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A very compact representation of a placeholder for an image.
Automatically exported from code.google.com/p/cityhash
Automatically exported from code.google.com/p/smhasher
Superfast compression library
Zstandard - Fast real-time compression algorithm
Quick Overview
xxHash is an extremely fast non-cryptographic hash algorithm, working at speeds close to RAM limits. It is designed for speed on both 32-bit and 64-bit systems and has been thoroughly tested for reliability. The algorithm is available in both 32-bit and 64-bit versions, known as XXH32 and XXH64 respectively.
Pros
- Exceptionally fast, often outperforming other non-cryptographic hash functions
- Provides both 32-bit and 64-bit hash variants
- Well-tested and reliable across various platforms
- Offers a simple API for easy integration
Cons
- Not suitable for cryptographic purposes due to its non-cryptographic nature
- May require additional steps for big-endian architectures
- Limited to 64-bit hash sizes at maximum (compared to some other algorithms that offer larger sizes)
Code Examples
- Basic usage of XXH64:
#include "xxhash.h"
const char* input = "Hello, World!";
XXH64_hash_t hash = XXH64(input, strlen(input), 0);
printf("Hash: %llx\n", hash);
- Streaming API for large inputs:
XXH64_state_t* state = XXH64_createState();
XXH64_reset(state, 0);
XXH64_update(state, chunk1, chunk1_len);
XXH64_update(state, chunk2, chunk2_len);
XXH64_hash_t hash = XXH64_digest(state);
XXH64_freeState(state);
- Using the oneshot function with a seed:
const void* input = some_data;
size_t length = data_length;
unsigned long long seed = 0xCBF29CE484222325ULL;
XXH64_hash_t hash = XXH64(input, length, seed);
Getting Started
To use xxHash in your project:
- Download the xxHash source from the GitHub repository.
- Include
xxhash.h
in your project. - Compile
xxhash.c
along with your source files.
For a simple example:
#include "xxhash.h"
#include <stdio.h>
#include <string.h>
int main() {
const char* input = "Test input";
XXH64_hash_t hash = XXH64(input, strlen(input), 0);
printf("Hash: %llx\n", hash);
return 0;
}
Compile with: gcc -o example example.c xxhash.c
Competitor Comparisons
A very compact representation of a placeholder for an image.
Pros of BlurHash
- Designed specifically for image placeholder generation, providing visually appealing blurred representations
- Supports multiple programming languages and platforms
- Generates compact, URL-safe strings for easy storage and transmission
Cons of BlurHash
- Limited to image-related use cases, not suitable for general-purpose hashing
- May have higher computational overhead for encoding/decoding compared to xxHash
- Less widely adopted in the developer community
Code Comparison
BlurHash (Swift):
let blurHash = "LEHV6nWB2yk8pyo0adR*.7kCMdnj"
let image = UIImage(blurHash: blurHash, size: CGSize(width: 32, height: 32))
xxHash (C):
XXH64_hash_t hash = XXH64(data, length, seed);
Key Differences
- BlurHash focuses on visual representation, while xxHash is a fast non-cryptographic hash function
- BlurHash output is human-readable and visually meaningful, xxHash produces numeric hash values
- xxHash is more versatile for general hashing needs, while BlurHash is specialized for image placeholders
- BlurHash has a larger codebase due to its specific functionality, xxHash is more compact and focused
Automatically exported from code.google.com/p/cityhash
Pros of CityHash
- Optimized for x86-64 architecture, potentially offering better performance on compatible systems
- Provides multiple hash functions with different output sizes (32, 64, 128, and 256 bits)
- Well-established and widely used in Google's infrastructure
Cons of CityHash
- Less portable across different architectures compared to xxHash
- Not as actively maintained, with fewer recent updates
- Generally slower than xxHash on most platforms
Code Comparison
CityHash:
uint64_t CityHash64(const char *buf, size_t len) {
if (len <= 32) {
if (len <= 16) {
return HashLen0to16(buf, len);
} else {
return HashLen17to32(buf, len);
}
}
// ... (additional code)
}
xxHash:
XXH64_hash_t XXH64(const void* input, size_t length, XXH64_hash_t seed) {
if (input==NULL) return XXH64_EMPTY_SECRET;
if (length >= 32) {
return XXH64_internal_loop(input, length, seed);
}
return XXH64_small(input, length, seed);
}
Both hash functions use different approaches for small input sizes, with xxHash appearing more straightforward in its implementation.
Automatically exported from code.google.com/p/smhasher
Pros of SMHasher
- Comprehensive test suite for hash functions
- Supports multiple hash algorithms for comparison
- Useful for evaluating and benchmarking hash function quality
Cons of SMHasher
- Less focused on a single, optimized hash algorithm
- Not as actively maintained as xxHash
- May have lower performance for specific use cases
Code Comparison
SMHasher (test implementation):
void BulkSpeedTest(HashInfo* info)
{
const int trials = 100;
const int blocksize = 2048;
uint8_t * block = new uint8_t[blocksize];
memset(block,0,blocksize);
//...
}
xxHash (core hashing function):
XXH_FORCE_INLINE XXH64_hash_t XXH64_round(XXH64_hash_t acc, XXH64_hash_t input)
{
acc += input * XXH_PRIME64_2;
acc = XXH_rotl64(acc, 31);
acc *= XXH_PRIME64_1;
return acc;
}
Summary
SMHasher is a comprehensive test suite for hash functions, offering a wide range of tests and comparisons for multiple algorithms. It's valuable for evaluating hash function quality and performance. However, it's less focused on a single, optimized algorithm compared to xxHash, which prioritizes speed and efficiency for its specific hash function. xxHash is more actively maintained and may offer better performance for certain use cases. The code comparison shows SMHasher's focus on testing methodology, while xxHash emphasizes optimized hashing operations.
Superfast compression library
Pros of density
- Focuses on compression rather than hashing, offering data reduction capabilities
- Provides both compression and decompression functionality
- Designed for high-speed operation, potentially faster for certain use cases
Cons of density
- Less widely adopted and tested compared to xxHash
- May have a larger memory footprint due to compression algorithms
- Potentially more complex to integrate and use for simple hashing tasks
Code comparison
xxHash:
XXH64_hash_t hash = XXH64(data, length, seed);
density:
density_processing_result result;
density_compress(&compress_state, input, input_size, output, output_size, &result);
Summary
While xxHash is primarily a fast non-cryptographic hashing algorithm, density focuses on high-speed compression and decompression. xxHash is more suitable for tasks like checksumming and hash tables, while density is better for reducing data size while maintaining speed. xxHash has a simpler API and is more widely adopted, but density offers additional functionality for applications requiring data compression. The choice between the two depends on the specific requirements of the project, with xxHash being more appropriate for simple hashing needs and density for compression-oriented tasks.
Zstandard - Fast real-time compression algorithm
Pros of zstd
- Offers both compression and decompression, while xxHash is only a hashing algorithm
- Generally provides better compression ratios than other popular algorithms like zlib
- Includes a dictionary compression feature for improved efficiency with small files
Cons of zstd
- Larger codebase and more complex implementation compared to xxHash's simplicity
- Slightly slower performance for small data sizes due to its comprehensive nature
- Requires more memory usage during compression/decompression processes
Code Comparison
xxHash (simple hash function):
XXH64_hash_t XXH64(const void* input, size_t length, XXH64_hash_t seed);
zstd (compression function):
size_t ZSTD_compress(void* dst, size_t dstCapacity,
const void* src, size_t srcSize,
int compressionLevel);
Summary
While xxHash focuses on fast non-cryptographic hashing, zstd provides a full-featured compression library. xxHash is simpler and faster for small data, while zstd offers better compression ratios and more advanced features at the cost of increased complexity and resource usage.
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xxHash - Extremely fast 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 :
- XXH32 : generates 32-bit hashes, using 32-bit arithmetic
- XXH64 : generates 64-bit hashes, using 64-bit arithmetic
- XXH3 (since
v0.8.0
): generates 64 or 128-bit hashes, using vectorized arithmetic. The 128-bit variant is called XXH128.
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 |
Benchmarks
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.
Small data
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-
Quality
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.
Build modifiers
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 functionsinline
, implementation is directly included withinxxhash.h
. Inlining functions is beneficial for speed, notably for small keys. It's extremely effective when key's length is expressed as a compile time constant, with performance improvements observed in the +200% range . See this article for details.XXH_PRIVATE_API
: same outcome asXXH_INLINE_ALL
. Still available for legacy support. The name underlines thatXXH_*
symbol names will not be exported.XXH_STATIC_LINKING_ONLY
: gives access to internal state declaration, required for static allocation. Incompatible with dynamic linking, due to risks of ABI changes.XXH_NAMESPACE
: Prefixes all symbols with the value ofXXH_NAMESPACE
. This macro can only use compilable character set. Useful to evade symbol naming collisions, in case of multiple inclusions of xxHash's source code. Client applications still use the regular function names, as symbols are automatically translated throughxxhash.h
.XXH_FORCE_ALIGN_CHECK
: Use a faster direct read path when input is aligned. This option can result in dramatic performance improvement on architectures unable to load memory from unaligned addresses when input to hash happens to be aligned on 32 or 64-bit boundaries. It is (slightly) detrimental on platform with good unaligned memory access performance (same instruction for both aligned and unaligned accesses). This option is automatically disabled onx86
,x64
andaarch64
, and enabled on all other platforms.XXH_FORCE_MEMORY_ACCESS
: The default method0
uses a portablememcpy()
notation. Method1
uses a gcc-specificpacked
attribute, which can provide better performance for some targets. Method2
forces unaligned reads, which is not standard compliant, but might sometimes be the only way to extract better read performance. Method3
uses a byteshift operation, which is best for old compilers which don't inlinememcpy()
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. If, for some reason, the compiler cannot simplify the runtime test, it can cost performance. It's possible to skip auto-detection and simply state that the architecture is little-endian by setting this macro to 1. Setting it to 0 states big-endian.XXH_ENABLE_AUTOVECTORIZE
: Auto-vectorization may be triggered for XXH32 and XXH64, depending on cpu vector capabilities and compiler version. Note: auto-vectorization tends to be triggered more easily with recent versions ofclang
. For XXH32, SSE4.1 or equivalent (NEON) is enough, while XXH64 requires AVX512. Unfortunately, auto-vectorization is generally detrimental to XXH performance. For this reason, the xxhash source code tries to prevent auto-vectorization by default. That being said, systems evolve, and this conclusion is not forthcoming. For example, it has been reported that recent Zen4 cpus are more likely to improve performance with vectorization. Therefore, should you prefer or want to test vectorized code, you can enable this flag: it will remove the no-vectorization protection code, thus making it more likely for XXH32 and XXH64 to be auto-vectorized.XXH32_ENDJMP
: Switch multi-branch finalization stage of XXH32 by a single jump. This is generally undesirable for performance, especially when hashing inputs of random sizes. But depending on exact architecture and compiler, a jump might provide slightly better performance on small inputs. Disabled by default.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, notablymalloc()
andfree()
.libxxhash
'sXXH*_createState()
will always fail and returnNULL
. But one-shot hashing (likeXXH32()
) or streaming using statically allocated states still work as expected. This build flag is useful for embedded environments without dynamic allocation.XXH_DEBUGLEVEL
: When set to any value >= 1, enablesassert()
statements. This (slightly) slows down execution, but may help finding bugs during debugging sessions.
Binary size control
XXH_NO_XXH3
: removes symbols related toXXH3
(both 64 & 128 bits) from generated binary.XXH3
is by far the largest contributor tolibxxhash
size, so it's useful to reduce binary size for applications which do not employXXH3
.XXH_NO_LONG_LONG
: removes compilation of algorithms relying on 64-bitlong long
types which includeXXH3
andXXH64
. OnlyXXH32
will be compiled. Useful for targets (architectures and compilers) without 64-bit support.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. Defining this macro to 1 will mark all internal functions asstatic
, allowing the compiler to decide whether to inline a function or not. This is very useful when optimizing for smallest binary size, and is automatically defined when compiling with-O0
,-Os
,-Oz
, or-fno-inline
on GCC and Clang. This might also increase performance depending on compiler and architecture.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 cry
Build modifiers specific for XXH3
XXH_VECTOR
: manually select a vector instruction set (default: auto-selected at compilation time). Available instruction sets areXXH_SCALAR
,XXH_SSE2
,XXH_AVX2
,XXH_AVX512
,XXH_NEON
andXXH_VSX
. Compiler may require additional flags to ensure proper support (for example,gcc
on x86_64 requires-mavx2
forAVX2
, or-mavx512f
forAVX512
).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.
Makefile variables
When compiling the Command Line Interface xxhsum
using make
, the following environment variables can also be set :
DISPATCH=1
: usexxh_x86dispatch.c
, to automatically select betweenscalar
,sse2
,avx2
oravx512
instruction set at runtime, depending on local host. This option is only valid forx86
/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 compilingxxhsum
for Node.js with Emscripten, this links theNODERAWFS
library for unrestricted filesystem access and patchesisatty
to make the command line utility correctly detect the terminal. This does make the binary specific to Node.js.
Building xxHash - Using vcpkg
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.
Example
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;
}
License
The library files xxhash.c
and xxhash.h
are BSD licensed.
The utility xxhsum
is GPL licensed.
Other programming languages
Beyond the C reference version, xxHash is also available from many different programming languages, thanks to great contributors. They are listed here.
Packaging status
Many distributions bundle a package manager
which allows easy xxhash installation as both a libxxhash
library
and xxhsum
command line interface.
Special Thanks
- Takayuki Matsuoka, aka @t-mat, for creating
xxhsum -c
and great support during early xxh releases - Mathias Westerdahl, aka @JCash, for introducing the first version of
XXH64
- Devin Hussey, aka @easyaspi314, for incredible low-level optimizations on
XXH3
andXXH128
Top Related Projects
A very compact representation of a placeholder for an image.
Automatically exported from code.google.com/p/cityhash
Automatically exported from code.google.com/p/smhasher
Superfast compression library
Zstandard - Fast real-time compression algorithm
Convert designs to code with AI
Introducing Visual Copilot: A new AI model to turn Figma designs to high quality code using your components.
Try Visual Copilot