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Posted to dev@brpc.apache.org by GitBox <gi...@apache.org> on 2020/06/14 07:49:38 UTC

[GitHub] [incubator-brpc] kof02guy opened a new issue #1136: rq满导致的死锁问题求解决方法

kof02guy opened a new issue #1136:
URL: https://github.com/apache/incubator-brpc/issues/1136


   我们用braft+brpc来做强一致性解决方案,目前在压力大持续时间长时,会导致死锁,通过gdb可以直接bt看到的栈分为两类。
   1在等2中的锁,而2在执行过程中拿了1所需要的锁,在试图往rq中push时由于_rq是满的会失败然后usleep。而_rq里的task pop出来执行很可能也是log_manager的相关操作,也需要拿同一把锁。这样就形成了循环,死锁
   我理解的思路有:
   1 是否有可能在_rq满时不再继续usleep等待入queue,而是直接执行?
   2 是否有可能通过某种方法在queue满时通知用户进行处理?
   
   1.
   `#0  0x00007f9edd212334 in __lll_lock_wait () from /lib64/libpthread.so.0
   #1  0x00007f9edd20d5d8 in _L_lock_854 () from /lib64/libpthread.so.0
   #2  0x00007f9edd20d4a7 in pthread_mutex_lock () from /lib64/libpthread.so.0
   #3  0x0000000000df637b in pthread_mutex_lock_impl (__mutex=0x7f89f75ff4e8) at xxx/deps/incubator-brpc/src/bthread/mutex.cpp:555
   #4  pthread_mutex_lock (__mutex=0x7f89f75ff4e8) at xxx/deps/incubator-brpc/src/bthread/mutex.cpp:813
   #5  0x0000000000d14ca0 in lock (this=0x7f89f75ff4b0, index=14541) at /usr/include/butil/synchronization/lock.h:69
   #6  lock (this=0x7f89f75ff4b0, index=14541) at /usr/include/c++/4.9.2/mutex:474
   #7  unique_lock (this=0x7f89f75ff4b0, index=14541) at /usr/include/c++/4.9.2/mutex:406
   #8  braft::LogManager::get_term (this=0x7f89f75ff4b0, index=14541) at xxx/src/braft/log_manager.cpp:787
   #9  0x0000000000d2ad2d in braft::Replicator::_fill_common_fields (this=0x7f86cc92c460, request=0x7f86a8f9d360, prev_log_index=14541, is_heartbeat=Unhandled dwarf expression opcode 0xf3
   ) at xxx/src/braft/replicator.cpp:496
   #10 0x0000000000d3063c in braft::Replicator::_send_entries (this=0x7f86cc92c460) at xxx/src/braft/replicator.cpp:611
   #11 0x0000000000d326bf in braft::Replicator::_on_rpc_returned (id=Unhandled dwarf expression opcode 0xf3
   ) at xxx/src/braft/replicator.cpp:489
   #12 0x0000000000d33b36 in brpc::internal::FunctionClosure5<unsigned long, brpc::Controller*, braft::AppendEntriesRequest*, braft::AppendEntriesResponse*, long>::Run (this=0x7f86d16ad950) at /usr/include/brpc/callback.h:339
   #13 0x0000000000e03ef8 in brpc::Controller::EndRPC (this=0x7f86d16ad5d0, info=Unhandled dwarf expression opcode 0xf3
   ) at xxx/deps/incubator-brpc/src/brpc/controller.cpp:893
   #14 0x0000000000e05bc4 in brpc::Controller::OnVersionedRPCReturned (this=0x7f86d16ad5d0, info=..., new_bthread=Unhandled dwarf expression opcode 0xf3
   ) at xxx/deps/incubator-brpc/src/brpc/controller.cpp:676
   #15 0x0000000000e6de9a in OnResponse (msg_base=0x7f897544b140) at xxx/deps/incubator-brpc/src/brpc/details/controller_private_accessor.h:48
   #16 brpc::policy::ProcessRpcResponse (msg_base=0x7f897544b140) at xxx/deps/incubator-brpc/src/brpc/policy/baidu_rpc_protocol.cpp:618 
   #17 0x0000000000e5b9fa in brpc::ProcessInputMessage (void_arg=Unhandled dwarf expression opcode 0xf3
   ) at xxx/deps/incubator-brpc/src/brpc/input_messenger.cpp:136
   #18 0x0000000000decee1 in bthread::TaskGroup::task_runner (skip_remained=Unhandled dwarf expression opcode 0xf3
   ) at xxx/deps/incubator-brpc/src/bthread/task_group.cpp:297
   #19 0x0000000000e3d5b1 in bthread_make_fcontext ()
   #20 0x0000000000000000 in ?? ()`
   
   2.
   `#0  0x00007f9edb9c1cbd in nanosleep () from /lib64/libc.so.6
   #1  0x00007f9edb9f6f14 in usleep () from /lib64/libc.so.6
   #2  0x0000000000deb891 in bthread::TaskGroup::ready_to_run_remote (this=0x7f8b6c0008c0, tid=142391050791690, nosignal=Unhandled dwarf expression opcode 0xf3
   ) at xxx/deps/incubator-brpc/src/bthread/task_group.cpp:675
   #3  0x0000000000dee52a in bthread::TaskGroup::start_background<true> (this=Unhandled dwarf expression opcode 0xf3
   ) at xxx/deps/incubator-brpc/src/bthread/task_group.cpp:448
   #4  0x0000000000df4d6c in start_from_non_worker (tid=0x7f8aed7e9800, attr=0x7f89f7582988, fn=0xddcbd0 <bthread::ExecutionQueueBase::_execute_tasks(void*)>, arg=0x7f8511942ef0)
       at xxx/deps/incubator-brpc/src/bthread/bthread.cpp:146
   #5  bthread_start_background (tid=0x7f8aed7e9800, attr=0x7f89f7582988, fn=0xddcbd0 <bthread::ExecutionQueueBase::_execute_tasks(void*)>, arg=0x7f8511942ef0)
       at xxx/deps/incubator-brpc/src/bthread/bthread.cpp:194
   #6  0x0000000000dddb97 in bthread::ExecutionQueueBase::start_execute (this=0x7f89f75828d0, node=0x7f8511942ef0) at xxx/deps/incubator-brpc/src/bthread/execution_queue.cpp:115
   #7  0x0000000000d1a898 in execute (id=<value optimized out>, task=@0x7f8aed7e98d8, options=0x0, handle=0x0) at /usr/include/bthread/execution_queue_inl.h:318
   #8  bthread::execution_queue_execute<braft::LogManager::StableClosure*> (id=<value optimized out>, task=@0x7f8aed7e98d8, options=0x0, handle=0x0) at /usr/include/bthread/execution_queue_inl.h:363
   #9  0x0000000000d16251 in execution_queue_execute<braft::LogManager::StableClosure*> (this=0x7f89f75ff4b0, entries=0x7f8aed7e9a70, done=0x7f84d06daa00) at /usr/include/bthread/execution_queue_inl.h:352
   #10 execution_queue_execute<braft::LogManager::StableClosure*> (this=0x7f89f75ff4b0, entries=0x7f8aed7e9a70, done=0x7f84d06daa00) at /usr/include/bthread/execution_queue_inl.h:345
   #11 braft::LogManager::append_entries (this=0x7f89f75ff4b0, entries=0x7f8aed7e9a70, done=0x7f84d06daa00) at xxx/src/braft/log_manager.cpp:485
   #12 0x0000000000cf3821 in braft::NodeImpl::apply (this=0x7f89f75feb50, tasks=Unhandled dwarf expression opcode 0xf3
   ) at xxx/src/braft/node.cpp:1959
   #13 0x0000000000cf3b1e in braft::NodeImpl::execute_applying_tasks (meta=0x7f89f75feb50, iter=...) at xxx/src/braft/node.cpp:724
   #14 0x0000000000dda82d in bthread::ExecutionQueueBase::_execute (this=0x7f89f75827d0, head=0x7f8572168a90, high_priority=Unhandled dwarf expression opcode 0xf3
   ) at xxx/deps/incubator-brpc/src/bthread/execution_queue.cpp:273
   #15 0x0000000000dddc08 in bthread::ExecutionQueueBase::start_execute (this=0x7f89f75827d0, node=0x7f8572168a90) at xxx/deps/incubator-brpc/src/bthread/execution_queue.cpp:95
   #16 0x0000000000c3ba4c in cellar::raft::BucketStateMachine::AsyncApply (this=0x3efba20, op_type=Unhandled dwarf expression opcode 0xf3
   ) at bucket_state_machine.cpp:87
   ... 
   ...`
   
   通过gdb_bthread_stack.py拿到的bthread stack基本上(99%)都是:
   `#0  0x0000000000dea8a8 in jump_stack (pg=0x0, next_meta=0x5a7f77d934dc6) at xxx/deps/incubator-brpc/src/bthread/stack_inl.h:133
   #1  bthread::TaskGroup::sched_to (pg=0x0, next_meta=0x5a7f77d934dc6) at xxx/deps/incubator-brpc/src/bthread/task_group.cpp:605
   #2  0x0000000000deadce in sched_to (pg=0x7f894ebeba08) at xxx/deps/incubator-brpc/src/bthread/task_group_inl.h:80
   #3  bthread::TaskGroup::sched (pg=0x7f894ebeba08) at xxx/deps/incubator-brpc/src/bthread/task_group.cpp:563
   #4  0x0000000000de1cc7 in bthread::butex_wait (arg=0x7f87bceb60c0, expected_value=1, abstime=0x0) at xxx/deps/incubator-brpc/src/bthread/butex.cpp:660
   #5  0x0000000000de93a0 in bthread::CountdownEvent::wait (this=0x7f894ebebb48) at xxx/deps/incubator-brpc/src/bthread/countdown_event.cpp:65
   #6  0x0000000000d13991 in wait (this=Unhandled dwarf expression opcode 0xf3
   ) at xxx/src/braft/log_manager.cpp:164
   #7  braft::LogManager::last_log_id (this=Unhandled dwarf expression opcode 0xf3
   ) at xxx/src/braft/log_manager.cpp:201
   #8  0x0000000000cf1d7a in braft::NodeImpl::handle_pre_vote_request (this=0x7f89d42a3c30, request=0x7f87bc3c30a0, response=0x7f87bd29ef20) at xxx/src/braft/node.cpp:2027
   #9  0x0000000000d7d892 in braft::RaftServiceImpl::pre_vote (this=Unhandled dwarf expression opcode 0xf3
   ) at xxx/src/braft/raft_service.cpp:62
   #10 0x0000000000d67c6b in braft::RaftService::CallMethod (this=Unhandled dwarf expression opcode 0xf3
   ) at xxx/bld/braft/raft.pb.cc:5130
   #11 0x0000000000e70cab in brpc::policy::ProcessRpcRequest (msg_base=Unhandled dwarf expression opcode 0xf3
   ) at xxx/deps/incubator-brpc/src/brpc/policy/baidu_rpc_protocol.cpp:499
   #12 0x0000000000e5b9fa in brpc::ProcessInputMessage (void_arg=Unhandled dwarf expression opcode 0xf3
   ) at xxx/deps/incubator-brpc/src/brpc/input_messenger.cpp:136
   #13 0x0000000000decee1 in bthread::TaskGroup::task_runner (skip_remained=Unhandled dwarf expression opcode 0xf3
   ) at xxx/deps/incubator-brpc/src/bthread/task_group.cpp:297
   #14 0x0000000000e3d5b1 in bthread_make_fcontext ()
   #15 0x0000000000000000 in ?? ()`
   


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[GitHub] [incubator-brpc] kof02guy commented on issue #1136: rq满导致的死锁问题求解决方法

Posted by GitBox <gi...@apache.org>.
kof02guy commented on issue #1136:
URL: https://github.com/apache/incubator-brpc/issues/1136#issuecomment-650753019


   @jamesge 请教一下关于bthread stack的内存管理相关的问题。
   就这个问题,现在我们定位到了是由于触碰到了max_map_count,使得task被分配到了pthread上运行。这使得bthread worker线程都被占满(有可能这时候所有的worker都在等被换出的bthread拿到的锁),从而hung住
   因此问题的关注点到了bthread的stack count,我从bthread_stack_count这个指标观察,发现这个指标只增不减。在代码里发现,bthread stack会在调用allocate_stack_storage的时候增加,而在deallocate_stack_storage的时候减少,而bthread stack会被object pool来管理。
   所以我现在怀疑是object pool里存储了过多的bthread stack对象。这些对象其实已经没有相应实际运行的任务和其对应了,但是还是在object pool中,所以占用了很多的map_count。
   所以我想请教一下,这些object会在什么时候被真正释放呢?有什么参数或者方法可以对这些在free listi里的对象的个数进行调节,使其提早释放?


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[GitHub] [incubator-brpc] huntinux commented on issue #1136: rq满导致的死锁问题求解决方法

Posted by GitBox <gi...@apache.org>.
huntinux commented on issue #1136:
URL: https://github.com/apache/incubator-brpc/issues/1136#issuecomment-654058047


   > > @kof02guy 从 ObjectPool 中分配的对象所占用的内存是不会归还给系统的,如果到达最大值,再从里面分配,会返回null.
   > > 这个最大值从代码看目前不能调整, 是const 常量.
   > > ObjectPool 适用于分配比较固定大小的 ,且生命周期比较短暂的,分配完之后,可能过一会儿就归还给Pool的object。这样ObjectPool 保持一个动态平衡。在这样的场景下, 性能应该很高.
   > 
   > 有的场景下,可能系统存在一个很高的性能尖峰,在那个尖峰可能需要分配很多的资源。但是在大多数情况下,系统的压力都很低,那些在性能尖峰分配出来的资源如果不shrink的话,那么相当于是变相的资源浪费了
   
   如果性能尖峰是周期性的,拉长时间线来看,感觉也不算是资源浪费,因为这些资源会被下一个性能尖峰复用。


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[GitHub] [incubator-brpc] triump2020 commented on issue #1136: rq满导致的死锁问题求解决方法

Posted by GitBox <gi...@apache.org>.
triump2020 commented on issue #1136:
URL: https://github.com/apache/incubator-brpc/issues/1136#issuecomment-651244237


   @kof02guy 从 ObjectPool 中分配的对象所占用的内存是不会归还给系统的,如果到达最大值,再从里面分配,会返回null.
          这个最大值从代码看目前不能调整, 是const 常量.
         ObjectPool  适用于分配比较固定大小的 ,且生命周期比较短暂的,分配完之后,可能过一会儿就归还给Pool的object。这样ObjectPool 保持一个动态平衡。在这样的场景下, 性能应该很高.
    


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[GitHub] [incubator-brpc] kof02guy commented on issue #1136: rq满导致的死锁问题求解决方法

Posted by GitBox <gi...@apache.org>.
kof02guy commented on issue #1136:
URL: https://github.com/apache/incubator-brpc/issues/1136#issuecomment-654679871


   > > > @kof02guy 从 ObjectPool 中分配的对象所占用的内存是不会归还给系统的,如果到达最大值,再从里面分配,会返回null.
   > > > 这个最大值从代码看目前不能调整, 是const 常量.
   > > > ObjectPool 适用于分配比较固定大小的 ,且生命周期比较短暂的,分配完之后,可能过一会儿就归还给Pool的object。这样ObjectPool 保持一个动态平衡。在这样的场景下, 性能应该很高.
   > > 
   > > 
   > > 有的场景下,可能系统存在一个很高的性能尖峰,在那个尖峰可能需要分配很多的资源。但是在大多数情况下,系统的压力都很低,那些在性能尖峰分配出来的资源如果不shrink的话,那么相当于是变相的资源浪费了
   > 
   > 如果性能尖峰是周期性的,拉长时间线来看,感觉也不算是资源浪费,因为这些资源会被下一个性能尖峰复用。
   
   嗯其实类似这样的池类的实现基本上都会周期性地shrink,或者至少有接口或者参数让用户可以有些许控制权,例如golang里的内存管理。因为一方面不一定下一个尖峰会到来,另一方面整个机器上可能会有别的资源需求,如果都被hold在这里而不能有效利用的话,那其实不是很合理。


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[GitHub] [incubator-brpc] GOGOYAO commented on issue #1136: rq满导致的死锁问题求解决方法

Posted by GitBox <gi...@apache.org>.
GOGOYAO commented on issue #1136:
URL: https://github.com/apache/incubator-brpc/issues/1136#issuecomment-939914047


   同遇到这个问题,除了限速,就没法修复了?


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[GitHub] [incubator-brpc] jamesge commented on issue #1136: rq满导致的死锁问题求解决方法

Posted by GitBox <gi...@apache.org>.
jamesge commented on issue #1136:
URL: https://github.com/apache/incubator-brpc/issues/1136#issuecomment-643770988


   可以先尝试设置一下最大并发(-max_concurrency)以避免_rq被打满


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[GitHub] [incubator-brpc] triump2020 commented on issue #1136: rq满导致的死锁问题求解决方法

Posted by GitBox <gi...@apache.org>.
triump2020 commented on issue #1136:
URL: https://github.com/apache/incubator-brpc/issues/1136#issuecomment-654663190


   > > > @kof02guy 从 ObjectPool 中分配的对象所占用的内存是不会归还给系统的,如果到达最大值,再从里面分配,会返回null.
   > > > 这个最大值从代码看目前不能调整, 是const 常量.
   > > > ObjectPool 适用于分配比较固定大小的 ,且生命周期比较短暂的,分配完之后,可能过一会儿就归还给Pool的object。这样ObjectPool 保持一个动态平衡。在这样的场景下, 性能应该很高.
   > > 
   > > 
   > > 有的场景下,可能系统存在一个很高的性能尖峰,在那个尖峰可能需要分配很多的资源。但是在大多数情况下,系统的压力都很低,那些在性能尖峰分配出来的资源如果不shrink的话,那么相当于是变相的资源浪费了
   > 
   > 如果性能尖峰是周期性的,拉长时间线来看,感觉也不算是资源浪费,因为这些资源会被下一个性能尖峰复用。
   
   这就是资源浪费,现在没干活,干嘛要占用这么多资源。 这个对云是不友好的,没有弹性


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[GitHub] [incubator-brpc] triump2020 commented on issue #1136: rq满导致的死锁问题求解决方法

Posted by GitBox <gi...@apache.org>.
triump2020 commented on issue #1136:
URL: https://github.com/apache/incubator-brpc/issues/1136#issuecomment-651534879


   > > @kof02guy 从 ObjectPool 中分配的对象所占用的内存是不会归还给系统的,如果到达最大值,再从里面分配,会返回null.
   > > 这个最大值从代码看目前不能调整, 是const 常量.
   > > ObjectPool 适用于分配比较固定大小的 ,且生命周期比较短暂的,分配完之后,可能过一会儿就归还给Pool的object。这样ObjectPool 保持一个动态平衡。在这样的场景下, 性能应该很高.
   > 
   > 有的场景下,可能系统存在一个很高的性能尖峰,在那个尖峰可能需要分配很多的资源。但是在大多数情况下,系统的压力都很低,那些在性能尖峰分配出来的资源如果不shrink的话,那么相当于是变相的资源浪费了
   
   你说的场景下是这样的,确实会占用内存。  ObjectPool 当初这么设计可能就是追求性能,分配和释放都是O(1).   


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[GitHub] [incubator-brpc] kof02guy commented on issue #1136: rq满导致的死锁问题求解决方法

Posted by GitBox <gi...@apache.org>.
kof02guy commented on issue #1136:
URL: https://github.com/apache/incubator-brpc/issues/1136#issuecomment-651479910


   > @kof02guy 从 ObjectPool 中分配的对象所占用的内存是不会归还给系统的,如果到达最大值,再从里面分配,会返回null.
   > 这个最大值从代码看目前不能调整, 是const 常量.
   > ObjectPool 适用于分配比较固定大小的 ,且生命周期比较短暂的,分配完之后,可能过一会儿就归还给Pool的object。这样ObjectPool 保持一个动态平衡。在这样的场景下, 性能应该很高.
   
   有的场景下,可能系统存在一个很高的性能尖峰,在那个尖峰可能需要分配很多的资源。但是在大多数情况下,系统的压力都很低,那些在性能尖峰分配出来的资源如果不shrink的话,那么相当于是变相的资源浪费了


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[GitHub] [incubator-brpc] hiberabyss commented on issue #1136: rq满导致的死锁问题求解决方法

Posted by GitBox <gi...@apache.org>.
hiberabyss commented on issue #1136:
URL: https://github.com/apache/incubator-brpc/issues/1136#issuecomment-976441098


   同问这里有什么办法解决么


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