解读Java进程的Trace文件

Posted by Gityuan on November 26, 2016

分析Art虚拟机的trace原理,相关源码都位于/art/runtime目录:

/art/runtime/
    - signal_catcher.cc
    - runtime.cc
    - intern_table.cc
    - thread_list.cc
    - java_vm_ext.cc
    - class_linker.cc
    - gc/heap.cc

一、概述

Android 6.0系统采用的art虚拟机,所有的Java进程都运行在art之上,当应用发生ANR(Application Not Response,其中最终的一个环节便是向目标进程发送信号SIGNAL_QUIT, 传统的linux则是终止程序并输出core;而对于Android进程来说当收到SIGQUIT时,Java层面的进程都是跑在虚拟机之上的,ART虚拟机会捕获该信号,并输出相应的traces信息保存到目录/data/anr/traces.txt。

当然也可以通过一条命令来获取指定进程的traces信息,例如输出pid=888的进程信息:

adb shell kill -3 888 //可指定进程pid

执行完该命令后traces信息的结果保存到文件/data/anr/traces.txt,如下:

//[见小节2.2]
----- pid 888 at 2016-11-11 22:22:22 -----
Cmd line: system_server
ABI: arm
Build type: optimized
//[见小节3.1]
Zygote loaded classes=4113 post zygote classes=3239
//[见小节3.2]
Intern table: 57550 strong; 9315 weak
//共加载16动态库 [见小节3.3]
JNI: CheckJNI is off; globals=2418 (plus 115 weak)
Libraries: /system/lib/libandroid.so /system/lib/libandroid_servers.so /system/lib/libaudioeffect_jni.so /system/lib/libcompiler_rt.so /system/lib/libjavacrypto.so /system/lib/libjnigraphics.so /system/lib/libmedia_jni.so /system/lib/librs_jni.so /system/lib/libsechook.so /system/lib/libshell_jni.so /system/lib/libsoundpool.so /system/lib/libwebviewchromium_loader.so /system/lib/libwifi-service.so /vendor/lib/libalarmservice_jni.so /vendor/lib/liblocationservice.so libjavacore.so (16)
//已分配堆内存大小40MB,其中29M已用,总分配207772个对象 [见小节3.4]
Heap: 27% free, 29MB/40MB; 307772 objects
... //省略GC相关信息

//当前进程总99个线程[见小节3.5]
DALVIK THREADS (99):
//主线程调用栈[见小节3.6]
"main" prio=5 tid=1 Native
  | group="main" sCount=1 dsCount=0 obj=0x75bd9fb0 self=0x5573d4f770
  | sysTid=12078 nice=-2 cgrp=default sched=0/0 handle=0x7fa75fafe8
  | state=S schedstat=( 5907843636 827600677 5112 ) utm=453 stm=137 core=0 HZ=100
  | stack=0x7fd64ef000-0x7fd64f1000 stackSize=8MB
  | held mutexes=
  //内核栈[见小节3.6.2]
  kernel: __switch_to+0x70/0x7c
  kernel: SyS_epoll_wait+0x2a0/0x324
  kernel: SyS_epoll_pwait+0xa4/0x120
  kernel: cpu_switch_to+0x48/0x4c
  native: #00 pc 0000000000069be4  /system/lib64/libc.so (__epoll_pwait+8)
  native: #01 pc 000000000001cca4  /system/lib64/libc.so (epoll_pwait+32)
  native: #02 pc 000000000001ad74  /system/lib64/libutils.so (_ZN7android6Looper9pollInnerEi+144)
  native: #03 pc 000000000001b154  /system/lib64/libutils.so (_ZN7android6Looper8pollOnceEiPiS1_PPv+80)
  native: #04 pc 00000000000d4bc0  /system/lib64/libandroid_runtime.so (_ZN7android18NativeMessageQueue8pollOnceEP7_JNIEnvP8_jobjecti+48)
  native: #05 pc 000000000000082c  /data/dalvik-cache/arm64/system@framework@boot.oat (Java_android_os_MessageQueue_nativePollOnce__JI+144)
  at android.os.MessageQueue.nativePollOnce(Native method)
  at android.os.MessageQueue.next(MessageQueue.java:323)
  at android.os.Looper.loop(Looper.java:135)
  at com.android.server.SystemServer.run(SystemServer.java:290)
  at com.android.server.SystemServer.main(SystemServer.java:175)
  at java.lang.reflect.Method.invoke!(Native method)
  at com.android.internal.os.ZygoteInit$MethodAndArgsCaller.run(ZygoteInit.java:738)
  at com.android.internal.os.ZygoteInit.main(ZygoteInit.java:628)
  
"Binder_1" prio=5 tid=8 Native
  | group="main" sCount=1 dsCount=0 obj=0x12c610a0 self=0x5573e5c750
  | sysTid=12092 nice=0 cgrp=default sched=0/0 handle=0x7fa2743450
  | state=S schedstat=( 796240075 863170759 3586 ) utm=50 stm=29 core=1 HZ=100
  | stack=0x7fa2647000-0x7fa2649000 stackSize=1013KB
  | held mutexes=
  kernel: __switch_to+0x70/0x7c
  kernel: binder_thread_read+0xd78/0xeb0
  kernel: binder_ioctl_write_read+0x178/0x24c
  kernel: binder_ioctl+0x2b0/0x5e0
  kernel: do_vfs_ioctl+0x4a4/0x578
  kernel: SyS_ioctl+0x5c/0x88
  kernel: cpu_switch_to+0x48/0x4c
  native: #00 pc 0000000000069cd0  /system/lib64/libc.so (__ioctl+4)
  native: #01 pc 0000000000073cf4  /system/lib64/libc.so (ioctl+100)
  native: #02 pc 000000000002d6e8  /system/lib64/libbinder.so (_ZN7android14IPCThreadState14talkWithDriverEb+164)
  native: #03 pc 000000000002df3c  /system/lib64/libbinder.so (_ZN7android14IPCThreadState20getAndExecuteCommandEv+24)
  native: #04 pc 000000000002e114  /system/lib64/libbinder.so (_ZN7android14IPCThreadState14joinThreadPoolEb+124)
  native: #05 pc 0000000000036c38  /system/lib64/libbinder.so (???)
  native: #06 pc 000000000001579c  /system/lib64/libutils.so (_ZN7android6Thread11_threadLoopEPv+208)
  native: #07 pc 0000000000090598  /system/lib64/libandroid_runtime.so (_ZN7android14AndroidRuntime15javaThreadShellEPv+96)
  native: #08 pc 0000000000014fec  /system/lib64/libutils.so (???)
  native: #09 pc 0000000000067754  /system/lib64/libc.so (_ZL15__pthread_startPv+52)
  native: #10 pc 000000000001c644  /system/lib64/libc.so (__start_thread+16)
  (no managed stack frames)
... //此处省略剩余的N个线程.

接下来从虚拟机角度说说目标进程收到该信号的处理过程,每一行关键信息都说明其所对应的输出方法。

trace参数解读

"Binder_1" prio=5 tid=8 Native
  | group="main" sCount=1 dsCount=0 obj=0x12c610a0 self=0x5573e5c750
  | sysTid=12092 nice=0 cgrp=default sched=0/0 handle=0x7fa2743450
  | state=S schedstat=( 796240075 863170759 3586 ) utm=50 stm=29 core=1 HZ=100
  | stack=0x7fa2647000-0x7fa2649000 stackSize=1013KB
  | held mutexes=

说明:

  • 第0行:
    • 线程名: Binder_1(如有daemon则代表守护线程)
    • prio: 线程优先级
    • tid: 线程内部id
    • 线程状态: NATIVE
  • 第1行:
    • group: 线程所属的线程组
    • sCount: 线程挂起次数
    • dsCount: 用于调试的线程挂起次数
    • obj: 当前线程关联的java线程对象
    • self: 当前线程地址
  • 第2行:
    • sysTid:线程真正意义上的tid
    • nice: 调度有优先级
    • cgrp: 进程所属的进程调度组
    • sched: 调度策略
    • handle: 函数处理地址
  • 第3行:
    • state: 线程状态
    • schedstat: CPU调度时间统计, 见proc/[pid]/task/[tid]/schedstat
    • utm/stm: 用户态/内核态的CPU时间(单位是jiffies), 见proc/[pid]/task/[tid]/stat
    • core: 该线程的最后运行所在核
    • HZ: 时钟频率
  • 第4行:
    • stack:线程栈的地址区间
    • stackSize:栈的大小
  • 第5行:
    • mutex: 所持有mutex类型,有独占锁exclusive和共享锁shared两类

    schedstat含义说明:

    binder_cpu

    nice值越小则优先级越高。此处nice=-2, 可见优先级还是比较高的;

    schedstat括号中的3个数字依次是Running、Runable、Switch,紧接着的是utm和stm

    • Running时间:CPU运行的时间,单位ns
    • Runable时间:RQ队列的等待时间,单位ns
    • Switch次数:CPU调度切换次数
    • utm: 该线程在用户态所执行的时间,单位是jiffies,jiffies定义为sysconf(_SC_CLK_TCK),默认等于10ms
    • stm: 该线程在内核态所执行的时间,单位是jiffies,默认等于10ms

    可见,该线程Running=186667489018ns,也约等于186667ms。在CPU运行时间包括用户态(utm)和内核态(stm)。 utm + stm = (12112 + 6554) ×10 ms = 186666ms。

    结论:utm + stm = schedstat第一个参数值。

二. ART信号捕获

2.1 SignalCatcher

[-> SignalCatcher.cc]

void* SignalCatcher::Run(void* arg) {
  SignalCatcher* signal_catcher = reinterpret_cast<SignalCatcher*>(arg);
  Runtime* runtime = Runtime::Current();
  
  Thread* self = Thread::Current();
  //当前进程状态处于非Runnable是
  DCHECK_NE(self->GetState(), kRunnable);
  {
    MutexLock mu(self, signal_catcher->lock_);
    signal_catcher->thread_ = self;
    signal_catcher->cond_.Broadcast(self);
  }

  //设置需要handle的信号
  SignalSet signals;
  signals.Add(SIGQUIT); //信号3
  signals.Add(SIGUSR1); //信号10

  while (true) {
    int signal_number = signal_catcher->WaitForSignal(self, signals);
    if (signal_catcher->ShouldHalt()) {
      runtime->DetachCurrentThread();
      return nullptr;
    }

    switch (signal_number) {
    case SIGQUIT:
      //收到信号3 【见小节2.2】
      signal_catcher->HandleSigQuit();
      break;
    case SIGUSR1:
      signal_catcher->HandleSigUsr1();
      break;
    default:
      LOG(ERROR) << "Unexpected signal %d" << signal_number;
      break;
    }
  }
}

2.2 SignalCatcher::HandleSigQuit

[-> signal_catcher.cc]

void SignalCatcher::HandleSigQuit() {
  Runtime* runtime = Runtime::Current();
  std::ostringstream os;
  os << "\n" << "----- pid " << getpid() << " at " << GetIsoDate() << " -----\n";

  DumpCmdLine(os);

  std::string fingerprint = runtime->GetFingerprint();
  os << "Build fingerprint: '" << (fingerprint.empty() ? "unknown" : fingerprint) << "'\n";
  os << "ABI: '" << GetInstructionSetString(runtime->GetInstructionSet()) << "'\n";
  os << "Build type: " << (kIsDebugBuild ? "debug" : "optimized") << "\n";
  // [见小节2.3]
  runtime->DumpForSigQuit(os);

  os << "----- end " << getpid() << " -----\n";
  // [见小节3.7]
  Output(os.str());
}

2.3 Runtime::DumpForSigQuit

[-> runtime.cc]

void Runtime::DumpForSigQuit(std::ostream& os) {
  GetClassLinker()->DumpForSigQuit(os); //[见小节3.1]
  GetInternTable()->DumpForSigQuit(os); //[见小节3.2]
  GetJavaVM()->DumpForSigQuit(os); //[见小节3.3]
  GetHeap()->DumpForSigQuit(os); //[见小节3.4]
  TrackedAllocators::Dump(os);
  os << "\n";

  thread_list_->DumpForSigQuit(os); //[见小节3.5]
  BaseMutex::DumpAll(os);
}

三. trace信息

3.1 ClassLinker

[-> class_linker.cc]

void ClassLinker::DumpForSigQuit(std::ostream& os) {
  Thread* self = Thread::Current();
  if (dex_cache_image_class_lookup_required_) {
    ScopedObjectAccess soa(self);
    MoveImageClassesToClassTable();
  }
  ReaderMutexLock mu(self, *Locks::classlinker_classes_lock_);
  os << "Zygote loaded classes=" << pre_zygote_class_table_.Size() << " post zygote classes="
     << class_table_.Size() << "\n";
}

3.2 InternTable

[-> intern_table.cc]

void InternTable::DumpForSigQuit(std::ostream& os) const {
  os << "Intern table: " << StrongSize() << " strong; " << WeakSize() << " weak\n";
}

3.3 JavaVMExt

[-> java_vm_ext.cc]

void JavaVMExt::DumpForSigQuit(std::ostream& os) {
  os << "JNI: CheckJNI is " << (check_jni_ ? "on" : "off");
  if (force_copy_) {
    os << " (with forcecopy)";
  }
  Thread* self = Thread::Current();
  {
    ReaderMutexLock mu(self, globals_lock_);
    os << "; globals=" << globals_.Capacity();
  }
  {
    MutexLock mu(self, weak_globals_lock_);
    if (weak_globals_.Capacity() > 0) {
      os << " (plus " << weak_globals_.Capacity() << " weak)";
    }
  }
  os << '\n';

  {
    MutexLock mu(self, *Locks::jni_libraries_lock_);
    os << "Libraries: " << Dumpable<Libraries>(*libraries_) << " (" << libraries_->size() << ")\n";
  }
}

3.4 Heap

[-> heap.cc]

void Heap::DumpForSigQuit(std::ostream& os) {
  os << "Heap: " << GetPercentFree() << "% free, " << PrettySize(GetBytesAllocated()) << "/"
     << PrettySize(GetTotalMemory()) << "; " << GetObjectsAllocated() << " objects\n";
  DumpGcPerformanceInfo(os);  //输出大量gc相关的信息
}

DumpGcPerformanceInfo()这个方法的参数非常多,先省略, 后续再单独用一篇文章来讲解.

3.5 ThreadList

[-> thread_list.cc]

void ThreadList::DumpForSigQuit(std::ostream& os) {
    {
        ScopedObjectAccess soa(Thread::Current());

        if (suspend_all_historam_.SampleSize() > 0) {
          Histogram<uint64_t>::CumulativeData data;
          suspend_all_historam_.CreateHistogram(&data);
          suspend_all_historam_.PrintConfidenceIntervals(os, 0.99, data);  // Dump time to suspend.
        }
    }
    Dump(os); // [见小节3.5.1]
    DumpUnattachedThreads(os); //[见小节3.5.2]
}

3.5.1 Dump

[-> thread_list.cc]

void ThreadList::Dump(std::ostream& os) {
  {
    MutexLock mu(Thread::Current(), *Locks::thread_list_lock_);
    //输出当前进程的线程个数
    os << "DALVIK THREADS (" << list_.size() << "):\n";
  }
  DumpCheckpoint checkpoint(&os);
  //执行checkpoint检查
  size_t threads_running_checkpoint = RunCheckpoint(&checkpoint);
  if (threads_running_checkpoint != 0) {
    checkpoint.WaitForThreadsToRunThroughCheckpoint(threads_running_checkpoint);
  }
}

DALVIK THREADS (25)代表的是当前虚拟机中的线程个数为25. 另外, 此处RunCheckpoint方法比较重要,涉及进程的suspend状态问题.

3.5.2 DumpUnattachedThreads

[-> thread_list.cc]

void ThreadList::DumpUnattachedThreads(std::ostream& os) {
  DIR* d = opendir("/proc/self/task");
  if (!d) {
    return;
  }

  Thread* self = Thread::Current();
  dirent* e;
  while ((e = readdir(d)) != nullptr) {
    char* end;
    pid_t tid = strtol(e->d_name, &end, 10);
    if (!*end) {
      bool contains;
      {
        MutexLock mu(self, *Locks::thread_list_lock_);
        contains = Contains(tid);
      }
      if (!contains) {
        DumpUnattachedThread(os, tid); //[见小节3.6]
      }
    }
  }
  closedir(d);
}

获取当前进程中所有的线程

3.6 DumpUnattachedThread

[-> thread_list.cc]

static void DumpUnattachedThread(std::ostream& os, pid_t tid) NO_THREAD_SAFETY_ANALYSIS {
  Thread::DumpState(os, nullptr, tid); //[见小节3.6.1]
  DumpKernelStack(os, tid, "  kernel: ", false); //[见小节3.6.2]
  os << "\n";
}

将进程中的每个线程都执行一次该方法

3.6.1 Thread::DumpState

[-> thread.cc]

void Thread::DumpState(std::ostream& os, const Thread* thread, pid_t tid) {
  std::string group_name;
  int priority;
  bool is_daemon = false;
  Thread* self = Thread::Current();

  if (thread != nullptr) {
    ... //若为空则不进入该分支
  }

  if (gAborting == 0 && self != nullptr && thread != nullptr && thread->tlsPtr_.opeer != nullptr) {
    ScopedObjectAccessUnchecked soa(self);
    priority = soa.DecodeField(WellKnownClasses::java_lang_Thread_priority)
        ->GetInt(thread->tlsPtr_.opeer);
    is_daemon = soa.DecodeField(WellKnownClasses::java_lang_Thread_daemon)
        ->GetBoolean(thread->tlsPtr_.opeer);

    mirror::Object* thread_group =
        soa.DecodeField(WellKnownClasses::java_lang_Thread_group)->GetObject(thread->tlsPtr_.opeer);

    if (thread_group != nullptr) {
      ArtField* group_name_field =
          soa.DecodeField(WellKnownClasses::java_lang_ThreadGroup_name);
      mirror::String* group_name_string =
          reinterpret_cast<mirror::String*>(group_name_field->GetObject(thread_group));
      group_name = (group_name_string != nullptr) ? group_name_string->ToModifiedUtf8() : "<null>";
    }
  } else {
    priority = GetNativePriority();
  }

  std::string scheduler_group_name(GetSchedulerGroupName(tid));
  if (scheduler_group_name.empty()) {
    scheduler_group_name = "default";
  }
  //线程名,优先级,tid,线程状态
  if (thread != nullptr) {
    os << '"' << *thread->tlsPtr_.name << '"';
    if (is_daemon) {
      os << " daemon";
    }
    os << " prio=" << priority
       << " tid=" << thread->GetThreadId()
       << " " << thread->GetState();  //获取线程状态
    if (thread->IsStillStarting()) {
      os << " (still starting up)";
    }
    os << "\n";
  //当线程为空指针,则输出not attached
  } else {
    os << '"' << ::art::GetThreadName(tid) << '"'
       << " prio=" << priority
       << " (not attached)\n";
  }

  if (thread != nullptr) {
    MutexLock mu(self, *Locks::thread_suspend_count_lock_);
    os << "  | group=\"" << group_name << "\""
       << " sCount=" << thread->tls32_.suspend_count
       << " dsCount=" << thread->tls32_.debug_suspend_count
       << " obj=" << reinterpret_cast<void*>(thread->tlsPtr_.opeer)
       << " self=" << reinterpret_cast<const void*>(thread) << "\n";
  }

  os << "  | sysTid=" << tid
     << " nice=" << getpriority(PRIO_PROCESS, tid)
     << " cgrp=" << scheduler_group_name;
  if (thread != nullptr) {
    int policy;
    sched_param sp;
    CHECK_PTHREAD_CALL(pthread_getschedparam, (thread->tlsPtr_.pthread_self, &policy, &sp),
                       __FUNCTION__);
    os << " sched=" << policy << "/" << sp.sched_priority
       << " handle=" << reinterpret_cast<void*>(thread->tlsPtr_.pthread_self);
  }
  os << "\n";

  std::string scheduler_stats;
  
  //读取节点/proc/self/task/%d/schedstat
  if (ReadFileToString(StringPrintf("/proc/self/task/%d/schedstat", tid), &scheduler_stats)) {
    scheduler_stats.resize(scheduler_stats.size() - 1); 
  } else {
    scheduler_stats = "0 0 0";
  }

  char native_thread_state = '?';
  int utime = 0;
  int stime = 0;
  int task_cpu = 0;
  // 读取节点/proc/self/task/%d/stat
  GetTaskStats(tid, &native_thread_state, &utime, &stime, &task_cpu);

  os << "  | state=" << native_thread_state
     << " schedstat=( " << scheduler_stats << " )"
     << " utm=" << utime
     << " stm=" << stime
     << " core=" << task_cpu
     << " HZ=" << sysconf(_SC_CLK_TCK) << "\n";
  if (thread != nullptr) {
    os << "  | stack=" << reinterpret_cast<void*>(thread->tlsPtr_.stack_begin) << "-"
        << reinterpret_cast<void*>(thread->tlsPtr_.stack_end) << " stackSize="
        << PrettySize(thread->tlsPtr_.stack_size) << "\n";

    os << "  | held mutexes=";
    for (size_t i = 0; i < kLockLevelCount; ++i) {
      if (i != kMonitorLock) {
        BaseMutex* mutex = thread->GetHeldMutex(static_cast<LockLevel>(i));
        if (mutex != nullptr) {
          os << " \"" << mutex->GetName() << "\"";
          if (mutex->IsReaderWriterMutex()) {
            ReaderWriterMutex* rw_mutex = down_cast<ReaderWriterMutex*>(mutex);
            if (rw_mutex->GetExclusiveOwnerTid() == static_cast<uint64_t>(tid)) {
              os << "(exclusive held)";
            } else {
              os << "(shared held)";
            }
          }
        }
      }
    }
    os << "\n";
  }
}

3.6.2 DumpKernelStack

[-> art/runtime/utils.cc]

//前缀prefix= “kernel:” 
void DumpKernelStack(std::ostream& os, pid_t tid, const char* prefix, bool include_count) {
  if (tid == GetTid()) {
    return;
  }

  //内核栈是通过读取节点/proc/self/task/[tid]/stack
  std::string kernel_stack_filename(StringPrintf("/proc/self/task/%d/stack", tid));
  std::string kernel_stack;
  if (!ReadFileToString(kernel_stack_filename, &kernel_stack)) {
    os << prefix << "(couldn't read " << kernel_stack_filename << ")\n";
    return;
  }

  std::vector<std::string> kernel_stack_frames;
  Split(kernel_stack, '\n', &kernel_stack_frames);

  kernel_stack_frames.pop_back();
  for (size_t i = 0; i < kernel_stack_frames.size(); ++i) {

    const char* text = kernel_stack_frames[i].c_str();
    const char* close_bracket = strchr(text, ']');
    if (close_bracket != nullptr) {
      text = close_bracket + 2;
    }
    os << prefix;
    if (include_count) {
      os << StringPrintf("#%02zd ", i);
    }
    os << text << "\n";
  }
}

内核栈是通过读取节点/proc/self/task/[tid]/stack

3.7 Output

[-> signal_catcher.cc]

void SignalCatcher::Output(const std::string& s) {
  if (stack_trace_file_.empty()) {
    LOG(INFO) << s;
    return;
  }

  ScopedThreadStateChange tsc(Thread::Current(), kWaitingForSignalCatcherOutput);
  // 以追加的方式输出文件
  int fd = open(stack_trace_file_.c_str(), O_APPEND | O_CREAT | O_WRONLY, 0666);
  if (fd == -1) {
    PLOG(ERROR) << "Unable to open stack trace file '" << stack_trace_file_ << "'";
    return;
  }
  std::unique_ptr<File> file(new File(fd, stack_trace_file_, true));
  bool success = file->WriteFully(s.data(), s.size());
  if (success) {
    success = file->FlushCloseOrErase() == 0;
  } else {
    file->Erase();
  }
  if (success) {
    // 输出该log, 则代表traces信息已完整的输出到文件
    LOG(INFO) << "Wrote stack traces to '" << stack_trace_file_ << "'";
  } else {
    PLOG(ERROR) << "Failed to write stack traces to '" << stack_trace_file_ << "'";
  }
}

[小节2.2]执行完DumpForSigQuit()后,便会执行SignalCatcher::Output()方法. 将前面所有生成的信息一并输出到文件/data/anr/traces.txt.


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