binary-tagged: Tagged binary serialisation.
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- binary-tagged-0.1.2.0.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
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| Versions [RSS] | 0.1.0.0, 0.1.1.0, 0.1.2.0, 0.1.3.0, 0.1.3.1, 0.1.4.0, 0.1.4.1, 0.1.4.2, 0.1.5, 0.1.5.1, 0.1.5.2, 0.2, 0.3, 0.3.1 |
|---|---|
| Change log | CHANGELOG.md |
| Dependencies | aeson (>=0.8 && <0.11), array (>=0.5 && <0.6), base (>=4.7 && <4.9), binary (>=0.7 && <0.8), bytestring (>=0.10 && <0.11), containers (>=0.5 && <0.6), generics-sop (>=0.1 && <0.2), hashable (>=1.2 && <1.3), scientific (>=0.3 && <0.4), SHA (>=1.6 && <1.7), tagged (>=0.7 && <0.9), text (>=1.2 && <1.3), time (>=1.4 && <1.6), unordered-containers (>=0.2 && <0.3), vector (>=0.10 && <0.12) [details] |
| Tested with | ghc ==7.8.4, ghc ==7.10.2 |
| License | BSD-3-Clause |
| Author | Oleg Grenrus <oleg.grenrus@iki.fi> |
| Maintainer | Oleg Grenrus <oleg.grenrus@iki.fi> |
| Category | Web |
| Home page | https://github.com/phadej/binary-tagged#readme |
| Bug tracker | https://github.com/phadej/binary-tagged/issues |
| Source repo | head: git clone https://github.com/phadej/binary-tagged |
| Uploaded | by phadej at 2015-10-06T15:25:46Z |
| Distributions | Arch:0.3.1, Debian:0.2, LTSHaskell:0.3.1, NixOS:0.3.1 |
| Reverse Dependencies | 3 direct, 5 indirect [details] |
| Downloads | 15168 total (11 in the last 30 days) |
| Rating | (no votes yet) [estimated by Bayesian average] |
| Your Rating | |
| Status | Docs uploaded by user Build status unknown [no reports yet] |
Readme for binary-tagged-0.1.2.0
[back to package description]binary-tagged
Structurally tag binary serialisation stream.
Say you have:
data Record = Record
{ _recordFields :: HM.HashMap Text (Integer, ByteString)
, _recordEnabled :: Bool
}
deriving (Eq, Show, Generic)
instance Binary Record
instance HasStructuralInfo Record
instance HasSemanticVersion Record
then you can serialise and deserialise Record values with a structure tag by simply
encodeTaggedFile "cachefile" record
decodeTaggedFile "cachefile" :: IO Record
If structure of Record changes in between, deserialisation will fail early.
The overhead is next to non-observable, see a simple benchmark and the results.