41 releases
0.8.6 | Oct 12, 2024 |
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0.8.4 | Jun 22, 2024 |
0.7.4 | Oct 28, 2023 |
0.7.1 | Jun 18, 2023 |
0.3.4 | Feb 27, 2018 |
#10 in Caching
96,313 downloads per month
Used in 165 crates
(11 directly)
115KB
2.5K
SLoC
Internment
A very easy to use library for interning strings or other data in rust. Interned data is very efficient to either hash or compare for equality (just a pointer comparison). Data is also automatically de-duplicated.
You have three options with the internment crate:
-
Intern
, which will never free your data. This means that anIntern
isCopy
, so you can make as many copies of the pointer as you may care to at no cost. Its implementation also uses no unsafe code. -
ArcIntern
, which reference-counts your data and frees it when there are no more references.ArcIntern
will keep memory use down, but uses an atomic increment/decrement whenever a clone of your pointer is made, or a pointer is dropped. Requires featurearc
. -
ArenaIntern
, which stores its data in anArena
, with the data being freed when the arena itself is freed. Requires featurearena
.
In each case, accessing your data is a single pointer dereference, and the size
of any internment data structure (Intern
or ArcIntern
or ArenaIntern
) is a
single pointer. In each case, you have a guarantee that a single data value (as
defined by Eq
and Hash
) will correspond to a single pointer value. This
means that we can use pointer comparison (and a pointer hash) in place of value
comparisons, which is very fast.
Also note that if you do not use the Intern
type, you may wish to compile with
cargo build --no-default-features --features arc
(or arena
), which will
slightly speed up your build and trim down your executable size.
Example
use internment::Intern;
let x = Intern::new("hello");
let y = Intern::new("world");
assert_ne!(x, y);
println!("The conventional greeting is '{} {}'", x, y);
Arena example
use internment::Arena;
let arena: Arena<&'static str> = Arena::new();
let x = arena.intern("hello");
let y = arena.intern("world");
assert_ne!(x, y);
println!("The conventional greeting is '{} {}'", x, y);
Comparison with other interning crates
There are already several interning crates available on
crates.io. What makes
internment
different? Many of the interning crates are specific to
strings. The general purpose interning crates are:
Each of these crates implement arena allocation, with tokens of
various sizes to reference an interned object. This approach makes
them far more challenging to use than internment
. Their approach
also enables freeing of all interned objects at once when they go out
of scope (which is an advantage).
The primary disadvantages of arena allocation relative to
internment
's approach are:
-
Lookup of a token could fail, either because an invalid token could be generated by hand, or a token from one pool could be used by another. This adds an element of unsafety to code that uses interned objects: either they assume that they are bug-free and panic on errors, or they have error handling any place that uses tokens.
-
Lookup of a token could give the wrong object, if multiple pools are used. This is easy to avoid if you avoid ever using more than one pool, but then you may gain little benefit from the arena allocation.
-
Lookup of a token is slow. They all advertise being fast, but any lookup is going to be slower than pointer dereferencing. To be fair, increased memory locality could in principle make token lookup faster for some access patterns, but I doubt it.
To balance this, because internment
has tokens that are globally
valid, it uses a Mutex
to protect its internal data, which is taken
on the interning of new data,
which is probably slower than the other interning crates (unless you
want to use their tokens across threads, in which case you'd have to
put the pool in a Mutex
and pay the same penalty).
Another interning crate which is very similar to internment
is:
The hashconsing
crate is considerably more complicated in its API
than internment
, but generates global pointers in a similar way.
The HConsed<T>
data type is always referenced counted with Arc
,
which makes it similar to ArcIntern
, which is less efficient than
Intern
, but does not eternally leak memory.
Dependencies
~0.8–6MB
~33K SLoC