[fenomas]

Thanks, this view looks really interesting and I hadn't looked at it deeply.

With that said, do you have any advice on how to use it in practice? Timeline profiles tell me my app goes through maybe 5MB of heap per second, but when I use this feature for say, 5 seconds, it tends to report 2-3 functions as having allocated 16kb each. (And if I run it again, I get similar results but with a different 2-3 functions.) Is it just reporting a very small subset of allocations?

[ofrobots]

This profiler is sampling based. It takes a sample once every 512KiB allocated (on average, randomized) and reports all the allocations still alive at the end of the interval. So, yes it reports the subset of allocations that are sampled and are 'leaking' from the interval. In that sense it is better at finding memory leaks.

If you want to look at all the allocations during the interval, then you can use the 'Allocation timeline' profile – this will give you all the allocations but note that this might have significant overhead.

[fenomas]

Thanks for the info. Is there a way to get the Allocation timeline to report about all allocations though? It seems to only report objects that are uncollected (that show up as blue in the timeline). That's useful for finding true leaks, but in my case (trying to fix a sawtooth pattern of heap usage), stuff that was allocated and then quickly GC'ed is exactly what I want to know about. Or am I looking in the wrong place?