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github.com/gaillard/go-queue
I was hacking a breadth-first search in Go and needed a queue but all I could find in the standard library was container/list.
Now in principle there's nothing wrong with container/list, but I had just admonished my students to always carefully think about the number of memory allocations their programs make. In other words, it felt a bit wrong for me to use a data structure that will allocate memory for every single vertex we visit during a breadth-first search.
So I quickly hacked a simple queue on top of a slice and finished my project. Now I am trying to clean up the code I wrote to give everybody else what I really wanted the standard library to have: A queue abstraction that doesn't allocate memory on every single insertion.
I am trying to stick close to the conventions container/list seems to follow even though I disagree with several of them.
The benchmarks are not very sophisticated yet but it seems that we rather clearly beat container/list on the most common operations.
$ go test -bench . -benchmem
PASS
BenchmarkPushFrontQueue 20000000 190 ns/op 53 B/op 0 allocs/op
BenchmarkPushFrontList 10000000 304 ns/op 49 B/op 1 allocs/op
BenchmarkPushBackQueue 10000000 170 ns/op 53 B/op 0 allocs/op
BenchmarkPushBackList 5000000 309 ns/op 49 B/op 1 allocs/op
BenchmarkPushBackChannel 50000000 56.4 ns/op 16 B/op 0 allocs/op
BenchmarkRandomQueue 5000000 417 ns/op 26 B/op 0 allocs/op
BenchmarkRandomList 2000000 843 ns/op 78 B/op 1 allocs/op
ok github.com/phf/go-queue 20.241s
Go's channels beat everything else, but they are also more limited than both container/list or this queue class: You have to size them correctly if you want to use them as a simple queue in an otherwise non-concurrent setting, they are not double-ended, and they don't support just "peeking" at the next element without removing it. Still, in certain settings you may want to use a channel as a very specialized queue just because it's ridiculously fast.
I guess my biggest gripe with Go's container/list is that it tries very hard to never ever panic. I don't understand this, and in fact I think it's rather dangerous.
Take a plain old array for example. When you index outside of its domain, you get a panic even in Go. As you should! This kind of runtime check helps you catch your indexing errors and it also enforces the abstraction provided by the array.
But then Go already messes things up with the builtin map type. Instead of getting a panic when you try to access a key that's not in the map, you get a zero value. And if you really want to know whether a key is there or not you have to go through some extra stunts.
Apparently they just kept going from there with the libraries. In the case of container/list for example, if you try to remove an element that's not actually from that list, nothing happens. Instead of immediately getting into your face with a panic and helping you fix your code, you'll just keep wondering why the Remove() operation you wrote down didn't work. Indeed you'll probably end up looking for the bug in all the wrong places before it finally dawns on you that maybe you removed from the wrong list.
In any case, presumably the Go guys know better what they want their libraries to look like than I do, so for this queue module I simply followed their conventions. I would much prefer to panic in your face when you try to remove or even just access something from an empty queue. But since their stuff doesn't panic in similar circumstances, this queue implementation doesn't either. It just silently ignores the problem and hands you a nil value instead. Now of course you have to keep checking that return value all the time instead of being able to rely on a runtime check. Oh well.
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