This version is still in development and is not considered stable yet. For the latest stable version, please use Spring Data MongoDB 4.3.5! |
Template API
The MongoTemplate
and its reactive counterpart class, located in the org.springframework.data.mongodb.core
package, is the central class of Spring’s MongoDB support and provides a rich feature set for interacting with the database.
The template offers convenience operations to create, update, delete, and query MongoDB documents and provides a mapping between your domain objects and MongoDB documents.
Once configured, MongoTemplate is thread-safe and can be reused across multiple instances.
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Convenience Methods
The MongoTemplate
class implements the interface MongoOperations
.
In as much as possible, the methods on MongoOperations
are named after methods available on the MongoDB driver Collection
object, to make the API familiar to existing MongoDB developers who are used to the driver API.
For example, you can find methods such as find
, findAndModify
, findAndReplace
, findOne
, insert
, remove
, save
, update
, and updateMulti
.
The design goal was to make it as easy as possible to transition between the use of the base MongoDB driver and MongoOperations
.
A major difference between the two APIs is that MongoOperations
can be passed domain objects instead of Document
.
Also, MongoOperations
has fluent APIs for Query
, Criteria
, and Update
operations instead of populating a Document
to specify the parameters for those operations.
The preferred way to reference the operations on MongoTemplate instance is through its interface, MongoOperations .
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Execute Callbacks
MongoTemplate
offers many convenience methods to help you easily perform common tasks.
However, if you need to directly access the MongoDB driver API, you can use one of several Execute
callback methods.
The execute
callbacks gives you a reference to either a MongoCollection
or a MongoDatabase
object.
-
<T> T
execute(Class<?> entityClass, CollectionCallback<T> action)
: Runs the givenCollectionCallback
for the entity collection of the specified class. -
<T> T
execute(String collectionName, CollectionCallback<T> action)
: Runs the givenCollectionCallback
on the collection of the given name. -
<T> T
execute(DbCallback<T> action)
: Runs a DbCallback, translating any exceptions as necessary. Spring Data MongoDB provides support for the Aggregation Framework introduced to MongoDB in version 2.2. -
<T> T
execute(String collectionName, DbCallback<T> action)
: Runs aDbCallback
on the collection of the given name translating any exceptions as necessary. -
<T> T
executeInSession(DbCallback<T> action)
: Runs the givenDbCallback
within the same connection to the database so as to ensure consistency in a write-heavy environment where you may read the data that you wrote.
The following example uses the CollectionCallback
to return information about an index:
-
Imperative
-
Reactive
boolean hasIndex = template.execute("geolocation", collection ->
Streamable.of(collection.listIndexes(org.bson.Document.class))
.stream()
.map(document -> document.get("name"))
.anyMatch("location_2d"::equals)
);
Mono<Boolean> hasIndex = template.execute("geolocation", collection ->
Flux.from(collection.listIndexes(org.bson.Document.class))
.map(document -> document.get("name"))
.filterWhen(name -> Mono.just("location_2d".equals(name)))
.map(it -> Boolean.TRUE)
.single(Boolean.FALSE)
).next();
Fluent API
Being the central component when it comes to more low-level interaction with MongoDB MongoTemplate
offers a wide range of methods covering needs from collection creation, index creation, and CRUD operations to more advanced functionality, such as Map-Reduce and aggregations.
You can find multiple overloads for each method.
Most of them cover optional or nullable parts of the API.
FluentMongoOperations
provides a more narrow interface for the common methods of MongoOperations
and provides a more readable, fluent API.
The entry points (insert(…)
, find(…)
, update(…)
, and others) follow a natural naming schema based on the operation to be run.
Moving on from the entry point, the API is designed to offer only context-dependent methods that lead to a terminating method that invokes the actual MongoOperations
counterpart — the all
method in the case of the following example:
- Imperative
-
List<Jedi> all = template.query(SWCharacter.class) (1) .inCollection("star-wars") (2) .as(Jedi.class) (3) .matching(query(where("jedi").is(true))) (4) .all();
1 | The type used to map fields used in the query to. |
2 | The collection name to use if not defined on the domain type. |
3 | Result type if not using the original domain type. |
4 | The lookup query.
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Using projections allows MongoTemplate to optimize result mapping by limiting the actual response to fields required by the projection target type.
This applies as long as the Query itself does not contain any field restriction and the target type is a closed interface or DTO projection.
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Projections must not be applied to DBRefs. |
You can switch between retrieving a single entity and retrieving multiple entities as a List
or a Stream
through the terminating methods: first()
, one()
, all()
, or stream()
.
When writing a geo-spatial query with near(NearQuery)
, the number of terminating methods is altered to include only the methods that are valid for running a geoNear
command in MongoDB (fetching entities as a GeoResult
within GeoResults
), as the following example shows:
-
Imperative
-
Reactive
GeoResults<Jedi> results = template.query(SWCharacter.class)
.as(Jedi.class)
.near(alderaan) // NearQuery.near(-73.9667, 40.78).maxDis…
.all();
Flux<GeoResult<Jedi>> results = template.query(SWCharacter.class)
.as(Jedi.class)
.near(alderaan) // NearQuery.near(-73.9667, 40.78).maxDis…
.all();
Exception Translation
The Spring framework provides exception translation for a wide variety of database and mapping technologies.
This has traditionally been for JDBC and JPA.
The Spring support for MongoDB extends this feature to the MongoDB Database by providing an implementation of the org.springframework.dao.support.PersistenceExceptionTranslator
interface.
The motivation behind mapping to Spring’s consistent data access exception hierarchy is that you are then able to write portable and descriptive exception handling code without resorting to coding against MongoDB error codes.
All of Spring’s data access exceptions are inherited from the root DataAccessException
class so that you can be sure to catch all database related exception within a single try-catch block.
Note that not all exceptions thrown by the MongoDB driver inherit from the MongoException
class.
The inner exception and message are preserved so that no information is lost.
Some of the mappings performed by the MongoExceptionTranslator
are com.mongodb.Network
to DataAccessResourceFailureException
and MongoException
error codes 1003, 12001, 12010, 12011, and 12012 to InvalidDataAccessApiUsageException
.
Look into the implementation for more details on the mapping.
Exception Translation can be configured by setting a customized MongoExceptionTranslator
on your MongoDatabaseFactory
or its reactive variant.
You might also want to set the exception translator on the corresponding MongoClientFactoryBean
.
MongoExceptionTranslator
ConnectionString uri = new ConnectionString("mongodb://username:password@localhost/database");
SimpleMongoClientDatabaseFactory mongoDbFactory = new SimpleMongoClientDatabaseFactory(uri);
mongoDbFactory.setExceptionTranslator(myCustomExceptionTranslator);
A motivation to customize exception can be MongoDB’s behavior during transactions where some failures (such as write conflicts) can become transient and where a retry could lead to a successful operation. In such a case, you could wrap exceptions with a specific MongoDB label and apply a different exception translation stragegy.
Domain Type Mapping
The mapping between MongoDB documents and domain classes is done by delegating to an implementation of the MongoConverter
interface.
Spring provides MappingMongoConverter
, but you can also write your own converter.
While the MappingMongoConverter
can use additional metadata to specify the mapping of objects to documents, it can also convert objects that contain no additional metadata by using some conventions for the mapping of IDs and collection names.
These conventions, as well as the use of mapping annotations, are explained in the Mapping chapter.