Is there a way to register a codec for multiple classes? Basically, all my classes should just be serialized using a Jackson object mapper. But it seems like I have to create a custom codec for each class (even though I can abstract it a little bit using generics).
A small code example:
Codec:
class JacksonCodec<T>(private val mapper: ObjectMapper, private val clazz: Class<T>) : MessageCodec<T, T> {
override fun encodeToWire(buffer: Buffer, s: T) {
buffer.appendBytes(mapper.writeValueAsBytes(s))
}
override fun decodeFromWire(pos: Int, buffer: Buffer): T {
val length = buffer.getInt(pos)
val bytes = buffer.getBytes(pos + 4, pos + 4 + length)
return mapper.readValue(bytes, clazz)
}
...
}
register codec for each class I want to serialize:
vertx.eventBus()
.registerDefaultCodec(A::class.java, JacksonCodec(DatabindCodec.mapper(), A::class.java))
vertx.eventBus()
vertx.eventBus()
.registerDefaultCodec(B::class.java, JacksonCodec(DatabindCodec.mapper(), B::class.java))
vertx.eventBus()
The code examples are kotlin but same applies for Java.
As far as I can tell looking at the code, there is no way, as the class needs to be the exact match:
https://github.com/eclipse-vertx/vert.x/blob/master/src/main/java/io/vertx/core/eventbus/impl/CodecManager.java#L99
It is possible, with some limitations and quirks. I would not recommend doing it.
Let's start with the limitations:
It can not be used in clustered mode
You have to declare the codec name every time you send something over the eventbus.
If you create a generic codec that encodes classes with Jackson and every time you send something over the eventbus you make sure to add it using codecName in the deliveryOptions, you can register it only once and use it for all of your classes.
Full example:
fun main() {
val vertx = Vertx.vertx()
vertx.eventBus().registerCodec(GenericCodec())
vertx.eventBus().consumer<Foo>("test-address") {
println(it.body())
it.reply(Bar(), genericDeliveryOptions)
}
vertx.eventBus().request<String>("test-address", Foo(), genericDeliveryOptions) {
println(it.result().body())
}
vertx.close()
}
data class Foo(
val foo: String = "foo",
)
data class Bar(
val bar: String = "bar",
)
class GenericCodec : MessageCodec<Any, Any> {
companion object {
const val NAME = "generic"
}
private val mapper: ObjectMapper = ObjectMapper()
override fun encodeToWire(buffer: Buffer, s: Any) {
buffer.appendBytes(mapper.writeValueAsBytes(s))
}
override fun decodeFromWire(pos: Int, buffer: Buffer): Any {
throw RuntimeException("should never get here, unless using clustered mode")
}
override fun transform(s: Any): Any {
return s
}
override fun name(): String {
return NAME
}
override fun systemCodecID(): Byte {
return -1
}
}
val genericDeliveryOptions = deliveryOptionsOf(codecName = GenericCodec.NAME)
Related
Assume we have the following suspend function:
suspend fun doSomething(): List<MyClass> { ... }
If I want to call this function in one of my existing Java classes (which I'm not able to convert to Kotlin for now) and get its return value I have to provide a Continuation<? super List<MyClass>> as its parameter (Obviously).
My question is, How can I implement one. Specially its getContext getter.
First, add org.jetbrains.kotlinx:kotlinx-coroutines-jdk8 module to your dependencies. In your Kotlin file define the following async function that corresponds to Java style of writing async APIs:
fun doSomethingAsync(): CompletableFuture<List<MyClass>> =
GlobalScope.future { doSomething() }
Now use doSomethingAsync from Java in the same way as you are using other asynchronous APIs in the Java world.
If you dont want to use org.jetbrains.kotlinx:kotlinx-coroutines-jdk8, I have a new idea.
Write below code in your kotlin project.
#JvmOverloads
fun <R> getContinuation(onFinished: BiConsumer<R?, Throwable?>, dispatcher: CoroutineDispatcher = Dispatchers.Default): Continuation<R> {
return object : Continuation<R> {
override val context: CoroutineContext
get() = dispatcher
override fun resumeWith(result: Result<R>) {
onFinished.accept(result.getOrNull(), result.exceptionOrNull())
}
}
}
I write it in my Coroutines class
Then you can call your suspend function like:
Coroutines coroutines = new Coroutines();
UserUtils.INSTANCE.login("user", "pass", coroutines.getContinuation(
(tokenResult, throwable) -> {
System.out.println("Coroutines finished");
System.out.println("Result: " + tokenResult);
System.out.println("Exception: " + throwable);
}
));
login() function is a suspend function.
suspend fun login(username: String, password: String): TokenResult
For your code, you can:
doSomething(getContinuation((result, throwable) -> {
//TODO
}));
Besides, you may want to run your callback code in different thread (e.g. Main thread), just use launch(Dispathers.Main) to wrap resumeWith()
Update: My friend has developed a plugin kotlin-jvm-blocking-bridge that can automatically generate blocking bridges for calling suspend functions from Java with minimal effort, also give it a try.
For coroutines 1.3.0 use this:
BuildersKt.launch(GlobalScope.INSTANCE,
Dispatchers.getMain(),//context to be ran on
CoroutineStart.DEFAULT,
(coroutineScope, continuation) -> suspendFunction(arguments)
);
For java < 8:
BuildersKt.launch(
GlobalScope.INSTANCE,
Dispatchers.getMain(),//context to be ran on
CoroutineStart.DEFAULT,
new Function2<CoroutineScope, Continuation<? super Unit>, Unit/*or your return type here*/>() {
#Override
public Unit/*or your return type here*/ invoke(CoroutineScope coroutineScope, Continuation<? super Unit> continuation) {
//do what you want
return Unit.INSTANCE; //or something with the defined type
}
}
);
My gradle file:
implementation "org.jetbrains.kotlin:kotlin-stdlib-jdk7:1.3.50"
implementation "org.jetbrains.kotlinx:kotlinx-coroutines-core:1.3.0"
implementation "org.jetbrains.kotlinx:kotlinx-coroutines-android:1.3.0"
Kotlin uses static classes for extension functions, launch is an extension function, so it is defined in BuildersKt. The first parameter is the target of the extension function, the rest are the parameters from the extension functions.
I created interface class based on #Kenvix answer to make it compatible with old Android SDK (lower than API 24)
interface CoroutineCallback<RESULT> {
companion object {
#JvmOverloads
fun <R> call(
callback: CoroutineCallback<R>,
dispatcher: CoroutineDispatcher = Dispatchers.Default
): Continuation<R> {
return object : Continuation<R> {
override val context: CoroutineContext
get() = dispatcher
override fun resumeWith(result: Result<R>) {
callback.onComplete(result.getOrNull(), result.exceptionOrNull())
}
}
}
}
fun onComplete(result: RESULT?, error: Throwable?)
}
usage
class kotlinClass {
suspend doSomething(foo, bar) : FooBar {}
}
class javaClass {
void doSomething(){
kotlinClassObject.doSomething("foo", "bar", CoroutineCallback.Companion.call((fooBar, error) -> {
//do something with result or error
}));
}
}
now call suspend function from any java class by passing CoroutineCallback
Assume we have the following suspend function:
suspend fun doSomething(): List<MyClass> { ... }
If I want to call this function in one of my existing Java classes (which I'm not able to convert to Kotlin for now) and get its return value I have to provide a Continuation<? super List<MyClass>> as its parameter (Obviously).
My question is, How can I implement one. Specially its getContext getter.
First, add org.jetbrains.kotlinx:kotlinx-coroutines-jdk8 module to your dependencies. In your Kotlin file define the following async function that corresponds to Java style of writing async APIs:
fun doSomethingAsync(): CompletableFuture<List<MyClass>> =
GlobalScope.future { doSomething() }
Now use doSomethingAsync from Java in the same way as you are using other asynchronous APIs in the Java world.
If you dont want to use org.jetbrains.kotlinx:kotlinx-coroutines-jdk8, I have a new idea.
Write below code in your kotlin project.
#JvmOverloads
fun <R> getContinuation(onFinished: BiConsumer<R?, Throwable?>, dispatcher: CoroutineDispatcher = Dispatchers.Default): Continuation<R> {
return object : Continuation<R> {
override val context: CoroutineContext
get() = dispatcher
override fun resumeWith(result: Result<R>) {
onFinished.accept(result.getOrNull(), result.exceptionOrNull())
}
}
}
I write it in my Coroutines class
Then you can call your suspend function like:
Coroutines coroutines = new Coroutines();
UserUtils.INSTANCE.login("user", "pass", coroutines.getContinuation(
(tokenResult, throwable) -> {
System.out.println("Coroutines finished");
System.out.println("Result: " + tokenResult);
System.out.println("Exception: " + throwable);
}
));
login() function is a suspend function.
suspend fun login(username: String, password: String): TokenResult
For your code, you can:
doSomething(getContinuation((result, throwable) -> {
//TODO
}));
Besides, you may want to run your callback code in different thread (e.g. Main thread), just use launch(Dispathers.Main) to wrap resumeWith()
Update: My friend has developed a plugin kotlin-jvm-blocking-bridge that can automatically generate blocking bridges for calling suspend functions from Java with minimal effort, also give it a try.
For coroutines 1.3.0 use this:
BuildersKt.launch(GlobalScope.INSTANCE,
Dispatchers.getMain(),//context to be ran on
CoroutineStart.DEFAULT,
(coroutineScope, continuation) -> suspendFunction(arguments)
);
For java < 8:
BuildersKt.launch(
GlobalScope.INSTANCE,
Dispatchers.getMain(),//context to be ran on
CoroutineStart.DEFAULT,
new Function2<CoroutineScope, Continuation<? super Unit>, Unit/*or your return type here*/>() {
#Override
public Unit/*or your return type here*/ invoke(CoroutineScope coroutineScope, Continuation<? super Unit> continuation) {
//do what you want
return Unit.INSTANCE; //or something with the defined type
}
}
);
My gradle file:
implementation "org.jetbrains.kotlin:kotlin-stdlib-jdk7:1.3.50"
implementation "org.jetbrains.kotlinx:kotlinx-coroutines-core:1.3.0"
implementation "org.jetbrains.kotlinx:kotlinx-coroutines-android:1.3.0"
Kotlin uses static classes for extension functions, launch is an extension function, so it is defined in BuildersKt. The first parameter is the target of the extension function, the rest are the parameters from the extension functions.
I created interface class based on #Kenvix answer to make it compatible with old Android SDK (lower than API 24)
interface CoroutineCallback<RESULT> {
companion object {
#JvmOverloads
fun <R> call(
callback: CoroutineCallback<R>,
dispatcher: CoroutineDispatcher = Dispatchers.Default
): Continuation<R> {
return object : Continuation<R> {
override val context: CoroutineContext
get() = dispatcher
override fun resumeWith(result: Result<R>) {
callback.onComplete(result.getOrNull(), result.exceptionOrNull())
}
}
}
}
fun onComplete(result: RESULT?, error: Throwable?)
}
usage
class kotlinClass {
suspend doSomething(foo, bar) : FooBar {}
}
class javaClass {
void doSomething(){
kotlinClassObject.doSomething("foo", "bar", CoroutineCallback.Companion.call((fooBar, error) -> {
//do something with result or error
}));
}
}
now call suspend function from any java class by passing CoroutineCallback
I am trying to learn Kotlin and delegates are both interesting and confusing. I have a situation where, in a java class I would take a constructor arg, create a Future (the ID represents a resource in another system) and stash the Future as an instange variable. Then the "getXXX" would call Future.get()
Here is a sample java class
public class Example {
private Future<Foo> foo;
public Example(String fooId) {
this.foo = supplyAsync(() -> httpClient.get(fooId));
}
public Foo getFoo() {
return foo.get();
}
}
I am not supplying the Kotlin example because I am simply not sure how to construct it.
You can translate your Java code to Kotlin in a straightforward way using custom property getters:
class Example(fooId: Int) {
private val fooFuture = supplyAsync { httpClient.get(fooId) }
val foo: Foo
get() = fooFuture.get()
}
But Kotlin has a more powerful concept for generalizing property behavior -- the property delegates:
class Example {
val foo: Foo by someDelegate
}
In this example, someDelegate is an object that defines the behavior of property foo.
Though Future<V> cannot be used as a delegate out of the box in Kotlin, you can create your own property delegates by implementing getValue(thisRef, property) and (for mutable properties) setValue(thisRef, property, value) functions, thus explicitly providing the code to be executed when a property is read (and written, if mutable).
These functions can be either member functions for your project classes or extension functions, which fits the case with Future<V>. Basically, to use Future<V> as a property delegate, you have to define the getValue(thisRef, value) extension function for it, for example:
operator fun <V> Future<V>.getValue(thisRef: Any?, property: KProperty<*>) = get()
Here, the value the delegate will provide for a property will be simply taken from the Future::get call, but a proper implementation should probably take care of cancellation and exceptions handling. For this purpose, you can wrap a Future<V> into a class that will also define the fallback values/strategies, and then use this class' objects in by.
Then you can use Future<V> objects as delegates for your properties:
class Example(fooId: Int) {
val foo: Foo by supplyAsync { Thread.sleep(2000); fooId }
}
fun main(args: Array<String>) {
val e = Example(123)
println(e.foo)
}
To complete the answer from hotkey I propose this solution for a ReadWrite property
fun <V> Future<out V>.asDelegate(mayInterruptIfRunning: Boolean = false) =
object : ReadWriteProperty<Any?, V> {
private val lock = Object()
private var completedOrCanceled: Boolean = false
private var mValue: V? = null
override fun getValue(thisRef: Any?, property: KProperty<*>): V {
synchronized(lock) {
if (!completedOrCanceled) {
mValue = get()
completedOrCanceled = true
}
}
#Suppress("UNCHECKED_CAST")
return mValue as V
}
override fun setValue(thisRef: Any?, property: KProperty<*>, value: V) {
synchronized(lock) {
if (!completedOrCanceled) {
cancel(mayInterruptIfRunning)
completedOrCanceled = true
}
mValue = value
}
}
}
Usage could be :
class Example(fooId: Int) {
var foo: Foo by supplyAsync { Thread.sleep(2000); print("job done "); fooId }.asDelegate()
}
fun main(args: Array<String>) {
val e = Example(123)
println(e.foo) //"job done 123" printed after 2 sec
val f = Example(123)
f.foo = 456 //without waiting
println(e.foo) //"456" printed immediately
//"job done " printed after 2 sec
val g = Example(123) //"job done " printed after 2 sec
Thread.sleep(3000) //wait 3 sec then
println(e.foo) //"123" printed immediately
g.foo = 456
println(e.foo) //"456" printed immediately
}
note that if mayInterruptIfRunning is set to true then "job done " won't be printed if f.foo = 456 is called before the 2 sec
I am very new to Gson and Json. I have simple Events that I want to serialize through Json with the help of Gson.
Note: Code in Kotlin.
public abstract class Event() {
}
public class Move : Event() {
var from: Point? = null
var to: Point? = null
}
public class Fire : Event() {
var damage: Int = 0
var area: ArrayList<Point> = ArrayList(0)
}
public class Build : Event() {
var to: Point? = null
var type: String = ""
var owner: String = ""
}
I am persisting bunch of these via this way:
val list: ArrayList<Event>() = ArrayList()
list.add(move)
list.add(fire)
val str = gson.toJson(events)
And unpersisting:
val type = object : TypeToken<ArrayList<Event>>(){}.getType()
val eventStr = obj.getString("events")
val events: ArrayList<Event> = gson.fromJson(eventStr, type)
I have tried both creating a serializer & deserializer for Event-class, and registering it via registerTypeAdapter, and I have also tried the RuntimeTypeAdapterFactory, but neither will persist the information required to unpersist the correct type.
For example, the RuntimeTypeAdapterFactory says:
"cannot deserialize Event because it does not define a field named type"
EDIT: Here's the code for the "Adapter", which was.. well, adapted from another StackOverflow post:
public class Adapter :
JsonSerializer<Event>,
JsonDeserializer<Event> {
final val CLASSNAME = "CLASSNAME"
final val INSTANCE = "INSTANCE"
override fun serialize(src: Event?, typeOfSrc: Type?, context: JsonSerializationContext?): JsonElement? {
val obj = JsonObject()
val className = (src as Event).javaClass.getCanonicalName()
obj.addProperty(CLASSNAME, className)
val elem = context!!.serialize(src)
obj.add(INSTANCE, elem)
return obj
}
override fun deserialize(json: JsonElement?, typeOfT: Type?, context: JsonDeserializationContext?): Event? {
val jsonObject = json!!.getAsJsonObject()
val prim = jsonObject.get(CLASSNAME)
val className = prim.getAsString()
val klass = Class.forName(className)
return context!!.deserialize(jsonObject.get(INSTANCE), klass)
}
}
This code fails with NullPointerException on line:
val className = prim.getAsString()
You can't do it this way.
The example you are referring is not targeted to your case. It works in only one case: if you register base type (not type hierarchy) and serialize using gson.toJson(obj, javaClass<Event>()). It will never work for array except you write custom serializer for you events container object too
Generally you need another approach: use TypeAdapterFactory and delegate adapters: GSON: serialize/deserialize object of class, that have registered type hierarchy adapter, using ReflectiveTypeAdapterFactory.Adapter and https://code.google.com/p/google-gson/issues/detail?id=43#c15
I believe this approach is overcomplicated so if you have few types the easiest solution is two serialize these types by hand, field by field via custom serializer and forget about attempts to delegate to default
Although similar to Convert DBObject to a POJO using MongoDB Java Driver my question is different in that I am specifically interested in using Jackson for mapping.
I have an object which I want to convert to a Mongo DBObject instance. I want to use the Jackson JSON framework to do the job.
One way to do so is:
DBObject dbo = (DBObject)JSON.parse(m_objectMapper.writeValueAsString(entity));
However, according to https://github.com/FasterXML/jackson-docs/wiki/Presentation:-Jackson-Performance this is the worst way to go. So, I am looking for an alternative. Ideally, I would like to be able to hook into the JSON generation pipeline and populate a DBObject instance on the fly. This is possible, because the target in my case is a BasicDBObject instance, which implements the Map interface. So, it should fit into the pipeline easily.
Now, I know I can convert an object to Map using the ObjectMapper.convertValue function and then recursively convert the map to a BasicDBObject instance using the map constructor of the BasicDBObject type. But, I want to know if I can eliminate the intermediate map and create the BasicDBObject directly.
Note, that because a BasicDBObject is essentially a map, the opposite conversion, namely from a scalar DBObject to a POJO is trivial and should be quite efficient:
DBObject dbo = getDBO();
Class clazz = getObjectClass();
Object pojo = m_objectMapper.convertValue(dbo, clazz);
Lastly, my POJO do not have any JSON annotations and I would like it to keep this way.
You can probably use Mixin annotations to annotate your POJO and the BasicDBObject (or DBObject), so annotations is not a problem. Since BasicDBOject is a map, you can use #JsonAnySetter on the put method.
m_objectMapper.addMixInAnnotations(YourMixIn.class, BasicDBObject.class);
public interface YourMixIn.class {
#JsonAnySetter
void put(String key, Object value);
}
This is all I can come up with since I have zero experience with MongoDB Object.
Update: MixIn are basically a Jackson mechanism to add annotation to a class without modifying said class. This is a perfect fit when you don't have control over the class you want to marshal (like when it's from an external jar) or when you don't want to clutter your classes with annotation.
In your case here, you said that BasicDBObject implements the Map interface, so that class has the method put, as defined by the map interface. By adding #JsonAnySetter to that method, you tell Jackson that whenever he finds a property that he doesn't know after introspection of the class to use the method to insert the property to the object. The key is the name of the property and the value is, well, the value of the property.
All this combined makes the intermediate map go away, since Jackson will directly convert to the BasicDBOject because it now knows how to deserialize that class from Json. With that configuration, you can do:
DBObject dbo = m_objectMapper.convertValue(pojo, BasicDBObject.class);
Note that I haven't tested this because I don't work with MongoDB, so there might be some loose ends. However, I have used the same mechanism for similar use cases without any problem. YMMV depending on the classes.
Here's an example of a simple serializer (written in Scala) from POJO to BsonDocument which could be used with version 3 of Mongo driver. The de-serializer would be somewhat more difficult to write.
Create a BsonObjectGenerator object which would do a streaming serialization to Mongo Bson directly:
val generator = new BsonObjectGenerator
mapper.writeValue(generator, POJO)
generator.result()
Here's the code for a serializer:
class BsonObjectGenerator extends JsonGenerator {
sealed trait MongoJsonStreamContext extends JsonStreamContext
case class MongoRoot(root: BsonDocument = BsonDocument()) extends MongoJsonStreamContext {
_type = JsonStreamContext.TYPE_ROOT
override def getCurrentName: String = null
override def getParent: MongoJsonStreamContext = null
}
case class MongoArray(parent: MongoJsonStreamContext, arr: BsonArray = BsonArray()) extends MongoJsonStreamContext {
_type = JsonStreamContext.TYPE_ARRAY
override def getCurrentName: String = null
override def getParent: MongoJsonStreamContext = parent
}
case class MongoObject(name: String, parent: MongoJsonStreamContext, obj: BsonDocument = BsonDocument()) extends MongoJsonStreamContext {
_type = JsonStreamContext.TYPE_OBJECT
override def getCurrentName: String = name
override def getParent: MongoJsonStreamContext = parent
}
private val root = MongoRoot()
private var node: MongoJsonStreamContext = root
private var fieldName: String = _
def result(): BsonDocument = root.root
private def unsupported(): Nothing = throw new UnsupportedOperationException
override def disable(f: Feature): JsonGenerator = this
override def writeStartArray(): Unit = {
val array = new BsonArray
node match {
case MongoRoot(o) =>
o.append(fieldName, array)
fieldName = null
case MongoArray(_, a) =>
a.add(array)
case MongoObject(_, _, o) =>
o.append(fieldName, array)
fieldName = null
}
node = MongoArray(node, array)
}
private def writeBsonValue(value: BsonValue): Unit = node match {
case MongoRoot(o) =>
o.append(fieldName, value)
fieldName = null
case MongoArray(_, a) =>
a.add(value)
case MongoObject(_, _, o) =>
o.append(fieldName, value)
fieldName = null
}
private def writeBsonString(text: String): Unit = {
writeBsonValue(BsonString(text))
}
override def writeString(text: String): Unit = writeBsonString(text)
override def writeString(text: Array[Char], offset: Int, len: Int): Unit = writeBsonString(new String(text, offset, len))
override def writeString(text: SerializableString): Unit = writeBsonString(text.getValue)
private def writeBsonFieldName(name: String): Unit = {
fieldName = name
}
override def writeFieldName(name: String): Unit = writeBsonFieldName(name)
override def writeFieldName(name: SerializableString): Unit = writeBsonFieldName(name.getValue)
override def setCodec(oc: ObjectCodec): JsonGenerator = this
override def useDefaultPrettyPrinter(): JsonGenerator = this
override def getFeatureMask: Int = 0
private def writeBsonBinary(data: Array[Byte]): Unit = {
writeBsonValue(BsonBinary(data))
}
override def writeBinary(bv: Base64Variant, data: Array[Byte], offset: Int, len: Int): Unit = {
val res = if (offset != 0 || len != data.length) {
val subset = new Array[Byte](len)
System.arraycopy(data, offset, subset, 0, len)
subset
} else {
data
}
writeBsonBinary(res)
}
override def writeBinary(bv: Base64Variant, data: InputStream, dataLength: Int): Int = unsupported()
override def isEnabled(f: Feature): Boolean = false
override def writeRawUTF8String(text: Array[Byte], offset: Int, length: Int): Unit = writeBsonString(new String(text, offset, length, "UTF-8"))
override def writeRaw(text: String): Unit = unsupported()
override def writeRaw(text: String, offset: Int, len: Int): Unit = unsupported()
override def writeRaw(text: Array[Char], offset: Int, len: Int): Unit = unsupported()
override def writeRaw(c: Char): Unit = unsupported()
override def flush(): Unit = ()
override def writeRawValue(text: String): Unit = writeBsonString(text)
override def writeRawValue(text: String, offset: Int, len: Int): Unit = writeBsonString(text.substring(offset, offset + len))
override def writeRawValue(text: Array[Char], offset: Int, len: Int): Unit = writeBsonString(new String(text, offset, len))
override def writeBoolean(state: Boolean): Unit = {
writeBsonValue(BsonBoolean(state))
}
override def writeStartObject(): Unit = {
node = node match {
case p#MongoRoot(o) =>
MongoObject(null, p, o)
case p#MongoArray(_, a) =>
val doc = new BsonDocument
a.add(doc)
MongoObject(null, p, doc)
case p#MongoObject(_, _, o) =>
val doc = new BsonDocument
val f = fieldName
o.append(f, doc)
fieldName = null
MongoObject(f, p, doc)
}
}
override def writeObject(pojo: scala.Any): Unit = unsupported()
override def enable(f: Feature): JsonGenerator = this
override def writeEndArray(): Unit = {
node = node match {
case MongoRoot(_) => unsupported()
case MongoArray(p, a) => p
case MongoObject(_, _, _) => unsupported()
}
}
override def writeUTF8String(text: Array[Byte], offset: Int, length: Int): Unit = writeBsonString(new String(text, offset, length, "UTF-8"))
override def close(): Unit = ()
override def writeTree(rootNode: TreeNode): Unit = unsupported()
override def setFeatureMask(values: Int): JsonGenerator = this
override def isClosed: Boolean = unsupported()
override def writeNull(): Unit = {
writeBsonValue(BsonNull())
}
override def writeNumber(v: Int): Unit = {
writeBsonValue(BsonInt32(v))
}
override def writeNumber(v: Long): Unit = {
writeBsonValue(BsonInt64(v))
}
override def writeNumber(v: BigInteger): Unit = unsupported()
override def writeNumber(v: Double): Unit = {
writeBsonValue(BsonDouble(v))
}
override def writeNumber(v: Float): Unit = {
writeBsonValue(BsonDouble(v))
}
override def writeNumber(v: BigDecimal): Unit = unsupported()
override def writeNumber(encodedValue: String): Unit = unsupported()
override def version(): Version = unsupported()
override def getCodec: ObjectCodec = unsupported()
override def getOutputContext: JsonStreamContext = node
override def writeEndObject(): Unit = {
node = node match {
case p#MongoRoot(_) => p
case MongoArray(p, a) => unsupported()
case MongoObject(_, p, _) => p
}
}
}
You might be intereted in checking how jongo does it. It is open source and the code can be found on github. Or you could also simply use their library. I use a mix of jongo and plain DBObjects when I need more flexibility.
They claim that they are (almost) as fast as using the Java driver directly so I suppose their method is efficient.
I use the little helper utility class below which is inspired from their code base and uses a mix of Jongo (the MongoBsonFactory) and Jackson to convert between DBObjects and POJOs. Note that the getDbObject method does a deep copy of the DBObject to make it editable - if you don't need to customise anything you can remove that part and improve performance.
import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.ObjectReader;
import com.fasterxml.jackson.databind.ObjectWriter;
import com.fasterxml.jackson.databind.introspect.VisibilityChecker;
import com.mongodb.BasicDBObject;
import com.mongodb.DBEncoder;
import com.mongodb.DBObject;
import com.mongodb.DefaultDBEncoder;
import com.mongodb.LazyWriteableDBObject;
import java.io.ByteArrayOutputStream;
import java.io.IOException;
import org.bson.LazyBSONCallback;
import org.bson.io.BasicOutputBuffer;
import org.bson.io.OutputBuffer;
import org.jongo.marshall.jackson.bson4jackson.MongoBsonFactory;
public class JongoUtils {
private final static ObjectMapper mapper = new ObjectMapper(MongoBsonFactory.createFactory());
static {
mapper.setVisibilityChecker(VisibilityChecker.Std.defaultInstance().withFieldVisibility(
JsonAutoDetect.Visibility.ANY));
}
public static DBObject getDbObject(Object o) throws IOException {
ObjectWriter writer = mapper.writer();
ByteArrayOutputStream baos = new ByteArrayOutputStream();
writer.writeValue(baos, o);
DBObject dbo = new LazyWriteableDBObject(baos.toByteArray(), new LazyBSONCallback());
//turn it into a proper DBObject otherwise it can't be edited.
DBObject result = new BasicDBObject();
result.putAll(dbo);
return result;
}
public static <T> T getPojo(DBObject o, Class<T> clazz) throws IOException {
ObjectReader reader = mapper.reader(clazz);
DBEncoder dbEncoder = DefaultDBEncoder.FACTORY.create();
OutputBuffer buffer = new BasicOutputBuffer();
dbEncoder.writeObject(buffer, o);
T pojo = reader.readValue(buffer.toByteArray());
return pojo;
}
}
Sample usage:
Pojo pojo = new Pojo(...);
DBObject o = JongoUtils.getDbObject(pojo);
//you can customise it if you want:
o.put("_id", pojo.getId());
I understand that this is a very old question, but if asked today I would instead recommend the built-in POJO support on the official Mongo Java driver.
Here's an update to assylias' answer that doesn't require Jongo and is compatible with the Mongo 3.x drivers. It also handles nested object graphs, I couldn't get that to work with LazyWritableDBObject which has been removed in the mongo 3.x drivers anyway.
The idea is to tell Jackson how to serialize an object to a BSON byte array, and then deserialize the BSON byte array into BasicDBObject. I'm sure you can find some low level API in the mongo-java-drivers if you want to ship the BSON bytes directly to the database. You will need a dependency to bson4jackson in order for ObjectMapper to serialize BSON when you call writeValues(ByteArrayOutputStream, Object):
import com.fasterxml.jackson.databind.ObjectMapper;
import com.mongodb.BasicDBObject;
import com.mongodb.DBObject;
import de.undercouch.bson4jackson.BsonFactory;
import de.undercouch.bson4jackson.BsonParser;
import org.bson.BSON;
import org.bson.BSONObject;
import java.io.ByteArrayOutputStream;
import java.io.IOException;
public class MongoUtils {
private static ObjectMapper mapper;
static {
BsonFactory bsonFactory = new BsonFactory();
bsonFactory.enable(BsonParser.Feature.HONOR_DOCUMENT_LENGTH);
mapper = new ObjectMapper(bsonFactory);
}
public static DBObject getDbObject(Object o) {
try {
ByteArrayOutputStream baos = new ByteArrayOutputStream();
mapper.writeValue(baos, o);
BSONObject decode = BSON.decode(baos.toByteArray());
return new BasicDBObject(decode.toMap());
} catch (IOException e) {
throw new RuntimeException(e);
}
}
}