BSD-3-Clause licensed by Fumiaki Kinoshita
Maintained by [email protected]
This version can be pinned in stack with:winery-0.3.1@sha256:d14af57626272b55ad741f9f2adf07973b0102c3278d2ccd811300ead98b3570,3153

winery

winery is a serialisation library for Haskell.

  • Fast encoding: can create a bytestring or write to a handle efficiently
  • Compact representation: uses VLQ by default. Separates schemata and contents
  • Stateless decoding: you can decode a value without reading all the leading bytes
  • Inspectable: data can be read without the original instance

Interface

The interface is simple; serialise encodes a value with its schema, and deserialise decodes a ByteString using the schema in it.

class Serialise a

serialise :: Serialise a => a -> B.ByteString
deserialise :: Serialise a => B.ByteString -> Either String a

It’s also possible to serialise schemata and data separately.

-- Note that 'Schema' is an instance of 'Serialise'
schema :: Serialise a => proxy a -> Schema
serialiseOnly :: Serialise a => a -> B.ByteString

getDecoder gives you a deserialiser.

getDecoder :: Serialise a => Schema -> Either StrategyError (ByteString -> a)

For user-defined datatypes, you can either define instances

instance Serialise Foo where
  schemaVia = gschemaViaRecord
  toEncoding = gtoEncodingRecord
  deserialiser = gdeserialiserRecord Nothing

for single-constructor records, or just

instance Serialise Foo

for any ADT. The former explicitly describes field names in the schema, and the latter does constructor names.

Streaming output

You can write data to a handle without allocating a ByteString. You can see the length before serialisation.

toEncoding :: Serialise a => a -> Encoding
hPutEncoding :: Handle -> Encoding -> IO ()
getSize :: Encoding -> Int

The schema

The definition of Schema is as follows:

data Schema = SSchema !Word8
  | SUnit
  | SBool
  | SChar
  | SWord8
  | SWord16
  | SWord32
  | SWord64
  | SInt8
  | SInt16
  | SInt32
  | SInt64
  | SInteger
  | SFloat
  | SDouble
  | SBytes
  | SText
  | SList !Schema
  | SArray !(VarInt Int) !Schema -- fixed size
  | SProduct [Schema]
  | SProductFixed [(VarInt Int, Schema)] -- fixed size
  | SRecord [(T.Text, Schema)]
  | SVariant [(T.Text, [Schema])]
  | SFix Schema -- ^ binds a fixpoint
  | SSelf !Word8 -- ^ @SSelf n@ refers to the n-th innermost fixpoint
  deriving (Show, Read, Eq, Generic)

The Serialise instance is derived by generics.

There are some special schemata:

  • SSchema n is a schema of schema. The winery library stores the concrete schema of Schema for each version, so it can deserialise data even if the schema changes.
  • SFix binds a fixpoint.
  • SSelf n refers to the n-th innermost fixpoint bound by SFix. This allows it to provide schemata for inductive datatypes.

Backward compatibility

If having default values for missing fields is sufficient, you can pass a default value to gdeserialiserRecord:

  deserialiser = gdeserialiserRecord $ Just $ Foo "" 42 0

You can also build a custom deserialiser using the Alternative instance and combinators such as extractField, extractConstructor, etc.

Pretty-printing

Term can be deserialised from any winery data. It can be pretty-printed using the Pretty instance:

{ bar: "hello"
, baz: 3.141592653589793
, foo: Just 42
}

You can use the winery command-line tool to inspect values.

$ winery '.[:10] | .first_name .last_name' benchmarks/data.winery
Shane Plett
Mata Snead
Levon Sammes
Irina Gourlay
Brooks Titlow
Antons Culleton
Regine Emerton
Starlin Laying
Orv Kempshall
Elizabeth Joseff
Cathee Eberz

At the moment, the following queries are supported:

  • . return itself
  • .[] enumerate all the elements in a list
  • .[i] get the i-th element
  • .[i:j] enumerate i-th to j-th items
  • .foo Get a field named foo
  • F | G compose queries (left to right)

Benchmark

data TestRec = TestRec
  { id_ :: !Int
  , first_name :: !Text
  , last_name :: !Text
  , email :: !Text
  , gender :: !Gender
  , num :: !Int
  , latitude :: !Double
  , longitude :: !Double
  } deriving (Show, Generic)

(De)serialisation of the datatype above using generic instances:

serialise/list/winery                    mean 847.4 μs  ( +- 122.7 μs  )
serialise/list/binary                    mean 1.221 ms  ( +- 169.0 μs  )
serialise/list/serialise                 mean 290.4 μs  ( +- 34.98 μs  )
serialise/item/winery                    mean 243.1 ns  ( +- 27.50 ns  )
serialise/item/binary                    mean 1.080 μs  ( +- 75.82 ns  )
serialise/item/serialise                 mean 322.4 ns  ( +- 21.09 ns  )
serialise/file/winery                    mean 681.9 μs  ( +- 247.0 μs  )
serialise/file/binary                    mean 1.731 ms  ( +- 611.6 μs  )
serialise/file/serialise                 mean 652.9 μs  ( +- 185.8 μs  )
deserialise/winery                       mean 733.2 μs  ( +- 11.70 μs  )
deserialise/binary                       mean 1.582 ms  ( +- 122.3 μs  )
deserialise/serialise                    mean 823.3 μs  ( +- 38.08 μs  )

Not bad, considering that binary and serialise don’t encode field names.

Changes

0.3

  • Supported UTCTime
  • Added an instance for lazy ByteString
  • Added toEncodingWithSchema

0.2

  • Renamed extract*With to extract*By for consistency
  • Added hPut
  • Improved the performance
  • Added -J option to winery which exports a JSON
  • Decoder now throws DecodeException rather than error calls

0.1.1

  • Add Data.Winery.Query
  • The command line tool supports a simple query language

0.1

Overhauled the encoding; Sorry, incompatible with 0

0

Initial release