Package weakmap
implements a weak map for Go without unsafe
or pointer magic.
Instead, it uses finalizers to hook into garbage collection cycles and evicts
old entries based on a combination of a least-recently-used (LRU) policy
and memory pressure reported by the runtime.
The primary use case for this type of weak map is memory-caching. Compared to a traditional in-memory caches, you don't have to think about deadlines or background cleanup tasks. You can carelessly throw stuff into the weak map and let the GC take care of the rest.
Install:
go get github.com/ammario/weakmap@main
Warning
weakmap
relies on runtime.SetFinalizer
and, specifically, that
objects larger than 16 bytes will not be batched into shared allocation
slots. While this behavior is documented, whether the Go Authors consider
it apart of the compatibility promise is dubious at best.
See ammario/tlru for a safer, traditional cache implementation.
The API should be familiar to anyone that's used a map:
// The default value is good to use.
m := weakmap.Map[string, int]{}
m.Set("pi", 3.14)
// 3.14, true
v, ok := m.Get("pi")
m.Delete("pi")
// It's now gone!
The map's operations are already protected by a mutex and are safe for concurrent use.
Cache eviction occurs automatically when the GC runs. The number of removed entries is proportional to the program's memory pressure.
Memory pressure is defined as the ratio of runtime/metrics
/memory/classes/heap/objects:bytes
to /memory/classes/total:bytes
. The Map likely needs a tuning
parameter to adjust sensitivity but I'm not yet sure what that should be.
See gc.go
for the implementation details.
Often you want to control the amount of memory a data structure uses even when memory is abundant. To that end, you can specify a cost function and cost limit on each map. For example:
m := Map[string, []byte]{
Coster: func(v []byte) int { return len(v) },
MaxCost: 1024*1024*1024, // 1 GB
}
for {
m.Set("big", make([]byte, 1024*1024))
}
// Map will never track more than 1 GB of byte slice memory.
You may run ./example/gctest to see how the map behaves under different memory conditions.
For example:
$ go run ./example/gctest/ -memlimit 100000000 -allocsize 1000000 -pause 10ms
allocating at a rate of 100 MB/s to a memory limit of 100 MB
Map Size Total Sets Mem Alloc Next GC GC Runs
13 99 43 MB (42%) 67 MB 7
8 199 49 MB (48%) 85 MB 10
29 299 88 MB (87%) 91 MB 12
36 399 87 MB (86%) 91 MB 15
35 499 75 MB (74%) 85 MB 18
27 599 55 MB (54%) 59 MB 21
34 699 85 MB (84%) 91 MB 24
33 799 73 MB (72%) 85 MB 27
26 900 54 MB (53%) 59 MB 30
32 999 83 MB (82%) 91 MB 33
- See golang/go#43615 for the state of the debate of weak references in Go.