I am developing a PyQt desktop application, on Linux, to be used in an industrial setting. It is basically a sensor data logger which displays real time graph and saves the data into a database. As it must run continuously 5 x 24 hours per week, I need to make sure there is no memory leak for it to run smoothly.
So, what is the best way to detect memory leaks in my application?
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Answer
Memory Profiling Using tracemalloc
tracemallocis a package included in the Python standard library.It provides detailed, block-level traces of memory allocation, including the full traceback to the line where the memory allocation occurred, and statistics for the overall memory behavior of a program.
tracemalloc can be used to locate high-memory-usage areas of code in two ways:
- looking at cumulative statistics on memory use to identify which object allocations are using the most memory, and
- tracing execution frames to identify where those objects are allocated in the code.
A link for the documentation and PEP are below. Both provide excellent instructions on how to detect anomalies in Pythons memory management.