Shared file logging between threads in C++ 11 [duplicate] - c++

Question

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Is cout synchronized/thread-safe?
(4 answers)
Closed 5 years ago.
Recently I started learning C++ 11. I only studied C/C++ for a brief period of time when I was in college.I come from another ecosystem (web development) so as you can imagine I'm relatively new into C++.
At the moment I'm studying threads and how could accomplish logging from multiple threads with a single writer (file handle). So I wrote the following code based on tutorials and reading various articles.
My First question and request would be to point out any bad practices / mistakes that I have overlooked (although the code works with VC 2015).
Secondly and this is what is my main concern is that I'm not closing the file handle, and I'm not sure If that causes any issues. If it does when and how would be the most appropriate way to close it?
Lastly and correct me if I'm wrong I don't want to "pause" a thread while another thread is writing. I'm writing line by line each time. Is there any case that the output messes up at some point?
Thank you very much for your time, bellow is the source (currently for learning purposes everything is inside main.cpp).
#include <iostream>
#include <fstream>
#include <thread>
#include <string>
static const int THREADS_NUM = 8;
class Logger
{
public:
Logger(const std::string &path) : filePath(path)
{
this->logFile.open(this->filePath);
}
void write(const std::string &data)
{
this->logFile << data;
}
private:
std::ofstream logFile;
std::string filePath;
};
void spawnThread(int tid, std::shared_ptr<Logger> &logger)
{
std::cout << "Thread " + std::to_string(tid) + " started" << std::endl;
logger->write("Thread " + std::to_string(tid) + " was here!\n");
};
int main()
{
std::cout << "Master started" << std::endl;
std::thread threadPool[THREADS_NUM];
auto logger = std::make_shared<Logger>("test.log");
for (int i = 0; i < THREADS_NUM; ++i)
{
threadPool[i] = std::thread(spawnThread, i, logger);
threadPool[i].join();
}
return 0;
}
PS1: In this scenario there will always be only 1 file handle open for threads to log data.
PS2: The file handle ideally should close right before the program exits... Should it be done in Logger destructor?
UPDATE
The current output with 1000 threads is the following:
Thread 0 was here!
Thread 1 was here!
Thread 2 was here!
Thread 3 was here!
.
.
.
.
Thread 995 was here!
Thread 996 was here!
Thread 997 was here!
Thread 998 was here!
Thread 999 was here!
I don't see any garbage so far...

Answer 1

My First question and request would be to point out any bad practices / mistakes that I have overlooked (although the code works with VC 2015).
Subjective, but the code looks fine to me. Although you are not synchronizing threads (some std::mutex in logger would do the trick).
Also note that this:
std::thread threadPool[THREADS_NUM];
auto logger = std::make_shared<Logger>("test.log");
for (int i = 0; i < THREADS_NUM; ++i)
{
threadPool[i] = std::thread(spawnThread, i, logger);
threadPool[i].join();
}
is pointless. You create a thread, join it and then create a new one. I think this is what you are looking for:
std::vector<std::thread> threadPool;
auto logger = std::make_shared<Logger>("test.log");
// create all threads
for (int i = 0; i < THREADS_NUM; ++i)
threadPool.emplace_back(spawnThread, i, logger);
// after all are created join them
for (auto& th: threadPool)
th.join();
Now you create all threads and then wait for all of them. Not one by one.
Secondly and this is what is my main concern is that I'm not closing the file handle, and I'm not sure If that causes any issues. If it does when and how would be the most appropriate way to close it?
And when do you want to close it? After each write? That would be a redundant OS work with no real benefit. The file is supposed to be open through entire program's lifetime. Therefore there is no reason to close it manually at all. With graceful exit std::ofstream will call its destructor that closes the file. On non-graceful exit the os will close all remaining handles anyway.
Flushing a file's buffer (possibly after each write?) would be helpful though.
Lastly and correct me if I'm wrong I don't want to "pause" a thread while another thread is writing. I'm writing line by line each time. Is there any case that the output messes up at some point?
Yes, of course. You are not synchronizing writes to the file, the output might be garbage. You can actually easily check it yourself: spawn 10000 threads and run the code. It's very likely you will get a corrupted file.
There are many different synchronization mechanisms. But all of them are either lock-free or lock-based (or possibly a mix). Anyway a simple std::mutex (basic lock-based synchronization) in the logger class should be fine.

Answer 2

The first massive mistake is saying "it works with MSVC, I see no garbage", even moreso as it only works because your test code is broken (well it's not broken, but it's not concurrent, so of course it works fine).
But even if the code was concurrent, saying "I don't see anything wrong" is a terrible mistake. Multithreaded code is never correct unless you see something wrong, it is incorrect unless proven correct.
The goal of not blocking ("pausing") one thread while another is writing is unachieveable if you want correctness, at least if they concurrently write to the same descriptor. You must synchronize properly (call it any way you like, and use any method you like), or the behavior will be incorrect. Or worse, it will look correct for as long as you look at it, and it will behave wrong six months later when your most important customer uses it for a multi-million dollar project.
Under some operating systems, you can "cheat" and get away without synchronization as these offer syscalls that have atomicity guarantees (e.g. writev). That is however not what you may think, it is indeed heavyweight synchronization, only just you don't see it.
A better (more efficient) strategy than to use a mutex or use atomic writes might be to have a single consumer thread which writes to disk, and to push log tasks onto a concurrent queue from how many producer threads you like. This has minimum latency for threads that you don't want to block, and blocking where you don't care. Plus, you can coalesce several small writes into one.
Closing or not closing a file seems like a non-issue. After all, when the program exits, files are closed anyway. Well yes, except, there are three layers of caching (four actually if you count the physical disk's caches), two of them within your application and one within the operating system.
When data has made it at least into the OS buffers, all is good unless power fails unexpectedly. Not so for the other two levels of cache!
If your process dies unexpectedly, its memory will be released, which includes anything cached within iostream and anything cached within the CRT. So if you need any amount of reliability, you will either have to flush regularly (which is expensive), or use a different strategy. File mappying may be such a strategy because whatever you copy into the mapping is automatically (by definition) within the operating system's buffers, and unless power fails or the computer explodes, it will be written to disk.
That being said, there exist dozens of free and readily available logging libraries (such as e.g. spdlog) which do the job very well. There's really not much of a reason to reinvent this particular wheel.

Answer 3

Hello and welcome to the community!
A few comments on the code, and a few general tips on top of that.
Don't use native arrays if you do not absolutely have to.
Eliminating the native std::thread[] array and replacing it with an std::array would allow you to do a range based for loop which is the preferred way of iterating over things in C++. An std::vector would also work since you have to generate the thredas (which you can do with std::generate in combination with std::back_inserter)
Don't use smart pointers if you do not have specific memory management requirements, in this case a reference to a stack allocated logger would be fine (the logger would probably live for the duration of the program anyway, hence no need for explicit memory management). In C++ you try to use the stack as much as possible, dynamic memory allocation is slow in many ways and shared pointers introduce overhead (unique pointers are zero cost abstractions).
The join in the for loop is probably not what you want, it will wait for the previously spawned thread and spawn another one after it is finished. If you want parallelism you need another for loop for the joins, but the preferred way would be to use std::for_each(begin(pool), end(pool), [](auto& thread) { thread.join(); }) or something similar.
Use the C++ Core Guidelines and a recent C++ standard (C++17 is the current), C++11 is old and you probably want to learn the modern stuff instead of learning how to write legacy code. http://isocpp.github.io/CppCoreGuidelines/CppCoreGuidelines
C++ is not java, use the stack as much as possible - this is one of the biggest advantages to using C++. Make sure you understand how the stack, constructors and destructors work by heart.

Answer 4

The first question is subjective so someone else would want to give an advice, but I don't see anything awful.
Nothing in C++ standard library is thread-safe except for some rare cases. A good answer on using ofstream in a multithreaded environment is given here.
Not closing a file is indeed an issue. You have to get familiar with RAII as it is one of the first things to learn. The answer by Detonar is a good piece of advice.