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* [feature] Read + Write tombstones for deleted Actors * copyTombstone * update to use resultcache instead of old ttl cache Signed-off-by: kim <grufwub@gmail.com> * update go-cache library to fix result cache capacity / ordering bugs Signed-off-by: kim <grufwub@gmail.com> * bump go-cache/v3 to v3.1.6 to fix bugs Signed-off-by: kim <grufwub@gmail.com> * switch on status code * better explain ErrGone reasoning Signed-off-by: kim <grufwub@gmail.com> Co-authored-by: kim <grufwub@gmail.com>
50 lines
1.8 KiB
Markdown
50 lines
1.8 KiB
Markdown
# xxhash
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[![GoDoc](https://godoc.org/github.com/cespare/xxhash?status.svg)](https://godoc.org/github.com/cespare/xxhash)
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xxhash is a Go implementation of the 64-bit
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[xxHash](http://cyan4973.github.io/xxHash/) algorithm, XXH64. This is a
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high-quality hashing algorithm that is much faster than anything in the Go
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standard library.
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The API is very small, taking its cue from the other hashing packages in the
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standard library:
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$ go doc github.com/cespare/xxhash !
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package xxhash // import "github.com/cespare/xxhash"
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Package xxhash implements the 64-bit variant of xxHash (XXH64) as described
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at http://cyan4973.github.io/xxHash/.
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func New() hash.Hash64
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func Sum64(b []byte) uint64
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func Sum64String(s string) uint64
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This implementation provides a fast pure-Go implementation and an even faster
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assembly implementation for amd64.
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## Benchmarks
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Here are some quick benchmarks comparing the pure-Go and assembly
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implementations of Sum64 against another popular Go XXH64 implementation,
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[github.com/OneOfOne/xxhash](https://github.com/OneOfOne/xxhash):
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| input size | OneOfOne | cespare (purego) | cespare |
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| --- | --- | --- | --- |
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| 5 B | 416 MB/s | 720 MB/s | 872 MB/s |
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| 100 B | 3980 MB/s | 5013 MB/s | 5252 MB/s |
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| 4 KB | 12727 MB/s | 12999 MB/s | 13026 MB/s |
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| 10 MB | 9879 MB/s | 10775 MB/s | 10913 MB/s |
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These numbers were generated with:
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```
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$ go test -benchtime 10s -bench '/OneOfOne,'
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$ go test -tags purego -benchtime 10s -bench '/xxhash,'
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$ go test -benchtime 10s -bench '/xxhash,'
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```
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## Projects using this package
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- [InfluxDB](https://github.com/influxdata/influxdb)
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- [Prometheus](https://github.com/prometheus/prometheus)
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