- 浏览: 127437 次
- 性别:
- 来自: 北京
文章分类
最新评论
-
zifangsky:
关于“继承HttpServletRequestWrapper以 ...
HttpServletRequestWrapper的使用 -
wuzb417:
请根据提示,复制“libsvnjavahl-1, svnjav ...
MyEclipse使用SVN插件报Failed to load JavaHL Library.错误 -
lichuanbao:
yunan246 写道嘿嘿,记得11年的时候维平介绍过JNot ...
JNotify使用 -
yunan246:
嘿嘿,记得11年的时候维平介绍过JNotify。
JNotify使用 -
xwqiang:
1,"There is no Action mapp ...
Struts2零配置开发(注解Annotation的使用)二
这是官方的GSON User Guide,这里备份一下。要不每次都要**,太麻烦了……
Overview
Gson is a Java library that can be used to convert Java Objects into their JSON representation. It can also be used to convert a JSON string to an equivalent Java object. Gson is an open-source project hosted at http://code.google.com/p/google-gson.
Gson can work with arbitrary Java objects including pre-existing objects that you do not have source-code of.
Goals for Gson
Provide easy to use mechanisms like toString() and constructor (factory method) to convert Java to JSON and vice-versa
Allow pre-existing unmodifiable objects to be converted to and from JSON
Allow custom representations for objects
Support arbitrarily complex object
Generate compact and readability JSON output
Gson Performance and Scalability
Here are some metrics that we obtained on a desktop (dual opteron, 8GB RAM, 64-bit Ubuntu) running lots of other things along-with the tests. You can rerun these tests by using the class PerformanceTest.
Strings: Deserialized strings of over 25MB without any problems (see disabled_testStringDeserializationPerformance method in PerformanceTest)
Large collections:
Serialized a collection of 1.4 million objects (see disabled_testLargeCollectionSerialization method in PerformanceTest)
Deserialized a collection of 87,000 objects (see disabled_testLargeCollectionDeserialization in PerformanceTest)
Gson 1.4 raised the deserialization limit for byte arrays and collection to over 11MB from 80KB.
Note: Delete the disabled_ prefix to run these tests. We use this prefix to prevent running these tests every time we run junit tests.
Gson Users
Gson was originally created for use inside Google where it is currently used in a number of projects. It is now used by a number of public projects and companies. See details here.
Using Gson
The primary class to use is Gson which you can just create by calling new Gson(). There is also a class GsonBuilder available that can be used to create a Gson instance with various settings like version control and so on.
The Gson instance does not maintain any state while invoking Json operations. So, you are free to reuse the same object for multiple Json serialization and deserialization operations.
Primitives Examples
(Serialization)
Gson gson = new Gson();
gson.toJson(1); ==> prints 1
gson.toJson("abcd"); ==> prints "abcd"
gson.toJson(new Long(10)); ==> prints 10
int[] values = { 1 };
gson.toJson(values); ==> prints [1]
(Deserialization)
int one = gson.fromJson("1", int.class);
Integer one = gson.fromJson("1", Integer.class);
Long one = gson.fromJson("1", Long.class);
Boolean false = gson.fromJson("false", Boolean.class);
String str = gson.fromJson("\"abc\"", String.class);
String anotherStr = gson.fromJson("[\"abc\"]", String.class);
Object Examples
class BagOfPrimitives {
private int value1 = 1;
private String value2 = "abc";
private transient int value3 = 3;
BagOfPrimitives() {
// no-args constructor
}
}
(Serialization)
BagOfPrimitives obj = new BagOfPrimitives();
Gson gson = new Gson();
String json = gson.toJson(obj);
==> json is {"value1":1,"value2":"abc"}
Note that you can not serialize objects with circular references since that will result in infinite recursion.
(Deserialization)
BagOfPrimitives obj2 = gson.fromJson(json, BagOfPrimitives.class);
==> obj2 is just like obj
Finer Points with Objects
It is perfectly fine (and recommended) to use private fields
There is no need to use any annotations to indicate a field is to be included for serialization and deserialization. All fields in the current class (and from all super classes) are included by default.
If a field is marked transient, (by default) it is ignored and not included in the JSON serialization or deserialization.
This implementation handles nulls correctly
While serialization, a null field is skipped from the output
While deserialization, a missing entry in JSON results in setting the corresponding field in the object to null
If a field is synthetic, it is ignored and not included in JSON serialization or deserialization
Fields corresponding to the outer classes in inner classes, anonymous classes, and local classes are ignored and not included in serialization or deserialization
Nested Classes (including Inner Classes)
Gson can serialize static nested classes quite easily.
Gson can also deserialize static nested classes. However, Gson can not automatically deserialize the pure inner classes since their no-args constructor also need a reference to the containing Object which is not available at the time of deserialization. You can address this problem by either making the inner class static or by providing a custom InstanceCreator for it. Here is an example:
public class A {
public String a;
class B {
public String b;
public B() {
// No args constructor for B
}
}
}
NOTE: The above class B can not (by default) be serialized with Gson.
Gson can not deserialize {"b":"abc"} into an instance of B since the class B is an inner class. if it was defined as static class B then Gson would have been able to deserialize the string. Another solution is to write a custom instance creator for B.
public class InstanceCreatorForB implements InstanceCreator<A.B> {
private final A a;
public InstanceCreatorForB(A a) {
this.a = a;
}
public A.B createInstance(Type type) {
return a.new B();
}
}
The above is possible, but not recommended.
Array Examples
Gson gson = new Gson();
int[] ints = {1, 2, 3, 4, 5};
String[] strings = {"abc", "def", "ghi"};
(Serialization)
gson.toJson(ints); ==> prints [1,2,3,4,5]
gson.toJson(strings); ==> prints ["abc", "def", "ghi"]
(Deserialization)
int[] ints2 = gson.fromJson("[1,2,3,4,5]", int[].class);
==> ints2 will be same as ints
We also support multi-dimensional arrays, with arbitrarily complex element types
Collections Examples
Gson gson = new Gson();
Collection<Integer> ints = Lists.immutableList(1,2,3,4,5);
(Serialization)
String json = gson.toJson(ints); ==> json is [1,2,3,4,5]
(Deserialization)
Type collectionType = new TypeToken<Collection<Integer>>(){}.getType();
Collection<Integer> ints2 = gson.fromJson(json, collectionType);
ints2 is same as ints
Fairly hideous: note how we define the type of collection
Unfortunately, no way to get around this in Java
Collections Limitations
Can serialize collection of arbitrary objects but can not deserialize from it
Because there is no way for the user to indicate the type of the resulting object
While deserializing, Collection must be of a specific generic type
All of this makes sense, and is rarely a problem when following good Java coding practices
Serializing and Deserializing Generic Types
When you call toJson(obj), Gson calls obj.getClass() to get information on the fields to serialize. Similarly, you can typically pass MyClass.class object in the fromJson(json, MyClass.class) method. This works fine if the object is a non-generic type. However, if the object is of a generic type, then the Generic type information is lost because of Java Type Erasure. Here is an example illustrating the point:
List<String> myStrings = new List<String>();
gson.toJson(myStrings); // Will cause a runtime exception
gson.fromJson(json, myStrings.getClass());
The above call results in a runtime exception because Gson invokes myStrings.getClass() to get its class information, but this method returns a raw class, List.class. This means that Gson has no way of knowing that this is a list of Strings, and not plain objects.
You can solve this problem by specifying the correct parameterized type for your generic type. You can do this by using the TypeToken class.
Type listType = new TypeToken<List<String>>() {}.getType();
gson.toJson(myStrings, listType);
gson.fromJson(json, listType);
The idiom used to get listType actually defines an anonymous local inner class containing a method getType() that returns the fully parameterized type.
Built-in Serializers and Deserializers
Gson has built-in serializers and deserializers for commonly used classes whose default representation may be inappropriate.
Here is a list of such classes:
java.net.URL to match it with strings like "http://code.google.com/p/google-gson/".
java.net.URI to match it with strings like "/p/google-gson/".
You can also find source-code for some commonly used classes such as JodaTime at this page.
Custom Serialization and Deserialization
Sometimes default representation is not what you want. This is often the case when dealing with library classes (DateTime, etc).
Gson allows you to register your own custom serializers and deserializers. This is done by defining two parts:
Json Serialiers: Need to define custom serialization for an object
Json Deserializers: Needed to define custom deserialization for a type
Instance Creators: Not needed if no-args constructor is available or a deserializer is registered
GsonBuilder gson = new GsonBuilder();
gson.registerTypeAdapter(MyType2.class, new MyTypeAdapter());
gson.registerTypeAdapter(MyType.class, new MySerializer());
gson.registerTypeAdapter(MyType.class, new MyDeserializer());
gson.registerTypeAdapter(MyType.class, new MyInstanceCreator());
registerTypeAdapter call checks if the type adapter implements more than one of these interfaces and register it for all of them.
Writing a Serializer
Here is an example of how to write a custom serializer for JodaTime DateTime class.
private class DateTimeSerializer implements JsonSerializer<DateTime> {
public JsonElement serialize(DateTime src, Type typeOfSrc, JsonSerializationContext context) {
return new JsonPrimitive(src.toString());
}
}
Gson calls toJson() when it runs into a DateTime object during serialization.
Writing a Deserializer
Here is an example of how to write a custom deserializer for JodaTime DateTime class.
private class DateTimeDeserializer implements JsonDeserializer<DateTime> {
public DateTime deserialize(JsonElement json, Type typeOfT, JsonDeserializationContext context)
throws JsonParseException {
return new DateTime(json.getAsJsonPrimitive().getAsString());
}
}
Gson calls fromJson() when it needs to deserialize a JSON string fragment into a DateTime object
Finer points with Serializers and Deserializers
Often you want to register a single handler for all generic types corresponding to a raw type
For example, suppose you have an "Id" class for Id representation/translation (i.e. an internal vs. external representation).
Id<T> type that has same serialization for all generic types
Essentially write out the id value
Deserialization is very similar but not exactly the same
Need to call "new Id(Class<T>, String)" which returns an instance of Id<T>
Gson supports registering a single handler for this. You can also register a specific handler for a specific generic type (say Id<RequiresSpecialHandling> needed special handling).
The Type parameter for the toJson and fromJson contains the generic type information to help you write a single handler for all generic types corresponding to the same raw type
Writing an Instance Creator
While deserializing an Object, Gson needs to create a default instance of the class
Well-behaved classes that are meant for serialization and deserialization should have a no-argument constructor
Doesn't matter whether public or private
Typically, Instance Creators are needed when you are dealing with a library class that does NOT define a no-argument constructor
Instance Creator Example
private class MoneyInstanceCreator implements InstanceCreator<Money> {
public Money createInstance(Type type) {
return new Money("1000000", CurrencyCode.USD);
}
}
Type could be of a corresponding generic type
Very useful to invoke constructors which need specific generic type information
For example, if the Id class stores the class for which the Id is being created
InstanceCreator for a Parameterized Type
Sometimes that the type that you are trying to instantiate is a parameterized type. Generally, this is not a problem since the actual instance is of raw type. Here is an example:
class MyList<T> extends ArrayList<T> {
}
class MyListInstanceCreator implements InstanceCreator<MyList<?>> {
@SuppressWarnings("unchecked")
public MyList<?> createInstance(Type type) {
// No need to use a parameterized list since the actual instance will have the raw type anyway.
return new MyList();
}
}
However, sometimes you do need to create instance based on the actual parameterized type. In this case, you can use the type parameter being passed to the createInstance method. Here is an example:
public class Id<T> {
private final Class<T> classOfId;
private final long value;
public Id(Class<T> classOfId, long value) {
this.classOfId = classOfId;
this.value = value;
}
}
class IdInstanceCreator implements InstanceCreator<Id<?>> {
public Id<?> createInstance(Type type) {
Type[] typeParameters = ((ParameterizedType)type).getActualTypeArguments();
Type idType = typeParameters[0]; // Id has only one parameterized type T
return Id.get((Class)idType, 0L);
}
}
In the above example, an instance of the Id class can not be created without actually passing in the actual type for the parameterized type. We solve this problem by using the passed method parameter, type. The type object in this case is the Java parameterized type representation of Id<Foo> where the actual instance should be bound to Id<Foo>. Since Id class has just one parameterized type parameter, T, we use the zeroth element of the type array returned by getActualTypeArgument() which will hold Foo.class in this case.
Compact Vs. Pretty Printing for JSON Output Format
The default JSON output that is provide by Gson is a compact JSON format. This means that there will not be any whitespace in the output JSON structure. Therefore, there will be no whitespace between field names and its value, object fields, and objects within arrays in the JSON output. As well, "null" fields will be ignored in the output (NOTE: null values will still be included in collections/arrays of objects). See the Null Object Support section for information on configure Gson to output all null values.
If you like to use the Pretty Print feature, you must configure your Gson instance using the GsonBuilder. The JsonFormatter is not exposed through our public API, so the client is unable to configure the default print settings/margins for the JSON output. For now, we only provide a default JsonPrintFormatter that has default line length of 80 character, 2 character indentation, and 4 character right margin.
The following is an example shows how to configure a Gson instance to use the default JsonPrintFormatter instead of the JsonCompactFormatter:
Gson gson = new GsonBuilder().setPrettyPrinting().create();
String jsonOutput = gson.toJson(someObject);
Null Object Support
The default behaviour that is implemented in Gson is that null object fields are ignored. This allows for a more compact output format; however, the client must define a default value for these fields as the JSON format is converted back into its Java.
Here's how you would configure a Gson instance to output null:
Gson gson = new GsonBuilder().serializeNulls().create();
NOTE: when serializing nulls with Gson, it will add a JsonNull element to the JsonElement structure. Therefore, this object can be used in custom serialization/deserialization.
Here's an example:
public class Foo {
private final String s;
private final int i;
public Foo() {
this(null, 5);
}
public Foo(String s, int i) {
this.s = s;
this.i = i;
}
}
Gson gson = new GsonBuilder().serializeNulls().create();
Foo foo = new Foo();
String json = gson.toJson(foo);
System.out.println(json);
json = gson.toJson(null);
System.out.println(json);
======== OUTPUT ========
{"s":null,"i":5}
null
Versioning Support
Multiple versions of the same object can be maintained by using @Since annotation. This annotation can be used on Classes, Fields and, in a future release, Methods. In order to leverage this feature, you must configure your Gson instance to ignore any field/object that is greater than some version number. If no version is set on the Gson instance then it will serialize and deserialize all fields and classes regardless of the version.
public class VersionedClass {
@Since(1.1) private final String newerField;
@Since(1.0) private final String newField;
private final String field;
public VersionedClass() {
this.newerField = "newer";
this.newField = "new";
this.field = "old";
}
}
VersionedClass versionedObject = new VersionedClass();
Gson gson = new GsonBuilder().setVersion(1.0).create();
String jsonOutput = gson.toJson(someObject);
System.out.println(jsonOutput);
System.out.println();
gson = new Gson();
jsonOutput = gson.toJson(someObject);
System.out.println(jsonOutput);
======== OUTPUT ========
{"newField":"new","field":"old"}
{"newerField":"newer","newField":"new","field":"old"}
Excluding Fields From Serialization and Deserialization
Gson supports numerous mechanisms for excluding top-level classes, fields and field types. Below are pluggable mechanism that allow field and class exclusion. If none of the below mechanism satisfy your needs then you can always use custom serializers and deserializers.
Java Modifier Exclusion
By default, if you mark a field as transient, it will be excluded. As well, if a field is marked as "static" then by default it will be excluded. If you want to include some transient fields then you can do the following:
import java.lang.reflect.Modifier;
Gson gson = new GsonBuilder()
.excludeFieldsWithModifier(Modifier.STATIC)
.create();
NOTE: you can use any number of the Modifier constants to "excludeFieldsWithModifier" method. For example:
Gson gson = new GsonBuilder()
.excludeFieldsWithModifier(Modifier.STATIC, Modifier.TRANSIENT, Modifier.VOLATILE)
.create();
Gson's @Expose
This feature provides a way where you can mark certain fields of your objects to be excluded for consideration for serialization and deserialization to JSON. To use this annotation, you must create Gson by using new GsonBuilder().excludeFieldsWithoutExposeAnnotation().create(). The Gson instance created will exclude all fields in a class that are not marked with @Expose annotation.
User Defined Exclusion Strategies
If the above mechanisms for excluding fields and class type do not work for you then you can always write your own exclusion strategy and plug it into Gson. See the ExclusionStrategy JavaDoc for more information.
The following example shows how to exclude fields marked with a specific "@Foo" annotation and excludes top-level types (or declared field type) of class String.
@Retention(RetentionPolicy.RUNTIME)
@Target({ElementType.FIELD})
public @interface Foo {
// Field tag only annotation
}
public class SampleObjectForTest {
@Foo private final int annotatedField;
private final String stringField;
private final long longField;
private final Class<?> clazzField;
public SampleObjectForTest() {
annotatedField = 5;
stringField = "someDefaultValue";
longField = 1234;
}
}
public class MyExclusionStrategy implements ExclusionStrategy {
private final Class<?> typeToSkip;
private MyExclusionStrategy(Class<?> typeToSkip) {
this.typeToSkip = typeToSkip;
}
public boolean shouldSkipClass(Class<?> clazz) {
return (clazz == typeToSkip);
}
public boolean shouldSkipField(FieldAttributes f) {
return f.getAnnotation(Foo.class) != null;
}
}
public static void main(String[] args) {
Gson gson = new GsonBuilder()
.setExclusionStrategies(new MyExclusionStrategy(String.class))
.serializeNulls()
.create();
SampleObjectForTest src = new SampleObjectForTest();
String json = gson.toJson(src);
System.out.println(json);
}
======== OUTPUT ========
{"longField":1234}
JSON Field Naming Support
Gson supports some pre-defined field naming policies to convert the standard Java field names (i.e. camel cased names starting with lower case --- "sampleFieldNameInJava") to a Json field name (i.e. sample_field_name_in_java or SampleFieldNameInJava). See the FieldNamingPolicy class for information on the pre-defined naming policies.
It also has an annotation based strategy to allows clients to define custom names on a per field basis. Note, that the annotation based strategy has field name validation which will raise "Runtime" exceptions if an invalid field name is provided as the annotation value.
The following is an example of how to use both Gson naming policy features:
private class SomeObject {
@SerializedName("custom_naming") private final String someField;
private final String someOtherField;
public SomeObject(String a, String b) {
this.someField = a;
this.someOtherField = b;
}
}
SomeObject someObject = new SomeObject("first", "second");
Gson gson = new GsonBuilder().setFieldNamingPolicy(FieldNamingPolicy.UPPER_CAMEL_CASE).create();
String jsonRepresentation = gson.toJson(someObject);
System.out.println(jsonRepresentation);
======== OUTPUT ========
{"custom_naming":"first","SomeOtherField":"second"}
If you have a need for custom naming policy (see this discussion), you can use the @SerializedName annotation.
Sharing State Across Custom Serializers and Deserializers
Sometimes you need to share state across custom serializers/deserializers (see this discussion). You can use the following three strategies to accomplish this:
Store shared state in static fields
Declare the serializer/deserializer as inner classes of a parent type, and use the instance fields of parent type to store shared state
Use Java ThreadLocal
1 and 2 are not thread-safe options, but 3 is.
Streaming
In addition Gson's object model and data binding, you can use Gson to read from and write to a stream. You can also combine streaming and object model access to get the best of both approaches.
Issues in Designing Gson
See the Gson design document for a discussion of issues we faced while designing Gson. It also include a comparison of Gson with other Java libraries that can be used for Json conversion.
Future Enhancements to Gson
For the latest list of proposed enhancements or if you'd like to suggest new ones, see the Issues section under the project website.
Overview
Gson is a Java library that can be used to convert Java Objects into their JSON representation. It can also be used to convert a JSON string to an equivalent Java object. Gson is an open-source project hosted at http://code.google.com/p/google-gson.
Gson can work with arbitrary Java objects including pre-existing objects that you do not have source-code of.
Goals for Gson
Provide easy to use mechanisms like toString() and constructor (factory method) to convert Java to JSON and vice-versa
Allow pre-existing unmodifiable objects to be converted to and from JSON
Allow custom representations for objects
Support arbitrarily complex object
Generate compact and readability JSON output
Gson Performance and Scalability
Here are some metrics that we obtained on a desktop (dual opteron, 8GB RAM, 64-bit Ubuntu) running lots of other things along-with the tests. You can rerun these tests by using the class PerformanceTest.
Strings: Deserialized strings of over 25MB without any problems (see disabled_testStringDeserializationPerformance method in PerformanceTest)
Large collections:
Serialized a collection of 1.4 million objects (see disabled_testLargeCollectionSerialization method in PerformanceTest)
Deserialized a collection of 87,000 objects (see disabled_testLargeCollectionDeserialization in PerformanceTest)
Gson 1.4 raised the deserialization limit for byte arrays and collection to over 11MB from 80KB.
Note: Delete the disabled_ prefix to run these tests. We use this prefix to prevent running these tests every time we run junit tests.
Gson Users
Gson was originally created for use inside Google where it is currently used in a number of projects. It is now used by a number of public projects and companies. See details here.
Using Gson
The primary class to use is Gson which you can just create by calling new Gson(). There is also a class GsonBuilder available that can be used to create a Gson instance with various settings like version control and so on.
The Gson instance does not maintain any state while invoking Json operations. So, you are free to reuse the same object for multiple Json serialization and deserialization operations.
Primitives Examples
(Serialization)
Gson gson = new Gson();
gson.toJson(1); ==> prints 1
gson.toJson("abcd"); ==> prints "abcd"
gson.toJson(new Long(10)); ==> prints 10
int[] values = { 1 };
gson.toJson(values); ==> prints [1]
(Deserialization)
int one = gson.fromJson("1", int.class);
Integer one = gson.fromJson("1", Integer.class);
Long one = gson.fromJson("1", Long.class);
Boolean false = gson.fromJson("false", Boolean.class);
String str = gson.fromJson("\"abc\"", String.class);
String anotherStr = gson.fromJson("[\"abc\"]", String.class);
Object Examples
class BagOfPrimitives {
private int value1 = 1;
private String value2 = "abc";
private transient int value3 = 3;
BagOfPrimitives() {
// no-args constructor
}
}
(Serialization)
BagOfPrimitives obj = new BagOfPrimitives();
Gson gson = new Gson();
String json = gson.toJson(obj);
==> json is {"value1":1,"value2":"abc"}
Note that you can not serialize objects with circular references since that will result in infinite recursion.
(Deserialization)
BagOfPrimitives obj2 = gson.fromJson(json, BagOfPrimitives.class);
==> obj2 is just like obj
Finer Points with Objects
It is perfectly fine (and recommended) to use private fields
There is no need to use any annotations to indicate a field is to be included for serialization and deserialization. All fields in the current class (and from all super classes) are included by default.
If a field is marked transient, (by default) it is ignored and not included in the JSON serialization or deserialization.
This implementation handles nulls correctly
While serialization, a null field is skipped from the output
While deserialization, a missing entry in JSON results in setting the corresponding field in the object to null
If a field is synthetic, it is ignored and not included in JSON serialization or deserialization
Fields corresponding to the outer classes in inner classes, anonymous classes, and local classes are ignored and not included in serialization or deserialization
Nested Classes (including Inner Classes)
Gson can serialize static nested classes quite easily.
Gson can also deserialize static nested classes. However, Gson can not automatically deserialize the pure inner classes since their no-args constructor also need a reference to the containing Object which is not available at the time of deserialization. You can address this problem by either making the inner class static or by providing a custom InstanceCreator for it. Here is an example:
public class A {
public String a;
class B {
public String b;
public B() {
// No args constructor for B
}
}
}
NOTE: The above class B can not (by default) be serialized with Gson.
Gson can not deserialize {"b":"abc"} into an instance of B since the class B is an inner class. if it was defined as static class B then Gson would have been able to deserialize the string. Another solution is to write a custom instance creator for B.
public class InstanceCreatorForB implements InstanceCreator<A.B> {
private final A a;
public InstanceCreatorForB(A a) {
this.a = a;
}
public A.B createInstance(Type type) {
return a.new B();
}
}
The above is possible, but not recommended.
Array Examples
Gson gson = new Gson();
int[] ints = {1, 2, 3, 4, 5};
String[] strings = {"abc", "def", "ghi"};
(Serialization)
gson.toJson(ints); ==> prints [1,2,3,4,5]
gson.toJson(strings); ==> prints ["abc", "def", "ghi"]
(Deserialization)
int[] ints2 = gson.fromJson("[1,2,3,4,5]", int[].class);
==> ints2 will be same as ints
We also support multi-dimensional arrays, with arbitrarily complex element types
Collections Examples
Gson gson = new Gson();
Collection<Integer> ints = Lists.immutableList(1,2,3,4,5);
(Serialization)
String json = gson.toJson(ints); ==> json is [1,2,3,4,5]
(Deserialization)
Type collectionType = new TypeToken<Collection<Integer>>(){}.getType();
Collection<Integer> ints2 = gson.fromJson(json, collectionType);
ints2 is same as ints
Fairly hideous: note how we define the type of collection
Unfortunately, no way to get around this in Java
Collections Limitations
Can serialize collection of arbitrary objects but can not deserialize from it
Because there is no way for the user to indicate the type of the resulting object
While deserializing, Collection must be of a specific generic type
All of this makes sense, and is rarely a problem when following good Java coding practices
Serializing and Deserializing Generic Types
When you call toJson(obj), Gson calls obj.getClass() to get information on the fields to serialize. Similarly, you can typically pass MyClass.class object in the fromJson(json, MyClass.class) method. This works fine if the object is a non-generic type. However, if the object is of a generic type, then the Generic type information is lost because of Java Type Erasure. Here is an example illustrating the point:
List<String> myStrings = new List<String>();
gson.toJson(myStrings); // Will cause a runtime exception
gson.fromJson(json, myStrings.getClass());
The above call results in a runtime exception because Gson invokes myStrings.getClass() to get its class information, but this method returns a raw class, List.class. This means that Gson has no way of knowing that this is a list of Strings, and not plain objects.
You can solve this problem by specifying the correct parameterized type for your generic type. You can do this by using the TypeToken class.
Type listType = new TypeToken<List<String>>() {}.getType();
gson.toJson(myStrings, listType);
gson.fromJson(json, listType);
The idiom used to get listType actually defines an anonymous local inner class containing a method getType() that returns the fully parameterized type.
Built-in Serializers and Deserializers
Gson has built-in serializers and deserializers for commonly used classes whose default representation may be inappropriate.
Here is a list of such classes:
java.net.URL to match it with strings like "http://code.google.com/p/google-gson/".
java.net.URI to match it with strings like "/p/google-gson/".
You can also find source-code for some commonly used classes such as JodaTime at this page.
Custom Serialization and Deserialization
Sometimes default representation is not what you want. This is often the case when dealing with library classes (DateTime, etc).
Gson allows you to register your own custom serializers and deserializers. This is done by defining two parts:
Json Serialiers: Need to define custom serialization for an object
Json Deserializers: Needed to define custom deserialization for a type
Instance Creators: Not needed if no-args constructor is available or a deserializer is registered
GsonBuilder gson = new GsonBuilder();
gson.registerTypeAdapter(MyType2.class, new MyTypeAdapter());
gson.registerTypeAdapter(MyType.class, new MySerializer());
gson.registerTypeAdapter(MyType.class, new MyDeserializer());
gson.registerTypeAdapter(MyType.class, new MyInstanceCreator());
registerTypeAdapter call checks if the type adapter implements more than one of these interfaces and register it for all of them.
Writing a Serializer
Here is an example of how to write a custom serializer for JodaTime DateTime class.
private class DateTimeSerializer implements JsonSerializer<DateTime> {
public JsonElement serialize(DateTime src, Type typeOfSrc, JsonSerializationContext context) {
return new JsonPrimitive(src.toString());
}
}
Gson calls toJson() when it runs into a DateTime object during serialization.
Writing a Deserializer
Here is an example of how to write a custom deserializer for JodaTime DateTime class.
private class DateTimeDeserializer implements JsonDeserializer<DateTime> {
public DateTime deserialize(JsonElement json, Type typeOfT, JsonDeserializationContext context)
throws JsonParseException {
return new DateTime(json.getAsJsonPrimitive().getAsString());
}
}
Gson calls fromJson() when it needs to deserialize a JSON string fragment into a DateTime object
Finer points with Serializers and Deserializers
Often you want to register a single handler for all generic types corresponding to a raw type
For example, suppose you have an "Id" class for Id representation/translation (i.e. an internal vs. external representation).
Id<T> type that has same serialization for all generic types
Essentially write out the id value
Deserialization is very similar but not exactly the same
Need to call "new Id(Class<T>, String)" which returns an instance of Id<T>
Gson supports registering a single handler for this. You can also register a specific handler for a specific generic type (say Id<RequiresSpecialHandling> needed special handling).
The Type parameter for the toJson and fromJson contains the generic type information to help you write a single handler for all generic types corresponding to the same raw type
Writing an Instance Creator
While deserializing an Object, Gson needs to create a default instance of the class
Well-behaved classes that are meant for serialization and deserialization should have a no-argument constructor
Doesn't matter whether public or private
Typically, Instance Creators are needed when you are dealing with a library class that does NOT define a no-argument constructor
Instance Creator Example
private class MoneyInstanceCreator implements InstanceCreator<Money> {
public Money createInstance(Type type) {
return new Money("1000000", CurrencyCode.USD);
}
}
Type could be of a corresponding generic type
Very useful to invoke constructors which need specific generic type information
For example, if the Id class stores the class for which the Id is being created
InstanceCreator for a Parameterized Type
Sometimes that the type that you are trying to instantiate is a parameterized type. Generally, this is not a problem since the actual instance is of raw type. Here is an example:
class MyList<T> extends ArrayList<T> {
}
class MyListInstanceCreator implements InstanceCreator<MyList<?>> {
@SuppressWarnings("unchecked")
public MyList<?> createInstance(Type type) {
// No need to use a parameterized list since the actual instance will have the raw type anyway.
return new MyList();
}
}
However, sometimes you do need to create instance based on the actual parameterized type. In this case, you can use the type parameter being passed to the createInstance method. Here is an example:
public class Id<T> {
private final Class<T> classOfId;
private final long value;
public Id(Class<T> classOfId, long value) {
this.classOfId = classOfId;
this.value = value;
}
}
class IdInstanceCreator implements InstanceCreator<Id<?>> {
public Id<?> createInstance(Type type) {
Type[] typeParameters = ((ParameterizedType)type).getActualTypeArguments();
Type idType = typeParameters[0]; // Id has only one parameterized type T
return Id.get((Class)idType, 0L);
}
}
In the above example, an instance of the Id class can not be created without actually passing in the actual type for the parameterized type. We solve this problem by using the passed method parameter, type. The type object in this case is the Java parameterized type representation of Id<Foo> where the actual instance should be bound to Id<Foo>. Since Id class has just one parameterized type parameter, T, we use the zeroth element of the type array returned by getActualTypeArgument() which will hold Foo.class in this case.
Compact Vs. Pretty Printing for JSON Output Format
The default JSON output that is provide by Gson is a compact JSON format. This means that there will not be any whitespace in the output JSON structure. Therefore, there will be no whitespace between field names and its value, object fields, and objects within arrays in the JSON output. As well, "null" fields will be ignored in the output (NOTE: null values will still be included in collections/arrays of objects). See the Null Object Support section for information on configure Gson to output all null values.
If you like to use the Pretty Print feature, you must configure your Gson instance using the GsonBuilder. The JsonFormatter is not exposed through our public API, so the client is unable to configure the default print settings/margins for the JSON output. For now, we only provide a default JsonPrintFormatter that has default line length of 80 character, 2 character indentation, and 4 character right margin.
The following is an example shows how to configure a Gson instance to use the default JsonPrintFormatter instead of the JsonCompactFormatter:
Gson gson = new GsonBuilder().setPrettyPrinting().create();
String jsonOutput = gson.toJson(someObject);
Null Object Support
The default behaviour that is implemented in Gson is that null object fields are ignored. This allows for a more compact output format; however, the client must define a default value for these fields as the JSON format is converted back into its Java.
Here's how you would configure a Gson instance to output null:
Gson gson = new GsonBuilder().serializeNulls().create();
NOTE: when serializing nulls with Gson, it will add a JsonNull element to the JsonElement structure. Therefore, this object can be used in custom serialization/deserialization.
Here's an example:
public class Foo {
private final String s;
private final int i;
public Foo() {
this(null, 5);
}
public Foo(String s, int i) {
this.s = s;
this.i = i;
}
}
Gson gson = new GsonBuilder().serializeNulls().create();
Foo foo = new Foo();
String json = gson.toJson(foo);
System.out.println(json);
json = gson.toJson(null);
System.out.println(json);
======== OUTPUT ========
{"s":null,"i":5}
null
Versioning Support
Multiple versions of the same object can be maintained by using @Since annotation. This annotation can be used on Classes, Fields and, in a future release, Methods. In order to leverage this feature, you must configure your Gson instance to ignore any field/object that is greater than some version number. If no version is set on the Gson instance then it will serialize and deserialize all fields and classes regardless of the version.
public class VersionedClass {
@Since(1.1) private final String newerField;
@Since(1.0) private final String newField;
private final String field;
public VersionedClass() {
this.newerField = "newer";
this.newField = "new";
this.field = "old";
}
}
VersionedClass versionedObject = new VersionedClass();
Gson gson = new GsonBuilder().setVersion(1.0).create();
String jsonOutput = gson.toJson(someObject);
System.out.println(jsonOutput);
System.out.println();
gson = new Gson();
jsonOutput = gson.toJson(someObject);
System.out.println(jsonOutput);
======== OUTPUT ========
{"newField":"new","field":"old"}
{"newerField":"newer","newField":"new","field":"old"}
Excluding Fields From Serialization and Deserialization
Gson supports numerous mechanisms for excluding top-level classes, fields and field types. Below are pluggable mechanism that allow field and class exclusion. If none of the below mechanism satisfy your needs then you can always use custom serializers and deserializers.
Java Modifier Exclusion
By default, if you mark a field as transient, it will be excluded. As well, if a field is marked as "static" then by default it will be excluded. If you want to include some transient fields then you can do the following:
import java.lang.reflect.Modifier;
Gson gson = new GsonBuilder()
.excludeFieldsWithModifier(Modifier.STATIC)
.create();
NOTE: you can use any number of the Modifier constants to "excludeFieldsWithModifier" method. For example:
Gson gson = new GsonBuilder()
.excludeFieldsWithModifier(Modifier.STATIC, Modifier.TRANSIENT, Modifier.VOLATILE)
.create();
Gson's @Expose
This feature provides a way where you can mark certain fields of your objects to be excluded for consideration for serialization and deserialization to JSON. To use this annotation, you must create Gson by using new GsonBuilder().excludeFieldsWithoutExposeAnnotation().create(). The Gson instance created will exclude all fields in a class that are not marked with @Expose annotation.
User Defined Exclusion Strategies
If the above mechanisms for excluding fields and class type do not work for you then you can always write your own exclusion strategy and plug it into Gson. See the ExclusionStrategy JavaDoc for more information.
The following example shows how to exclude fields marked with a specific "@Foo" annotation and excludes top-level types (or declared field type) of class String.
@Retention(RetentionPolicy.RUNTIME)
@Target({ElementType.FIELD})
public @interface Foo {
// Field tag only annotation
}
public class SampleObjectForTest {
@Foo private final int annotatedField;
private final String stringField;
private final long longField;
private final Class<?> clazzField;
public SampleObjectForTest() {
annotatedField = 5;
stringField = "someDefaultValue";
longField = 1234;
}
}
public class MyExclusionStrategy implements ExclusionStrategy {
private final Class<?> typeToSkip;
private MyExclusionStrategy(Class<?> typeToSkip) {
this.typeToSkip = typeToSkip;
}
public boolean shouldSkipClass(Class<?> clazz) {
return (clazz == typeToSkip);
}
public boolean shouldSkipField(FieldAttributes f) {
return f.getAnnotation(Foo.class) != null;
}
}
public static void main(String[] args) {
Gson gson = new GsonBuilder()
.setExclusionStrategies(new MyExclusionStrategy(String.class))
.serializeNulls()
.create();
SampleObjectForTest src = new SampleObjectForTest();
String json = gson.toJson(src);
System.out.println(json);
}
======== OUTPUT ========
{"longField":1234}
JSON Field Naming Support
Gson supports some pre-defined field naming policies to convert the standard Java field names (i.e. camel cased names starting with lower case --- "sampleFieldNameInJava") to a Json field name (i.e. sample_field_name_in_java or SampleFieldNameInJava). See the FieldNamingPolicy class for information on the pre-defined naming policies.
It also has an annotation based strategy to allows clients to define custom names on a per field basis. Note, that the annotation based strategy has field name validation which will raise "Runtime" exceptions if an invalid field name is provided as the annotation value.
The following is an example of how to use both Gson naming policy features:
private class SomeObject {
@SerializedName("custom_naming") private final String someField;
private final String someOtherField;
public SomeObject(String a, String b) {
this.someField = a;
this.someOtherField = b;
}
}
SomeObject someObject = new SomeObject("first", "second");
Gson gson = new GsonBuilder().setFieldNamingPolicy(FieldNamingPolicy.UPPER_CAMEL_CASE).create();
String jsonRepresentation = gson.toJson(someObject);
System.out.println(jsonRepresentation);
======== OUTPUT ========
{"custom_naming":"first","SomeOtherField":"second"}
If you have a need for custom naming policy (see this discussion), you can use the @SerializedName annotation.
Sharing State Across Custom Serializers and Deserializers
Sometimes you need to share state across custom serializers/deserializers (see this discussion). You can use the following three strategies to accomplish this:
Store shared state in static fields
Declare the serializer/deserializer as inner classes of a parent type, and use the instance fields of parent type to store shared state
Use Java ThreadLocal
1 and 2 are not thread-safe options, but 3 is.
Streaming
In addition Gson's object model and data binding, you can use Gson to read from and write to a stream. You can also combine streaming and object model access to get the best of both approaches.
Issues in Designing Gson
See the Gson design document for a discussion of issues we faced while designing Gson. It also include a comparison of Gson with other Java libraries that can be used for Json conversion.
Future Enhancements to Gson
For the latest list of proposed enhancements or if you'd like to suggest new ones, see the Issues section under the project website.
相关推荐
**Gson User Guide** Gson是Google开发的一个Java库,用于在Java对象和JSON数据之间进行映射。这个库使得Java对象可以被转换为JSON字符串,反之亦然,方便了数据在网络上的传输或者存储。Gson库的强大在于其灵活性...
### Gson User Guide 知识点概述 #### 一、概览 Gson 是一款由 Google 开发并维护的开源 Java 库,它主要用于实现 Java 对象与 JSON 字符串之间的相互转换。Gson 的设计目的是简化开发人员在处理 JSON 数据时的工作...
Gson是Google提供的一个用于在Java对象和JSON数据之间进行映射的Java类库。它能够把一个JSON字符串转换成一个Java对象,同时也能把一个Java对象转换为JSON字符串。Gson作为一个开源项目,可以在***找到,并且支持...
在博文《Gson User Guide》中,作者详细介绍了如何使用Gson进行JSON操作。首先,我们需要引入Gson库到项目中,这可以通过Maven或Gradle依赖管理工具来实现。对于Maven项目,可以在pom.xml文件中添加如下依赖: ```...
Gson是Google开发的一款Java语言编写的库,用于在Java对象和JSON数据之间进行映射。这个库使得Java对象可以轻松地序列化成JSON格式,同时也可以从JSON字符串反序列化回Java对象。在Java开发中,Gson库非常常见,特别...
介绍:Gson is a Java library that can be used to convert Java Objects into their JSON representation. It can also be used to convert a JSON string to an equivalent Java object. 压缩包里有以下文件: ...
User user = gson.fromJson(jsonString, User.class); ``` Gson会自动映射JSON数据到User对象的属性上。 三、集合与JSON之间的转换 1. 集合转JSON 对于List或Array等集合类型,转换方法类似: ```java List<User> ...
List<User> userList = gson.fromJson(jsonString, listType); User user = userList.get(0); // 获取列表中的第一个User对象 ``` 2. `toJson()`方法: 这个方法用于将Java对象转换为JSON格式的字符串。例如,...
User user = gson.fromJson(jsonString, User.class); ``` 2. 列表到字符串的转换(List -> String) 如果你有一个对象列表需要转换为JSON字符串,可以使用`Gson.toJson()`方法。同样,你需要确保列表中的每个元素...
User user = gson.fromJson(jsonString, User.class); ``` 这会创建一个新的User对象,其属性与JSON数据匹配。 除了基本类型,Gson还能处理复杂的JSON结构,如嵌套对象、数组等。它还支持自定义序列化和反序列化...
User user = gson.fromJson(jsonString, User.class); System.out.println(user.getName()); // 输出:John Doe System.out.println(user.getAge()); // 输出:30 ``` 此外,Gson还支持更复杂的JSON结构,如嵌套的...
1. **对象转JSON**:Gson库允许开发者将Java对象直接转换成JSON字符串,例如,一个User类的对象可以通过Gson的`toJson()`方法转化为JSON字符串。 2. **JSON转对象**:同样,Gson也能将JSON字符串解析为对应的Java...
User user = gson.fromJson(jsonString, User.class); ``` 相反,如果我们有一个`User`对象,并希望将其转换为JSON字符串,可以使用`toJson()`方法: ```java User user = new User("John", 30); String jsonString ...
User deserializedUser = new Gson().fromJson(json, User.class); ``` **应用场景:** 1. **Web服务**:在客户端和服务器之间传输数据,JSON因其轻便性和易读性成为首选格式,Gson则帮助实现对象和JSON的互换。 2....
例如,如果你有一个User类,你可以使用Gson将User对象转换成JSON格式的字符串,便于在网络上传输或者存储。 ```java public class User { private String name; private int age; // getters and setters } ...
Gson是Google开发的一款强大的Java库,用于在Java对象和JSON数据之间进行映射。它的全称是Google Gson,主要用于将Java对象转换为JSON格式的字符串,也可以将JSON字符串反序列化为对应的Java对象。在Java开发中,...
User deserializedUser = new Gson().fromJson(jsonString, User.class); ``` 这就是Gson库的基本用法。除了基础功能外,Gson还提供了丰富的API来处理复杂的JSON结构,如自定义类型适配器、日期格式化、忽略未知...
List<User> users = gson.fromJson(jsonString, collectionType); // 遍历并打印用户信息 for (User user : users) { System.out.println("Name: " + user.getName()); System.out.println("Age: " + user.getAge...
User deserializedUser = gson.fromJson(jsonInput, User.class); ``` 现在,`deserializedUser`对象将包含与原始User对象相同的数据。 **自定义类型适应器(TypeAdapter):** 在某些情况下,我们可能需要对特定...
User user = gson.fromJson(jsonString, User.class); System.out.println(user.name); // 输出:张三 System.out.println(user.age); // 输出:30 ``` 除了基本类型,Gson还支持处理复杂数据结构,如数组、集合和...