A pure Rust implementation of succinct and compressed data structures.
This crate started as part of the Sux project; it contains also code ported from the DSI Utilities and new structures.
- Support for 32-bit and 64-bit architectures;
- bit vectors and bit-field vectors;
- several structures for rank and selection with different tradeoffs;
- indexed dictionaries, including an implementation of the popular Elias–Fano representation of monotone sequences, and lists of strings compressed by prefix omission.
- new state-of-the-art structures for static functions and static filters, scaling to trillions of keys, and providing very fast queries;
- support for signed index functions;
- monotone minimal perfect hash functions based on longest common prefixes;
- partial arrays, that is, “arrays with holes”, implemented using ranking or Elias–Fano;
- lists (e.g., compressed lists of integers).
The focus is on performance (e.g., there are unchecked versions of all methods
and support for unaligned access) and on flexible composability (e.g., you can
fine-tune your EliasFano instance by choosing different types of internal
indices, and whether to index zeros or ones). Whenever possible, there are
mapping methods that replace an underlying structure with another one, provided
it is compatible.
This crate does not provide high-level genericity on bit vectors: bit vectors
operations on words of type W are based on a combination of the BitLength
trait, which provides the bit length, and on AsRef<W>/AsMut<W>, which
provide access to the underlying data. This approach makes it possible to use
any structure that implements these traits as a bit vector, and to implement
your own bit vector if you need specific features (e.g., support for unaligned
access).
To make rank/select structures composable, we parameterize them with a backend
that needs to implement the Backend trait, which provides only the backend
word as an associated type Word. Implementations can then use BitLength
and AsRef<Self::Word>/AsMut<Self::Word> to access the backend using bit
operations. Bit vectors and structures delegate these traits to their backend,
so you can use any structure that implements the Backend trait as a backend
for (further) rank/select structures.
All structures in this crate are designed to work well with ε-serde: in
particular, once you have created and serialized them, you can easily map them
into memory or load them in memory regions with specific mmap() attributes.
Support for ε-serde is provided by the feature epserde, and support for
memory mapping in ε-serde is provided by the mmap feature.
All structures in this crate support serialization with serde. Support is
gated by the feature serde.
Wherever possible, we support the “slice by value” traits from the
value-traits crate, which make it possible to treat in a manner similar to
slices structures such as bit-field vectors or succinct representations.
All structures in this crate support the MemDbg and MemSize traits from
the mem_dbg crate, which provide convenient facilities for inspecting memory
usage and debugging memory-related issues. For example, this is the output of
mem_dbg() on an EliasFano instance:
11.15 MB 100.00% ⏺: sux::dict::elias_fano::EliasFano<sux::rank_sel::select_zero_adapt_const::SelectZeroAdaptConst<sux::rank_sel::select_adapt_const::SelectAdaptConst<sux::bits::bit_vec::BitVec<alloc::boxed::Box<[usize]>>>>>
7.500 MB 67.24% ├╴low_bits: sux::bits::bit_field_vec::BitFieldVec<usize, alloc::boxed::Box<[usize]>>
7.500 MB 67.24% │ ├╴bits: alloc::boxed::Box<[usize]>
8 B 0.00% │ ├╴bit_width: usize
8 B 0.00% │ ├╴mask: usize
8 B 0.00% │ ╰╴len: usize
3.654 MB 32.76% ├╴high_bits: sux::rank_sel::select_zero_adapt_const::SelectZeroAdaptConst<sux::rank_sel::select_adapt_const::SelectAdaptConst<sux::bits::bit_vec::BitVec<alloc::boxed::Box<[usize]>>>>
3.379 MB 30.29% │ ├╴bits: sux::rank_sel::select_adapt_const::SelectAdaptConst<sux::bits::bit_vec::BitVec<alloc::boxed::Box<[usize]>>>
3.203 MB 28.72% │ │ ├╴bits: sux::bits::bit_vec::BitVec<alloc::boxed::Box<[usize]>>
3.203 MB 28.72% │ │ │ ├╴bits: alloc::boxed::Box<[usize]>
8 B 0.00% │ │ │ ╰╴len: usize
175.8 kB 1.58% │ │ ├╴inventory: alloc::boxed::Box<[usize]>
16 B 0.00% │ │ ╰╴spill: alloc::boxed::Box<[usize]>
274.7 kB 2.46% │ ├╴inventory: alloc::boxed::Box<[usize]>
16 B 0.00% │ ╰╴spill: alloc::boxed::Box<[usize]>
8 B 0.00% ├╴n: usize
8 B 0.00% ├╴u: usize
8 B 0.00% ╰╴l: usize
A few binaries make it possible to build and serialize structures with ε-serde
(e.g., rcl, vfunc, and vfilter). Moreover, there are examples benchmarking
the structures (e.g., bench_rear_coded_list, bench_vfunc, and
bench_vfilter). You have to use the feature cli to build them.
The crate has the following features:
rayon: enables support for parallel iterators using therayoncrate (default);flate2: enables support for gzip-compressed files in thelendersmodule (default);zstd: enables support for zstd-compressed files in thelendersmodule (default);deko: enables support for thedekocrate, which provides dynamic detection of compressed files for thelendersmodule;epserde: enables support for ε-serde;serde: enables support for serde;clap: enables theclapcrate for command-line argument parsing;cli: builds the binaries (impliesclap,epserde,deko);mmap: enables support for memory mapping in ε-serde (impliesepserde);aarch64_prefetch: enables prefetch support on aarch64 (requires nightly).
Note: The MemDbg and MemSize traits from the mem_dbg crate are
always available as mem_dbg is a required dependency.
A few benchmarks are available in the benches directory. The ones starting with
bench_ can be just run as usual; for example,
cargo bench --bench bench_vfuncThe sux benchmark, which tests rank and select structures, is instead a CLI
command with options. Try
cargo bench --bench sux -- --helpto see the available tests. For example, with
cargo bench --bench sux -- Rank9 -d 0.5 -l 100000,1000000,10000000you can test the Rank9 structure with a density of 0.5 on a few bit sizes.
Afterwards, you can generate an SVG plot and CSV
data in the plots directory with
./python/plot_benches.py --benches-path ./target/criterion/ --plot-dir plotsYou can then open the plots/plot.svg with a browser to see the results, or
inspect the directory csv for CSV data. Note that as you run benchmarks, the
results will cumulate in the target/criterion directory, so you can generate
plots for multiple runs.
By specifying multiple structures (using also substring matching), you can compare the behavior of different structures. For example,
cargo bench --bench sux -- SelectSmall SelectAdapt0 -d 0.5 -l 100000,1000000,10000000will test all variants of SelectSmall against a SelectAdapt with one (2⁰)
u64 per subinventory. The plot will highlight the differences in performance:
./python/plot_benches.py --benches-path ./target/criterion/ --plot-dir plotsThis software has been partially supported by project SERICS (PE00000014) under the NRRP MUR program funded by the EU - NGEU, and by project ANR COREGRAPHIE, grant ANR-20-CE23-0002 of the French Agence Nationale de la Recherche. Views and opinions expressed are however those of the authors only and do not necessarily reflect those of the European Union or the Italian MUR. Neither the European Union nor the Italian MUR can be held responsible for them.