unordered_dense
hashtable-benchmarks
unordered_dense | hashtable-benchmarks | |
---|---|---|
12 | 8 | |
730 | 29 | |
- | - | |
7.1 | 4.7 | |
24 days ago | 5 months ago | |
C++ | Java | |
MIT License | Apache License 2.0 |
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unordered_dense
- unordered_dense: A Fast & Densely Stored Hashmap And Hashset Based On Robin-Hood Backward Shift Deletion
- unordered_dense: A fast, densely stored hashmap based on backward shift deletion
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boost::unordered standalone
That's deprecated. Use https://github.com/martinus/unordered_dense instead And yes, tell use if it's any better(it should)
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Is there an accepted way to order qualifiers?
No, I've deprecated it because the code has become a mess, I rewrote it quite differently and with much higher code quality and more features here: https://github.com/martinus/unordered_dense
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Effortless Performance Improvements in C++: std::unordered_map
When no ordering is necessary and the number of elements is larger than 20, nothing beats https://github.com/martinus/unordered_dense (for general use).
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Effortless Performance Improvements in C++: std:unordered_map
https://github.com/martinus/unordered_dense
Check this one out, it's a successor to this idea. Boost also introduced a very performant flat_hash_map in 1.81
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Fuzzing is Cool, Actually
I have an API fuzz test for a hash map here: https://github.com/martinus/unordered_dense/blob/main/test/fuzz/api.cpp
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A container with set interface based on std::vector
That sounds a bit like ankerl::unordered_dense::set: https://github.com/martinus/unordered_dense
- Inside boost::unordered_flat_map
- martinus/unordered_dense v1.4.0: A fast & densely stored hashmap, Now with heterogeneous overloads
hashtable-benchmarks
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Building a faster hash table for high performance SQL joins
Since the blog post mentioned a PR to replace linear probing with Robin Hood, I just wanted to mention that I found bidirectional linear probing to outperform Robin Hood across the board in my Java integer set benchmarks:
https://github.com/senderista/hashtable-benchmarks/blob/mast...
https://github.com/senderista/hashtable-benchmarks/wiki/64-b...
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Ask HN: Who wants to be hired? (December 2023)
https://homes.cs.washington.edu/~magda/papers/wang-cidr17.pd...
I'm most interested in developing high-performance database engines in low-level languages, but open to any challenging systems programming project. I've been working in C++ for the last 3 years, but have written nontrivial projects in Rust and Java as well (e.g., https://github.com/senderista/rotated-array-set, https://github.com/senderista/hashtable-benchmarks). I would enjoy using Rust or Zig on a new project, but I consider the project itself to be much more important than the language it's written in. I am not interested in cryptocurrency, adtech, or fintech projects.
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Factor is faster than Zig
Thanks for the details on your benchmarks. I would like sometime to extend BLP to a more generic setting; as I said I think any trick used with RH would also work with BLP. I just used an integer set because that's all I needed for my use case and it was easy to implement several different approaches for benchmarking. As you note, it favors use cases where the hash function is cheap (or invertible) and elements are cheap to move around.
About your question on load factors: no, the benchmarks are measuring exactly what they claim to be. The hash table constructor divides max data size by load factor to get the table size (https://github.com/senderista/hashtable-benchmarks/blob/mast...), and the benchmark code instantiates each hash table for exactly the measured data set size and load factor (https://github.com/senderista/hashtable-benchmarks/blob/mast...).
I can't explain the peaks around 1M in many of the plots; I didn't investigate them at the time and I don't have time now. It could be a JVM artifact, but I did try to use JMH "best practices", and there's no dynamic memory allocation or GC happening during the benchmark at all. It would be interesting to port these tables to Rust and repeat the measurements with Criterion. For more informative graphs I might try a log-linear approach: divide the intervals between the logarithmically spaced data sizes into a fixed number of subintervals (say 4).
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Inside boost::unordered_flat_map
I think "bidirectional linear probing" is an underrated approach (and much simpler): https://github.com/senderista/hashtable-benchmarks/blob/master/src/main/java/set/int64/BLPLongHashSet.java
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A fast & densely stored hashmap and hashset based on robin-hood backward shift deletion
I will probably never get around to porting my bidirectional linear probing integer hash set from Java to C++, but I hope someone can try adapting BLP to general C++ hashmaps and hashsets, because it significantly outperforms Robin Hood in my benchmarks.
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Ask HN: Who wants to be hired? (March 2022)
https://homes.cs.washington.edu/~magda/papers/wang-cidr17.pd...
I'm most interested in developing high-performance database engines in low-level languages, but open to any challenging systems programming project. I've been working in C++ for the last 2 years, but have written nontrivial projects in Rust and Java as well (e.g., https://github.com/senderista/rotated-array-set, https://github.com/senderista/hashtable-benchmarks). I would enjoy using Rust or Zig on a new project, but I consider the project itself to be much more important than the language it's written in. I am not interested in cryptocurrency, adtech, or fintech projects.
What are some alternatives?
robin-map - C++ implementation of a fast hash map and hash set using robin hood hashing
myria - Myria is a scalable Analytics-as-a-Service platform based on relational algebra.
STC - A modern, user friendly, generic, type-safe and fast C99 container library: String, Vector, Sorted and Unordered Map and Set, Deque, Forward List, Smart Pointers, Bitset and Random numbers.
js2scheme
robin-hood-hashing - Fast & memory efficient hashtable based on robin hood hashing for C++11/14/17/20
flat_hash_map - A very fast hashtable
unordered - Boost.org unordered module
nafeez.xyz - ⚡ My personal website.
parallel-hashmap - A family of header-only, very fast and memory-friendly hashmap and btree containers.
Personal-Site-Gourav.io - My personal site & blog made with NextJS, Typescript, Tailwind CSS, MDX, Notion as CMS. Deployed on Vercel : https://gourav.io