- MongoDB Async Driver
- Getting Started
- Quick Tour
MongoDB Async Driver Quick Tour
The following code snippets come from the QuickTour.java
example code
that can be found with the async driver
source.
Note
See the installation guide for instructions on how to install the MongoDB Async Driver.
Going Async with Callbacks
The MongoDB Async driver provides an asynchronous API that can leverage either Netty or Java 7’s AsynchronousSocketChannel
for fast and non-blocking IO.
The API mirrors the new Synchronous API from the MongoDB Driver, but any methods that cause network IO take a SingleResponseCallback<T>
and return immediately, where T
is the type of response for the document.
The SingleResponseCallback<T>
interface requires the implementation of a single method onResult(T result, Throwable t)
which is called when the operation has completed. The result
parameter contains the result of the operation, if successful. If the operation failed for any reason then the t
contains the Throwable
reason for the failure.
important
It’s important to always check for errors in any SingleResponseCallback<T>
implementation
and handle them appropriately! Below the error checks are left out only for the sake of brevity.
Make a Connection
The following example shows multiple ways to connect to the database mydb
on the local machine, using the
MongoClients.create
helper.
// To directly connect to the default server localhost on port 27017
MongoClient mongoClient = MongoClients.create();
// Use a Connection String
MongoClient mongoClient = MongoClients.create("mongodb://localhost");
// or a Connection String
MongoClient mongoClient = MongoClients.create(new ConnectionString("mongodb://localhost"));
// or provide custom MongoClientSettings
ClusterSettings clusterSettings = ClusterSettings.builder().hosts(asList(new ServerAddress("localhost"))).build();
MongoClientSettings settings = MongoClientSettings.builder().clusterSettings(clusterSettings).build();
MongoClient mongoClient = MongoClients.create(settings);
MongoDatabase database = mongoClient.getDatabase("mydb");
At this point, the database
object will be a connection to a MongoDB
server for the specified database.
Note
There is no callback required for getDatabase("mydb")
as there is no network IO required.
A MongoDatabase
instance provides methods to interact with a database
but the database might not actually exist and will only be created on the
insertion of data via some means; e.g. the creation of a collection or the insertion of documents
which do require callbacks as they require network IO.
MongoClient
The MongoClient
instance actually represents a pool of connections
to the database; you will only need one instance of class
MongoClient
even with multiple concurrently executing asynchronous operations.
important
Typically you only create one MongoClient
instance for a given database
cluster and use it across your application. When creating multiple instances:
- All resource usage limits (max connections, etc) apply per
MongoClient
instance - To dispose of an instance, make sure you call
MongoClient.close()
to clean up resources
Get a Collection
To get a collection to operate upon, specify the name of the collection to
the getCollection(String collectionName)
method:
The following example gets the collection test
:
MongoCollection<Document> collection = database.getCollection("test");
Insert a Document
Once you have the collection object, you can insert documents into the
collection. For example, consider the following JSON document; the document
contains a field info
which is an embedded document:
{
"name" : "MongoDB",
"type" : "database",
"count" : 1,
"info" : {
x : 203,
y : 102
}
}
To create the document using the Java driver, use the Document class. You can use this class to create the embedded document as well.
Document doc = new Document("name", "MongoDB")
.append("type", "database")
.append("count", 1)
.append("info", new Document("x", 203).append("y", 102));
To insert the document into the collection, use the insertOne()
method.
collection.insertOne(doc, new SingleResultCallback<Void>() {
@Override
public void onResult(final Void result, final Throwable t) {
System.out.println("Inserted!");
}
});
As SingleResponseCallback<T>
is a functional interface and it can be
implemented as a lambda for users on Java 8:
collection.insertOne(doc, (Void result, final Throwable t) -> System.out.println("Inserted!"));
Once the document has been inserted the onResult
callback will be called and it will
print “Inserted!”. Remember, in a normal application you would always check for the presence of
errors in the t
variable.
Add Multiple Documents
To add multiple documents, you can use the insertMany()
method.
The following example will add multiple documents of the form:
{ "i" : value }
Create the documents in a loop.
List<Document> documents = new ArrayList<Document>();
for (int i = 0; i < 100; i++) {
documents.add(new Document("i", i));
}
To insert these documents to the collection, pass the list of documents to the
insertMany()
method.
collection.insertMany(documents, new SingleResultCallback<Void>() {
@Override
public void onResult(final Void result, final Throwable t) {
System.out.println("Documents inserted!");
}
});
Count Documents in A Collection
Now that we’ve inserted 101 documents (the 100 we did in the loop, plus
the first one), we can check to see if we have them all using the
count()
method. The following code should print 101
.
collection.count(
new SingleResultCallback<Long>() {
@Override
public void onResult(final Long count, final Throwable t) {
System.out.println(count);
}
});
Query the Collection
Use the find() method to query the collection.
Find the First Document in a Collection
To get the first document in the collection, call the
first()
method on the find()
operation. collection.find().first()
returns the first document or null rather than a cursor.
This is useful for queries that should only match a single document, or if you are
interested in the first document only.
Note
Sometimes you will need the same or similar callbacks more than once. In these situations it makes sense to DRY (Do not Repeat Yourself) up your code and save the callback either as a concrete class or assign to a variable as below:
SingleResultCallback<Document> printDocument = new SingleResultCallback<Document>() {
@Override
public void onResult(final Document document, final Throwable t) {
System.out.println(document.toJson());
}
};
The following example passes the printDocument
callback to the first
method:
collection.find().first(printDocument);
The example will print the following document:
{ "_id" : { "$oid" : "551582c558c7b4fbacf16735" },
"name" : "MongoDB", "type" : "database", "count" : 1,
"info" : { "x" : 203, "y" : 102 } }
Note
The _id
element has been added automatically by MongoDB to your
document and your value will differ from that shown. MongoDB reserves field
names that start with
“_” and “$” for internal use.
Find All Documents in a Collection
To retrieve all the documents in the collection, we will use the
find()
method. The find()
method returns a FindIterable
instance that
provides a fluent interface for chaining or controlling find operations. Use the
forEach()
method to provide a Block
to apply to each document and a callback that
is run once the iteration has finished.
The following code retrieves all documents in the collection and prints them out
(101 documents) and then finally prints out “Operation Finished!”:
Block<Document> printDocumentBlock = new Block<Document>() {
@Override
public void apply(final Document document) {
System.out.println(document.toJson());
}
};
SingleResultCallback<Void> callbackWhenFinished = new SingleResultCallback<Void>() {
@Override
public void onResult(final Void result, final Throwable t) {
System.out.println("Operation Finished!");
}
};
collection.find().forEach(printDocumentBlock, callbackWhenFinished);
Get A Single Document with a Query Filter
We can create a filter to pass to the find() method to get a subset of
the documents in our collection. For example, if we wanted to find the
document for which the value of the “i” field is 71, we would do the
following (reusing the printDocument
callback):
import static com.mongodb.client.model.Filters.*;
collection.find(eq("i", 71)).first(printDocument);
will eventually print just one document:
{ "_id" : { "$oid" : "5515836e58c7b4fbc756320b" }, "i" : 71 }
Note
Use the Filters
, Sorts
,
Projections
and Updates
helpers for simple and concise ways of building up queries.
Get a Set of Documents with a Query
We can use the query to get a set of documents from our collection. For
example, if we wanted to get all documents where "i" > 50
, we could
write (reusing printDocumentBlock
block and callbackWhenFinished
callback):
// now use a range query to get a larger subset
collection.find(gt("i", 50)).forEach(printDocumentBlock, callbackWhenFinished);
which should print the documents where i > 50
.
We could also get a range, say 50 < i <= 100
:
collection.find(and(gt("i", 50), lte("i", 100))).forEach(printDocumentBlock, callbackWhenFinished);
Sorting documents
We can also use the Sorts helpers to sort documents.
We add a sort to a find query by calling the sort()
method on a FindIterable
. Below we use the exists()
helper and sort
descending("i")
helper to sort our documents:
collection.find(exists("i")).sort(descending("i")).first(printDocument);
Projecting fields
Sometimes we don’t need all the data contained in a document. The Projections
helpers can be used to build the projection parameter for the find operation and limit the fields returned.
Below we’ll sort the collection, exclude the _id
field and output the first matching document:
collection.find().projection(excludeId()).first(printDocument);
Aggregations
Sometimes we need to aggregate the data stored in MongoDB. The Aggregates
helper provides
builders for each of type of aggregation stage.
Below we’ll do a simple two step transformation that will calculate the value of i * 10
. First we find all Documents
where i > 0
by using the Aggregates.match
helper. Then we reshape the document by using Aggregates.project
in conjunction with the $multiply
operator to calculate the “ITimes10
”
value:
collection.aggregate(asList(
match(gt("i", 0)),
project(Document.parse("{ITimes10: {$multiply: ['$i', 10]}}")))
).forEach(printDocumentBlock, callbackWhenFinished);
For $group
operations use the
Accumulators
helper for any
accumulator operations. Below we sum up all the values of
i
by using the Aggregates.group
helper in conjunction with the
Accumulators.sum
helper:
collection.aggregate(singletonList(group(null, sum("total", "$i")))).first(printDocument);
Note
Currently, there are no helpers for aggregation expressions.
Use the Document.parse()
helper to quickly build aggregation expressions from extended JSON.
Updating documents
There are numerous update operators supported by MongoDB.
To update at most a single document (may be 0 if none match the filter), use the updateOne
method to specify the filter and the update document. Here we use the Updates.set
helper to update the first document that meets the filter i
equals 10
and set the value of i
to 110
:
collection.updateOne(eq("i", 10), set("i", 110),
new SingleResultCallback<UpdateResult>() {
@Override
public void onResult(final UpdateResult result, final Throwable t) {
System.out.println(result.getModifiedCount());
}
});
To update all documents matching the filter use the updateMany
method. Here we use the Updates.inc
helper to increment the value of i
by 100
where i
is less than 100
.
collection.updateMany(lt("i", 100), inc("i", 100),
new SingleResultCallback<UpdateResult>() {
@Override
public void onResult(final UpdateResult result, final Throwable t) {
System.out.println(result.getModifiedCount());
}
});
The update methods return an UpdateResult
,
which provides information about the operation including the number of documents modified by the update.
Deleting documents
To delete at most a single document (may be 0 if none match the filter) use the deleteOne
method:
collection.deleteOne(eq("i", 110), new SingleResultCallback<DeleteResult>() {
@Override
public void onResult(final DeleteResult result, final Throwable t) {
System.out.println(result.getDeletedCount());
}
});
To delete all documents matching the filter use the
deleteMany
method. Here we delete
all documents where i
is greater or equal to 100
:
collection.deleteMany(gte("i", 100), new SingleResultCallback<DeleteResult>() {
@Override
public void onResult(final DeleteResult result, final Throwable t) {
System.out.println(result.getDeletedCount());
}
});
The delete methods return a DeleteResult
,
which provides information about the operation including the number of documents deleted.
Bulk operations
These commands allow for the execution of bulk insert/update/delete operations. There are two types of bulk operations:
Ordered bulk operations.
Executes all the operation in order and error out on the first write error.
Unordered bulk operations.
Executes all the operations and reports any the errors.
Unordered bulk operations do not guarantee order of execution.
Let’s look at two simple examples using ordered and unordered operations:
SingleResultCallback<BulkWriteResult> printBatchResult = new SingleResultCallback<BulkWriteResult>() {
@Override
public void onResult(final BulkWriteResult result, final Throwable t) {
System.out.println(result);
}
};
// 2. Ordered bulk operation - order is guaranteed
collection.bulkWrite(
Arrays.asList(new InsertOneModel<>(new Document("_id", 4)),
new InsertOneModel<>(new Document("_id", 5)),
new InsertOneModel<>(new Document("_id", 6)),
new UpdateOneModel<>(new Document("_id", 1),
new Document("$set", new Document("x", 2))),
new DeleteOneModel<>(new Document("_id", 2)),
new ReplaceOneModel<>(new Document("_id", 3),
new Document("_id", 3).append("x", 4))),
printBatchResult
);
// 2. Unordered bulk operation - no guarantee of order of operation
collection.bulkWrite(
Arrays.asList(new InsertOneModel<>(new Document("_id", 4)),
new InsertOneModel<>(new Document("_id", 5)),
new InsertOneModel<>(new Document("_id", 6)),
new UpdateOneModel<>(new Document("_id", 1),
new Document("$set", new Document("x", 2))),
new DeleteOneModel<>(new Document("_id", 2)),
new ReplaceOneModel<>(new Document("_id", 3),
new Document("_id", 3).append("x", 4))),
new BulkWriteOptions().ordered(false),
printBatchResult
);
important
Use of the bulkWrite methods is not recommended when connected to pre-2.6 MongoDB servers, as this was the first server version to support bulk write commands for insert, update, and delete in a way that allows the driver to implement the correct semantics for BulkWriteResult and BulkWriteException. The methods will still work for pre-2.6 servers, but performance will suffer, as each write operation has to be executed one at a time.