Stag improves Gson performance by automatically generating reflection-less TypeAdapters for your model objects.
Gson is the essential JSON parsing library. It greatly simplifies what can be the verbose and boilerplate-ridden process of parsing JSON into model objects. It does this by leveraging reflection. Unfortunately, using reflection can be slow (particularly on the Android OS).
You can work around this by writing a custom TypeAdapter
, a class that Gson uses to (de)serialize an object. The main use case for custom type adapters is for classes that you don't have control over (e.g. parsing a JSON string into a java.util.Date
object). They are used to manually map JSON to fields in your model object. So, you can just write a custom TypeAdapter to tell Gson how to map data to fields and the performance will improve, since it won't have to use reflection.
But... if you have a lot of model objects, and you want to remove the use of reflection for (de)serialization of each one, suddenly you have to write many, many TypeAdapters. If you've ever written one or many of these type adapters, you will know that it is a tedious process. In fact, when writing your own TypeAdapter
, you might ask what you are doing using Gson in the first place!!!
The Stag library solves this problem. It leverages annotations to automatically generate reflection-less TypeAdapters for your model objects at compile time. Instead of spending time writing your own custom TypeAdapters for each model object, or forgoing the performance gain of eliminating reflection, use Stag and apply the @UseStag
to your model class declarations and all the work will be done for you.
All jar dependencies are available on jcenter.
buildscript {
repositories {
maven { url 'https://plugins.gradle.org/m2/' }
}
dependencies {
classpath 'net.ltgt.gradle:gradle-apt-plugin:0.11'
}
}
apply plugin: 'net.ltgt.apt'
dependencies {
def stagVersion = '2.5.1'
compile "com.vimeo.stag:stag-library:$stagVersion"
apt "com.vimeo.stag:stag-library-compiler:$stagVersion"
}
// Optional annotation processor arguments (see below)
gradle.projectsEvaluated {
tasks.withType(JavaCompile) {
aptOptions.processorArgs = [
stagAssumeHungarianNotation: "true",
stagGeneratedPackageName : "com.vimeo.sample.stag.generated",
stagDebug : "true"
]
}
}
apply plugin: 'kotlin-kapt'
dependencies {
def stagVersion = '2.5.1'
compile "com.vimeo.stag:stag-library:$stagVersion"
kapt "com.vimeo.stag:stag-library-compiler:$stagVersion"
}
kapt {
correctErrorTypes = true
// Optional annotation processor arguments (see below)
arguments {
arg("stagDebug", "true")
arg("stagGeneratedPackageName", "com.vimeo.sample.stag.generated")
arg("stagAssumeHungarianNotation", "true")
}
}
dependencies {
def stagVersion = '2.5.1'
compile "com.vimeo.stag:stag-library:$stagVersion"
annotationProcessor "com.vimeo.stag:stag-library-compiler:$stagVersion"
}
android {
...
defaultConfig {
...
// Optional annotation processor arguments (see below)
javaCompileOptions {
annotationProcessorOptions {
arguments = [
stagAssumeHungarianNotation: 'true'
stagGeneratedPackageName : 'com.vimeo.sample.stag.generated',
stagDebug : 'true'
]
}
}
}
}
stagGeneratedPackageName
: Pass package name as an argument for the generated files. By default, the files will be in generated incom.vimeo.stag.generated
package. You can specify your own package for the generated files by passing it as an argument to the annotation processor.stagDebug
: Turn on debugging in Stag. This will cause Stag to spit out a lot of output into the gradle console. This can aid you in figuring out what class is giving you trouble, if the exception gradle prints out isn't sufficient. Default is false.stagAssumeHungarianNotation
: If your Java member variables are private and Stag needs to use setters and getters to access the field, Stag will look for members namedset[variable_name]
andget[variable_name]
. If your member variables are named using Hungarian notation, then you will need to pass true to this parameter so that for a field namedmField
, Stag will look forsetField
andgetField
instead ofsetMField
andgetMField
. Default is false.
Stag supports class level annotation @UseStag
which processes all the fields for a particular class, which makes it easy to use and integrate.
@UseStag
has three different variants:
@UseStag(FieldOption.ALL)
: Will serialize/de-serialize all member variables which are not static or transient@UseStag(FieldOption.NONE)
: Will skip serialization and deserialization for all member variables. Only member variables inherited from annotated classes will be included.@UseStag(FieldOption.SERIALIZED_NAME)
: Will Serialize or Deserialize Fields only which are annotated withSerializedName
.
Similar to GSON, you can use the@SerializedName
annotation to provide a different JSON name to a member field. It also supports alternate name feature of the @SerializedName
annotation.
@SerializedName("name")
or @SerializedName(value = "name", alternate = {"name1", "name2"})
.
Stag has the ability to reference TypeAdapters across modules.
Last but not the least, Stag is almost in parity with GSON.
- Make sure that any private member variables have setters/getters following these naming rules:
Java setters and getters must have
private String myString; public String getMyString() { ... } public void setMyString(String parameter) { ... }
protected
,public
, or package local visibility. If you don't want to use setters and getters, make sure your member variables haveprotected
,public
, or package local visibility. If working with Kotlin, currently, you must make sure your getters all havepublic
visibility. Because stag generates Java code, the only way it knows how to access the Kotlin fields is if the setters and getters are public. By default, the visibility set on a Kotlin member variable is also applied to its setters and getters. - Make sure your model class is not private and has a zero argument non-private constructor
- Annotate the classes with
@UseStag
annotation. This will process all the member variables of the class, which makes it easy to use. - Use the
@SerializedName("key")
annotation to give the variables a different JSON name. (same as GSON) - Use your favorite
@NonNull
annotation to tell Stag to throw an exception if the field is null while deserializing or while serializing the object. - Register the
Stag.Factory
with Gson when you create your Gson instance:Gson gson = new GsonBuilder().registerTypeAdapterFactory(new Stag.Factory()).create();
- Make sure that you are not reusing the
Stag.Factory
instance between Gson instances. The factory is stateful and must be recreated when creating a new Gson instance. If you try to reuse the instance, anUnsupportedOperationException
will be thrown. - You're done!
- [Optional] By default, stag will drop a file called
StagTypeAdapterFactory.list
into your build folder which contains the plaintext names of all your models. It is used by the compiler to generate the adapters. It's a very small file and will compress down to a few bytes in size, but if you don't want it in your compiled apk, you can exclude it using the following code (if you supply a custom package name as a compiler argument, use that in place ofcom/vimeo/stag/generated/
below):
packagingOptions {
exclude 'com/vimeo/stag/generated/StagTypeAdapterFactory.list'
}
See the example below or the sample app to get more info on how to use Stag.
@UseStag
public class Deer {
// Private fields require getters and setters
@SerializedName("name")
private String name; // name = json value with key "name"
@SerializedName("species")
String species; // species = json value with key "species"
@SerializedName("age")
int age; // age = json value with key "age"
@SerializedName("points")
int points; // points = json value with key "points"
@SerializedName("weight")
float weight; // weight = json value with key "weight"
public String getName() { return name; }
public void setName(String name) { this.name = name; }
}
@UseStag
public class Herd {
@NonNull // add NonNull annotation to throw an exception if the field is null
@SerializedName("data_list")
ArrayList<Deer> data; // data = json value with key "data_list"
List<Deer> data_list_copy; // data_list_copy = json value with key "data_list_copy"
Map<String, Deer> data_map; // data_map = json value with key "data_map"
}
@UseStag
class Deer {
@SerializedName("name")
var name: String? = null // name = json value with key "name"
@SerializedName("species")
var species: String? = null // species = json value with key "species"
@SerializedName("age")
var age: Int = 0 // age = json value with key "age"
@SerializedName("points")
var points: Int = 0 // points = json value with key "points"
@SerializedName("weight")
var weight: Float = 0.toFloat() // weight = json value with key "weight"
}
@UseStag
class Herd {
// non null fields will be honored buy throwing an exception if the field is null
@SerializedName("data_list")
var data: ArrayList<Deer> = ArrayList() // data = json value with key "data_list"
var data_list_copy: List<Deer>? = null // data_list_copy = json value with key "data_list_copy"
var data_map: Map<String, Deer>? = null // data_map = json value with key "data_map"
}
/**
* The class where you receive JSON
* containing a list of Deer objects.
* You parse the list from JSON using
* Gson.
*/
MyParsingClass {
private Gson gson = new GsonBuilder()
.registerTypeAdapterFactory(new Stag.Factory())
.create();
public Herd fromJson(String json) {
return gson.fromJson(json, Herd.class);
}
}
- Add an option to absorb parsing errors rather than crashing and halting parsing (default gson behavior)
- Support
internal
visibility in Kotlin code - Generate Kotlin code for Kotlin models
git clone git@github.com:vimeo/stag-java.git
cd stag-java
bundle install
# dev like a boss
bundle exec fastlane test
# commit and push like a boss
Aside from specifying Java dependencies in the .gradle
files, you can use the .travis.yml
file to specify external build depencies such as the Android SDK to compile against (see the android.components
section).
stag-java
is available under the MIT license. See the LICENSE file for more information.
Post on Stack Overflow with the tag vimeo-android
.