hashmap
query-json
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| hashmap | query-json | |
|---|---|---|
| 8 | 4 | |
| 1,713 | 588 | |
| - | - | |
| 2.9 | 3.8 | |
| 8 months ago | about 1 month ago | |
| Go | Reason | |
| Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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.
hashmap
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SwissMap: A smaller, faster Golang Hash Table
I generally just use this one: https://github.com/cornelk/hashmap
Mostly in that it also gives me lock free performance, which cleans up a lot of defers.
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Go 1.20 Released
Glad to see this make it into the core.
I've been using this library for ages now...
https://github.com/cornelk/hashmap
Always entertains me to see developers write all the lock/unlock code when they could just use that.
- Ask HN: Was it worth it for Go to add generics
- Gojq: Pure Go Implementation of Jq
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HaxMap, a concurrent hashmap faster and more memory-efficient than golang's sync.Map
Pre-allocating would not fix https://github.com/cornelk/hashmap/issues/47 as the bug is in the linked list. This is not grow related but an issue with concurrent Add/Delete on the list.
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A Go implementation of the concurrency control algorithm in paper <Left-Right -A Concurrency Control Technique with Wait-Free Population Oblivious Reads>
Would be interesting to compare with https://github.com/cornelk/hashmap
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how does lock-free (or lockless) hashmap works?
I ran across this library recently - https://github.com/cornelk/hashmap
query-json
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Gojq: Pure Go Implementation of Jq
It's very possible it could be faster; jq seems to actually be fairly unoptimized. This implementation in OCaml was featured on HN a while back and it trashes the original jq in performance: https://github.com/davesnx/query-json
After seeing that one I did my own (less-complete) version in Rust and managed to squeeze out even more performance: https://github.com/brundonsmith/jqr
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query-json: A story of cross-compilation with Reason
You can see more examples in the parsing tests
What are some alternatives?
haxmap - Fastest and most memory efficient golang concurrent hashmap
pq - Like jq, but with Python
go-left-right - A faster RWLock primitive in Go, 2-3 times faster than RWMutex. A Go implementation of concurrency control algorithm in paper <Left-Right - A Concurrency Control Technique with Wait-Free Population Oblivious Reads>
yojson - Low-level JSON parsing and pretty-printing library for OCaml
sonic - A blazingly fast JSON serializing & deserializing library
js_of_ocaml - Compiler from OCaml to Javascript.
jqr
tylr - a tiny tile-based editor
xxHash - Pure Go implementation of xxHash (32 and 64 bits versions)
jsoo-react - js_of_ocaml bindings for ReactJS. Based on ReasonReact.
gojq - Pure Go implementation of jq