The example creates a task which allocates random amount of memory and frees it and another task that allocates random amount of memory but never frees it.
The main then goes into a loop calling functions retrieving statistics for the "no leak" task, the "leaking" tasks and all tasks and printing them.
For each tasks, the following information is retrieved and printed:
- the task name
- the task status (running or deleted)
- the overall peak memory usage of the task
- the overall current memory usage of the task
For each heap used by a given task, the following information is printed:
- the heap name
- the heap caps
- the heap size
- the heap current memory usage by the task
- the heap peak memory usage by the task
- the number of blocks currently allocated in the heap by the task
For each block of memory allocated in a given heap by a given task, the following information is printed:
- the allocation address
- the allocation size
Because the heap task tracking feature requires additional metadata to be allocated for each memory allocations, the overall heap usage of the application is
greater than when the feature is disabled. For this reason, it is highly recommended to use the task tracking for debugging purpose only.
### Configure the project
- Enable thee option `Enable heap task tracking` by opening the project configuration menu (`idf.py menuconfig`) and navigate to `Component config -> Heap memory debugging` menu.
- (optional) Enable the option `Keep information about the memory usage on deleted tasks` if you wish to keep track of the information of a task after it has been deleted.
### Build and Flash
Run `idf.py -p PORT flash monitor` to build and flash the project..
(To exit the serial monitor, type ``Ctrl-]``.)
See the [Getting Started Guide](https://docs.espressif.com/projects/esp-idf/en/latest/get-started/index.html) for full steps to configure and use ESP-IDF to build projects.
