readies
Library cluster of common Redis Modules automation code (by RedisLabsModules)
xxHash
Extremely fast non-cryptographic hash algorithm (by Cyan4973)
| readies | xxHash | |
|---|---|---|
| 1 | 28 | |
| 15 | 8,500 | |
| - | - | |
| 8.2 | 8.3 | |
| about 1 month ago | 3 days ago | |
| Python | C | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
readies
Posts with mentions or reviews of readies.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-10-21.
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Getting Started with Redis and RedisGraph
$ git clone https://github.com/RedisGraph/RedisGraph -b v2.4.11 --recurse-submodules -j8 Cloning into 'RedisGraph'... remote: Enumerating objects: 49063, done. remote: Counting objects: 100% (2906/2906), done. remote: Compressing objects: 100% (1082/1082), done. remote: Total 49063 (delta 1998), reused 2448 (delta 1736), pack-reused 46157 Receiving objects: 100% (49063/49063), 39.33 MiB | 114.00 KiB/s, done. Resolving deltas: 100% (38402/38402), done. Submodule 'deps/RediSearch' (https://github.com/RediSearch/RediSearch.git) registered for path 'deps/RediSearch' Submodule 'deps/googletest' (https://github.com/google/googletest.git) registered for path 'deps/googletest' Submodule 'deps/libcypher-parser' (https://github.com/RedisGraph/libcypher-parser.git) registered for path 'deps/libcypher-parser' Submodule 'deps/rax' (https://github.com/antirez/rax.git) registered for path 'deps/rax' Submodule 'deps/readies' (https://github.com/RedisLabsModules/readies.git) registered for path 'deps/readies' Submodule 'deps/xxHash' (https://github.com/Cyan4973/xxHash.git) registered for path 'deps/xxHash' Cloning to '/home/bpdp/master/postdoc-ugm/RedisGraph/deps/RediSearch'... remote: Enumerating objects: 34395, done. remote: Counting objects: 100% (1802/1802), done. remote: Compressing objects: 100% (1097/1097), done. remote: Total 34395 (delta 1150), reused 1182 (delta 696), pack-reused 32593 Receiving objects: 100% (34395/34395), 23.62 MiB | 71.00 KiB/s, done. Resolving deltas: 100% (25261/25261), done. Cloning to '/home/bpdp/master/postdoc-ugm/RedisGraph/deps/rax'... remote: Enumerating objects: 668, done. remote: Counting objects: 100% (25/25), done. remote: Compressing objects: 100% (14/14), done. remote: Total 668 (delta 12), reused 19 (delta 11), pack-reused 643 Receiving objects: 100% (668/668), 236.14 KiB | 1.41 MiB/s, done. Resolving deltas: 100% (414/414), done. Cloning to '/home/bpdp/master/postdoc-ugm/RedisGraph/deps/readies'... remote: Enumerating objects: 2354, done. remote: Counting objects: 100% (833/833), done. remote: Compressing objects: 100% (329/329), done. remote: Total 2354 (delta 608), reused 675 (delta 503), pack-reused 1521 Receiving objects: 100% (2354/2354), 390.69 KiB | 17.00 KiB/s, done. Resolving deltas: 100% (1577/1577), done. Cloning to '/home/bpdp/master/postdoc-ugm/RedisGraph/deps/libcypher-parser'... remote: Enumerating objects: 3250, done. remote: Counting objects: 100% (68/68), done. remote: Compressing objects: 100% (46/46), done. remote: Total 3250 (delta 42), reused 43 (delta 21), pack-reused 3182 Receiving objects: 100% (3250/3250), 2.10 MiB | 28.00 KiB/s, done. Resolving deltas: 100% (2488/2488), done. Cloning to '/home/bpdp/master/postdoc-ugm/RedisGraph/deps/xxHash'... remote: Enumerating objects: 4784, done. remote: Counting objects: 100% (345/345), done. remote: Compressing objects: 100% (188/188), done. remote: Total 4784 (delta 189), reused 255 (delta 143), pack-reused 4439 Receiving objects: 100% (4784/4784), 2.54 MiB | 27.00 KiB/s, done. Resolving deltas: 100% (2922/2922), done. Cloning to '/home/bpdp/master/postdoc-ugm/RedisGraph/deps/googletest'... remote: Enumerating objects: 23334, done. remote: Counting objects: 100% (234/234), done. remote: Compressing objects: 100% (142/142), done. remote: Total 23334 (delta 120), reused 146 (delta 81), pack-reused 23100 Receiving objects: 100% (23334/23334), 9.49 MiB | 44.00 KiB/s, done. Resolving deltas: 100% (17191/17191), done. Submodule path 'deps/RediSearch': checked out '68430b3c838374478dd9ffe4e361534f572b16ff' Submodule 'deps/googletest' (https://github.com/google/googletest.git) registered for path 'deps/RediSearch/deps/googletest' Submodule 'deps/readies' (https://github.com/RedisLabsModules/readies.git) registered for path 'deps/RediSearch/deps/readies' Cloning to '/home/bpdp/master/postdoc-ugm/RedisGraph/deps/RediSearch/deps/googletest'... remote: Enumerating objects: 23334, done. remote: Counting objects: 100% (234/234), done. remote: Compressing objects: 100% (148/148), done. remote: Total 23334 (delta 120), reused 141 (delta 75), pack-reused 23100 Receiving objects: 100% (23334/23334), 9.56 MiB | 1.05 MiB/s, done. Resolving deltas: 100% (17185/17185), done. Kloning ke '/home/bpdp/master/postdoc-ugm/RedisGraph/deps/RediSearch/deps/readies'... remote: Enumerating objects: 2354, done. remote: Counting objects: 100% (833/833), done. remote: Compressing objects: 100% (329/329), done. remote: Total 2354 (delta 608), reused 675 (delta 503), pack-reused 1521 Receiving objects: 100% (2354/2354), 390.69 KiB | 853.00 KiB/s, done. Resolving deltas: 100% (1577/1577), done. Submodule path 'deps/RediSearch/deps/googletest': checked out 'dea0216d0c6bc5e63cf5f6c8651cd268668032ec' Submodule path 'deps/RediSearch/deps/readies': checked out '89be267427c7dfcfaab4064942ef0f595f6b1fa3' Submodule path 'deps/googletest': checked out '565f1b848215b77c3732bca345fe76a0431d8b34' Submodule path 'deps/libcypher-parser': checked out '38cdee1867b18644616292c77fe2ac1f2b179537' Submodule path 'deps/rax': checked out 'ba4529f6c836c9ff1296cde12b8557329f5530b7' Submodule path 'deps/readies': checked out 'd59f3ad4e9b3d763eb41df07567111dc94c6ecac' Submodule path 'deps/xxHash': checked out '726c14000ca73886f6258a6998fb34dd567030e9' $
xxHash
Posts with mentions or reviews of xxHash.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-13.
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The One Billion Row Challenge in CUDA: from 17 minutes to 17 seconds
> GPU Hash Table?
How bad would performance have suffered if you sha256'd the lines to build the map? I'm going to guess "badly"?
Maybe something like this in CUDA: https://github.com/Cyan4973/xxHash ?
- ETag and HTTP Caching
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Day 64: Implementing a basic Bloom Filter Using Java BitSet api
Examples of fast, simple hashes that are independent enough includes murmur, xxHash, Fowler–Noll–Vo hash function and many others
- Closed-addressing hashtables implementation
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NIST Retires SHA-1 Cryptographic Algorithm
If you're only using the hash for non-cryptographic applications, there are much faster hashes: https://github.com/Cyan4973/xxHash
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Does the checksum algorithm crc32c-intel support AMD Ryzen series 3000 or newer?
I found the benchmark result of AMD ryzen 5950X
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[Study Project] A memory-optimized JSON data structure
But what's the catch, you're thinking ? Well, it is a bit slower than its counterparts when it comes to deserializing (and marginally faster for serializing). To achieve smaller footprint, it uses a few tricks and notably a custom hash table to deduplicate strings. This comes at a cost of course (even when featuring xxHash to speed things up), but keeps the slowdown reasonable (I think).
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What do you typically use for non-cryptographic hash functions?
Non cryptographic hashes has collisions, for example, assume you having content like "abcdefg" which hashed value is "123", in case of weak hash algorithm some other content like "abcdefZ" can also have a hash "123" which basically means such hash function is failed to be unique fingerprint of particular content. BLAKE3 for example can do 6-7Gb/s which make it pretty fast and secure. If your requirement accepts collision with defined error rate, I would advise you to take a look at XXH3 if you need very snappy hash algorithm, which can run at pace or RAM access (30GB/s+), but again, run tests at particular equipment you targeting, may be AES hardware accelerated MeowHash will serve you better.
- C++ gonna die😥
- rsync, article 3: How does rsync work?
What are some alternatives?
When comparing readies and xxHash you can also consider the following projects:
RediSearch - A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.
BLAKE3 - the official Rust and C implementations of the BLAKE3 cryptographic hash function
RedisGraph - A graph database as a Redis module
meow_hash - Official version of the Meow hash, an extremely fast level 1 hash
rax - A radix tree implementation in ANSI C
xxh - 🚀 Bring your favorite shell wherever you go through the ssh. Xonsh shell, fish, zsh, osquery and so on.
janusgraph - JanusGraph: an open-source, distributed graph database
blake3 - An AVX-512 accelerated implementation of the BLAKE3 cryptographic hash function
PostgreSQL - Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch
smhasher - Hash function quality and speed tests
yugabyte-db - YugabyteDB - the cloud native distributed SQL database for mission-critical applications.
swift-crypto - Open-source implementation of a substantial portion of the API of Apple CryptoKit suitable for use on Linux platforms.