|Title:||Retry system calls failing with EINTR|
|Author:||Charles-François Natali <cf.natali at gmail.com>, Victor Stinner <victor.stinner at gmail.com>|
|BDFL-Delegate:||Antoine Pitrou < email@example.com >|
- Backward compatibility
System call wrappers provided in the standard library should be retried automatically when they fail with EINTR , to relieve application code from the burden of doing so.
By system calls, we mean the functions exposed by the standard C library pertaining to I/O or handling of other system resources.
On POSIX systems, signals are common. Code calling system calls must be prepared to handle them. Examples of signals:
- The most common signal is SIGINT , the signal sent when CTRL+c is pressed. By default, Python raises a KeyboardInterrupt exception when this signal is received.
- When running subprocesses, the SIGCHLD signal is sent when a child process exits.
- Resizing the terminal sends the SIGWINCH signal to the applications running in the terminal.
- Putting the application in background (ex: press CTRL-z and then type the bg command) sends the SIGCONT signal.
Writing a C signal handler is difficult: only "async-signal-safe" functions can be called (for example, printf() and malloc() are not async-signal safe), and there are issues with reentrancy. Therefore, when a signal is received by a process during the execution of a system call, the system call can fail with the EINTR error to give the program an opportunity to handle the signal without the restriction on signal-safe functions.
This behaviour is system-dependent: on certain systems, using the SA_RESTART flag, some system calls are retried automatically instead of failing with EINTR . Regardless, Python's signal.signal() function clears the SA_RESTART flag when setting the signal handler: all system calls will probably fail with EINTR in Python.
Since receiving a signal is a non-exceptional occurrence, robust POSIX code must be prepared to handle EINTR (which, in most cases, means retry in a loop in the hope that the call eventually succeeds). Without special support from Python, this can make application code much more verbose than it needs to be.
In Python 3.4, handling the InterruptedError exception ( EINTR 's dedicated exception class) is duplicated at every call site on a case by case basis. Only a few Python modules actually handle this exception, and fixes usually took several years to cover a whole module. Example of code retrying file.read() on InterruptedError :
while True: try: data = file.read(size) break except InterruptedError: continue
List of Python modules in the standard library which handle InterruptedError :
- io , _pyio
Other programming languages like Perl, Java and Go retry system calls failing with EINTR at a lower level, so that libraries and applications needn't bother.
In most cases, you don't want to be interrupted by signals and you don't expect to get InterruptedError exceptions. For example, do you really want to write such complex code for a "Hello World" example?
while True: try: print("Hello World") break except InterruptedError: continue
InterruptedError can happen in unexpected places. For example, os.close() and FileIO.close() may raise InterruptedError : see the article close() and EINTR .
The Python issues related to EINTR section below gives examples of bugs caused by EINTR .
The expectation in this use case is that Python hides the InterruptedError and retries system calls automatically.
Sometimes yet, you expect some signals and you want to handle them as soon as possible. For example, you may want to immediately quit a program using the CTRL+c keyboard shortcut.
Besides, some signals are not interesting and should not disrupt the application. There are two options to interrupt an application on only some signals:
- Set up a custom signal signal handler which raises an exception, such as KeyboardInterrupt for SIGINT .
- Use a I/O multiplexing function like select() together with Python's signal wakeup file descriptor: see the function signal.set_wakeup_fd() .
The expectation in this use case is for the Python signal handler to be executed timely, and the system call to fail if the handler raised an exception -- otherwise restart.
This PEP proposes to handle EINTR and retries at the lowest level, i.e. in the wrappers provided by the stdlib (as opposed to higher-level libraries and applications).
Specifically, when a system call fails with EINTR , its Python wrapper must call the given signal handler (using PyErr_CheckSignals() ). If the signal handler raises an exception, the Python wrapper bails out and fails with the exception.
If the signal handler returns successfully, the Python wrapper retries the system call automatically. If the system call involves a timeout parameter, the timeout is recomputed.
Example of standard library functions that need to be modified to comply with this PEP:
- open() , os.open()
- os.read() , io.FileIO.read() , io.FileIO.readinto()
- os.write() , io.FileIO.write()
- socket.recv() , socket.recv_into()
- selectors.SelectSelector.select() and other selector classes
(note: the selector module already retries on InterruptedError , but it doesn't recompute the timeout yet)
os.close and close() methods are a special case: they will ignore EINTR instead of retrying. The reason is complex but involves behaviour under Linux and the fact that the file descriptor may really be closed even if EINTR is returned. See articles:
Since interrupted system calls are automatically retried, the InterruptedError exception should not occur anymore when calling those system calls. Therefore, manual handling of InterruptedError as described in Status in Python 3.4 can be removed, which will simplify standard library code.
Applications relying on the fact that system calls are interrupted with InterruptedError will hang. The authors of this PEP don't think that such applications exist, since they would be exposed to other issues such as race conditions (there is an opportunity for deadlock if the signal comes before the system call). Besides, such code would be non-portable.
In any case, those applications must be fixed to handle signals differently, to have a reliable behaviour on all platforms and all Python versions. A possible strategy is to set up a signal handler raising a well-defined exception, or use a wakeup file descriptor.
For applications using event loops, signal.set_wakeup_fd() is the recommanded option to handle signals. Python's low-level signal handler will write signal numbers into the file descriptor and the event loop will be awaken to read them. The event loop can handle those signals without the restriction of signal handlers (for example, the loop can be woken up in any thread, not just the main thread).
Since Python 3.3, signal.set_wakeup_fd() writes the signal number into the file descriptor, whereas it only wrote a null byte before. It becomes possible to distinguish between signals using the wakeup file descriptor.
Linux has a signalfd() system call which provides more information on each signal. For example, it's possible to know the pid and uid who sent the signal. This function is not exposed in Python yet (see issue 12304 ).
On Unix, the asyncio module uses the wakeup file descriptor to wake up its event loop.
A C signal handler can be called from any thread, but Python signal handlers will always be called in the main Python thread.
Python's C API provides the PyErr_SetInterrupt() function which calls the SIGINT signal handler in order to interrupt the main Python thread.
Windows uses "control events":
- CTRL_BREAK_EVENT : Break ( SIGBREAK )
- CTRL_CLOSE_EVENT : Close event
- CTRL_C_EVENT : CTRL+C ( SIGINT )
- CTRL_LOGOFF_EVENT : Logoff
- CTRL_SHUTDOWN_EVENT : Shutdown
The SetConsoleCtrlHandler() function can be used to install a control handler.
The CTRL_C_EVENT and CTRL_BREAK_EVENT events can be sent to a process using the GenerateConsoleCtrlEvent() function . This function is exposed in Python as os.kill() .
The following signals are supported on Windows:
- SIGBREAK ( CTRL_BREAK_EVENT ): signal only available on Windows
- SIGINT ( CTRL_C_EVENT )
The default Python signal handler for SIGINT sets a Windows event object: sigint_event .
time.sleep() is implemented with WaitForSingleObjectEx() , it waits for the sigint_event object using time.sleep() parameter as the timeout. So the sleep can be interrupted by SIGINT .
_winapi.WaitForMultipleObjects() automatically adds sigint_event to the list of watched handles, so it can also be interrupted.
PyOS_StdioReadline() also used sigint_event when fgets() failed to check if Ctrl-C or Ctrl-Z was pressed.
This document has been placed in the public domain.