Wire
“A man got to have a code!” - Omar Little
See the project website for documentation and APIs.
As our teams and programs grow, the variety and volume of data also grows. Success will turn your simple data models into complex ones! Whether your application is storing data to disk or transmitting it over a network, the structure and interpretation of that data should be clear. Consumers work best with data they understand!
Schemas describe and document data models. If you have data, you should have a schema.
Protocol Buffers
Google's Protocol Buffers are built around a great schema language:
-
It's cross platform and language independent. Whatever programming language you use, you'll be able to use proto schemas with your application.
-
Proto schemas are backwards-compatible and future-proof. You can evolve your schema as your application loses old features and gains new ones.
-
It's focused. Proto schemas describe your data models. That's it.
Protocol Buffer Examples
Here's a sample message definition:
syntax = "proto3";
package squareup.dinosaurs;
option java_package = "com.squareup.dinosaurs";
import "squareup/geology/period.proto";
message Dinosaur {
// Common name of this dinosaur, like "Stegosaurus".
string name = 1;
// URLs with images of this dinosaur.
repeated string picture_urls = 2;
squareup.geology.Period period = 5;
}
And here's an enum definition:
syntax = "proto3";
package squareup.geology;
option java_package = "com.squareup.geology";
enum Period {
// 145.5 million years ago — 66.0 million years ago.
CRETACEOUS = 0;
// 201.3 million years ago — 145.0 million years ago.
JURASSIC = 1;
// 252.17 million years ago — 201.3 million years ago.
TRIASSIC = 2;
}
This schema language is Protocol Buffers' best feature. You might even use it purely for documentation purposes, such as to describe a JSON API.
Protocol Buffers also defines a compact binary encoding of messages that conform to the schema. This
encoding is fast to encode, fast to decode, small to transmit, and small to store. The binary
encoding uses numeric tags from the schema, like the 5
for period
above.
For example, let's encode this dinosaur:
{
name: "Stegosaurus",
period: JURASSIC
}
The encoded value is just 15 bytes:
Hex Description
0a tag: name(1), field encoding: LENGTH_DELIMITED(2). 1 << 3 | 2
0b "Stegosaurus".length()
53 'S'
74 't'
65 'e'
67 'g'
6f 'o'
73 's'
61 'a'
75 'u'
72 'r'
75 'u'
73 's'
28 tag: period(5), field encoding: VARINT(0). 5 << 3 | 0
02 JURASSIC(2)
Why Wire?
The Protocol Buffers schema language and binary encoding are both defined by Google. Wire is an independent implementation from Square that's specifically designed for Android and Java.
For each message type defined in the schema, Wire generates an immutable model class and its builder. The generated code looks like code you'd write by hand: it's documented, formatted, and simple. Wire's APIs should feel at home to programmers who like Effective Java.
That said, there are some interesting design decisions in Wire:
-
Wire messages declare
public final
fields instead of the usual getter methods. This cuts down on both code generated and code executed. Less code is particularly beneficial for Android programs. -
Wire avoids case mapping. A field declared as
picture_urls
in a schema yields a Java fieldpicture_urls
and not the conventionalpictureUrls
camel case. Though the name feels awkward at first, it's fantastic whenever you usegrep
or more sophisticated search tools. No more mapping when navigating between schema, Java source code, and data. It also provides a gentle reminder to calling code that proto messages are a bit special. -
Primitive types are always boxed. If a field is absent, its value is
null
. This is used for naturally optional fields, such as a dinosaur whose period is unknown. A field may also be null due to schema evolution: if tomorrow we add acarnivore
boolean to our message definition, today's data won’t have a value for that field.
Generated Java Code
Here's the compact generated code for the Dinosaur
message defined above:
// Code generated by Wire protocol buffer compiler, do not edit.
// Source: squareup.dinosaurs.Dinosaur in squareup/dinosaurs/dinosaur.proto
package com.squareup.dinosaurs;
import com.squareup.geology.Period;
import com.squareup.wire.Message;
import com.squareup.wire.ProtoAdapter;
import com.squareup.wire.Syntax;
import com.squareup.wire.WireField;
import com.squareup.wire.internal.Internal;
import java.lang.Object;
import java.lang.Override;
import java.lang.String;
import java.util.List;
import okio.ByteString;
public final class Dinosaur extends Message<Dinosaur, Dinosaur.Builder> {
public static final ProtoAdapter<Dinosaur> ADAPTER = ProtoAdapter.newMessageAdapter(Dinosaur.class, "type.googleapis.com/squareup.dinosaurs.Dinosaur", Syntax.PROTO_3);
private static final long serialVersionUID = 0L;
/**
* Common name of this dinosaur, like "Stegosaurus".
*/
@WireField(
tag = 1,
adapter = "com.squareup.wire.ProtoAdapter#STRING",
label = WireField.Label.OMIT_IDENTITY
)
public final String name;
/**
* URLs with images of this dinosaur.
*/
@WireField(
tag = 2,
adapter = "com.squareup.wire.ProtoAdapter#STRING",
label = WireField.Label.REPEATED,
jsonName = "pictureUrls"
)
public final List<String> picture_urls;
@WireField(
tag = 5,
adapter = "com.squareup.geology.Period#ADAPTER",
label = WireField.Label.OMIT_IDENTITY
)
public final Period period;
public Dinosaur(String name, List<String> picture_urls, Period period) {
this(name, picture_urls, period, ByteString.EMPTY);
}
public Dinosaur(String name, List<String> picture_urls, Period period, ByteString unknownFields) {
super(ADAPTER, unknownFields);
if (name == null) {
throw new IllegalArgumentException("name == null");
}
this.name = name;
this.picture_urls = Internal.immutableCopyOf("picture_urls", picture_urls);
if (period == null) {
throw new IllegalArgumentException("period == null");
}
this.period = period;
}
@Override
public Builder newBuilder() {
Builder builder = new Builder();
builder.name = name;
builder.picture_urls = Internal.copyOf(picture_urls);
builder.period = period;
builder.addUnknownFields(unknownFields());
return builder;
}
@Override
public boolean equals(Object other) {
if (other == this) return true;
if (!(other instanceof Dinosaur)) return false;
Dinosaur o = (Dinosaur) other;
return unknownFields().equals(o.unknownFields())
&& Internal.equals(name, o.name)
&& picture_urls.equals(o.picture_urls)
&& Internal.equals(period, o.period);
}
@Override
public int hashCode() {
int result = super.hashCode;
if (result == 0) {
result = unknownFields().hashCode();
result = result * 37 + (name != null ? name.hashCode() : 0);
result = result * 37 + picture_urls.hashCode();
result = result * 37 + (period != null ? period.hashCode() : 0);
super.hashCode = result;
}
return result;
}
public static final class Builder extends Message.Builder<Dinosaur, Builder> {
public String name;
public List<String> picture_urls;
public Period period;
public Builder() {
name = "";
picture_urls = Internal.newMutableList();
period = Period.CRETACEOUS;
}
/**
* Common name of this dinosaur, like "Stegosaurus".
*/
public Builder name(String name) {
this.name = name;
return this;
}
/**
* URLs with images of this dinosaur.
*/
public Builder picture_urls(List<String> picture_urls) {
Internal.checkElementsNotNull(picture_urls);
this.picture_urls = picture_urls;
return this;
}
public Builder period(Period period) {
this.period = period;
return this;
}
@Override
public Dinosaur build() {
return new Dinosaur(name, picture_urls, period, super.buildUnknownFields());
}
}
}
The Java code to create and access proto models is compact and readable:
Dinosaur stegosaurus = new Dinosaur.Builder()
.name("Stegosaurus")
.period(Period.JURASSIC)
.build();
System.out.println("My favorite dinosaur existed in the " + stegosaurus.period + " period.");
Each type has a corresponding ProtoAdapter
that can encode a message to bytes and decode bytes
back into a message.
Dinosaur stegosaurus = ...
byte[] stegosaurusBytes = Dinosaur.ADAPTER.encode(stegosaurus);
byte[] tyrannosaurusBytes = ...
Dinosaur tyrannosaurus = Dinosaur.ADAPTER.decode(tyrannosaurusBytes);
When accessing a field, use Wire.get()
to replace null values with the corresponding default:
Period period = Wire.get(stegosaurus.period, Dinosaur.DEFAULT_PERIOD);
This is equivalent to the following:
Period period = stegosaurus.period != null ? stegosaurus.period : Dinosaur.DEFAULT_PERIOD;
Wire Kotlin
Since version 3.0.0, Wire can generate Kotlin code. See Wire Compiler & Gradle Plugin to learn how to configure your build.
Kotlin is a pragmatic and expressive programming language that makes it easy to model data. Here's how we used Kotlin to model Protocol Buffers messages:
-
Messages feel like
data
classes, but in fact they're not. Compiler still generatesequals()
,hashCode()
,toString()
andcopy()
for you. Wire does not generatecomponentN()
functions though, we believe that destructuring declarations are not a good fit for Protocol Buffers: a change in the schema that removes or adds a field might lead to a situation when your destructuring declaration still compiles but now describes a completely different subset of fields, rendering your code incorrect. -
copy()
is a substitute for theBuilder
, which is not used anymore. If your program relies on theBuilder
to be present, you may generate code in Java interoperability mode - Wire Compiler & Gradle Plugin explains how that works. -
Fields are generated as properties. While this is idiomatic in Kotlin, Java code will now have to access fields using getters. If your program relies on accessing fields directly, use Java interoperability mode - the compiler will generate
@JvmField
annotations for each field. -
The nullability of each field's type depends on its label:
required
,repeated
andmap
fields get non-nullable types, whereasoptional
fields are of nullable types. -
With the exception of
required
fields, each field has a default value:- null for
optional
fields, emptyList()
forrepeated
fields,emptyMap()
formap
fields.
- null for
Generated Kotlin Code
Here's the compact generated code for the Dinosaur
message defined above:
// Code generated by Wire protocol buffer compiler, do not edit.
// Source: squareup.dinosaurs.Dinosaur in squareup/dinosaurs/dinosaur.proto
package com.squareup.dinosaurs
import com.squareup.geology.Period
import com.squareup.wire.FieldEncoding
import com.squareup.wire.Message
import com.squareup.wire.ProtoAdapter
import com.squareup.wire.ProtoReader
import com.squareup.wire.ProtoWriter
import com.squareup.wire.Syntax.PROTO_3
import com.squareup.wire.WireField
import com.squareup.wire.internal.immutableCopyOf
import com.squareup.wire.internal.sanitize
import kotlin.Any
import kotlin.AssertionError
import kotlin.Boolean
import kotlin.Deprecated
import kotlin.DeprecationLevel
import kotlin.Int
import kotlin.Long
import kotlin.Nothing
import kotlin.String
import kotlin.collections.List
import kotlin.hashCode
import kotlin.jvm.JvmField
import okio.ByteString
class Dinosaur(
/**
* Common name of this dinosaur, like "Stegosaurus".
*/
@field:WireField(
tag = 1,
adapter = "com.squareup.wire.ProtoAdapter#STRING",
label = WireField.Label.OMIT_IDENTITY
)
val name: String = "",
picture_urls: List<String> = emptyList(),
@field:WireField(
tag = 5,
adapter = "com.squareup.geology.Period#ADAPTER",
label = WireField.Label.OMIT_IDENTITY
)
val period: Period = Period.CRETACEOUS,
unknownFields: ByteString = ByteString.EMPTY
) : Message<Dinosaur, Nothing>(ADAPTER, unknownFields) {
/**
* URLs with images of this dinosaur.
*/
@field:WireField(
tag = 2,
adapter = "com.squareup.wire.ProtoAdapter#STRING",
label = WireField.Label.REPEATED,
jsonName = "pictureUrls"
)
val picture_urls: List<String> = immutableCopyOf("picture_urls", picture_urls)
@Deprecated(
message = "Shouldn't be used in Kotlin",
level = DeprecationLevel.HIDDEN
)
override fun newBuilder(): Nothing = throw AssertionError()
override fun equals(other: Any?): Boolean {
if (other === this) return true
if (other !is Dinosaur) return false
if (unknownFields != other.unknownFields) return false
if (name != other.name) return false
if (picture_urls != other.picture_urls) return false
if (period != other.period) return false
return true
}
override fun hashCode(): Int {
var result = super.hashCode
if (result == 0) {
result = unknownFields.hashCode()
result = result * 37 + name.hashCode()
result = result * 37 + picture_urls.hashCode()
result = result * 37 + period.hashCode()
super.hashCode = result
}
return result
}
override fun toString(): String {
val result = mutableListOf<String>()
result += """name=${sanitize(name)}"""
if (picture_urls.isNotEmpty()) result += """picture_urls=${sanitize(picture_urls)}"""
result += """period=$period"""
return result.joinToString(prefix = "Dinosaur{", separator = ", ", postfix = "}")
}
fun copy(
name: String = this.name,
picture_urls: List<String> = this.picture_urls,
period: Period = this.period,
unknownFields: ByteString = this.unknownFields
): Dinosaur = Dinosaur(name, picture_urls, period, unknownFields)
companion object {
@JvmField
val ADAPTER: ProtoAdapter<Dinosaur> = object : ProtoAdapter<Dinosaur>(
FieldEncoding.LENGTH_DELIMITED,
Dinosaur::class,
"type.googleapis.com/squareup.dinosaurs.Dinosaur",
PROTO_3,
null
) {
override fun encodedSize(value: Dinosaur): Int {
var size = value.unknownFields.size
if (value.name != "") size += ProtoAdapter.STRING.encodedSizeWithTag(1, value.name)
size += ProtoAdapter.STRING.asRepeated().encodedSizeWithTag(2, value.picture_urls)
if (value.period != Period.CRETACEOUS) size += Period.ADAPTER.encodedSizeWithTag(5,
value.period)
return size
}
override fun encode(writer: ProtoWriter, value: Dinosaur) {
if (value.name != "") ProtoAdapter.STRING.encodeWithTag(writer, 1, value.name)
ProtoAdapter.STRING.asRepeated().encodeWithTag(writer, 2, value.picture_urls)
if (value.period != Period.CRETACEOUS) Period.ADAPTER.encodeWithTag(writer, 5, value.period)
writer.writeBytes(value.unknownFields)
}
override fun decode(reader: ProtoReader): Dinosaur {
var name: String = ""
val picture_urls = mutableListOf<String>()
var period: Period = Period.CRETACEOUS
val unknownFields = reader.forEachTag { tag ->
when (tag) {
1 -> name = ProtoAdapter.STRING.decode(reader)
2 -> picture_urls.add(ProtoAdapter.STRING.decode(reader))
5 -> try {
period = Period.ADAPTER.decode(reader)
} catch (e: ProtoAdapter.EnumConstantNotFoundException) {
reader.addUnknownField(tag, FieldEncoding.VARINT, e.value.toLong())
}
else -> reader.readUnknownField(tag)
}
}
return Dinosaur(
name = name,
picture_urls = picture_urls,
period = period,
unknownFields = unknownFields
)
}
override fun redact(value: Dinosaur): Dinosaur = value.copy(
unknownFields = ByteString.EMPTY
)
}
private const val serialVersionUID: Long = 0L
}
}
Creating and accessing proto models is easy:
val stegosaurus = Dinosaur(
name = "Stegosaurus",
period = Period.JURASSIC
)
println("My favorite dinosaur existed in the ${stegosaurus.period} period.")
Here's how you can modify the object to add extra fields:
val stegosaurus = stegosaurus.copy(
picture_urls = listOf("https://www.flickr.com/photos/tags/Stegosaurus/")
)
println("Here are some photos of ${stegosaurus.name}: ${stegosaurus.picture_urls}")
Wire Swift
Since version 3.3.0, Wire can generate Swift code. See Wire Compiler & Gradle Plugin to learn how to configure your build.
Swift support is considered a "beta" and may still feature breaking changes. That being said, Block is shipping it in production apps and SDKs.
Swift is a pragmatic and expressive programming language with rich support for value types. Here's how we used Swift to model Protocol Buffers messages:
- Messages are structs that conform to
Equatable
,Codable
andSendable
. All Messages have value semantics. - Messages have a memberwise initializer to populate fields.
- Fields are generated as properties.
- The nullability of each field's type depends on its label:
required
,repeated
andmap
fields get non-nullable types, whereasoptional
fields are of nullable types.
Generated Swift Code
Here's the compact generated code for the Dinosaur
message defined above:
// Code generated by Wire protocol buffer compiler, do not edit.
// Source: squareup.dinosaurs.Dinosaur in squareup/dinosaurs/dinosaur.proto
import Foundation
import Wire
public struct Dinosaur {
/**
* Common name of this dinosaur, like "Stegosaurus".
*/
public var name: String?
/**
* URLs with images of this dinosaur.
*/
public var picture_urls: [String]
public var length_meters: Double?
public var mass_kilograms: Double?
public var period: Period?
public var unknownFields: Data = .init()
public init(
name: String? = nil,
picture_urls: [String] = [],
length_meters: Double? = nil,
mass_kilograms: Double? = nil,
period: Period? = nil
) {
self.name = name
self.picture_urls = picture_urls
self.length_meters = length_meters
self.mass_kilograms = mass_kilograms
self.period = period
}
}
#if !WIRE_REMOVE_EQUATABLE
extension Dinosaur : Equatable {
}
#endif
#if !WIRE_REMOVE_HASHABLE
extension Dinosaur : Hashable {
}
#endif
#if swift(>=5.5)
extension Dinosaur : Sendable {
}
#endif
extension Dinosaur : ProtoMessage {
public static func protoMessageTypeURL() -> String {
return "type.googleapis.com/squareup.dinosaurs.Dinosaur"
}
}
extension Dinosaur : Proto2Codable {
public init(from reader: ProtoReader) throws {
var name: String? = nil
var picture_urls: [String] = []
var length_meters: Double? = nil
var mass_kilograms: Double? = nil
var period: Period? = nil
let token = try reader.beginMessage()
while let tag = try reader.nextTag(token: token) {
switch tag {
case 1: name = try reader.decode(String.self)
case 2: try reader.decode(into: &picture_urls)
case 3: length_meters = try reader.decode(Double.self)
case 4: mass_kilograms = try reader.decode(Double.self)
case 5: period = try reader.decode(Period.self)
default: try reader.readUnknownField(tag: tag)
}
}
self.unknownFields = try reader.endMessage(token: token)
self.name = name
self.picture_urls = picture_urls
self.length_meters = length_meters
self.mass_kilograms = mass_kilograms
self.period = period
}
public func encode(to writer: ProtoWriter) throws {
try writer.encode(tag: 1, value: self.name)
try writer.encode(tag: 2, value: self.picture_urls)
try writer.encode(tag: 3, value: self.length_meters)
try writer.encode(tag: 4, value: self.mass_kilograms)
try writer.encode(tag: 5, value: self.period)
try writer.writeUnknownFields(unknownFields)
}
}
#if !WIRE_REMOVE_CODABLE
extension Dinosaur : Codable {
public init(from decoder: Decoder) throws {
let container = try decoder.container(keyedBy: StringLiteralCodingKeys.self)
self.name = try container.decodeIfPresent(String.self, forKey: "name")
self.picture_urls = try container.decodeProtoArray(String.self, firstOfKeys: "pictureUrls", "picture_urls")
self.length_meters = try container.decodeIfPresent(Double.self, firstOfKeys: "lengthMeters", "length_meters")
self.mass_kilograms = try container.decodeIfPresent(Double.self, firstOfKeys: "massKilograms", "mass_kilograms")
self.period = try container.decodeIfPresent(Period.self, forKey: "period")
}
public func encode(to encoder: Encoder) throws {
var container = encoder.container(keyedBy: StringLiteralCodingKeys.self)
let preferCamelCase = encoder.protoKeyNameEncodingStrategy == .camelCase
let includeDefaults = encoder.protoDefaultValuesEncodingStrategy == .include
try container.encodeIfPresent(self.name, forKey: "name")
if includeDefaults || !self.picture_urls.isEmpty {
try container.encodeProtoArray(self.picture_urls, forKey: preferCamelCase ? "pictureUrls" : "picture_urls")
}
try container.encodeIfPresent(self.length_meters, forKey: preferCamelCase ? "lengthMeters" : "length_meters")
try container.encodeIfPresent(self.mass_kilograms, forKey: preferCamelCase ? "massKilograms" : "mass_kilograms")
try container.encodeIfPresent(self.period, forKey: "period")
}
}
#endif
Creating and accessing proto models is easy:
let stegosaurus = Dinosaur(
name: "Stegosaurus",
period: .JURASSIC
)
print("My favorite dinosaur existed in the \(stegosaurus.period) period.")
Here's how you can modify the object to add extra fields:
var stegosaurus = stegosaurus
stegosaurus.picture_urls = ["https://www.flickr.com/photos/tags/Stegosaurus/"]
print("Here are some photos of \(stegosaurus.name): \(stegosaurus.picture_urls)")
Wire gRPC
Since version 3.0.0, Wire supports gRPC.
Generating Code With Wire
Wire can read .proto
files from the local file system and from within .jar
files.
The compiler can optionally prune your schema to a subset of root types and their transitive dependencies. This is useful when sharing a schema between projects: a Java service and Android app may each use a subset of a larger shared schema.
For more info on how to get started, see Wire Compiler & Gradle Plugin.
If you don't use Gradle, the compiler also has a command line interface. Just substitute
wire-compiler-VERSION-jar-with-dependencies.jar
with the path to your jar. Download the latest precompiled jar.
% java -jar wire-compiler-VERSION-jar-with-dependencies.jar \
--proto_path=src/main/proto \
--java_out=out \
squareup/dinosaurs/dinosaur.proto \
squareup/geology/period.proto
Writing com.squareup.dinosaurs.Dinosaur to out
Writing com.squareup.geology.Period to out
Supplying the --android
flag to the compiler causes Wire messages to implement Parcelable
.
If you use Proguard, then you need to add keep
rules. The simplest option is to tell Proguard not
to touch the Wire runtime library and your generated protocol buffers (of course these simple rules
will miss opportunities to shrink and optimize the code):
-keep class com.squareup.wire.** { *; }
-keep class com.yourcompany.yourgeneratedcode.** { *; }
Get Wire
The wire-runtime
package contains runtime support libraries that must be included in applications
that use Wire-generated code.
With Maven:
<dependency>
<groupId>com.squareup.wire</groupId>
<artifactId>wire-runtime-jvm</artifactId>
<version>4.7.2</version>
</dependency>
With Gradle:
api "com.squareup.wire:wire-runtime:4.7.2"
Snapshots of the development version are available in Sonatype's snapshots
repository.
Unsupported
Wire does not support:
- Groups - they are skipped when parsing binary input data
Wire supports custom options on messages and fields. Other custom options are ignored. Pass
--excludes=google.protobuf.*
to the compiler to omit options from the generated code.
Further Documentation
See Google's excellent documentation on the structure and syntax of proto schemas.