python GIL (Global Interpreter Lock) is an important mechanism in Python, which limits the same There can only be one thread executing Python bytecode at a time. This is mainly to ensure the stability of the Python interpreter, because Python's memory management and garbage collection mechanisms are single-threaded. If multiple threads are allowed to execute Python bytecode at the same time, it is possible to cause memory corruption or other unpredictable errors.
The principle of GIL is relatively simple. It is a lock maintained by the Python interpreter, and when a thread executes Python bytecode, it acquires the GIL. If other threads want to execute Python bytecode, they must wait for the GIL to be released. When the GIL is released, other threads can obtain the GIL and execute Python bytecode.The existence of GIL has a great impact on Python's
multithreading performance. Due to GIL limitations, only one thread can execute Python bytecode at the same time, so the advantages of multi-core CPUs cannot be fully utilized. Especially when there are a large number of I/O operations in Python code, since I/O operations usually block the process, causing the GIL to be released, other threads can execute Python bytecode, so the performance improvement of multi-threading will be obvious.
In order to overcome the limitations of GIL, the following methods can be used:
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