Collect garbage when the heap is full #2033

osa1 · 2020-10-08T14:23:48Z

Currently Motoko programs only do GC in these places:

In canister_init: first function invoked by the system after installing a canister
In post_upgrade: Invoked by the system after upgrading a canister
After responding to a message (but not if a message is a query? I don't understand this part)

In particular Motoko doesn't do GC if a single message the program fills the heap. Here's an example (run with run.sh -d):

import Prim "mo:prim";

actor a {

    class range(x : Nat, y : Int) {
        var i = x;
        public func next() : ?Nat { if (i > y) null else {let j = i; i += 1; ?j} };
    };

    public func allocate() : async () {
        // Allocate 4GiB of arrays, 4KiB each. This shouldn't fill up the heap
        // as the arrays are not used and could be collected.
        for (i in range(0, 1024 * 1024 * 4)) {
            let a = Prim.Array_init<Nat>(1024, 0); // 4 KiB
        }
    };

};

a.allocate(); //OR-CALL ingress allocate 0x4449444C0000

//SKIP run
//SKIP run-low
//SKIP run-ir
//SKIP ic-ref-run

allocate allocates 4GiB of 4KiB-large arrays but doesn't keep any of them alive, so ideally this program should not cause heap overflow.

(Btw, this program fails with "heap out of bounds", which seems weird. I'd expect it to fail with "heap overflow" or something like that.)

To fix this we need to at least do a GC when the heap is full [1], in alloc_words [2]. Later we may want to do GC more often, in different places, but we have to do a GC when the heap is full to avoid trapping, so I think it's fine to start with just doing a GC in alloc_words when the heap is full for now. Once this is implemented adding more GC points will also be easier.

The main difficulty is to pass roots to the GC at the GC site. As far as I understand we currently don't need this because a property of the current GC sites is that they don't have any roots in locals, stack, or globals, so the only roots are those in the static_roots array.

I think we currently don't store pointers in globals (as far as I can see globals are only used for multi-value returns), so we only need to refactor our use of function locals and the Wasm stack. Because Wasm doesn't provide a way to traverse the stack or function locals we can't use "stack maps" or anything like that that tells the GC locations of pointers in Wasm stack, locals, and globals. I think we have no choice other than maintaining our own stack, for roots. The idea is that at a GC point the stack will have all dynamic objects (other than those pointed by the static_roots array) that the GC needs to retain.

I'm not sure how to best implement this stack. Some notes:

At a function call, the caller needs to push all its pointers that may be used after the callee returns to the stack. (this can be avoided if callee is known to not allocate, but it's probably a good idea to not make this any more complicated for now and assume every function can potentially allocate).
When returning, the function needs to pop its pointers off the stack.
Caller, when the callee returns, needs to load locals from the root stack, assuming that the function call did a GC. (would not be necessary in a non-moving GC)
We can still use locals and Wasm stack for pointers, but we need to make sure to do (1), (2), (3). Alternatively we could stop using Wasm stack for pointers and only use the root stack.
The root stack needs to be extensible, which I think means it'll have to be heap allocated and should allow chaining.
Knowing which locals will be potentially used after a function call at a call site requires liveness analysis. Maybe for now we could assume all locals except those that are out of scope are live (I don't know if this will be useful enough in practice, but I suspect it might). For example, in the program above, we shouldn't assume a will be live after an iteration and we should pop this off the stack before jumping to the loop header.
The liveness analysis will have to insert remove instructions/expressions for variables after their last use in a function. For this I think we'll have to maintain something like stack frames in runtime, and in compile time we need to map locals to their locations in the function's frame. For example, if I have (in a function)
```
let a = ...;
let b = ...;
let c = ...;
use(a);
use(b);
use(c);
```
We want to convert this to:
```
let a = ...;
let b = ...;
let c = ...;
use(a);
kill(a);
use(b);
kill(b);
use(c);
kill(c); // alternatively just pop the function frame as this is the end of the function
```
The IR instruction/expression kill needs to know location of variables in the current frame.

Allocating frame locations for variables is a problem similar to register allocation. We could implement something like "linear scan", but we simply extend the call frame when there isn't an available slot.

This is all very complicated, but I don't see any other way.. Maybe others do? Is there an easier way? Do everyone agree that this (doing GC when the heap is full) something we need to implement?

Adding GC to Wasm spec makes more sense to me now...

CC @nomeata @crusso @rossberg @ggreif

[1]: Current GC only uses stack space so it's currently fine to do a GC when we reach the 4GiB limit.
[2]: All heap allocations go through alloc_words, which is implemented as a RTS function.

The text was updated successfully, but these errors were encountered:

kritzcreek · 2020-10-08T14:36:01Z

How would this interact with tail-calls? (When they actually get implemented in the Wasm engines). Would we also have to recognize tail-calls to not blow our custom stack?

osa1 · 2020-10-08T14:46:28Z

I think we just have to pop the current root stack frame off the stack since we won't be returning to it, unless I'm missing something..

EDIT: Missed the second part of the question, yeah if Wasm call instruction automatically becomes a tail call when possible we'll have to recognize tail calls to make sure to pop the current frame off the stack.

nomeata · 2020-10-08T14:58:58Z

After responding to a message (but not if a message is a query? I don't understand this part)

The system discards the caniser state after a query (that’s the point of a query – they should be called “non-committing methods or something”), so why bother cleaning up.

so we only need to refactor our use of function locals and the Wasm stack.

Correct, just like everything that follows, including, unfortunately

This is all very complicated, but I don't see any other way..

I have to agree. Maybe Andreas has a good idea.

One other way is to wait for the Wasm GC proposal to be accepted, and then fully rely on the host GC. Would amount to a almost complete rewrite of the backend. I doubt that we can use GC types on DFINITY soon enough, though.

Do everyone agree that this (doing GC when the heap is full) something we need to implement?

I don't know actually. If we have an upper limit of how much allocation we expect in reasonable programs within a single message execution (which is cycle-bounded!), this limit might be less than 2GB.

Also, GC after each message has the benefit that costs are paied by whoever incurred them. If you defer GC, then it might hit some random other message. Not a big problem as long as we have “canister pays”, but I woudn’t close the door to “user pays (fairly)”.

I think what is more pressing than the ability to run GC within messages is to have a non-moving GC, and maybe one where you pay for garbage, not for live data, so that running it at the end of each message is cheaper.

rossberg · 2020-10-09T06:18:54Z

Yes, a shadow stack in memory is unavoidable. But FWIW, even compiling C requires one.

For GC, as you say, there are two options: either spill (live) roots before calls, or always put reference-typed locals on the shadow stack (only). The latter seems much simpler, since you don't need to do anything around calls, and liveness analysis is much less crucial. It might be less efficient in cases where accesses to reference variables dominate the number of calls in a function, but you can easily construct opposite examples as well. So for a first version, I would avoid premature optimisation and go for the simpler solution.

I don't know how urgent all this is at the moment. We should build support for it mid-term, but it's certainly not a top priority for Mercury. For that, I would focus on lower-hanging fruit for GC, if there are any -- or on other things altogether.

As for Wasm GC, don't hold your breath. There has been a frustrating amount of stalling and distraction, and I have no idea anymore when this will actually become a thing. Also, we do not yet have an idea how to persist a Wasm-internal heap on our platform, so there are more technical challenges ahead before we would be able to use it. Hence, we shouldn't plan for using it for Motoko in the foreseeable future.

nomeata · 2020-10-09T08:24:20Z

For that, I would focus on lower-hanging fruit for GC, if there are any -- or on other things altogether.

Maybe this order:

Build infrastructure to know how much we are paying for GC (and other things).

My best bet here (i.e. what I’d do): Get the Wasm instrumentation code from dfinity, put it in a shared place, and then extend it so that it actually tracks cycle consumption per function.
Maybe even spit out data that can be turned into a flame graph (http://www.brendangregg.com/flamegraphs.html.
This does not need to be particular fast, a slow down of a factor is ok. And this would be super useful for our our optimization work, and for our users.
Switch to a non-copying GC. We are fairly ceratin that that is more pressing than switching to a inter-message GC, given that our platform will penalize dirtying pages.
Maybe (or maybe depending on a compiler flag) skip GC at the end of a message if the heap is not very full yet.
… dunno yet …

How does that sound? Ömer, do these (or one of these) step sounds interesting to you?

crusso · 2020-10-09T11:21:23Z

I think a shadow stack is unavoidable, either maintained directly or constructed on calls by spilling, but also don't think we need in message gc right now and it might be risky to do for mercury.

I guess the other question is whether there are some obvious improvement to make to what we have now.

For example I always thought it was dubious to copy to-space over from-space. Do we need to do that rather than just logically flip the roles? I recall Joachim has some argument why this is good, but I don't remember what it was.

Maybe there is some other low-hanging fruit. If we tracked arrays of scalars somehow, could we avoid scanning the array contents and just blit the array on evacuation?

Could we relax the 2GB restriction by using stable memory as our to-space?

crusso · 2020-10-09T11:38:44Z

And then there was that idea of avoiding gc when the root-set hasn't changed and there have been no writes to the heap reachable on entry, detected using a write barrier. But maybe that was a bad idea or not worth the effort.

Even simpler, do we currently avoid doing a gc if there was no allocation? I guess that might leave garbage around in case the heap was just modified, but not extended.

crusso · 2020-10-09T11:42:01Z

Regarding diagnostics, we now have primitives for measuring cycle consumption. Maybe we could just measure what proportion of cycles are spent on mutation vs gc.

nomeata · 2020-10-09T11:54:35Z

All good ideas. But I would not invest any more work into our copying GC. Switching to a non-copying is inevitable, isn’t it?

Regarding diagnostics, we now have primitives for measuring cycle consumption.

Do we? (I don’t think ic0.canister_balance will update as you go: Instead, before the message gets executed, some MAX_CYCLES_PER_MESSAGE are subtracted from the balance, the message is run, and afterwards whatever you didn't use is added again. At least that’s what I think is happening.)

osa1 · 2020-10-09T12:04:07Z

@nomeata

Also, GC after each message has the benefit that costs are paied by whoever incurred them. If you defer GC, then it might hit some random other message. Not a big problem as long as we have “canister pays”, but I woudn’t close the door to “user pays (fairly)”.

We can still do GC after each upgrade message, we don't have to do it only when the heap is full.

I think what is more pressing than the ability to run GC within messages is to have a non-moving GC, and maybe one where you pay for garbage, not for live data, so that running it at the end of each message is cheaper.

What kind of non-moving GC do you mean? A simple mark-sweep will still visit the entire heap: mark pass will visit live data, sweep pass will visit dead. In that sense current GC is better actually. I guess there could be more smart ideas that only visits garbage, but I'm not aware of any. I think there's no way around visiting live data (either for marking, or for copying).

osa1 · 2020-10-09T12:08:11Z

@rossberg

either spill (live) roots before calls, or always put reference-typed locals on the shadow stack (only). The latter seems much simpler, since you don't need to do anything around calls, and liveness analysis is much less crucial

I think liveness analysis is completely orthogonal to where/how we store references. For example, if as you say we always put references to the shadow stack and never to Wasm stack or locals, we'll still have to pop a from the shadow stack after the loop body, otherwise in the next iterations when the heap is full we won't be collecting previous, unused, as.

Why do you think how/where we store references requires more or less precise liveness analysis?

osa1 · 2020-10-09T12:24:36Z

(I wish Github had threads ...)

@nomeata

Switch to a non-copying GC. We are fairly ceratin that that is more pressing than switching to a inter-message GC, given that our platform will penalize dirtying pages.

I'm not so sure. The problem is a non-copying GC will require a memory manager, with its free lists for objects of various sizes. This will have its overheads. I never implemented a memory allocator from scratch myself, maybe the overheads are not too bad, but there's no escape from fragmentation in a non-copying GC. Btw, here's an example memory allocator in AssemblyScript. As far as I understand they use reference counting for GC.

Secondly, I asked about costs of dirtying pages in #public-spec a while ago, but there weren't clear answers. So it's not clear what the tradeoffs should be here. Perhaps people will decide that dirtying pages is not too important and the costs will be negligible? It seems like we currently have no idea.

I think it makes sense to invest time into stuff that will be necessary regardless of what kind of GC we'll need (more on this below). Your (1) is one of these things. The shadow stack stuff for dynamic roots is also one of these, regardless of what kind of GC we implement the GC will need to know the roots.

How does that sound? Ömer, do these (or one of these) step sounds interesting to you?

Yeah these all sound interesting to me.

@crusso

For example I always thought it was dubious to copy to-space over from-space. Do we need to do that rather than just logically flip the roles? I recall Joachim has some argument why this is good, but I don't remember what it was.

There's a very simple way of fixing this without making the RTS too much more complicated, the general idea is called in-place compaction, and I know how to do it because I maintained GHC's in-place compaction implementation (even fixed a ~19 years old bug in it!), but I'm unable to implement it simply because I'm unable to change object layouts. My PR for trying that is #1931. The main problem is we have no debugger on the IC, so the only way to debug anything is with prints, but that's not good enough for a code generation or GC bug.

That's why I asked about debugger plans in #motoko last week IIRC. I'm simply unable to make progress without a debugger. Maybe it's something about me, I don't know...

Even simpler, do we currently avoid doing a gc if there was no allocation? I guess that might leave garbage around in case the heap was just modified, but not extended.

We don't have any checks before a GC, so no.

It'd be easy to implement this, but would the code path ever taken? For example, in Haskell it's almost impossible to not allocate. Maybe it's not like that in Motoko, I don't know.

rossberg · 2020-10-09T12:24:57Z

@nomeata:

Switching to a non-copying is inevitable, isn’t it?

Why is that?

@osa1:

Why do you think how/where we store references requires more or less precise liveness analysis?

Not strictly necessary, but when you need to save/restore all local variables on every call, it might be more pressing to minimise the set.

nomeata · 2020-10-09T12:30:35Z

Switching to a non-copying is inevitable, isn’t it?

Why is that?

My impression is that the system will charge a lot for changing pages, and it would be absurd to dirty all pages in a GC run. (I think of running on the IC as running on a SSD: it’s fast, but you want to avoid writing to too many pages).

What kind of non-moving GC do you mean? A simple mark-sweep will still visit the entire heap: mark pass will visit live data, sweep pass will visit dead. In that sense current GC is better actually. I guess there could be more smart ideas that only visits garbage, but I'm not aware of any. I think there's no way around visiting live data (either for marking, or for copying).

Reading is still much cheaper than actually writing the pages. Can we keep the marks elsewhere? Maybe in a compact bitmap somehow?

The shadow stack stuff for dynamic roots is also one of these, regardless of what kind of GC we implement the GC will need to know the roots.

Only if we need do to a GC within a message. Given that message execution must be short, I am not sure we do. And unless we know for sure we do, I’d rather not invest into a shadow stack (which will certainly be much more expensive than using the Wasm stack like we do now).

but would the code path ever taken

Unlikely. You allocate already to copy the serialized argument to memory, even if it turns out to be DIDL\0\0.

osa1 · 2020-10-09T12:37:17Z

As I briefly mentioned above in my experience the biggest problem with implementing any of these (a different GC strategy, memory allocator, shadow/root stack, ...) is we don't have a debugger for the IC. In #1931 I tried a very simple thing: I added one more field to object headers. The idea is that I want to find and update all hard-coded object sizes and offsets in the RTS and code generator, so that when something about an object size or layout changes I'll update one place and the code generator and RTS will still work.

I debugged it for about two weeks and fixed many bugs, but it still doesn't work. There's some assumption (I think in the code generator, not in RTS) somewhere that doesn't hold after the update, but I can't find it. Only debug tool I have is debug prints, which is not helpful in this case (or at least I don't know how to debug it with just prints).

So I think having a better debugging story is also important here. This is not just for Motoko implementors, Rust CDK users will also need debugging at some point.

@nomeata

Reading is still much cheaper than actually writing the pages. Can we keep the marks elsewhere? Maybe in a compact bitmap somehow?

Yeah keeping mark bit maps in a separate memory is possible. That's what we do in GHC's non-moving collector as we can't change object layouts because that'd require recompiling the entire universe and we don't want to add memory overhead when non-moving GC is not used.

crusso · 2020-10-09T12:39:20Z

All good ideas. But I would not invest any more work into our copying GC. Switching to a non-copying is inevitable, isn’t it?

Regarding diagnostics, we now have primitives for measuring cycle consumption.

Do we? (I don’t think ic0.canister_balance will update as you go: Instead, before the message gets executed, some MAX_CYCLES_PER_MESSAGE are subtracted from the balance, the message is run, and afterwards whatever you didn't use is added again. At least that’s what I think is happening.)

I'm not sure that's what I was seeing, but let me verify - perhaps I was observing between awaits.

nomeata · 2020-10-09T12:42:56Z

Reading is still much cheaper than actually writing the pages. Can we keep the marks elsewhere? Maybe in a compact bitmap somehow?

Yeah keeping mark bit maps in a separate memory is possible. That's what we do in GHC's non-moving collector as we can't change object layouts because that'd require recompiling the entire universe and we don't want to add memory overhead when non-moving GC is not used.

Sounds good. So I guess the priorities are

(1) a debugger
(2) a profiler
(3) a non-moving GC

rossberg · 2020-10-09T12:45:27Z

@nomeata:

My impression is that the system will charge a lot for changing pages, and it would be absurd to dirty all pages in a GC run.

Yes, but we don't have to spill the baby with the bath water. Perhaps what we should go for is a paged heap, where pages are collected one at a time, and evicted when a certain lower threshold is hit.

I’d rather not invest into a shadow stack (which will certainly be much more expensive than using the Wasm stack like we do now).

That is an assumption that many people have, but AFAIK there is no clear evidence for it. At least for C, the overhead of the shadow stack was hardly measurable, and likely dominated by other costs.

rossberg · 2020-10-09T12:50:01Z

Relevant paper:

https://people.cs.umass.edu/~emery/pubs/f034-hertz.pdf

There might be more recent ones, too, but I need to track them down.

crusso · 2020-10-09T12:52:32Z

There's a very simple way of fixing this without making the RTS too much more complicated, the general idea is called in-place compaction, and I know how to do it because I maintained GHC's in-place compaction implementation (even fixed a ~19 years old bug in it!), but I'm unable to implement it simply because I'm unable to change object layouts.
My PR for trying that is #1931.

That sounds more complicated than what I'm thinking of. I'm literally just suggesting maintaining a from space and to-space pointer and swapping their roles, but maybe that's hard for some reason. I thought that was how simple copying collectors worked. Perhaps the obstacle for us is memory grow, and copying everything from to-space to from-space after gc makes it easy to grow memory without moving stuff around.

The main problem is we have no debugger on the IC, so the only way to debug anything is with prints, but that's not good enough for a code generation or GC bug.

Well, I'm sure Gabor would appreciate a hand with the debugger ;-> but I imagine you want to debug the RTS code, and I'm not sure his work will easily help with that.

nomeata · 2020-10-09T12:54:46Z

I'm literally just suggesting maintaining a from space and to-space pointer and swapping their roles, but maybe that's hard for some reason. I thought that was how simple copying collectors worked. Perhaps the obstacle for us is memory grow, and copying everything from to-space to from-space after gc makes it easy to grow memory without moving stuff around.

That works if you have a full virtual memory and can divide it into half. If we don't do that, we’d need a page allocator beneath, and/or we’d have to worry about fragmentation. Let’s move that sub-discussion onto #1670

crusso · 2020-10-09T14:39:26Z

All good ideas. But I would not invest any more work into our copying GC. Switching to a non-copying is inevitable, isn’t it?

Regarding diagnostics, we now have primitives for measuring cycle consumption.

Do we? (I don’t think ic0.canister_balance will update as you go: Instead, before the message gets executed, some MAX_CYCLES_PER_MESSAGE are subtracted from the balance, the message is run, and afterwards whatever you didn't use is added again. At least that’s what I think is happening.)

I'm not sure that's what I was seeing, but let me verify - perhaps I was observing between awaits.

I stand corrected. It's only if you await that you see the decrease in cycles. Sorry @osa1, not much use for you.

nomeata · 2020-10-12T07:37:53Z

This was discussed before, but JFR in this GC-brainstorming thread:

Maybe we can assume that it is cheap to modify unused pages and mark them as unused at the end of the message (i.e. the changes would not be persisted). That, and also typical workloads, might suggest that we want a simple copying (and compactifying) GC as the first generation, which cheaply gets rid of garbage that is not added to the persisted state; and then use a non-moving GC for whatever survives a message.

osa1 · 2021-01-04T10:30:17Z

I worked on a few different ideas last week for a new GC. Here's my notes and updates:

I started with implementing a mark-compact GC in branch osa1/compacting_gc_2 (based on #2210) that requires two data structures for bookkeeping:

A bitmap for object liveness. A bitmap is heap_size / 4 (min object size in bytes) / 8 (bits in a byte) bytes.
A mark stack. Mark stacks grow dynamically.

The GC doesn't move objects to a new space. Bitmap has a constant size so we allocate it first before a GC, then allocate the mark stack, which can grow dynamically. The heap after allocating the bitmap and mark stack looks like

| static data | heap | bitmap | mark stack |

Bitmap is implemented here and mark stack is implemented here. The implementations are reusable in other kinds of GCs and they are tested using quickcheck (1, 2).

The algorithm I wanted to implement is "threaded compaction" (algorithm 3.3 in The GC Handbook, also briefly described in my comment here). GHC uses the same algorithm for the oldest generation when residency passes a threshold. I fixed a few bugs in that code before and reimplemented some of the parts so I know the algorithm well. Good thing about this algorithm is it doesn't require extra space for compaction.

Unfortunately I discovered an issue that makes that algorithm difficult or impossible to use, at least directly: interior pointers to blob payloads in BigInt objects cause problems for this algorithm. The GC Handbook notes "Jonkers does not support interior pointers ..." in page 38. I had never thought about this before, I kinda always assumed no interior pointers, as I never had to deal with them before as GHC doesn't have interior pointers. I realized it when I tried to implement threading for BigInts. As the book also notes, it's possible to support this, but we need extra bits somewhere in the object and I think we don't have any such bits currently, but I'm not sure. I'm still thinking about this.

(Btw, @ggreif, do you know how GHC uses GMP? GHC doesn't have interior pointers so I wonder how does it allocate space for GMP objects and allow resizing blobs/byte arrays for GMP integers)

Other than this the algorithm is mostly complete in branch osa1/compacting_gc_2. Note that it's not tested at all. I'll try to complete it without the bigint support and test it.

I also experimented with using "visitors" in the RTS, to avoid writing the same pattern for visiting pointer fields of objects again and again. It works nicely for the current GC but I couldn't use it in the compacting GC as I'm not sure how to visit a BigInt when threading an object in the compacting GC. Once that's figured out I think we could implement zero-cost visitors for traversing an object.

Finally, I updated #1931 (rebased it on #2210), which works much better now (more tests pass). We don't really need it, we could always allocate the bookkeeping data in a new space, and use the bitmap for visiting only live or only dead objects, but it'd be good if I could update object headers easily (we could for example use one bit in the header for marking, or link all objects together and use malloc/free for allocation and deallocation). Interesting fact about that patch is it fails differently on my system and on the CI. It would be good to know what's causing that difference. I wonder if it could be another bug somewhere.

osa1 · 2021-01-04T12:50:11Z

Another update: I managed to fix the last bug in #1931 today, so I can now implement a very simple mark-sweep collector that does not move objects at all. It should also work fine with interior pointers. I'll try to do that this week unless something more important comes up at the NNS meeting today.

nomeata · 2021-01-04T13:28:15Z

Exciting!

osa1 · 2021-01-12T14:14:28Z

I think I'll have to get back to NNS hacking soon so here's the other GC plan that I had started working on a few weeks ago but couldn't finish.

So far we discovered two compacting (one two-space, another in-place) GC algorithms. These are convenient because we can use bump allocator and managing Wasm pages is easier.

I wanted to also experiment with non-moving collection and started working on a very simple mark-sweep collector. The main difficulty with non-moving GCs is we need to implement an allocator, we can't use bump allocator anymore, and implementing an efficient allocator is a big task on its own.

However it's possible to just use libc malloc/free for allocator if we can have two word space in object headers, to be used to link all objects together. We implement a global OBJECTS which always holds the last allocated object. Whenever we do malloc we add the allocated object to the doubly-linked OBJECTS list.

This allows us to traverse dead objects and free them. In marking whenever we mark an object we remove it from the OBJECTS list. After marking, objects left in OBJECTS are unreachable so we walk the list and free each object.

There were a few problems:

I couldn't compile musl malloc and free in our build system. I don't remember what the problem was though...
musl allocator has 2 word overhead per object (see malloc_impl.h). We add 2 more, so that's 4 word overhead per object. It's clear that this is going to be very inefficient, but I still wanted to just give it a try and optimize (maybe implement an allocator) later.
(I also checked wee_alloc, which is an allocator specifically for Wasm, implemented in Rust, but it also has 2 words overhead per object)

So I couldn't complete it.

nomeata · 2021-01-12T14:27:00Z

Thanks for writing these notes down.

In marking whenever we mark an object we remove it from the OBJECTS list. After marking, objects left in OBJECTS are unreachable so we walk the list and free each object.

Doesn’t that contradict “We implement a global OBJECTS which always holds the last allocated object”?

Or put differently: After one GC, the OBJECTS list is empty. But don't you need all life objects in that list for the next GC? Or do you build a new NEXT_OBJECTS list as you remove them from the old list, and then swap them?

Can you avoid this list if you traverse the heap to find unmarked objects (assuming you zero out deleted objects)?

osa1 · 2021-01-12T14:43:13Z

Sorry, I forgot to mention.. Marked objects moved to another list, let's call it "MARKED". After sweep, you move MARKED to OBJECTS (OBJECTS = MARKED; MARKED = NULL;)

Does that make sense?

osa1 · 2021-01-12T14:47:35Z

Can you avoid this list if you traverse the heap to find unmarked objects (assuming you zero out deleted objects)?

Yes. The problem is this is difficult to do if you don't have access to the allocator internals (buckets, bitmaps, etc.)

osa1 · 2021-05-17T14:38:38Z

I feel like this is a good place to add benchmark results re: garbage collection. If you disagree let me know and I'll move this comment elsewhere.

I've run some benchmarks to compare the current GC with the compacting GC implemented in #2223. Versions of stuff used in the benchmarks:

New GC: in-place compaction #2522 as moc. This branch allows compiling programs with compacting GC or copying GC, via a flag.
Trie workaround: Avoid assertion failure for "higher" bits. motoko-base#250 as motoko-base. Without this patch I'm unable to run the benchmark, the canister traps.
https://github.com/dfinity/cancan-archived as the canister
https://github.com/dfinity-lab/dfinity/pull/11489 as the replica. This version has some hacks to generate "canister_perf.csv" files with some perf stats. More on this below.

All files (scripts, CSVs) are attached at the end of this comment.

The benchmark: I register 1,000 users in CanCan backend, recording instructions, accessed Wasm pages, dirtied Wasm pages, and total Wasm pages in each call. After the registration I call getProfiles which returns a list of all users.

The plots are for the registration. getProfiles calls are not shown in the plots as those calls use much more instructions and allocate a lot of pages, so the plots render badly if I also include getProfiles numbers. getProfiles numbers are shown separately, not as a plot.

X axis shows number of the call. E.g. 5 means 5th crateProfile call.

"total number of pages" is in Wasm pages, "accessed pages" and "dirtied pages" are in host pages. A host page is 4KiB, a Wasm page is 16KiB. Note that this does not mean that allocating a Wasm page will allocate 4 host pages. As far as I understand, replica (or rather, wasmtime) can allocate OS pages on demand, e.g. when a host page for a Wasm page is used for the first time.

Summary of plots

As expected, compacting GC can halve the Wasm pages allocated, see description of #2223 for details.

I'm not sure why instruction usage almost doubled though. It was expected to use more instructions, but I'm a bit surprised that it's increased +98.82%. This needs more investigation.

Interestingly, instruction usage is lower in the compacting GC in getProfiles call, see below.

`getProfiles` call

getProfiles is a query call and it's called after registering 1,000 users, so it doesn't go GC and allocates fair amount of data. Numbers for this call:

GC	Instructions	Total pages	Accessed pages	Dirtied pages
Copying	49,388,282	96	1,388	1,299
Compacting	48,943,494	96	1,504	1,299
Diff	-0.9%	0	+8.35%	0

I don't know why there is any difference in these metrics for this call. Both collectors should have exactly the same amount of live data, and should allocate exactly the same amount. The compacting GC will have less Wasm pages allocated up to this point, so I would expect it to use slightly more instructions to allocate new Wasm pages (the slow path in the allocation routine), but it actually uses less instructions.

Scripts and commands

Compile CanCan backend to Wasm with:

moc --package base .vessel/base/dfx-0.7.0-beta.2/src \
    --package crud .vessel/crud/master/src \
    --package sequence .vessel/sequence/master/src \
    service/CanCan.mo

Pass --compacting-gc to the same command to compile with the compacting GC.

Note that the base path needs to include the PR mentioned in the description.

Generate CanCan.did with: (same command as above, with --idl)

moc --package base .vessel/base/dfx-0.7.0-beta.2/src \
    --package crud .vessel/crud/master/src \
    --package sequence .vessel/sequence/master/src \
    service/CanCan.mo --idl

Encode createProfile arguments with

didc encode -d CanCan.did -m createProfile "(\"test\", null)" --format blob | sed 's/\\/\\x/g'

(Optional, useful to make sure drun script is working as expected) Decode drun outputs with:

didc decode -d CanCan.did -t <type of data> <data>

Generate drun crateProfile lines with Python 3:

for i in range(0, 1000):
    name = f'test{i}'
    name_len = len(name)
    len_in_hex = hex(name_len)[2:].zfill(2)
    print(f'ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\\x02n\\x01m{{\\x02q\\x00\\x{len_in_hex}{name}\\x00"')

The drun script needs to start with

create
install rwlgt-iiaaa-aaaaa-aaaaa-cai <canister path>.wasm ""

Optionally add this line at the end to call getProfiles:

ingress rwlgt-iiaaa-aaaaa-aaaaa-cai getProfiles "DIDL\x00\x00"

Full drun file that I've used in the benchmarks reported above:

Full drun file

create
install rwlgt-iiaaa-aaaaa-aaaaa-cai CanCan_compacting_gc.wasm ""
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x05test0\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x05test1\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x05test2\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x05test3\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x05test4\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x05test5\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x05test6\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x05test7\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x05test8\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x05test9\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test10\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test11\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test12\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test13\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test14\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test15\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test16\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test17\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test18\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test19\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test20\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test21\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test22\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test23\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test24\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test25\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test26\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test27\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test28\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test29\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test30\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test31\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test32\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test33\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test34\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test35\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test36\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test37\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test38\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test39\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test40\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test41\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test42\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test43\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test44\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test45\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test46\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test47\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test48\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test49\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test50\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test51\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test52\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test53\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test54\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test55\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test56\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test57\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test58\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test59\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test60\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test61\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test62\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test63\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test64\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test65\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test66\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test67\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test68\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test69\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test70\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test71\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test72\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test73\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test74\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test75\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test76\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test77\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test78\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test79\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test80\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test81\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test82\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test83\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test84\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test85\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test86\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test87\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test88\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test89\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test90\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test91\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test92\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test93\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test94\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test95\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test96\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test97\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test98\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x06test99\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test100\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test101\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test102\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test103\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test104\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test105\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test106\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test107\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test108\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test109\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test110\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test111\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test112\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test113\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test114\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test115\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test116\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test117\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test118\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test119\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test120\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test121\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test122\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test123\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test124\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test125\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test126\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test127\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test128\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test129\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test130\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test131\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test132\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test133\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test134\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test135\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test136\x00"
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ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test939\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test940\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test941\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test942\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test943\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test944\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test945\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test946\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test947\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test948\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test949\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test950\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test951\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test952\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test953\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test954\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test955\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test956\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test957\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test958\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test959\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test960\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test961\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test962\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test963\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test964\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test965\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test966\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test967\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test968\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test969\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test970\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test971\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test972\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test973\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test974\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test975\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test976\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test977\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test978\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test979\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test980\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test981\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test982\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test983\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test984\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test985\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test986\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test987\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test988\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test989\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test990\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test991\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test992\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test993\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test994\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test995\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test996\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test997\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test998\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai createProfile "DIDL\x02n\x01m{\x02q\x00\x07test999\x00"
ingress rwlgt-iiaaa-aaaaa-aaaaa-cai getProfiles "DIDL\x00\x00"

Run drun with:

drun test.drun

The command will produce a CSV file named canister_perf.csv, with contents like:

canister,method,instructions,accessed_pages,dirtied_pages,total_pages_in_use
rwlgt-iiaaa-aaaaa-aaaaa-cai,Empty,0,0,0,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,CanisterStart,608,5,5,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,CanisterInit,280972,8,6,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,384857,11,8,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,413257,11,8,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,461091,11,8,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,507640,12,9,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,548945,12,9,3
...

Python script below assumes that the canister_perf.csv for the compacting GC is renamed as canister_perf_compacting_gc.csv and the similar for the copying GC (replace compacting with copying).

Python script to generate pngs:

#!/usr/bin/env python3

import subprocess

# https://edg.uchicago.edu/tutorials/pretty_plots_with_gnuplot

GNUPLOT_TEMPLATE = """
set terminal png notransparent rounded giant font "JetBrains Mono" 24 \
  size 1200,960 

set xtics nomirror
set ytics nomirror

set style line 80 lt 0 lc rgb "#808080"

set border 3 back ls 80 

set style line 81 lt 0 lc rgb "#808080" lw 0.5

set grid xtics
set grid ytics
set grid mxtics
set grid mytics

set grid back ls 81

set style line 1 lt 1 lc rgb "#A00000" lw 2 pt 7 ps 1.5
set style line 2 lt 1 lc rgb "#00A000" lw 2 pt 11 ps 1.5
set style line 3 lt 1 lc rgb "#5060D0" lw 2 pt 9 ps 1.5
set style line 4 lt 1 lc rgb "#0000A0" lw 2 pt 8 ps 1.5
set style line 5 lt 1 lc rgb "#D0D000" lw 2 pt 13 ps 1.5
set style line 6 lt 1 lc rgb "#00D0D0" lw 2 pt 12 ps 1.5
set style line 7 lt 1 lc rgb "#B200B2" lw 2 pt 5 ps 1.5

set datafile separator ','

set xlabel "call"
set ylabel "$YLABEL"

set xrange [0:1000]

plot "canister_perf_compacting_gc.csv" using ($0+1):$COLUMN_IDX with linespoints title "Compacting GC", \
     "canister_perf_copying_gc.csv" using ($0+1):$COLUMN_IDX with linespoints title "Copying GC"
"""

# Column indices and names of plots. Note that column indices are for gnuplot,
# i.e. they start from 1.
PLOTS = [('instructions', 3), ('accessed_pages', 4), ('dirtied_pages', 5), ('total_pages_in_use', 6)]

for (plot_type, column_idx) in PLOTS:
    print(plot_type)

    gnuplot = GNUPLOT_TEMPLATE.replace("$COLUMN_IDX", str(column_idx)).replace("$YLABEL", plot_type.replace("_", " "))
    p = subprocess.Popen(["gnuplot", "-p"], stdin=subprocess.PIPE, stdout=subprocess.PIPE)
    stdout = p.communicate(input=bytearray(gnuplot, encoding="utf-8"))[0]

    f = open('%s.png' % plot_type, 'wb')
    f.write(stdout)
    f.close()

CSV for the copying GC bench

canister,method,instructions,accessed_pages,dirtied_pages,total_pages_in_use
rwlgt-iiaaa-aaaaa-aaaaa-cai,Empty,0,0,0,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,CanisterStart,601,5,5,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,CanisterInit,148738,11,7,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,226293,14,9,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,254260,15,10,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,282187,15,10,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,309436,15,10,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,331682,16,11,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,357497,16,11,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,383770,17,12,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,409874,17,12,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,432703,18,13,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,504379,19,14,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,482924,18,13,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,505838,19,14,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,528935,19,14,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,552365,20,15,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,578703,20,15,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,601799,20,15,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,628591,21,16,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,651434,21,16,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,725146,23,18,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,759879,23,18,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,735831,23,18,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,753818,23,18,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,771675,23,18,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,799314,24,19,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,822328,24,19,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,837305,24,19,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,851889,25,20,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,878661,25,20,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,900383,26,21,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,917818,26,21,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,944610,26,21,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,963018,27,22,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,989530,27,22,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1011079,27,22,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1033003,28,23,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1056099,28,23,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1127957,30,25,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1161441,30,25,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1193899,31,26,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1225532,31,26,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1201096,31,26,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1211710,31,26,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1234681,31,26,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1257415,32,27,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1284747,32,27,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1306135,33,28,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1328421,33,28,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1351662,33,28,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1374496,34,29,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1387757,34,29,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1411063,34,29,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1423551,35,30,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1446789,35,30,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1472652,35,30,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1499072,36,31,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1522168,36,31,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1544284,37,32,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1567127,37,32,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1583161,37,32,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1601209,38,33,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1626795,38,33,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1644774,38,33,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1672014,39,34,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1696056,39,34,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1717176,40,35,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1739019,40,35,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1761763,40,35,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1780624,41,36,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1804047,41,36,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1822212,41,36,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1844044,42,37,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1866860,42,37,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1942428,44,39,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1975247,44,39,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2005537,45,40,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2039211,46,41,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2071592,46,41,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2105963,47,42,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2137532,47,42,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2170603,48,43,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2155851,47,42,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2157689,47,42,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2175655,48,43,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2193715,48,43,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2212235,48,43,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2229537,49,44,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2242482,49,44,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2260348,49,44,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2283364,49,44,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2302565,50,45,5
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2448343,53,48,6
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2394618,51,46,6
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2410944,52,47,6
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2428919,52,47,6
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2446574,52,47,6
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2465176,53,48,6
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2484021,53,48,6
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2507042,53,48,6
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2529516,54,49,6
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2544544,54,49,6
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2575349,54,49,6
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2599632,55,50,6
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2620356,55,50,6
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2649007,56,51,6
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2677498,56,51,6
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2701308,57,52,6
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2719981,57,52,6
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2795136,58,53,6
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2755790,57,52,6
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,2900117,60,55,6
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rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,19410225,338,333,23
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,19429435,338,333,23
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,19449073,339,334,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,19549059,341,336,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,19526378,340,335,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,19554016,340,335,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,19576403,341,336,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,19604783,341,336,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,19628777,342,337,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,19648849,342,337,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,19665558,342,337,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,19684665,343,338,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,19763805,344,339,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,19798847,345,340,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,19776210,344,339,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,19802878,345,340,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,19830389,345,340,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,19860008,346,341,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,19883514,346,341,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,19900038,346,341,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,19920411,347,342,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,19940753,347,342,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20010902,349,344,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,19992681,348,343,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20015972,348,343,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20041714,349,344,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20070082,349,344,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20089258,350,345,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20108605,350,345,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20126790,350,345,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20151382,351,346,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20229795,352,347,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20208357,352,347,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20234403,352,347,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20252786,352,347,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20277692,353,348,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20306060,353,348,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20328929,354,349,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20350147,354,349,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20365311,354,349,24
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20389221,355,350,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20467091,356,351,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20444717,356,351,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20470252,356,351,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20486908,356,351,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20514149,357,352,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20539102,357,352,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20556162,357,352,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20575781,358,353,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20605457,358,353,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20624808,359,354,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20640948,359,354,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20718135,360,355,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20706917,360,355,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20731016,360,355,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20759588,361,356,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20779216,361,356,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20798648,361,356,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20817341,362,357,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20842002,362,357,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20861793,363,358,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20877391,363,358,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20958870,365,360,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20947356,364,359,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20961175,364,359,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,20985169,365,360,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21006006,365,360,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21022796,365,360,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21056649,366,361,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21071131,366,361,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21091014,366,361,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21117452,367,362,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21137092,367,362,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21162400,368,363,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21186382,368,363,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21210660,368,363,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21227909,369,364,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21245455,369,364,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21279827,370,365,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21295517,370,365,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21314652,370,365,25
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21340557,371,366,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21361036,371,366,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21399492,372,367,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21419211,372,367,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21500576,374,369,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21470166,373,368,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21483417,373,368,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21503195,373,368,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21533398,374,369,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21549936,374,369,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21565706,374,369,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21588597,375,370,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21629886,375,370,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21648468,376,371,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21730720,378,373,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21715273,377,372,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21728890,377,372,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21749267,378,373,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21779468,378,373,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21799106,378,373,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21801746,378,373,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21821346,379,374,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21866805,379,374,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21896247,380,375,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21918576,380,375,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,21943817,381,376,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22019429,382,377,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22054903,383,378,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22037869,382,377,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22053475,383,378,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22051041,383,378,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22070930,383,378,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22096512,383,378,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22123988,384,379,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22148534,384,379,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22175884,385,380,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22252898,386,381,26
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22278321,387,382,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22261814,386,381,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22281261,386,381,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22305730,387,382,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22320884,387,382,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22348208,388,383,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22371702,388,383,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22392404,388,383,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22420952,389,384,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22443913,389,384,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22464082,389,384,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22484066,390,385,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22500265,390,385,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22581118,392,387,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22561085,391,386,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22591697,392,387,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22615890,392,387,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22640436,392,387,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22651779,393,388,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22677364,393,388,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22695787,393,388,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22715399,394,389,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22734414,394,389,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22817803,396,391,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22796651,395,390,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22827803,396,391,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22851039,396,391,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22864182,396,391,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22888434,397,392,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22905174,397,392,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22924341,397,392,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23005633,399,394,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,22982977,398,393,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23002418,399,394,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23080660,400,395,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23067594,400,395,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23091995,400,395,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23111439,400,395,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23134720,401,396,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23155244,401,396,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23170889,401,396,27
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23253835,403,398,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23231460,402,397,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23251535,403,398,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23325887,404,399,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23318562,404,399,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23342755,404,399,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23362647,405,400,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23382435,405,400,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23397513,405,400,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23424353,406,401,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23440538,406,401,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23456030,406,401,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23487440,407,402,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23499561,407,402,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23539724,408,403,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23565037,408,403,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23582277,408,403,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23599920,409,404,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23619802,409,404,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23654274,410,405,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23669459,410,405,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23679077,410,405,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23713483,411,406,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23726818,411,406,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23773057,412,407,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23794001,412,407,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23808372,412,407,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23839316,413,408,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23853227,413,408,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23872161,413,408,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23945384,415,410,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23924463,414,409,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23944638,414,409,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,23964698,415,410,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,24015046,416,411,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,24034133,416,411,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,24040077,416,411,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,24070416,417,412,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,24089634,417,412,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,24108294,417,412,28
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,24182340,419,414,29
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,24161168,418,413,29
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,24176697,418,413,29
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,24205996,419,414,29
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_query getProfiles,49388282,1386,1300,96

CSV for the compacting GC bench

canister,method,instructions,accessed_pages,dirtied_pages,total_pages_in_use
rwlgt-iiaaa-aaaaa-aaaaa-cai,Empty,0,0,0,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,CanisterStart,601,5,5,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,CanisterInit,243421,10,7,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,340035,13,9,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,362584,13,9,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,404463,13,9,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,445115,14,10,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,480463,14,10,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,517830,14,10,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,557877,14,10,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,596455,15,11,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,632361,15,11,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,725418,16,12,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,716241,15,11,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,754697,16,12,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,790351,16,12,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,827562,16,12,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,866625,16,12,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,902956,17,13,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,943147,17,13,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,979096,17,13,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1074679,18,14,3
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1131498,19,15,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1103511,18,14,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1152702,18,14,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1175803,18,14,4
rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_update createProfile,1230059,18,14,4
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rwlgt-iiaaa-aaaaa-aaaaa-cai,canister_query getProfiles,49388347,1506,1299,96

nomeata · 2021-05-18T07:59:10Z

Great work! It feels much better discussing options if we have data…

You say

Because the method does same amount of work in both cases, any difference in instructions must be because of the GC after the call.

but getProfiles is a query function, and there we don’t even do GC at the end. So I wouldn’t be expecting any real difference there. Is allocation cheaper/more expensive in one vs. the other maybe?

nomeata · 2021-05-18T08:05:05Z

So what is the immediate take away? Maybe we should just ship both, decide what the default GC is, but give people the choice to use the other?

It seems that as long as you don't expect to have more than 2GB of data (or, more precise, as long as 2*live_data + dead_data + static_data) < 4GB) the copying is the better choice (less instructions), but when you want to use the full memory, the compacting is better?

But even then, the compacting GC will likely touch and move every live object. So you’d be still spending the cycles on that, may run out of cycles etc. Probably not viable until we run GC not on every message, but only more rarely.

The system doesn’t yet charge for dirtied pages, but it will eventually. So my I still expect we’ll eventually need a non-moving GC. Or a mostly-non-moving GC. But thanks to work like yours above, we’ll have numbers to guide us.

nomeata · 2021-05-18T08:06:23Z

Oh, since you already have this flag, can you add a --no-gc flag, where, well, no GC happens? This might not be a viable option in production, but I’d really like to see the above graphs with a line for that. It would tell us how many cycles we spend in the copying GC, and how much allocation there actually is in total.

osa1 · 2021-05-18T12:24:17Z

but getProfiles is a query function, and there we don’t even do GC at the end. So I wouldn’t be expecting any real difference there. Is allocation cheaper/more expensive in one vs. the other maybe?

Hm, good point. We use the same bump allocator in both cases so there shouldn't be a difference. I think the only difference should be how many times we call alloc::gc::grow_memory, but this still doesn't explain how can compacting GC use less instructions because I would expect it to call grow_memory more, not less, because it allocates less pages before getProfiles, so it needs to allocate more pages in getProfiles (as after getProfiles both versions have the same number of allocated pages).

But even then, the compacting GC will likely touch and move every live object. So you’d be still spending the cycles on that, may run out of cycles etc. Probably not viable until we run GC not on every message, but only more rarely.

Unless there's a bug in the compacting GC, both collectors should touch the same objects (only live ones). I need to figure out why compacting GC uses 1x more cycles than copying one, it doesn't make sense to me.

The system doesn’t yet charge for dirtied pages, but it will eventually. So my I still expect we’ll eventually need a non-moving GC. Or a mostly-non-moving GC. But thanks to work like yours above, we’ll have numbers to guide us.

Right, if we want to optimize for dirtied pages, then mark-sweep with external bitmaps (e.g. liveness bits not attached to objects, but maintained separately as we do currently in the mark-compact collector) will probably a good choice. The difficulty with that is (as discussed before in this thread) it requires a new allocator.

Oh, since you already have this flag, can you add a --no-gc flag, where, well, no GC happens?

~~Good idea. I'd forgotten this flag. I will try it now.~~ Err, I thought this flag already exists. I'll add it.

nomeata · 2021-05-18T14:02:29Z

Unless there's a bug in the compacting GC, both collectors should touch the same objects (only live ones). I need to figure out why compacting GC uses 1x more cycles than copying one, it doesn't make sense to me.

Especially since the copying GC copies twice: Once to to-space, and then once again to move tot he beginning of the memory! I’ll be curious what you find out.

Don’t you have to do additional work to maintain these linked lists? It shouldn’t be that much, but maybe intuition is failing us.

osa1 · 2021-05-18T14:23:20Z

Don’t you have to do additional work to maintain these linked lists? It shouldn’t be that much, but maybe intuition is failing us.

Yes, but that should add about 50%, not 100%. In copying GC we visit live objects twice. In compacting, we visit once for marking, then again for chaining the objects updating forward points, then once again for updating backwards pointerss + moving the objects. So that's 3 passes instead of 2, 50% more. Both collectors move the objects so cost of that should be more or less the same. Actually, compacting GC can sometimes not move an object, long-lived objects move to the beginning of the heap with each collection, and their location after the GC can be the same. So instruction usage for copying cannot be more than instruction usage for copying in the copying GC, and it can be smaller.

If we had a way to profile canisters that would be very helpful.

nomeata · 2021-05-18T14:28:07Z

Both collectors move the objects so cost of that should be more or less the same.

No! The (well, our) copying GC moves twice, once to the end of the space, and then again to the beginning. So it should be even more expensive.

If we had a way to profile canisters that would be very helpful.

We have, use the wasm_profiler in this repo. That’s what we use to produce the flame graphs on CI.

crusso · 2021-05-18T21:16:37Z

Excellent work! Any chance you are still running the heap integrity checker? Maybe that's just wasting cycles?

osa1 · 2021-05-19T03:02:00Z

I updated the post above with the plots. Each plot now has a new (blue) line for the "no GC" case. I also updated the getProfiles section as some of the claims before was incorrect.

@crusso

Any chance you are still running the heap integrity checker?

What is integrity checker? I searched for it, but couldn't find anything relevant in the code generator. We don't have anything like that in the RTS.

nomeata · 2021-05-19T06:47:59Z

How large is the GC anyways? Probably not really too big to include both (and thus greatly simplify our build and deployment) Could you make it a run-time flag even?
Or (since they use the same allocator) dynamically switch to the compacting one if the heap is more than 50% full?

nomeata · 2021-05-19T06:50:27Z

Hmm, the graphs above show that we spend, after a few registrations, most of our cycles GC’ing. And that we allocate like wild.

Looking forward to using a copying or compacting GC for the per-message-generation, but a non-moving GC for long-lived data. It will look much better…

(We should get this CanCan test include in test/perf)

crusso · 2021-05-19T11:44:04Z

Any chance you are still running the heap integrity checker?

What is integrity checker? I searched for it, but couldn't find anything relevant in the code generator. We don't have anything like that in the RTS.

Sorry I didn't mean to put you on a wild goose chase - I thought you had written some Rust code to verify the heap and might have left that on.

osa1 · 2021-06-02T10:31:37Z

Small update: I realized that one of the assertions in the compacting GC was enabled always, instead of just in debug mode. I've now updated the code and the instructions plot: it now uses slightly less instructions than the previous version.

osa1 · 2021-06-03T07:04:25Z

There's a nice property in the compacting GC: long-lived objects move to the beginning of the heap over time and their relative order to each other do not change. Now suppose we've moved some long-lived objects to the beginning of the heap and they will stay alive for the next few GCs. In principle we could avoid threading fields to those objects as they won't be moved.

I was curious if we could exploit this and whether it would be worthwhile, so I modified the RTS to print out how many objects will not be moved in a GC. I used the same CanCan benchmark that generated the plots above. Here's the result:

Sorry if the labeling is confusing.. If "Words not moved" is 100 that means at that GC, the first 100 words in the heap are not moved (compacted).

So as the residency increases the lowest amount of not moved words increase, with some exceptions in every ~100 or so calls.

When I look at the CSV file, I see that the number monotonically incrase for ~20 or so calls, then decrease a fair amount, and start to increase again for the next ~20 calls.

I think those decreasing parts between every ~20 call should be rebalancing the tree (reminder: in this benchmark we maintain a large map, we add a string in each call). The trie nodes not changed are shifted to the beginning of the heap and are reused for a while. After a while we need to rebalance the tree (not sure how exactly the algorithm works so not sure about the details) and those reused nodes get updated (functionally, so new allocation).

I'm guessing the large decreases in ~100 calls for even larger rebalancing. Perhaps the entire tree is built from scratch? Not sure.

Now, I quickly hacked a prototype to avoid threading fields to those objects that are not moved in a GC, but my prototype used more instructions. The extra code is for: finding where do we start moving the objects in the heap so that we can avoid threading fields to objects before it and extra branching for checking if a field points to an objects that will be moved or otherwise. I think (2) can't be optimized as it's as simple as it gets (if field_value < first_moved_object { return; }). Not sure about (1).

osa1 · 2021-06-03T07:18:11Z

Thinking about this more, if these long-lived objects are referenced by very few other objects (for example, child nodes of a tree would only be referenced by their parents) then finding the first moved object, and the extra branching, will not worth it. I suspect this may be the case here with this benchmark.

matthewhammer · 2021-06-03T18:38:07Z

@osa1 thanks for the pointer to this thread. Sorry that I'm late to the discussion. These results and the detailed documentation of your setup are wonderful. I'd like to reproduce similar graphs for other canisters, as I mentioned to you.

The updated plots here are especially interesting to me:
#2033 (comment)

As I mentioned in a meeting, in passing, CanCan uses a lot of functional hash tables, represented as "balanced" binary trees.

Indeed, older entries in the trees that survive (the data and the path inserted into the tree) would "eventually" be "left alone" by the Trie module's algorithms, and not re-allocated by any later operation (in expectation).

That property is intentional here, and why I think these hash-based binary trees are a better choice for purely-functional maps in long-lived canister memory (especially stable memory) compared with a Red-Black tree or some other structure that rotates or otherwise rearranges subtrees that it has "grown" in order to maintain its balance invariants.

By contrast, these Trie structures only "regrow" paths when new keys get inserted into them, and never to rebalance. They derive balance (in expectation) from using key hash bits to define binary paths.

This merges #2223 and master and enables the new collector with a new moc flag `--compacting-gc`. The goal is to (1) avoid bitrot in #2223 (2) allow easy testing and benchmarking of different collectors. We include both collectors in the Wasms. Binary sizes grow between 0.8% (CanCan backend) to 1.8% (in simple tests in `run-drun`). Some benchmark results here: #2033 (comment) An improvement to the compacting GC is currently being implemented in branch `osa1/compacting_gc_3`.

This refactors the RTS to allow testing garbage collectors and adds a simple GC test (more tests to be implemented in a new PR). Major changes: - New trait `Memory` is introduced, with a `alloc_words` method for heap allocation. - All allocating functions now take a generic `Memory` argument. Part of this is necessary for testing the collectors, but this also enables more testing: we now test more code paths in mark stack implementation. - Copying and mark-compact GC entry points now take these arguments: - `mem: &mut M`: memory implementation - `get_hp`: callback to get heap pointer - `set_hp: SetHp`: callback to set heap pointer - `mem_base: u32`: beginning of dynamic heap - `mem_end: u32`: end of dynamic heap - `static_roots: SkewedPtr`: pointer to the static root array - `closure_table_loc: *mut SkewedPtr`: address of the closure table in dynamic heap - Monomorphised versions of copying and mark-compact GC entry points added to be called from compiled code - Copying GC refactored to avoid using `grow_memory`, it now uses `alloc_words` to allocate in to-space. - New crate `motoko-rts-macros` added. This defines a macro `ic_mem_fn` which is used to generate monomorphised versions of allocationg functions, to be called from compiled code. - Randomized testing in RTS tests now use proptest instead of quickcheck. proptest is much more flexible than quickcheck, allows easier testing in some cases. Perf changes: Using CanCan backend benchmark as described here: #2033 (comment) - With copying GC the the benchmark uses 1.5% more instructions. I suspect this is caused by the change in copying GC to use `alloc_words` instead of `grow_memory`. - With compacting GC the benchmark uses 0.12% less instructions TODOs: - I had to disable the test `big-array-access`. It's a failing test, and the backtrace changes depending on RTS build flags (debug or release).

nomeata · 2022-04-09T12:27:27Z

What is the status here? Isn’t this implemented with the MAX_HP_FOR_GC setting?

rossberg added compiler Motoko → Wasm performance Affects only gas usage or code size P2 medium priority, resolve within a couple of milestones labels Oct 20, 2020

osa1 changed the title ~~Do garbage collection when the heap is full~~ Collect garbage when the heap is full Jan 5, 2021

osa1 mentioned this issue Jan 7, 2021

New GC: in-place compaction #2223

Closed

1 task

rossberg mentioned this issue Feb 2, 2021

Meta-issue: Performance improvements #2302

Open

11 tasks

osa1 mentioned this issue May 19, 2021

Add a flag to disable garbage collection in runtime #2535

Closed

osa1 mentioned this issue Jun 10, 2021

New GC: in-place compaction #2522

Merged

osa1 mentioned this issue Jun 30, 2021

GC unit test infra, start adding GC tests #2573

Merged

osa1 mentioned this issue Oct 22, 2021

Bump up MAX_HP_FOR_GC from 1GB to 3GB #2848

Merged

Collect garbage when the heap is full #2033

Collect garbage when the heap is full #2033

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Summary of plots

getProfiles call

Scripts and commands

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`getProfiles` call

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