forked from mirrors/gotosocial
9d0df426da
* feat: vendor minio client * feat: introduce storage package with s3 support * feat: serve s3 files directly this saves a lot of bandwith as the files are fetched from the object store directly * fix: use explicit local storage in tests * feat: integrate s3 storage with the main server * fix: add s3 config to cli tests * docs: explicitly set values in example config also adds license header to the storage package * fix: use better http status code on s3 redirect HTTP 302 Found is the best fit, as it signifies that the resource requested was found but not under its presumed URL 307/TemporaryRedirect would mean that this resource is usually located here, not in this case 303/SeeOther indicates that the redirection does not link to the requested resource but to another page * refactor: use context in storage driver interface
113 lines
5.5 KiB
Markdown
113 lines
5.5 KiB
Markdown
# Globally Unique ID Generator
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[](https://godoc.org/github.com/rs/xid) [](https://raw.githubusercontent.com/rs/xid/master/LICENSE) [](https://travis-ci.org/rs/xid) [](http://gocover.io/github.com/rs/xid)
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Package xid is a globally unique id generator library, ready to be used safely directly in your server code.
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Xid is using Mongo Object ID algorithm to generate globally unique ids with a different serialization (base64) to make it shorter when transported as a string:
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https://docs.mongodb.org/manual/reference/object-id/
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- 4-byte value representing the seconds since the Unix epoch,
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- 3-byte machine identifier,
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- 2-byte process id, and
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- 3-byte counter, starting with a random value.
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The binary representation of the id is compatible with Mongo 12 bytes Object IDs.
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The string representation is using base32 hex (w/o padding) for better space efficiency
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when stored in that form (20 bytes). The hex variant of base32 is used to retain the
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sortable property of the id.
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Xid doesn't use base64 because case sensitivity and the 2 non alphanum chars may be an
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issue when transported as a string between various systems. Base36 wasn't retained either
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because 1/ it's not standard 2/ the resulting size is not predictable (not bit aligned)
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and 3/ it would not remain sortable. To validate a base32 `xid`, expect a 20 chars long,
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all lowercase sequence of `a` to `v` letters and `0` to `9` numbers (`[0-9a-v]{20}`).
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UUIDs are 16 bytes (128 bits) and 36 chars as string representation. Twitter Snowflake
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ids are 8 bytes (64 bits) but require machine/data-center configuration and/or central
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generator servers. xid stands in between with 12 bytes (96 bits) and a more compact
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URL-safe string representation (20 chars). No configuration or central generator server
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is required so it can be used directly in server's code.
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| Name | Binary Size | String Size | Features
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|-------------|-------------|----------------|----------------
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| [UUID] | 16 bytes | 36 chars | configuration free, not sortable
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| [shortuuid] | 16 bytes | 22 chars | configuration free, not sortable
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| [Snowflake] | 8 bytes | up to 20 chars | needs machin/DC configuration, needs central server, sortable
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| [MongoID] | 12 bytes | 24 chars | configuration free, sortable
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| xid | 12 bytes | 20 chars | configuration free, sortable
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[UUID]: https://en.wikipedia.org/wiki/Universally_unique_identifier
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[shortuuid]: https://github.com/stochastic-technologies/shortuuid
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[Snowflake]: https://blog.twitter.com/2010/announcing-snowflake
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[MongoID]: https://docs.mongodb.org/manual/reference/object-id/
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Features:
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- Size: 12 bytes (96 bits), smaller than UUID, larger than snowflake
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- Base32 hex encoded by default (20 chars when transported as printable string, still sortable)
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- Non configured, you don't need set a unique machine and/or data center id
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- K-ordered
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- Embedded time with 1 second precision
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- Unicity guaranteed for 16,777,216 (24 bits) unique ids per second and per host/process
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- Lock-free (i.e.: unlike UUIDv1 and v2)
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Best used with [zerolog](https://github.com/rs/zerolog)'s
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[RequestIDHandler](https://godoc.org/github.com/rs/zerolog/hlog#RequestIDHandler).
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Notes:
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- Xid is dependent on the system time, a monotonic counter and so is not cryptographically secure. If unpredictability of IDs is important, you should not use Xids. It is worth noting that most of the other UUID like implementations are also not cryptographically secure. You shoud use libraries that rely on cryptographically secure sources (like /dev/urandom on unix, crypto/rand in golang), if you want a truly random ID generator.
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References:
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- http://www.slideshare.net/davegardnerisme/unique-id-generation-in-distributed-systems
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- https://en.wikipedia.org/wiki/Universally_unique_identifier
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- https://blog.twitter.com/2010/announcing-snowflake
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- Python port by [Graham Abbott](https://github.com/graham): https://github.com/graham/python_xid
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- Scala port by [Egor Kolotaev](https://github.com/kolotaev): https://github.com/kolotaev/ride
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## Install
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go get github.com/rs/xid
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## Usage
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```go
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guid := xid.New()
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println(guid.String())
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// Output: 9m4e2mr0ui3e8a215n4g
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```
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Get `xid` embedded info:
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```go
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guid.Machine()
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guid.Pid()
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guid.Time()
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guid.Counter()
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```
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## Benchmark
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Benchmark against Go [Maxim Bublis](https://github.com/satori)'s [UUID](https://github.com/satori/go.uuid).
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```
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BenchmarkXID 20000000 91.1 ns/op 32 B/op 1 allocs/op
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BenchmarkXID-2 20000000 55.9 ns/op 32 B/op 1 allocs/op
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BenchmarkXID-4 50000000 32.3 ns/op 32 B/op 1 allocs/op
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BenchmarkUUIDv1 10000000 204 ns/op 48 B/op 1 allocs/op
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BenchmarkUUIDv1-2 10000000 160 ns/op 48 B/op 1 allocs/op
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BenchmarkUUIDv1-4 10000000 195 ns/op 48 B/op 1 allocs/op
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BenchmarkUUIDv4 1000000 1503 ns/op 64 B/op 2 allocs/op
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BenchmarkUUIDv4-2 1000000 1427 ns/op 64 B/op 2 allocs/op
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BenchmarkUUIDv4-4 1000000 1452 ns/op 64 B/op 2 allocs/op
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```
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Note: UUIDv1 requires a global lock, hence the performence degrading as we add more CPUs.
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## Licenses
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All source code is licensed under the [MIT License](https://raw.github.com/rs/xid/master/LICENSE).
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