, jobject obj, jint code, jobject dataObj, jobject replyObj, jint flags){ ... //将java Parcel转为c++ Parcel Parcel* data = parcelForJavaObject(env, dataObj); Parcel* reply = parcelForJavaObject(env, replyObj); //gBinderProxyOffsets.mObject中保存的是new BpBinder(handle)对象 IBinder* target = (IBinder*) env->GetLongField(obj, gBinderProxyOffsets.mObject); ... //此处便是BpBinder::transact()【见小节2.7】 status_t err = target->transact(code, *data, reply, flags); ... //最后根据transact执行具体情况，抛出相应的Exception signalExceptionForError(env, obj, err, true , data->dataSize()); return JNI_FALSE;}gBinderProxyOffsets.mObject中保存的是BpBinder对象, 这是开机时Zygote调用AndroidRuntime::startReg方法来完成jni方法的注册.
其中register_android_os_Binder()过程就有一个初始并注册BinderProxy的操作,完成gBinderProxyOffsets的赋值过程. 接下来就进入该方法.
2.7 BpBinder.transact
[-> BpBinder.cpp]
status_t BpBinder::transact( uint32_t code, const Parcel& data, Parcel* reply, uint32_t flags){ if (mAlive) { // 【见小节2.8】 status_t status = IPCThreadState::self()->transact( mHandle, code, data, reply, flags); if (status == DEAD_OBJECT) mAlive = 0; return status; } return DEAD_OBJECT;}IPCThreadState::self()采用单例模式，保证每个线程只有一个实例对象。
2.8 IPC.transact
[-> IPCThreadState.cpp]
status_t IPCThreadState::transact(int32_t handle, uint32_t code, const Parcel& data, Parcel* reply, uint32_t flags){ status_t err = data.errorCheck(); //数据错误检查 flags |= TF_ACCEPT_FDS; .... if (err == NO_ERROR) { // 传输数据 【见小节2.9】 err = writeTransactionData(BC_TRANSACTION, flags, handle, code, data, NULL); } if (err != NO_ERROR) { if (reply) reply->setError(err); return (mLastError = err); } // 默认情况下,都是采用非oneway的方式, 也就是需要等待服务端的返回结果 if ((flags & TF_ONE_WAY) == 0) { if (reply) { //reply对象不为空 【见小节2.10】 err = waitForResponse(reply); }else { Parcel fakeReply; err = waitForResponse(&fakeReply); } } else { err = waitForResponse(NULL, NULL); } return err;}transact主要过程:
- 先执行writeTransactionData()已向Parcel数据类型的
mOut写入数据，此时mIn还没有数据； - 然后执行waitForResponse()方法，循环执行，直到收到应答消息. 调用talkWithDriver()跟驱动交互，收到应答消息，便会写入
mIn, 则根据收到的不同响应吗，执行相应的操作。
此处调用waitForResponse根据是否有设置TF_ONE_WAY的标记:
- 当已设置oneway时, 则调用waitForResponse(NULL, NULL);
- 当未设置oneway时, 则调用waitForResponse(reply) 或 waitForResponse(&fakeReply)
2.9 IPC.writeTransactionData
[-> IPCThreadState.cpp]
status_t IPCThreadState::writeTransactionData(int32_t cmd, uint32_t binderFlags, int32_t handle, uint32_t code, const Parcel& data, status_t* statusBuffer){ binder_transaction_data tr; tr.target.ptr = 0; tr.target.handle = handle; // handle指向AMS tr.code = code; // START_SERVICE_TRANSACTION tr.flags = binderFlags; // 0 tr.cookie = 0; tr.sender_pid = 0; tr.sender_euid = 0; const status_t err = data.errorCheck(); if (err == NO_ERROR) { // data为startService相关信息 tr.data_size = data.ipcDataSize(); // mDataSize tr.data.ptr.buffer = data.ipcData(); // mData指针 tr.offsets_size = data.ipcObjectsCount()*sizeof(binder_size_t); //mObjectsSize tr.data.ptr.offsets = data.ipcObjects(); //mObjects指针 } ... mOut.writeInt32(cmd); //cmd = BC_TRANSACTION mOut.write(&tr, sizeof(tr)); //写入binder_transaction_data数据 return NO_ERROR;}将数据写入mOut
2.10 IPC.waitForResponse
status_t IPCThreadState::waitForResponse(Parcel *reply, status_t *acquireResult){ int32_t cmd; int32_t err; while (1) { if ((err=talkWithDriver()) < NO_ERROR) break; // 【见小节2.11】 err = mIn.errorCheck(); if (err < NO_ERROR) break; //当存在error则退出循环 //每当跟Driver交互一次，若mIn收到数据则往下执行一次BR命令 if (mIn.dataAvail() == 0) continue; cmd = mIn.readInt32(); switch (cmd) { case BR_TRANSACTION_COMPLETE: //只有当不需要reply, 也就是oneway时 才会跳出循环,否则还需要等待. if (!reply && !acquireResult) goto finish; break; case BR_DEAD_REPLY: err = DEAD_OBJECT; goto finish; case BR_FAILED_REPLY: err = FAILED_TRANSACTION; goto finish; case BR_REPLY: ... goto finish; default: err = executeCommand(cmd); //【见小节2.12】 if (err != NO_ERROR) goto finish; break; } }finish: if (err != NO_ERROR) { if (reply) reply->setError(err); //将发送的错误代码返回给最初的调用者 } return err;}在这个过程中, 收到以下任一BR_命令，处理后便会退出waitForResponse()的状态:
- BR_TRANSACTION_COMPLETE: binder驱动收到BC_TRANSACTION事件后的应答消息; 对于oneway transaction,当收到该消息,则完成了本次Binder通信;
- BR_DEAD_REPLY: 回复失败，往往是线程或节点为空. 则结束本次通信Binder;
- BR_FAILED_REPLY:回复失败，往往是transaction出错导致. 则结束本次通信Binder;
- BR_REPLY: Binder驱动向Client端发送回应消息; 对于非oneway transaction时,当收到该消息,则完整地完成本次Binder通信;
除了以上命令，其他命令的处理流程【见小节2.12】
2.11 IPC.talkWithDriver
//mOut有数据，mIn还没有数据。doReceive默认值为truestatus_t IPCThreadState::talkWithDriver(bool doReceive){ binder_write_read bwr; const bool needRead = mIn.dataPosition() >= mIn.dataSize(); const size_t outAvail = (!doReceive || needRead) ? mOut.dataSize() : 0; bwr.write_size = outAvail; bwr.write_buffer = (uintptr_t)mOut.data(); if (doReceive && needRead) { //接收数据缓冲区信息的填充。当收到驱动的数据，则写入mIn bwr.read_size = mIn.dataCapacity(); bwr.read_buffer = (uintptr_t)mIn.data(); } else { bwr.read_size = 0; bwr.read_buffer = 0; } // 当同时没有输入和输出数据则直接返回 if ((bwr.write_size == 0) && (bwr.read_size == 0)) return NO_ERROR; bwr.write_consumed = 0; bwr.read_consumed = 0; status_t err; do { //ioctl执行binder读写操作，经过syscall，进入Binder驱动。调用Binder_ioctl【小节3.1】 if (ioctl(mProcess->mDriverFD, BINDER_WRITE_READ, &bwr) >= 0) err = NO_ERROR; else err = -errno; ... } while (err == -EINTR); if (err >= NO_ERROR) { if (bwr.write_consumed > 0) { if (bwr.write_consumed < mOut.dataSize()) mOut.remove(0, bwr.write_consumed); else mOut.setDataSize(0); } if (bwr.read_consumed > 0) { mIn.setDataSize(bwr.read_consumed); mIn.setDataPosition(0); } return NO_ERROR; } return err;}binder_write_read结构体用来与Binder设备交换数据的结构, 通过ioctl与mDriverFD通信，是真正与Binder驱动进行数据读写交互的过程。
2.12 IPC.executeCommand
status_t IPCThreadState::executeCommand(int32_t cmd){ BBinder* obj; RefBase::weakref_type* refs; status_t result = NO_ERROR; switch ((uint32_t)cmd) { case BR_ERROR: ... case BR_OK: ... case BR_ACQUIRE: ... case BR_RELEASE: ... case BR_INCREFS: ... case BR_TRANSACTION: ... //Binder驱动向Server端发送消息 case BR_DEAD_BINDER: ... case BR_CLEAR_DEATH_NOTIFICATION_DONE: ... case BR_NOOP: ... case BR_SPAWN_LOOPER: ... //创建新binder线程 default: ... }}再回到【小节2.11】，可知ioctl()方法经过syscall最终调用到Binder_ioctl()方法.
三、Binder driver
3.1 binder_ioctl
[-> Binder.c]
由【小节2.11】传递过出来的参数 cmd=BINDER_WRITE_READ
static long binder_ioctl(struct file *filp, unsigned int cmd, unsigned long arg){ int ret; struct binder_proc *proc = filp->private_data; struct binder_thread *thread; //当binder_stop_on_user_error>=2时，则该线程加入等待队列并进入休眠状态. 该值默认为0 ret = wait_event_interruptible(binder_user_error_wait, binder_stop_on_user_error < 2); ... binder_lock(__func__); //查找或创建binder_thread结构体 thread = binder_get_thread(proc); ... switch (cmd) { case BINDER_WRITE_READ: //【见小节3.2】 ret = binder_ioctl_write_read(filp, cmd, arg, thread); break; ... } ret = 0;err: if (thread) thread->looper &= ~BINDER_LOOPER_STATE_NEED_RETURN; binder_unlock(__func__); wait_event_interruptible(binder_user_error_wait, binder_stop_on_user_error < 2); return ret;}首先,根据传递过来的文件句柄指针获取相应的binder_proc结构体, 再从中查找binder_thread,如果当前线程已经加入到proc的线程队列则直接返回， 如果不存在则创建binder_thread，并将当前线程添加到当前的proc.
- 当返回值为-ENOMEM，则意味着内存不足，往往会出现创建binder_thread对象失败;
- 当返回值为-EINVAL，则意味着CMD命令参数无效；
3.2 binder_ioctl_write_read
static int binder_ioctl_write_read(struct file *filp, unsigned int cmd, unsigned long arg, struct binder_thread *thread){ int ret = 0; struct binder_proc *proc = filp->private_data; unsigned int size = _IOC_SIZE(cmd); void __user *ubuf = (void __user *)arg; struct binder_write_read bwr; if (size != sizeof(struct binder_write_read)) { ret = -EINVAL; goto out; } //将用户空间bwr结构体拷贝到内核空间 if (copy_from_user(&bwr, ubuf, sizeof(bwr))) { ret = -EFAULT; goto out; } if (bwr.write_size > 0) { //将数据放入目标进程【见小节3.3】 ret = binder_thread_write(proc, thread, bwr.write_buffer, bwr.write_size, &bwr.write_consumed); //当执行失败，则直接将内核bwr结构体写回用户空间，并跳出该方法 if (ret < 0) { bwr.read_consumed = 0; if (copy_to_user_preempt_disabled(ubuf, &bwr, sizeof(bwr))) ret = -EFAULT; goto out; } } if (bwr.read_size > 0) { //读取自己队列的数据 【见小节3.5】 ret = binder_thread_read(proc, thread, bwr.read_buffer, bwr.read_size, &bwr.read_consumed, filp->f_flags & O_NONBLOCK); //当进程的todo队列有数据,则唤醒在该队列等待的进程 if (!list_empty(&proc->todo)) wake_up_interruptible(&proc->wait); //当执行失败，则直接将内核bwr结构体写回用户空间，并跳出该方法 if (ret < 0) { if (copy_to_user_preempt_disabled(ubuf, &bwr, sizeof(bwr))) ret = -EFAULT; goto out; } } if (copy_to_user(ubuf, &bwr, sizeof(bwr))) { ret = -EFAULT; goto out; }out: return ret;} 此时arg是一个binder_write_read结构体，mOut数据保存在write_buffer，所以write_size>0，但此时read_size=0。首先,将用户空间bwr结构体拷贝到内核空间,然后执行binder_thread_write()操作.
3.3 binder_thread_write
static int binder_thread_write(struct binder_proc *proc, struct binder_thread *thread, binder_uintptr_t binder_buffer, size_t size, binder_size_t *consumed){ uint32_t cmd; void __user *buffer = (void __user *)(uintptr_t)binder_buffer; void __user *ptr = buffer + *consumed; void __user *end = buffer + size; while (ptr < end && thread->return_error == BR_OK) { //拷贝用户空间的cmd命令，此时为BC_TRANSACTION if (get_user(cmd, (uint32_t __user *)ptr)) -EFAULT; ptr += sizeof(uint32_t); switch (cmd) { case BC_TRANSACTION: case BC_REPLY: { struct binder_transaction_data tr; //拷贝用户空间的binder_transaction_data if (copy_from_user(&tr, ptr, sizeof(tr))) return -EFAULT; ptr += sizeof(tr); // 见小节3.4】 binder_transaction(proc, thread, &tr, cmd == BC_REPLY); break; } ... } *consumed = ptr - buffer; } return 0;}不断从binder_buffer所指向的地址获取cmd, 当只有BC_TRANSACTION或者BC_REPLY时, 则调用binder_transaction()来处理事务.
3.4 binder_transaction
发送的是BC_TRANSACTION时，此时reply=0。
static void binder_transaction(struct binder_proc *proc, struct binder_thread *thread, struct binder_transaction_data *tr, int reply){ struct binder_transaction *t; struct binder_work *tcomplete; binder_size_t *offp, *off_end; binder_size_t off_min; struct binder_proc *target_proc; struct binder_thread *target_thread = NULL; struct binder_node *target_node = NULL; struct list_head *target_list; wait_queue_head_t *target_wait; struct binder_transaction *in_reply_to = NULL; if (reply) { ... }else { if (tr->target.handle) { struct binder_ref *ref; // 由handle 找到相应 binder_ref, 由binder_ref 找到相应 binder_node ref = binder_get_ref(proc, tr->target.handle); target_node = ref->node; } else { target_node = binder_context_mgr_node; } // 由binder_node 找到相应 binder_proc target_proc = target_node->proc; } if (target_thread) { e->to_thread = target_thread->pid; target_list = &target_thread->todo; target_wait = &target_thread->wait; } else { //首次执行target_thread为空 target_list = &target_proc->todo; target_wait = &target_proc->wait; } t = kzalloc(sizeof(*t), GFP_KERNEL); tcomplete = kzalloc(sizeof(*tcomplete), GFP_KERNEL); //非oneway的通信方式，把当前thread保存到transaction的from字段 if (!reply && !(tr->flags & TF_ONE_WAY)) t->from = thread; else t->from = NULL; t->sender_euid = task_euid(proc->tsk); t->to_proc = target_proc; //此次通信目标进程为system_server t->to_thread = target_thread; t->code = tr->code; //此次通信code = START_SERVICE_TRANSACTION t->flags = tr->flags; // 此次通信flags = 0 t->priority = task_nice(current); //从目标进程target_proc中分配内存空间【3.4.1】 t->buffer = binder_alloc_buf(target_proc, tr->data_size, tr->offsets_size, !reply && (t->flags & TF_ONE_WAY)); t->buffer->allow_user_free = 0; t->buffer->transaction = t; t->buffer->target_node = target_node; if (target_node) binder_inc_node(target_node, 1, 0, NULL); //引用计数加1 //binder对象的偏移量 offp = (binder_size_t *)(t->buffer->data + ALIGN(tr->data_size, sizeof(void *))); //分别拷贝用户空间的binder_transaction_data中ptr.buffer和ptr.offsets到目标进程的binder_buffer copy_from_user(t->buffer->data, (const void __user *)(uintptr_t)tr->data.ptr.buffer, tr->data_size); copy_from_user(offp, (const void __user *)(uintptr_t)tr->data.ptr.offsets, tr->offsets_size); off_end = (void *)offp + tr->offsets_size; for (; offp < off_end; offp++) { struct flat_binder_object *fp; fp = (struct flat_binder_object *)(t->buffer->data + *offp); off_min = *offp + sizeof(struct flat_binder_object); switch (fp->type) { ... case BINDER_TYPE_HANDLE: case BINDER_TYPE_WEAK_HANDLE: { //处理引用计数情况 struct binder_ref *ref = binder_get_ref(proc, fp->handle); if (ref->node->proc == target_proc) { if (fp->type == BINDER_TYPE_HANDLE) fp->type = BINDER_TYPE_BINDER; else fp->type = BINDER_TYPE_WEAK_BINDER; fp->binder = ref->node->ptr; fp->cookie = ref->node->cookie; binder_inc_node(ref->node, fp->type == BINDER_TYPE_BINDER, 0, NULL); } else { struct binder_ref *new_ref; new_ref = binder_get_ref_for_node(target_proc, ref->node); fp->handle = new_ref->desc; binder_inc_ref(new_ref, fp->type == BINDER_TYPE_HANDLE, NULL); } } break; ... default: return_error = BR_FAILED_REPLY; goto err_bad_object_type; } } if (reply) { //BC_REPLY的过程 binder_pop_transaction(target_thread, in_reply_to); } else if (!(t->flags & TF_ONE_WAY)) { //BC_TRANSACTION 且 非oneway,则设置事务栈信息 t->need_reply = 1; t->from_parent = thread->transaction_stack; thread->transaction_stack = t; } else { //BC_TRANSACTION 且 oneway,则加入异步todo队列 if (target_node->has_async_transaction) { target_list = &target_node->async_todo; target_wait = NULL; } else target_node->has_async_transaction = 1; } //将BINDER_WORK_TRANSACTION添加到目标队列,即target_proc->todo t->work.type = BINDER_WORK_TRANSACTION; list_add_tail(&t->work.entry, target_list); //将BINDER_WORK_TRANSACTION_COMPLETE添加到当前线程队列，即thread->todo tcomplete->type = BINDER_WORK_TRANSACTION_COMPLETE; list_add_tail(&tcomplete->entry, &thread->todo); //唤醒等待队列，本次通信的目标队列为target_proc->wait if (target_wait) wake_up_interruptible(target_wait); return;}主要功能:
- 查询目标进程的过程： handle -> binder_ref -> binder_node -> binder_proc
- 将
BINDER_WORK_TRANSACTION添加到目标队列target_list:- call事务， 则目标队列target_list=
target_proc->todo; - reply事务，则目标队列target_list=
target_thread->todo; - async事务，则目标队列target_list=
target_node->async_todo.
- call事务， 则目标队列target_list=
- 数据拷贝
- 将用户空间binder_transaction_data中ptr.buffer和ptr.offsets拷贝到目标进程的binder_buffer->data；
- 这就是只拷贝一次的真理所在；
- 设置事务栈信息
- BC_TRANSACTION且非oneway, 则将当前事务添加到thread->transaction_stack；
- 事务分发过程：
- 将
BINDER_WORK_TRANSACTION添加到目标队列(此时为target_proc->todo队列); - 将
BINDER_WORK_TRANSACTION_COMPLETE添加到当前线程thread->todo队列;
- 将
- 唤醒目标进程target_proc开始执行事务。
该方法中proc/thread是指当前发起方的进程信息，而binder_proc是指目标接收端进程。 此时当前线程thread的todo队列已经有事务, 接下来便会进入binder_thread_read来处理相关的事务.
3.4.1 binder_alloc_buf
static struct binder_buffer *binder_alloc_buf(struct binder_proc *proc, size_t data_size, size_t offsets_size, int is_async){ struct rb_node *n = proc->free_buffers.rb_node; struct binder_buffer *buffer; size_t buffer_size; struct rb_node *best_fit = NULL; void *has_page_addr; void *end_page_addr; size_t size; .. size = ALIGN(data_size, sizeof(void *)) + ALIGN(offsets_size, sizeof(void *)); if (is_async && proc->free_async_space < size + sizeof(struct binder_buffer)) { return NULL; // 剩余可用的异步空间，小于所需的大小 } while (n) { //从binder_buffer的红黑树中查找大小相等的buffer块 buffer = rb_entry(n, struct binder_buffer, rb_node); buffer_size = binder_buffer_size(proc, buffer); if (size < buffer_size) { best_fit = n; n = n->rb_left; } else if (size > buffer_size) n = n->rb_right; else { best_fit = n; break; } } ... if (n == NULL) { buffer = rb_entry(best_fit, struct binder_buffer, rb_node); buffer_size = binder_buffer_size(proc, buffer); } has_page_addr =(void *)(((uintptr_t)buffer->data + buffer_size) & PAGE_MASK); if (n == NULL) { if (size + sizeof(struct binder_buffer) + 4 >= buffer_size) buffer_size = size; else buffer_size = size + sizeof(struct binder_buffer); } //末端地址 end_page_addr = (void *)PAGE_ALIGN((uintptr_t)buffer->data + buffer_size); ... //分配物理页 if (binder_update_page_range(proc, 1, (void *)PAGE_ALIGN((uintptr_t)buffer->data), end_page_addr, NULL)) return NULL; rb_erase(best_fit, &proc->free_buffers); buffer->free = 0; binder_insert_allocated_buffer(proc, buffer); if (buffer_size != size) { struct binder_buffer *new_buffer = (void *)buffer->data + size; list_add(&new_buffer->entry, &buffer->entry); new_buffer->free = 1; binder_insert_free_buffer(proc, new_buffer); } buffer->data_size = data_size; buffer->offsets_size = offsets_size; buffer->async_transaction = is_async; if (is_async) { //调整异步可用内存空间大小 proc->free_async_space -= size + sizeof(struct binder_buffer); } return buffer;}3.5 binder_thread_read
binder_thread_read（）{ //当已使用字节数为0时，将BR_NOOP响应码放入指针ptr if (*consumed == 0) { if (put_user(BR_NOOP, (uint32_t __user *)ptr)) return -EFAULT; ptr += sizeof(uint32_t); }retry: //binder_transaction()已设置transaction_stack不为空，则wait_for_proc_work为false. wait_for_proc_work = thread->transaction_stack == NULL && list_empty(&thread->todo); thread->looper |= BINDER_LOOPER_STATE_WAITING; if (wait_for_proc_work) proc->ready_threads++; //进程中空闲binder线程加1 //只有当前线程todo队列为空，并且transaction_stack也为空，才会开始处于当前进程的事务 if (wait_for_proc_work) { if (non_block) { ... } else //当进程todo队列没有数据,则进入休眠等待状态 ret = wait_event_freezable_exclusive(proc->wait, binder_has_proc_work(proc, thread)); } else { if (non_block) { ... } else //当线程todo队列有数据则执行往下执行；当线程todo队列没有数据，则进入休眠等待状态 ret = wait_event_freezable(thread->wait, binder_has_thread_work(thread)); } if (wait_for_proc_work) proc->ready_threads--; //退出等待状态, 则进程中空闲binder线程减1 thread->looper &= ~BINDER_LOOPER_STATE_WAITING; ... while (1) { uint32_t cmd; struct binder_transaction_data tr; struct binder_work *w; struct binder_transaction *t = NULL; //先从线程todo队列获取事务数据 if (!list_empty(&thread->todo)) { w = list_first_entry(&thread->todo, struct binder_work, entry); // 线程todo队列没有数据, 则从进程todo对获取事务数据 } else if (!list_empty(&proc->todo) && wait_for_proc_work) { w = list_first_entry(&proc->todo, struct binder_work, entry); } else { //没有数据,则返回retry if (ptr - buffer == 4 && !(thread->looper & BINDER_LOOPER_STATE_NEED_RETURN)) goto retry; break; } switch (w->type) { case BINDER_WORK_TRANSACTION: //获取transaction数据 t = container_of(w, struct binder_transaction, work); break; case BINDER_WORK_TRANSACTION_COMPLETE: cmd = BR_TRANSACTION_COMPLETE; //将BR_TRANSACTION_COMPLETE写入*ptr，并跳出循环。 put_user(cmd, (uint32_t __user *)ptr)； list_del(&w->entry); kfree(w); break; case BINDER_WORK_NODE: ... break; case BINDER_WORK_DEAD_BINDER: case BINDER_WORK_DEAD_BINDER_AND_CLEAR: case BINDER_WORK_CLEAR_DEATH_NOTIFICATION: ... break; } //只有BINDER_WORK_TRANSACTION命令才能继续往下执行 if (!t) continue; if (t->buffer->target_node) { //获取目标node struct binder_node *target_node = t->buffer->target_node; tr.target.ptr = target_node->ptr; tr.cookie = target_node->cookie; t->saved_priority = task_nice(current); ... cmd = BR_TRANSACTION; //设置命令为BR_TRANSACTION } else { tr.target.ptr = NULL; tr.cookie = NULL; cmd = BR_REPLY; //设置命令为BR_REPLY } tr.code = t->code; tr.flags = t->flags; tr.sender_euid = t->sender_euid; if (t->from) { struct task_struct *sender = t->from->proc->tsk; //当非oneway的情况下,将调用者进程的pid保存到sender_pid tr.sender_pid = task_tgid_nr_ns(sender, current->nsproxy->pid_ns); } else { //当oneway的的情况下,则该值为0 tr.sender_pid = 0; } tr.data_size = t->buffer->data_size; tr.offsets_size = t->buffer->offsets_size; tr.data.ptr.buffer = (void *)t->buffer->data + proc->user_buffer_offset; tr.data.ptr.offsets = tr.data.ptr.buffer + ALIGN(t->buffer->data_size, sizeof(void *)); //将cmd和数据写回用户空间 if (put_user(cmd, (uint32_t __user *)ptr)) return -EFAULT; ptr += sizeof(uint32_t); if (copy_to_user(ptr, &tr, sizeof(tr))) return -EFAULT; ptr += sizeof(tr); list_del(&t->work.entry); t->buffer->allow_user_free = 1; if (cmd == BR_TRANSACTION && !(t->flags & TF_ONE_WAY)) { t->to_parent = thread->transaction_stack; t->to_thread = thread; thread->transaction_stack = t; } else { t->buffer->transaction = NULL; kfree(t); //通信完成,则运行释放 } break; }done: *consumed = ptr - buffer; //当满足请求线程加已准备线程数等于0，已启动线程数小于最大线程数(15)， //且looper状态为已注册或已进入时创建新的线程。 if (proc->requested_threads + proc->ready_threads == 0 && proc->requested_threads_started < proc->max_threads && (thread->looper & (BINDER_LOOPER_STATE_REGISTERED | BINDER_LOOPER_STATE_ENTERED))) { proc->requested_threads++; // 生成BR_SPAWN_LOOPER命令，用于创建新的线程 put_user(BR_SPAWN_LOOPER, (uint32_t __user *)buffer)； } return 0;}该方法功能说明:
此处wait_for_proc_work是指当前线程todo队列为空，并且transaction_stack也为空,该值为true.
- 当wait_for_proc_work = false, 则进入线程的等待队列thread->wait, 直到thread->todo队列有事务才往下执行;
- 获取并处理thread->todo队列中的事务;将相应的cmd和数据写回用户空间.
- 当wait_for_proc_work = true, 则进入线程的等待队列proc->wait, 直到proc->todo队列有事务才往下执行;
- 获取并处理proc->todo队列中的事务;将相应的cmd和数据写回用户空间.
到这里,可能有人好奇,对于[小节3.4]介绍了target_list有3种, 这里只会处理前2种:thread->todo, proc->todo.那么对于 target_node->async_todo的处理过程时间呢? [见小节5.4]
3.6 下一步何去何从
- 执行完binder_thread_write方法后, 通过binder_transaction()首先写入
BINDER_WORK_TRANSACTION_COMPLETE写入当前线程. - 这时bwr.read_size > 0, 回到binder_ioctl_write_read方法, 便开始执行binder_thread_read();
- 在binder_thread_read()方法, 将获取cmd=BR_TRANSACTION_COMPLETE, 再将cmd和数据写回用户空间;
- 一次Binder_ioctl完成,接着回调用户空间方法talkWithDriver(),刚才的数据以写入mIn.
- 这时mIn有可读数据, 回到【小节2.10】IPC.waitForResponse()方法,完成BR_TRANSACTION_COMPLETE过程. 如果本次transaction采用非oneway方式, 这次Binder通信便完成, 否则还是要等待Binder服务端的返回。
对于startService过程, 采用的便是非oneway方式,那么发起者进程还会继续停留在waitForResponse()方法,继续talkWithDriver()，然后休眠在binder_thread_read()的wait_event_freezable()过程，等待当前线程的todo队列有数据的到来，即等待收到BR_REPLY消息.
由于在前面binder_transaction()除了向自己所在线程写入了BINDER_WORK_TRANSACTION_COMPLETE, 还向目标进程(此处为system_server)写入了BINDER_WORK_TRANSACTION命令，那么接下里介绍system_server进程的工作。
四. 回到用户空间
system_server的binder线程是如何运转的，那么就需要从Binder线程的创建开始说起， Binder线程的创建有两种方式：
- ProcessState::self()->startThreadPool();
- IPCThreadState::self()->joinThreadPool();
从文章addService 小节4.1，可知，调用链如下： startThreadPool()过程会创建新Binder线程，再经过层层调用也会进入joinThreadPool()方法。 system_server的binder线程从IPC.joinThreadPool –> IPC.getAndExecuteCommand() -> IPC.talkWithDriver() ,但talkWithDriver收到事务之后, 便进入IPC.executeCommand()方法。
接下来从joinThreadPool说起：
4.1 IPC.joinThreadPool
void IPCThreadState::joinThreadPool(bool isMain){ mOut.writeInt32(isMain ? BC_ENTER_LOOPER : BC_REGISTER_LOOPER); set_sched_policy(mMyThreadId, SP_FOREGROUND); status_t result; do { processPendingDerefs(); //处理对象引用 result = getAndExecuteCommand();//获取并执行命令【见小节4.2】 if (result < NO_ERROR && result != TIMED_OUT && result != -ECONNREFUSED && result != -EBADF) { ALOGE("getAndExecuteCommand(fd=%d) returned unexpected error %d, aborting", mProcess->mDriverFD, result); abort(); } //对于binder非主线程不再使用，则退出 if(result == TIMED_OUT && !isMain) { break; } } while (result != -ECONNREFUSED && result != -EBADF); mOut.writeInt32(BC_EXIT_LOOPER); talkWithDriver(false);}4.2 IPC.getAndExecuteCommand
status_t IPCThreadState::getAndExecuteCommand(){ status_t result; int32_t cmd; result = talkWithDriver(); //该Binder Driver进行交互 if (result >= NO_ERROR) { size_t IN = mIn.dataAvail(); if (IN < sizeof(int32_t)) return result; cmd = mIn.readInt32(); //读取命令 pthread_mutex_lock(&mProcess->mThreadCountLock); mProcess->mExecutingThreadsCount++; pthread_mutex_unlock(&mProcess->mThreadCountLock); result = executeCommand(cmd); //【见小节4.3】 pthread_mutex_lock(&mProcess->mThreadCountLock); mProcess->mExecutingThreadsCount--; pthread_cond_broadcast(&mProcess->mThreadCountDecrement); pthread_mutex_unlock(&mProcess->mThreadCountLock); set_sched_policy(mMyThreadId, SP_FOREGROUND); } return result;}此时system_server的binder线程空闲便是停留在binder_thread_read()方法来处理进程/线程新的事务。 由【小节3.4】可知收到的是BINDER_WORK_TRANSACTION命令, 再经过inder_thread_read()后生成命令cmd=BR_TRANSACTION.再将cmd和数据写回用户空间。
4.3 IPC.executeCommand
status_t IPCThreadState::executeCommand(int32_t cmd){ BBinder* obj; RefBase::weakref_type* refs; status_t result = NO_ERROR; switch ((uint32_t)cmd) { case BR_TRANSACTION: { binder_transaction_data tr; result = mIn.read(&tr, sizeof(tr)); //读取mIn数据 if (result != NO_ERROR) break; Parcel buffer; //当buffer对象回收时，则会调用freeBuffer来回收内存【见小节4.3.1】 buffer.ipcSetDataReference( reinterpret_cast<const uint8_t*>(tr.data.ptr.buffer), tr.data_size, reinterpret_cast<const binder_size_t*>(tr.data.ptr.offsets), tr.offsets_size/sizeof(binder_size_t), freeBuffer, this); const pid_t origPid = mCallingPid; const uid_t origUid = mCallingUid; const int32_t origStrictModePolicy = mStrictModePolicy; const int32_t origTransactionBinderFlags = mLastTransactionBinderFlags; //设置调用者的pid和uid mCallingPid = tr.sender_pid; mCallingUid = tr.sender_euid; mLastTransactionBinderFlags = tr.flags; int curPrio = getpriority(PRIO_PROCESS, mMyThreadId); if (gDisableBackgroundScheduling) { ... //不进入此分支 } else { if (curPrio >= ANDROID_PRIORITY_BACKGROUND) { set_sched_policy(mMyThreadId, SP_BACKGROUND); } } Parcel reply; status_t error; if (tr.target.ptr) { //尝试通过弱引用获取强引用 if (reinterpret_cast( tr.target.ptr)->attemptIncStrong(this)) { // tr.cookie里存放的是BBinder子类JavaBBinder [见流程4.4] error = reinterpret_cast(tr.cookie)->transact(tr.code, buffer, &reply, tr.flags); reinterpret_cast(tr.cookie)->decStrong(this); } else { error = UNKNOWN_TRANSACTION; } } else { error = the_context_object->transact(tr.code, buffer, &reply, tr.flags); } if ((tr.flags & TF_ONE_WAY) == 0) { if (error < NO_ERROR) reply.setError(error); //对于非oneway, 需要reply通信过程,则向Binder驱动发送BC_REPLY命令【见小节4.3.1】 sendReply(reply, 0); } //恢复pid和uid信息 mCallingPid = origPid; mCallingUid = origUid; ... } break; case ... default: result = UNKNOWN_ERROR; break; } if (result != NO_ERROR) { mLastError = result; } return result;} - 对于oneway的场景, 执行完本次transact()则全部结束.
- 对于非oneway, 需要reply的通信过程,则向Binder驱动发送BC_REPLY命令【见小节5.1】
4.3.1 ipcSetDataReference
[-> Parcel.cpp]
void Parcel::ipcSetDataReference(const uint8_t* data, size_t dataSize, const binder_size_t* objects, size_t objectsCount, release_func relFunc, void* relCookie){ binder_size_t minOffset = 0; freeDataNoInit(); //【见小节4.3.2】 mError = NO_ERROR; mData = const_cast<uint8_t*>(data); mDataSize = mDataCapacity = dataSize; mDataPos = 0; mObjects = const_cast<binder_size_t*>(objects); mObjectsSize = mObjectsCapacity = objectsCount; mNextObjectHint = 0; mOwner = relFunc; mOwnerCookie = relCookie; for (size_t i = 0; i < mObjectsSize; i++) { binder_size_t offset = mObjects[i]; if (offset < minOffset) { mObjectsSize = 0; break; } minOffset = offset + sizeof(flat_binder_object); } scanForFds();}该方法的功能，Parcel成员变量说明：
- mData：parcel数据起始地址
- mDataSize：parcel数据大小
- mObjects：flat_binder_object地址偏移量
- mObjectsSize：parcel中flat_binder_object个数
- mOwner：释放函数freebuffer
- mOwnerCookie：释放函数所需信息
4.3.2 freeDataNoInit
[-> Parcel.cpp]
void Parcel::freeDataNoInit(){ if (mOwner) { mOwner(this, mData, mDataSize, mObjects, mObjectsSize, mOwnerCookie); } else { //mOwner为空， 进入该分支 releaseObjects(); //【见小节4.3.3】 if (mData) { pthread_mutex_lock(&gParcelGlobalAllocSizeLock); if (mDataCapacity <= gParcelGlobalAllocSize) { gParcelGlobalAllocSize = gParcelGlobalAllocSize - mDataCapacity; } else { gParcelGlobalAllocSize = 0; } if (gParcelGlobalAllocCount > 0) { gParcelGlobalAllocCount--; } pthread_mutex_unlock(&gParcelGlobalAllocSizeLock); free(mData); } if (mObjects) free(mObjects); }}4.3.3 releaseObjects
void Parcel::releaseObjects(){ const sp proc(ProcessState::self()); size_t i = mObjectsSize; uint8_t* const data = mData; binder_size_t* const objects = mObjects; while (i > 0) { i--; const flat_binder_object* flat = reinterpret_cast(data+objects[i]); //【见小节4.3.4】 release_object(proc, *flat, this, &mOpenAshmemSize); }} 4.3.4 release_object
static void release_object(const sp& proc, const flat_binder_object& obj, const void* who, size_t* outAshmemSize) { switch (obj.type) { case BINDER_TYPE_BINDER: if (obj.binder) { reinterpret_cast(obj.cookie)->decStrong(who); } return; case BINDER_TYPE_WEAK_BINDER: if (obj.binder) reinterpret_cast(obj.binder)->decWeak(who); return; case BINDER_TYPE_HANDLE: { const sp b = proc->getStrongProxyForHandle(obj.handle); if (b != NULL) { b->decStrong(who); } return; } case BINDER_TYPE_WEAK_HANDLE: { const wp b = proc->getWeakProxyForHandle(obj.handle); if (b != NULL) b.get_refs()->decWeak(who); return; } case BINDER_TYPE_FD: { ... return; } }} 根据flat_binder_object的类型，来决定减少相应的强弱引用。
4.3.5 ~Parcel
[-> Parcel.cpp]
当[小节4.3]executeCommand执行完成后， 便会释放局部变量Parcel buffer，则会析构Parcel。
Parcel::~Parcel(){ freeDataNoInit();}void Parcel::freeDataNoInit(){ if (mOwner) { //此处mOwner等于freeBuffer 【见小节4.3.6】 mOwner(this, mData, mDataSize, mObjects, mObjectsSize, mOwnerCookie); } else { ... }}接下来，进入IPC的freeBuffer过程。
4.3.6 freeBuffer
[-> IPCThreadState.cpp]
void IPCThreadState::freeBuffer(Parcel* parcel, const uint8_t* data, size_t /*dataSize*/, const binder_size_t* /*objects*/, size_t /*objectsSize*/, void* /*cookie*/){ if (parcel != NULL) parcel->closeFileDescriptors(); IPCThreadState* state = self(); state->mOut.writeInt32(BC_FREE_BUFFER); state->mOut.writePointer((uintptr_t)data);}向Binder驱动写入BC_FREE_BUFFER命令。
4.4 BBinder.transact
[-> Binder.cpp ::BBinder ]
status_t BBinder::transact( uint32_t code, const Parcel& data, Parcel* reply, uint32_t flags){ data.setDataPosition(0); status_t err = NO_ERROR; switch (code) { case PING_TRANSACTION: reply->writeInt32(pingBinder()); break; default: err = onTransact(code, data, reply, flags); //【见流程4.5】 break; } if (reply != NULL) { reply->setDataPosition(0); } return err;}4.5 JavaBBinder.onTransact
[-> android_util_Binder.cpp]
virtual status_t onTransact( uint32_t code, const Parcel& data, Parcel* reply, uint32_t flags = 0){ JNIEnv* env = javavm_to_jnienv(mVM); IPCThreadState* thread_state = IPCThreadState::self(); //调用Binder.execTransact [见流程4.6] jboolean res = env->CallBooleanMethod(mObject, gBinderOffsets.mExecTransact, code, reinterpret_cast(&data), reinterpret_cast(reply), flags); jthrowable excep = env->ExceptionOccurred(); if (excep) { res = JNI_FALSE; //发生异常, 则清理JNI本地引用 env->DeleteLocalRef(excep); } ... return res != JNI_FALSE ? NO_ERROR : UNKNOWN_TRANSACTION;} 还记得AndroidRuntime::startReg过程吗, 其中有一个过程便是register_android_os_Binder(),该过程会把gBinderOffsets.mExecTransact便是Binder.java中的execTransact()方法.详见见Binder系列7—framework层分析文章中的第二节初始化的过程.
另外,此处mObject是在服务注册addService过程,会调用writeStrongBinder方法, 将Binder对象传入了JavaBBinder构造函数的参数, 最终赋值给mObject. 在本次通信过程中Object为ActivityManagerNative对象.
此处斗转星移, 从C++代码回到了Java代码. 进入AMN.execTransact, 由于AMN继续于Binder对象, 接下来进入Binder.execTransact
4.6 Binder.execTransact
[Binder.java]
private boolean execTransact(int code, long dataObj, long replyObj, int flags) { Parcel data = Parcel.obtain(dataObj); Parcel reply = Parcel.obtain(replyObj); boolean res; try { // 调用子类AMN.onTransact方法 [见流程4.7] res = onTransact(code, data, reply, flags); } catch (RemoteException e) { if ((flags & FLAG_ONEWAY) != 0) { ... } else { //非oneway的方式,则会将异常写回reply reply.setDataPosition(0); reply.writeException(e); } res = true; } catch (RuntimeException e) { if ((flags & FLAG_ONEWAY) != 0) { ... } else { reply.setDataPosition(0); reply.writeException(e); } res = true; } catch (OutOfMemoryError e) { RuntimeException re = new RuntimeException("Out of memory", e); reply.setDataPosition(0); reply.writeException(re); res = true; } reply.recycle(); data.recycle(); return res;}当发生RemoteException, RuntimeException, OutOfMemoryError, 对于非oneway的情况下都会把异常传递给调用者.
4.7 AMN.onTransact
[-> ActivityManagerNative.java]
public boolean onTransact(int code, Parcel data, Parcel reply, int flags) throws RemoteException { switch (code) { ... case START_SERVICE_TRANSACTION: { data.enforceInterface(IActivityManager.descriptor); IBinder b = data.readStrongBinder(); //生成ApplicationThreadNative的代理对象，即ApplicationThreadProxy对象 IApplicationThread app = ApplicationThreadNative.asInterface(b); Intent service = Intent.CREATOR.createFromParcel(data); String resolvedType = data.readString(); String callingPackage = data.readString(); int userId = data.readInt(); //调用ActivityManagerService的startService()方法【见流程4.8】 ComponentName cn = startService(app, service, resolvedType, callingPackage, userId); reply.writeNoException(); ComponentName.writeToParcel(cn, reply); return true; }}4.8 AMS.startService
public ComponentName startService(IApplicationThread caller, Intent service, String resolvedType, String callingPackage, int userId) throws TransactionTooLargeException { synchronized(this) { ... ComponentName res = mServices.startServiceLocked(caller, service, resolvedType, callingPid, callingUid, callingPackage, userId); Binder.restoreCallingIdentity(origId); return res; }}历经千山万水, 总算是进入了AMS.startService. 当system_server收到BR_TRANSACTION的过程后，通信并没有完全结束，还需将服务启动完成的回应消息 告诉给发起端进程。
五. Reply流程
还记得前面【小节2.10】IPC.waitForResponse()过程，对于非oneway的方式，还仍在一直等待system_server这边的响应呢，只有收到BR_REPLY，或者BR_DEAD_REPLY，或者BR_FAILED_REPLY，再或许其他BR_命令执行出错的情况下，该waitForResponse()才会退出。
BR_REPLY命令是如何来的呢？【小节4.3】IPC.executeCommand()过程处理完BR_TRANSACTION命令的同时，还会通过sendReply()向Binder Driver发送BC_REPLY消息，接下来从该方法说起。
5.1 IPC.sendReply
status_t IPCThreadState::sendReply(const Parcel& reply, uint32_t flags){ status_t err; status_t statusBuffer; //[见小节2.10] err = writeTransactionData(BC_REPLY, flags, -1, 0, reply, &statusBuffer); if (err < NO_ERROR) return err; //[见小节5.3] return waitForResponse(NULL, NULL);}先将数据写入mOut；再进waitForResponse，等待应答，此时同理也是等待BR_TRANSACTION_COMPLETE。 同理经过IPC.talkWithDriver -> binder_ioctl -> binder_ioctl_write_read -> binder_thread_write， 再就是进入binder_transaction方法。
5.2 BC_REPLY
// reply =truestatic void binder_transaction(struct binder_proc *proc, struct binder_thread *thread, struct binder_transaction_data *tr, int reply){ ... if (reply) { in_reply_to = thread->transaction_stack; //接收端的事务栈 ... thread->transaction_stack = in_reply_to->to_parent; target_thread = in_reply_to->from; //发起端的线程 //发起端线程不能为空 if (target_thread == NULL) { return_error = BR_DEAD_REPLY; goto err_dead_binder; } //发起端线程的事务栈 要等于 接收端的事务栈 if (target_thread->transaction_stack != in_reply_to) { return_error = BR_FAILED_REPLY; in_reply_to = NULL; target_thread = NULL; goto err_dead_binder; } target_proc = target_thread->proc; //发起端的进程 } else { ... } if (target_thread) { //发起端的线程 target_list = &target_thread->todo; target_wait = &target_thread->wait; } else { ... } t = kzalloc(sizeof(*t), GFP_KERNEL); tcomplete = kzalloc(sizeof(*tcomplete), GFP_KERNEL); ... if (!reply && !(tr->flags & TF_ONE_WAY)) t->from = thread; else t->from = NULL; //进入该分支 t->sender_euid = task_euid(proc->tsk); t->to_proc = target_proc; t->to_thread = target_thread; t->code = tr->code; t->flags = tr->flags; t->priority = task_nice(current); // 发起端进程分配buffer t->buffer = binder_alloc_buf(target_proc, tr->data_size, tr->offsets_size, !reply && (t->flags & TF_ONE_WAY)); ... t->buffer->allow_user_free = 0; t->buffer->transaction = t; t->buffer->target_node = target_node; if (target_node) binder_inc_node(target_node, 1, 0, NULL); //分别拷贝用户空间的binder_transaction_data中ptr.buffer和ptr.offsets到内核 copy_from_user(t->buffer->data, (const void __user *)(uintptr_t)tr->data.ptr.buffer, tr->data_size); copy_from_user(offp, (const void __user *)(uintptr_t)tr->data.ptr.offsets, tr->offsets_size); ... if (reply) { binder_pop_transaction(target_thread, in_reply_to); } else if (!(t->flags & TF_ONE_WAY)) { ... } else { ... } //将BINDER_WORK_TRANSACTION添加到目标队列，本次通信的目标队列为target_thread->todo t->work.type = BINDER_WORK_TRANSACTION; list_add_tail(&t->work.entry, target_list); //将BINDER_WORK_TRANSACTION_COMPLETE添加到当前线程的todo队列 tcomplete->type = BINDER_WORK_TRANSACTION_COMPLETE; list_add_tail(&tcomplete->entry, &thread->todo); //唤醒等待队列，本次通信的目标队列为target_thread->wait if (target_wait) wake_up_interruptible(target_wait); return;binder_transaction -> binder_thread_read -> IPC.waitForResponse，收到BR_REPLY来回收buffer.
5.3 BR_REPLY
status_t IPCThreadState::waitForResponse(Parcel *reply, status_t *acquireResult){ int32_t cmd; int32_t err; while (1) { if ((err=talkWithDriver()) < NO_ERROR) break; // 【见小节2.11】 if (mIn.dataAvail() == 0) continue; ... cmd = mIn.readInt32(); switch (cmd) { ... case BR_REPLY: { binder_transaction_data tr; err = mIn.read(&tr, sizeof(tr)); if (err != NO_ERROR) goto finish; if (reply) { ... } else { // 释放buffer[见小节5.4] freeBuffer(NULL, reinterpret_castuint8_t*>(tr.data.ptr.buffer), tr.data_size, reinterpret_castbinder_size_t*>(tr.data.ptr.offsets), tr.offsets_size/sizeof(binder_size_t), this); continue; } } goto finish; default: err = executeCommand(cmd); ... break; } } ...} 5.4 IPC.freeBuffer
void IPCThreadState::freeBuffer(Parcel* parcel, const uint8_t* data, size_t /*dataSize*/, const binder_size_t* /*objects*/, size_t /*objectsSize*/, void* /*cookie*/){ if (parcel != NULL) parcel->closeFileDescriptors(); IPCThreadState* state = self(); state->mOut.writeInt32(BC_FREE_BUFFER); state->mOut.writePointer((uintptr_t)data);}将BC_FREE_BUFFER写入mOut,再talkWithDriver()
5.5 BC_FREE_BUFFER
static int binder_thread_write(struct binder_proc *proc, struct binder_thread *thread, binder_uintptr_t binder_buffer, size_t size, binder_size_t *consumed){ uint32_t cmd; void __user *buffer = (void __user *)(uintptr_t)binder_buffer; void __user *ptr = buffer + *consumed; void __user *end = buffer + size; while (ptr < end && thread->return_error == BR_OK) { //拷贝用户空间的cmd命令，此时为BC_FREE_BUFFER if (get_user(cmd, (uint32_t __user *)ptr)) -EFAULT; ptr += sizeof(uint32_t); switch (cmd) { case BC_TRANSACTION: case BC_REPLY: ... case BC_FREE_BUFFER: { void __user *data_ptr; struct binder_buffer *buffer; if (get_user(data_ptr, (void * __user *)ptr)) return -EFAULT; ptr += sizeof(void *); buffer = binder_buffer_lookup(proc, data_ptr); ... if (buffer->transaction) { buffer->transaction->buffer = NULL; buffer->transaction = NULL; } // binder_buffer存在异步事务,且binder_node不为空 if (buffer->async_transaction && buffer->target_node) { if (list_empty(&buffer->target_node->async_todo)) buffer->target_node->has_async_transaction = 0; else //当异步队列async_todo也不为空,则事务追加到该线程todo队列. list_move_tail(buffer->target_node->async_todo.next, &thread->todo); } binder_transaction_buffer_release(proc, buffer, NULL); binder_free_buf(proc, buffer); break; } } *consumed = ptr - buffer; } return 0;}接收端线程处理BC_FREE_BUFFER命令:
- 当binder_buffer存在异步事务,当异步队列async_todo也不为空,则事务追加到该线程todo队列.
- 释放当前的buffer.
5.6 binder_thread_read
binder_thread_read（）{ ... while (1) { uint32_t cmd; struct binder_transaction_data tr; struct binder_work *w; struct binder_transaction *t = NULL; //从线程todo队列获取事务数据 if (!list_empty(&thread->todo)) { w = list_first_entry(&thread->todo, struct binder_work, entry); } else if (!list_empty(&proc->todo) && wait_for_proc_work) { ... } else { ... } switch (w->type) { case BINDER_WORK_TRANSACTION: //获取transaction数据 t = container_of(w, struct binder_transaction, work); break; ... } ... if (t->buffer->target_node) { //获取目标node struct binder_node *target_node = t->buffer->target_node; tr.target.ptr = target_node->ptr; tr.cookie = target_node->cookie; t->saved_priority = task_nice(current); ... cmd = BR_TRANSACTION; //设置命令为BR_TRANSACTION } else { tr.target.ptr = NULL; tr.cookie = NULL; cmd = BR_REPLY; //设置命令为BR_REPLY } tr.code = t->code; tr.flags = t->flags; tr.sender_euid = t->sender_euid; ... //将cmd和数据写回用户空间 if (put_user(cmd, (uint32_t __user *)ptr)) return -EFAULT; ptr += sizeof(uint32_t); if (copy_to_user(ptr, &tr, sizeof(tr))) return -EFAULT; ptr += sizeof(tr); list_del(&t->work.entry); t->buffer->allow_user_free = 1; if (cmd == BR_TRANSACTION && !(t->flags & TF_ONE_WAY)) { t->to_parent = thread->transaction_stack; t->to_thread = thread; thread->transaction_stack = t; } else { t->buffer->transaction = NULL; kfree(t); //通信完成,则运行释放 } break; } ... return 0;}六. 总结
本文详细地介绍如何从AMP.startService是如何通过Binder一步步调用进入到system_server进程的AMS.startService. 整个过程涉及Java framework, native, kernel driver各个层面知识. 仅仅一个Binder IPC调用, 就花费了如此大篇幅来讲解, 可见系统之庞大. 整个过程的调用流程:
6.1 通信流程
从通信流程角度来看整个过程:
图解:
- 发起端线程向Binder Driver发起binder ioctl请求后, 便采用环不断talkWithDriver,此时该线程处于阻塞状态, 直到收到如下BR_XXX命令才会结束该过程.
- BR_TRANSACTION_COMPLETE: oneway模式下,收到该命令则退出
- BR_REPLY: 非oneway模式下,收到该命令才退出;
- BR_DEAD_REPLY: 目标进程/线程/binder实体为空, 以及释放正在等待reply的binder thread或者binder buffer;
- BR_FAILED_REPLY: 情况较多,比如非法handle, 错误事务栈, security, 内存不足, buffer不足, 数据拷贝失败, 节点创建失败, 各种不匹配等问题
- BR_ACQUIRE_RESULT: 目前未使用的协议;
- 左图中waitForResponse收到BR_TRANSACTION_COMPLETE,则直接退出循环, 则没有机会执行executeCommand()方法, 故将其颜色画为灰色. 除以上5种BR_XXX命令, 当收到其他BR命令,则都会执行executeCommand过程.
- 目标Binder线程创建后, 便进入joinThreadPool()方法, 采用循环不断地循环执行getAndExecuteCommand()方法, 当bwr的读写buffer都没有数据时,则阻塞在binder_thread_read的wait_event过程. 另外,正常情况下binder线程一旦创建则不会退出.
6.2 通信协议
从通信协议的角度来看这个过程:
- Binder客户端或者服务端向Binder Driver发送的命令都是以BC_开头,例如本文的
BC_TRANSACTION和BC_REPLY, 所有Binder Driver向Binder客户端或者服务端发送的命令则都是以BR_开头, 例如本文中的BR_TRANSACTION和BR_REPLY. - 只有当
BC_TRANSACTION或者BC_REPLY时, 才调用binder_transaction()来处理事务. 并且都会回应调用者一个BINDER_WORK_TRANSACTION_COMPLETE事务, 经过binder_thread_read()会转变成BR_TRANSACTION_COMPLETE. - startService过程便是一个非oneway的过程, 那么oneway的通信过程如下所述.
6.3 说一说oneway
上图是非oneway通信过程的协议图, 下图则是对于oneway场景下的通信协议图:
当收到BR_TRANSACTION_COMPLETE则程序返回,有人可能觉得好奇,为何oneway怎么还要等待回应消息? 我举个例子,你就明白了.
你(app进程)要给远方的家人(system_server进程)邮寄一封信(transaction), 你需要通过邮寄员(Binder Driver)来完成.整个过程如下:
- 你把信交给邮寄员(
BC_TRANSACTION); - 邮寄员收到信后, 填一张单子给你作为一份回执(
BR_TRANSACTION_COMPLETE). 这样你才放心知道邮递员已确定接收信, 否则就这样走了,信到底有没有交到邮递员手里都不知道,这样的通信实在太让人不省心, 长时间收不到远方家人的回信, 无法得知是在路的中途信件丢失呢,还是压根就没有交到邮递员的手里. 所以说oneway也得知道信是投递状态是否成功. - 邮递员利用交通工具(Binder Driver),将信交给了你的家人(
BR_TRANSACTION);
当你收到回执(BR_TRANSACTION_COMPLETE)时心里也不期待家人回信, 那么这便是一次oneway的通信过程.
如果你希望家人回信, 那便是非oneway的过程,在上述步骤2后并不是直接返回,而是继续等待着收到家人的回信, 经历前3个步骤之后继续执行:
- 家人收到信后, 立马写了个回信交给邮递员
BC_REPLY; - 同样,邮递员要写一个回执(
BR_TRANSACTION_COMPLETE)给你家人; - 邮递员再次利用交通工具(Binder Driver), 将回信成功交到你的手上(
BR_REPLY)
这便是一次完成的非oneway通信过程.
oneway与非oneway: 都是需要等待Binder Driver的回应消息BR_TRANSACTION_COMPLETE. 主要区别在于oneway的通信收到BR_TRANSACTION_COMPLETE则返回,而不会再等待BR_REPLY消息的到来. 另外，oneway的binder IPC则接收端无法获取对方的pid.
6.4 小规律
- BC_TRANSACTION + BC_REPLY = BR_TRANSACTION_COMPLETE + BR_DEAD_REPLY + BR_FAILED_REPLY
- Binder线程只有当本线程的thread->todo队列为空，并且thread->transaction_stack也为空，才会去处理当前进程的事务， 否则会继续处理或等待当前线程的todo队列事务。换句话说，就是只有当前线程的事务;
- binder_thread_write: 添加成员到todo队列;
- binder_thread_read: 消耗todo队列;
- 对于处于空闲可用的,或者Ready的binder线程是指停在binder_thread_read()的wait_event地方的Binder线程;
- 每一次BR_TRANSACTION或者BR_REPLY结束之后都会调用freeBuffer().
- ProcessState.mHandleToObject记录着handle与对应的BpBinder信息。
整个过程copy once便是指binder_transaction()过程把binder_transaction_data->data拷贝到目标进程的buffer。
6.5 数据流
- [2.1]AMP.startService：组装flat_binder_object对象等组成的Parcel data；
- [2.9]IPC.writeTransactionData：组装BC_TRANSACTION和binder_transaction_data结构体，写入mOut;
- [2.11]IPC.talkWithDriver: 组装BINDER_WRITE_READ和binder_write_read结构体，通过ioctl传输到驱动层。
进入驱动后
- [3.3]binder_thread_write: 处理binder_write_read.write_buffer数据
- [3.4]binder_transaction: 处理write_buffer.binder_transaction_data数据；
- 创建binder_transaction结构体，记录事务通信的线程来源以及事务链条等相关信息；
- 分配binder_buffer结构体，拷贝当前线程binder_transaction_data的data数据到binder_buffer->data；
- [3.5]binder_thread_read: 处理binder_transaction结构体数据
- 组装cmd=BR_TRANSACTION和binder_transaction_data结构体，写入binder_write_read.read_buffer数据
回到用户空间
- [4.3]IPC.executeCommand：处理BR_TRANSACTION命令, 将binder_transaction_data数据解析成BBinder.transact()所需的参数
- [4.7] AMN.onTransact: 层层回调，进入该方法，反序列化数据后，调用startService()方法。
更多相关文章
- Android开发艺术探索—— 第十一章Android的线程和线程池
- 无废话Android之smartimageview使用、android多线程下载、显式意
- android，handler实现两个线程通信
- Android中UI主线程与子线程
- Android 在非UI线程直接更新UI信息
- Android线程池的简单使用
- android子线程创建handler