Extremely fast non-cryptographic hash algorithm
xxHash is an Extremely fast Hash algorithm, processing at RAM speed limits.
Code is highly portable, and produces hashes identical across all platforms (little / big endian).
The library includes the following algorithms :
v0.8.0
): generates 64 or 128-bit hashes, using vectorized arithmetic.All variants successfully complete the SMHasher test suite
which evaluates the quality of hash functions (collision, dispersion and randomness).
Additional tests, which evaluate more thoroughly speed and collision properties of 64-bit hashes, are also provided.
Branch | Status |
---|---|
release | |
dev |
The benchmarked reference system uses an Intel i7-9700K cpu, and runs Ubuntu x64 20.04.
The open source benchmark program is compiled with clang
v10.0 using -O3
flag.
Hash Name | Width | Bandwidth (GB/s) | Small Data Velocity | Quality | Comment |
---|---|---|---|---|---|
XXH3 (SSE2) | 64 | 31.5 GB/s | 133.1 | 10 | |
XXH128 (SSE2) | 128 | 29.6 GB/s | 118.1 | 10 | |
RAM sequential read | N/A | 28.0 GB/s | N/A | N/A | for reference |
City64 | 64 | 22.0 GB/s | 76.6 | 10 | |
T1ha2 | 64 | 22.0 GB/s | 99.0 | 9 | Slightly worse collisions |
City128 | 128 | 21.7 GB/s | 57.7 | 10 | |
XXH64 | 64 | 19.4 GB/s | 71.0 | 10 | |
SpookyHash | 64 | 19.3 GB/s | 53.2 | 10 | |
Mum | 64 | 18.0 GB/s | 67.0 | 9 | Slightly worse collisions |
XXH32 | 32 | 9.7 GB/s | 71.9 | 10 | |
City32 | 32 | 9.1 GB/s | 66.0 | 10 | |
Murmur3 | 32 | 3.9 GB/s | 56.1 | 10 | |
SipHash | 64 | 3.0 GB/s | 43.2 | 10 | |
FNV64 | 64 | 1.2 GB/s | 62.7 | 5 | Poor avalanche properties |
Blake2 | 256 | 1.1 GB/s | 5.1 | 10 | Cryptographic |
SHA1 | 160 | 0.8 GB/s | 5.6 | 10 | Cryptographic but broken |
MD5 | 128 | 0.6 GB/s | 7.8 | 10 | Cryptographic but broken |
note 1: Small data velocity is a rough evaluation of algorithm’s efficiency on small data. For more detailed analysis, please refer to next paragraph.
note 2: some algorithms feature faster than RAM speed. In which case, they can only reach their full speed potential when input is already in CPU cache (L3 or better). Otherwise, they max out on RAM speed limit.
Performance on large data is only one part of the picture.
Hashing is also very useful in constructions like hash tables and bloom filters.
In these use cases, it’s frequent to hash a lot of small data (starting at a few bytes).
Algorithm’s performance can be very different for such scenarios, since parts of the algorithm,
such as initialization or finalization, become fixed cost.
The impact of branch mis-prediction also becomes much more present.
XXH3 has been designed for excellent performance on both long and small inputs,
which can be observed in the following graph:
For a more detailed analysis, please visit the wiki :
https://github.com/Cyan4973/xxHash/wiki/Performance-comparison#benchmarks-concentrating-on-small-data-
Speed is not the only property that matters.
Produced hash values must respect excellent dispersion and randomness properties,
so that any sub-section of it can be used to maximally spread out a table or index,
as well as reduce the amount of collisions to the minimal theoretical level, following the birthday paradox.
xxHash
has been tested with Austin Appleby’s excellent SMHasher test suite,
and passes all tests, ensuring reasonable quality levels.
It also passes extended tests from newer forks of SMHasher, featuring additional scenarios and conditions.
Finally, xxHash provides its own massive collision tester,
able to generate and compare billions of hashes to test the limits of 64-bit hash algorithms.
On this front too, xxHash features good results, in line with the birthday paradox.
A more detailed analysis is documented in the wiki.
The following macros can be set at compilation time to modify libxxhash
’s behavior. They are generally disabled by default.
XXH_INLINE_ALL
: Make all functions inline
, implementation is directly included within xxhash.h
.XXH_PRIVATE_API
: same outcome as XXH_INLINE_ALL
. Still available for legacy support.XXH_*
symbol names will not be exported.XXH_STATIC_LINKING_ONLY
: gives access to internal state declaration, required for static allocation.XXH_NAMESPACE
: Prefixes all symbols with the value of XXH_NAMESPACE
.xxhash.h
.XXH_FORCE_ALIGN_CHECK
: Use a faster direct read path when input is aligned.x86
, x64
and aarch64
, and enabled on all other platforms.XXH_FORCE_MEMORY_ACCESS
: The default method 0
uses a portable memcpy()
notation.1
uses a gcc-specific packed
attribute, which can provide better performance for some targets.2
forces unaligned reads, which is not standard compliant, but might sometimes be the only way to extract better read performance.3
uses a byteshift operation, which is best for old compilers which don’t inline memcpy()
or big-endian systems without a byteswap instruction.XXH_CPU_LITTLE_ENDIAN
: By default, endianness is determined by a runtime test resolved at compile time.XXH_ENABLE_AUTOVECTORIZE
: Auto-vectorization may be triggered for XXH32 and XXH64, depending on cpu vector capabilities and compiler version.clang
.XXH32_ENDJMP
: Switch multi-branch finalization stage of XXH32 by a single jump.XXH_IMPORT
: MSVC specific: should only be defined for dynamic linking, as it prevents linkage errors.XXH_NO_STDLIB
: Disable invocation of <stdlib.h>
functions, notably malloc()
and free()
.libxxhash
’s XXH*_createState()
will always fail and return NULL
.XXH32()
) or streaming using statically allocated statesXXH_DEBUGLEVEL
: When set to any value >= 1, enables assert()
statements.XXH_NO_XXH3
: removes symbols related to XXH3
(both 64 & 128 bits) from generated binary.XXH3
is by far the largest contributor to libxxhash
size,XXH3
.XXH_NO_LONG_LONG
: removes compilation of algorithms relying on 64-bit long long
typesXXH3
and XXH64
.XXH32
will be compiled.XXH_NO_STREAM
: Disables the streaming API, limiting the library to single shot variants only.XXH_NO_INLINE_HINTS
: By default, xxHash uses __attribute__((always_inline))
and __forceinline
to improve performance at the cost of code size.static
, allowing the compiler to decide whether to inline a function or not.-O0
, -Os
, -Oz
, or -fno-inline
on GCC and Clang.XXH_SIZE_OPT
: 0
: default, optimize for speed1
: default for -Os
and -Oz
: disables some speed hacks for size optimization2
: makes code as small as possible, performance may cryXXH_VECTOR
: manually select a vector instruction set (default: auto-selected at compilation time). Available instruction sets are XXH_SCALAR
, XXH_SSE2
, XXH_AVX2
, XXH_AVX512
, XXH_NEON
and XXH_VSX
. Compiler may require additional flags to ensure proper support (for example, gcc
on x86_64 requires -mavx2
for AVX2
, or -mavx512f
for AVX512
).XXH_PREFETCH_DIST
: select prefetching distance. For close-to-metal adaptation to specific hardware platforms. XXH3 only.XXH_NO_PREFETCH
: disable prefetching. Some platforms or situations may perform better without prefetching. XXH3 only.When compiling the Command Line Interface xxhsum
using make
, the following environment variables can also be set :
DISPATCH=1
: use xxh_x86dispatch.c
, to automatically select between scalar
, sse2
, avx2
or avx512
instruction set at runtime, depending on local host. This option is only valid for x86
/x64
systems.XXH_1ST_SPEED_TARGET
: select an initial speed target, expressed in MB/s, for the first speed test in benchmark mode. Benchmark will adjust the target at subsequent iterations, but the first test is made “blindly” by targeting this speed. Currently conservatively set to 10 MB/s, to support very slow (emulated) platforms.NODE_JS=1
: When compiling xxhsum
for Node.js with Emscripten, this links the NODERAWFS
library for unrestricted filesystem access and patches isatty
to make the command line utility correctly detect the terminal. This does make the binary specific to Node.js.You can download and install xxHash using the vcpkg dependency manager:
git clone https://github.com/Microsoft/vcpkg.git
cd vcpkg
./bootstrap-vcpkg.sh
./vcpkg integrate install
./vcpkg install xxhash
The xxHash port in vcpkg is kept up to date by Microsoft team members and community contributors. If the version is out of date, please create an issue or pull request on the vcpkg repository.
The simplest example calls xxhash 64-bit variant as a one-shot function
generating a hash value from a single buffer, and invoked from a C/C++ program:
#include "xxhash.h"
(...)
XXH64_hash_t hash = XXH64(buffer, size, seed);
}
Streaming variant is more involved, but makes it possible to provide data incrementally:
#include "stdlib.h" /* abort() */
#include "xxhash.h"
XXH64_hash_t calcul_hash_streaming(FileHandler fh)
{
/* create a hash state */
XXH64_state_t* const state = XXH64_createState();
if (state==NULL) abort();
size_t const bufferSize = SOME_SIZE;
void* const buffer = malloc(bufferSize);
if (buffer==NULL) abort();
/* Initialize state with selected seed */
XXH64_hash_t const seed = 0; /* or any other value */
if (XXH64_reset(state, seed) == XXH_ERROR) abort();
/* Feed the state with input data, any size, any number of times */
(...)
while ( /* some data left */ ) {
size_t const length = get_more_data(buffer, bufferSize, fh);
if (XXH64_update(state, buffer, length) == XXH_ERROR) abort();
(...)
}
(...)
/* Produce the final hash value */
XXH64_hash_t const hash = XXH64_digest(state);
/* State could be re-used; but in this example, it is simply freed */
free(buffer);
XXH64_freeState(state);
return hash;
}
The library files xxhash.c
and xxhash.h
are BSD licensed.
The utility xxhsum
is GPL licensed.
Beyond the C reference version,
xxHash is also available from many different programming languages,
thanks to great contributors.
They are listed here.
Many distributions bundle a package manager
which allows easy xxhash installation as both a libxxhash
library
and xxhsum
command line interface.
xxhsum -c
and great support during early xxh releasesXXH64
XXH3
and XXH128