在Android中使用Firebase时出现内存不足错误

Question

我实现了firebasegoogle（com.google.firebase:firebaseauth:9.0.2），但是当我调用

FirebaseAuth mFirebaseAuth = FirebaseAuth.getInstance();

我收到一条消息，内存不足。我是初学者，我不知道原因。如何解决这个问题？这是日志：

>1.424 4944-4944/com.bsp.androidtraining E/art: Throwing OutOfMemoryError "Failed to allocate a 162 byte allocation with 12 free bytes and 12B until OOM" (recursive case)
06-10 02:03:51.454 4944-4944/com.bsp.androidtraining E/art: "main" prio=5 tid=1 Runnable
06-10 02:03:51.454 4944-4944/com.bsp.androidtraining E/art:   | group="main" sCount=0 dsCount=0 obj=0x7493a000 self=0xb4827800
06-10 02:03:51.454 4944-4944/com.bsp.androidtraining E/art:   | sysTid=4944 nice=-11 cgrp=default sched=0/0 handle=0xb6f35bec
06-10 02:03:51.454 4944-4944/com.bsp.androidtraining E/art:   | state=R schedstat=( 0 0 0 ) utm=898 stm=49 core=1 HZ=100
06-10 02:03:51.454 4944-4944/com.bsp.androidtraining E/art:   | stack=0xbe7e8000-0xbe7ea000 stackSize=8MB
06-10 02:03:51.454 4944-4944/com.bsp.androidtraining E/art:   | held mutexes= "mutator lock"(shared held)
06-10 02:03:51.454 4944-4944/com.bsp.androidtraining E/art:   native: #00 pc 00004e64  /system/lib/libbacktrace_libc++.so (UnwindCurrent::Unwind(unsigned int, ucontext*)+23)
06-10 02:03:51.454 4944-4944/com.bsp.androidtraining E/art:   native: #01 pc 00003665  /system/lib/libbacktrace_libc++.so (Backtrace::Unwind(unsigned int, ucontext*)+8)
06-10 02:03:51.454 4944-4944/com.bsp.androidtraining E/art:   native: #02 pc 00244159  /system/lib/libart.so (art::DumpNativeStack(std::__1::basic_ostream<char, std::__1::char_traits<char> >&, int, char const*, art::mirror::ArtMethod*)+68)
06-10 02:03:51.454 4944-4944/com.bsp.androidtraining E/art:   native: #03 pc 00227059  /system/lib/libart.so (art::Thread::DumpStack(std::__1::basic_ostream<char, std::__1::char_traits<char> >&) const+140)
06-10 02:03:51.454 4944-4944/com.bsp.androidtraining E/art:   native: #04 pc 0022a31b  /system/lib/libart.so (art::Thread::ThrowOutOfMemoryError(char const*)+254)

java.lang.OutOfMemoryError: OutOfMemoryError thrown while trying to throw OutOfMemoryError; no stack available                                                                    

Answer 1

如果在清单中设置了 android：largeHeap=“true” 文件，则内存不足错误通常会消失.xml - 但在大多数情况下，应注意确保不会在内存中不必要地加载大量数据。例如，请在此处查看这篇密切相关的文章中的讨论。

但是，在你的情况下，我认为你可以在清单.xml文件中设置android：大堆=“真”。这应该会有所帮助。