- Scala Driver
- Quick Start
MongoDB Scala Driver Quick Start
The following code snippets come from the QuickTour.java
example code
that can be found with the Scala driver source on github.
Note
See the installation guide for instructions on how to install the MongoDB Scala Driver.
important
This guide uses the Observable
implicits as covered in the Quick Start Primer.
Prerequisites
A running MongoDB on localhost using the default port for MongoDB
27017
MongoDB Scala Driver. See Installation for instructions on how to install the MongoDB driver.
The following import statements:
New MongoClient API (since 3.7):
import org.mongodb.scala._
import org.mongodb.scala.model.Aggregates._
import org.mongodb.scala.model.Filters._
import org.mongodb.scala.model.Projections._
import org.mongodb.scala.model.Sorts._
import org.mongodb.scala.model.Updates._
import org.mongodb.scala.model._
import scala.collection.JavaConverters._
Make a Connection
Use the MongoClient
companion object to make a connection to a running MongoDB instance.
The MongoClient
instance represents a pool of connections to the database; you will only need one instance of class MongoClient
even with multiple concurrent operations.
important
Typically you only create one MongoClient
instance for a given MongoDB deployment (e.g. standalone, replica set, or a sharded cluster) and use it across your application. However, if you do create multiple instances:
All resource usage limits (e.g. max connections, etc.) apply per
MongoClient
instance.To dispose of an instance, call
MongoClient.close()
to clean up resources.
Connect to a Single MongoDB instance
The following example shows several ways to connect to a single MongoDB server.
To connect to a single MongoDB instance:
- You can instantiate a MongoClient object without any parameters to connect to a MongoDB instance running on localhost on port
27017
:
val mongoClient: MongoClient = MongoClient()
- You can explicitly specify the hostname to connect to a MongoDB instance running on the specified host on port
27017
:
val mongoClient: MongoClient = MongoClient(
MongoClientSettings.builder()
.applyToClusterSettings((builder: ClusterSettings.Builder) => builder.hosts(List(new ServerAddress("hostOne")).asJava))
.build())
- You can explicitly specify the hostname and the port:
val mongoClient: MongoClient = MongoClient(
MongoClientSettings.builder()
.applyToClusterSettings((builder: ClusterSettings.Builder) => builder.hosts(List(new ServerAddress("hostOne", 27017)).asJava))
.build())
- You can specify the
ConnectionString
:
val mongoClient: MongoClient = MongoClient("mongodb://hostOne:27017")
Access a Database
Once you have a MongoClient
instance connected to a MongoDB deployment, use the MongoClient.getDatabase()
method to access a database.
Specify the name of the database to the getDatabase()
method. If a database does not exist, MongoDB creates the database when you first store data for that database.
The following example accesses the mydb
database:
val database: MongoDatabase = mongoClient.getDatabase("mydb")
MongoDatabase
instances are immutable.
Access a Collection
Once you have a MongoDatabase
instance, use its the getCollection(String collectionName)
method to access a collection.
Specify the name of the collection to the getCollection()
method. If a collection does not exist, MongoDB creates the collection when you first store data for that collection.
For example, using the database
instance, the following statement accesses the collection named test
in the mydb
database:
val collection: MongoCollection[Document] = database.getCollection("test")
MongoCollection
instances are immutable.
Create a Document
To create the document using the Scala driver, use the Document
class.
For example, consider the following JSON document:
{
"name" : "MongoDB",
"type" : "database",
"count" : 1,
"info" : { x : 203, y : 102 }
}
Using the Document
class:
val doc: Document = Document("_id" -> 0, "name" -> "MongoDB", "type" -> "database",
"count" -> 1, "info" -> Document("x" -> 203, "y" -> 102))
Insert a Document
Once you have the MongoCollection
object, you can insert documents into the collection.
Insert One Document
To insert the document into the collection, use the insertOne()
method. Using the results()
implicit helper we block until the observer is completed:
collection.insertOne(doc).results()
warning
The Scala driver provides two document types - an immutable Document
and a mutable Document
.
When using an immutable document then you should explicitly add an _id
value, if you need to know that _id
value in the future.
If an _id
is not present on insertion then driver will add one automatically create one and pass it to the server, but that _id
will not be
passed back to the user.
important
In the API all methods returning a Observables
are “cold” streams meaning that nothing happens until they are subscribed to.
The example below does nothing:
val observable: Observable[InsertOneResult] = collection.insertOne(doc)
Only when a Observable
is subscribed to and data requested will the operation happen:
observable.subscribe(new Observer[InsertOneResult] {
override def onSubscribe(subscription: Subscription): Unit = subscription.request(1)
override def onNext(result: InsertOneResult): Unit = println(s"onNext $result")
override def onError(e: Throwable): Unit = println("Failed")
override def onComplete(): Unit = println("Completed")
})
Once the document has been inserted the onNext
method will be called and it will
print “Inserted!” followed by the result. Finally the onComplete
method will print “Completed”.
If there was an error for any reason the onError
method would print “Failed”..
Insert Multiple Documents
To add multiple documents, you can use the collection’s insertMany()
method which takes a list of documents to insert.
The following example will add multiple documents of the form:
{ "i" : value }
Create the documents in a loop.
val documents = (1 to 100) map { i: Int => Document("i" -> i) }
To insert these documents to the collection, pass the list of documents to the
insertMany()
method.
val insertObservable = collection.insertMany(documents)
As we haven’t subscribed yet no documents have been inserted, lets chain together two operations, inserting and counting.
Count Documents in A Collection
Once we’ve inserted the documents
list we should, have a total of 101 documents in the collection (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.
Lets chain the two operations together using a for
comprehension. The
following code should insert the documents then count the number of documents and print the results:
val insertAndCount = for {
insertResult <- insertObservable
countResult <- collection.countDocuments()
} yield countResult
println(s"total # of documents after inserting 100 small ones (should be 101): ${insertAndCount.headResult()}")
Query the Collection
To query the collection, you can use the collection’s find()
method. You can call the method without any arguments to query all documents in a collection or pass a filter to query for documents that match the filter criteria.
Find the First Document in a Collection
To return the first document in the collection, use the find()
method without any parameters and chain to find()
method the first()
method.
tip
The find().first()
construct is useful for queries that should only match a single document or if you are interested in the first document only.
The following example prints the first document found in the collection.
collection.find().first().printHeadResult()
The example should print the following document:
{ "_id" : { "$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 "$"
for internal use.
Find All Documents in a Collection
To retrieve all the documents in the collection, we will use the
find()
method. The find()
method returns a FindObservable
instance that
provides a fluent interface for chaining or controlling find operations.
The following code retrieves all documents in the collection and prints them out
(101 documents):
collection.find().printResults()
Specify a Query Filter
To query for documents that match certain conditions, pass a filter object to the find()
method. To facilitate creating filter objects, the Scala driver provides the Filters
helper.
Get A Single Document That Matches a Filter
For example, to find the first document where the field i
has the value 71
, pass an equal
filter object to specify the equality condition:
collection.find(equal("i", 71)).first().printHeadResult()
The example prints one document:
{ "_id" : { "$oid" : "5515836e58c7b4fbc756320b" }, "i" : 71 }
Get All Documents That Match a Filter
The following example returns and prints all documents where "i" > 50
:
// now use a range query to get a larger subset
collection.find(gt("i", 50)).printResults()
which should print the documents where i > 50
.
To specify a filter for a range, such as 50 < i <= 100
, you can use the and
helper:
collection.find(and(gt("i", 50), lte("i", 100))).printResults()
Update Documents
To update documents in a collection, you can use the collection’s
updateOne
and updateMany
methods.
Pass to the methods:
A filter object to determine the document or documents to update. To facilitate creating filter objects, the Scala driver provides the
Filters
helper. To specify an empty filter (i.e. match all documents in a collection), use an emptyDocument
object.An update document that specifies the modifications. For a list of the available operators, see update operators.
The update methods return an UpdateResult
which provides information about the operation including the number of documents modified by the update.
Update a Single Document
To update at most a single document, use the updateOne
The following example updates the first document that meets the filter i
equals 10
and sets the value of i
to 110
:
collection.updateOne(equal("i", 10), set("i", 110)).printHeadResult("Update Result: ")
Update Multiple Documents
To update all documents matching the filter, use the updateMany
method.
The following example increments the value of i
by 100
for all documents where =i
is less than 100
:
collection.updateMany(lt("i", 100), inc("i", 100)).printHeadResult("Update Result: ")
Delete Documents
To delete documents from a collection, you can use the collection’sdeleteOne
and deleteMany
methods.
Pass to the methods a filter object to determine the document or documents to delete. To facilitate creating filter objects, the Scala driver provides the Filters
helper. To specify an empty filter (i.e. match all documents in a collection), use an empty Document
object.
The delete methods return a DeleteResult
which provides information about the operation including the number of documents deleted.
Delete a Single Document That Match a Filter
To delete at most a single document that match the filter, use thedeleteOne
method:
The following example deletes at most one document that meets the filter i
equals 110
:
collection.deleteOne(equal("i", 110)).printHeadResult("Delete Result: ")
Delete All Documents That Match a Filter
To delete all documents matching the filter use the deleteMany
method.
The following example deletes all documents where i
is greater or equal to 100
:
collection.deleteMany(gte("i", 100)).printHeadResult("Delete Result: ")
Create Indexes
To create an index on a field or fields, pass an index specification document to the createIndex()
method. An index key specification document contains the fields to index and the index type for each field:
Document(<field1> -> <type1>, <field2>, <type2>, ...)
- For an ascending index type, specify
1
for<type>
. - For a descending index type, specify
-1
for<type>
.
The following example creates an ascending index on the i
field:
collection.createIndex(Document("i" -> 1)).printHeadResult("Create Index Result: %s")
For a list of other index types, see Create Indexes
Additional Information
For additional tutorials about using MongoDB with Case Classes, see the Case Class Quick Start.
For additional tutorials (such as to use the aggregation framework, specify write concern, etc.), see Scala Driver Tutorials