zero-deps / proto   2.1.3

MIT License GitHub

Lightweight and fast serialization library for Scala 2/3 based on Protocol Buffers with macros

Scala versions: 3.x 2.13 2.12 2.11
Scala.js versions: 1.x
Scala Native versions: 0.5

proto

proto Scala version support
proto Scala version support
proto Scala version support
Production Ready

Lightweight and fast serialization library for Scala 2/3 based on Protocol Buffers with macros magic.

Motivation

Serialization library for Scala that can be used either for long term store models and short term models. With easy to migrate possibility.

  • Lightweight
  • Fast
  • Protocol Buffers compatible
  • No .proto files
  • No model convertation
  • Type safe
  • Serialization/deserialization without changes in models
  • Possibility to use specific types in model

Install

Add dependency:

libraryDependencies += "io.github.zero-deps" %% "proto" % "latest.integration"

Dependency as a git-submodule is also supported.

Benchmark #1

data library scala-2 scala-3
data decode java 44079.139 38979.697
data decode jackson 176941.468 188555.562
data decode jsoniter-scala 483788.001 no support for Scala 3
data decode boopickle 2885610.648 no support for Scala 3
data decode proto 3383845.458 3776688.591
data decode scalapb 3270691.564 3893847.420
data library scala-2 scala-3
data encode java 220444.268 217484.396
data encode jackson 431318.803 384863.249
data encode jsoniter-scala 1054650.233 no support for Scala 3
data encode boopickle 1520834.519 no support for Scala 3
data encode proto 3186951.441 2965427.382
data encode scalapb 3628779.864 3972905.402
data library scala-2 scala-3
msg decode jsoniter-scala 3486552.303 no support for Scala 3
msg decode proto 5825174.170 6395557.251
msg decode scalapb 4898257.671 6902064.854
data library scala-2 scala-3
msg encode jsoniter-scala 6372602.760 no support for Scala 3
msg encode proto 6487748.959 6745673.393
msg encode scalapb 9202135.451 9056962.541

environment

Intel(R) Core(TM) i7-7700HQ CPU @ 2.80GHz
16 GB 2133 MHz LPDDR3
Java 15

run benchmark

sbt project bench ++ 3.0.0 jmh:run -i 2 -wi 1 -f1 -t1

Benchmark #2

data library scala-3
data decode java 92130,460
data decode jackson 517036,354
data decode proto 6716619,956
data library scala-3
data encode java 537462,511
data encode jackson 882065,311
data encode proto 9380874,587
data library scala-3
msg decode proto 11733555,275
data library scala-3
msg encode proto 18486833,582

environment

Apple M1
16 GB
Java 21

run benchmark

sbt project bench ++ 3.0.0 jmh:run -i 2 -wi 1 -f1 -t1

Usage

You can pick one of the way how to define field number:

  • with annotation @proto.N and use caseCodecAuto
  • explicitly specify nums caseCodecNums(Symbol("field1")->1, Symbol("field2")->2)
  • field numbers by index caseCodecIdx

You can use annotation @proto.RestrictedN to restrict usage of specified field numbers. Can be used with classes or traits.

import scala.collection.immutable.TreeMap import proto.{encode, decode, N} import proto.{caseCodecIdx, caseCodecNums, caseCodecAuto} final case class VectorClock(versions: TreeMap[String, Long]) @RestrictedN(3,4) final case class Equipment(@N(1) id: String, @N(2) tpe: String) final case class Car(id: String, color: Int, equipment: List[Equipment], vc: VectorClock) implicit val tuple2Codec = caseCodecIdx[Tuple2[String, Long]] //codec for TreeMap[String, Long] implicit val vectorClockCodec = caseCodecIdx[VectorClock] implicit val equipmentCodec = caseCodecAuto[Equipment] implicit val carCodec = caseCodecNums[Car]('id->1, 'color->4, 'equipment->2, 'vc->3) val vc = VectorClock(versions=TreeMap.empty) val equipment = List(Equipment(id="1", tpe="123"), Equipment(id="2", tpe="456")) val car = Car(id="1", color=16416882, equipment=equipment, vc=vc) //encode val bytes: Array[Byte] = encode(car) //decode val car2: Car = decode[Car](bytes)

More examples in testing.scala

Statistics

5 Dependencies

No Dependent