Spring Data provides additional projects that help you access a variety of NoSQL technologies including MongoDB, Neo4J, Elasticsearch, Solr, Redis, Gemfire, Couchbase and Cassandra. Spring Boot provides auto-configuration for Redis, MongoDB, Neo4j, Elasticsearch, Solr and Cassandra; you can make use of the other projects, but you will need to configure them yourself. Refer to the appropriate reference documentation at projects.spring.io/spring-data.
Redis is a cache, message broker and richly-featured key-value store.
Spring Boot offers basic auto-configuration for the
Jedis client library and abstractions on top of it
provided by Spring Data Redis. There
is a spring-boot-starter-data-redis
‘Starter POM’ for collecting the dependencies in a
convenient way.
You can inject an auto-configured RedisConnectionFactory
, StringRedisTemplate
or
vanilla RedisTemplate
instance as you would any other Spring Bean. By default the
instance will attempt to connect to a Redis server using localhost:6379
:
@Component public class MyBean { private StringRedisTemplate template; @Autowired public MyBean(StringRedisTemplate template) { this.template = template; } // ... }
If you add a @Bean
of your own of any of the auto-configured types it will replace the
default (except in the case of RedisTemplate
the exclusion is based on the bean name
‘redisTemplate’ not its type). If commons-pool2
is on the classpath you will get a
pooled connection factory by default.
MongoDB is an open-source NoSQL document database that uses a
JSON-like schema instead of traditional table-based relational data. Spring Boot offers
several conveniences for working with MongoDB, including the
spring-boot-starter-data-mongodb
‘Starter POM’.
You can inject an auto-configured org.springframework.data.mongodb.MongoDbFactory
to
access Mongo databases. By default the instance will attempt to connect to a MongoDB
server using the URL mongodb://localhost/test
:
import org.springframework.data.mongodb.MongoDbFactory; import com.mongodb.DB; @Component public class MyBean { private final MongoDbFactory mongo; @Autowired public MyBean(MongoDbFactory mongo) { this.mongo = mongo; } // ... public void example() { DB db = mongo.getDb(); // ... } }
You can set spring.data.mongodb.uri
property to change the URL and configure
additional settings such as the replica set:
spring.data.mongodb.uri=mongodb://user:[email protected]:12345,mongo2.example.com:23456/test
Alternatively, as long as you’re using Mongo 2.x, specify a host
/port
. For example,
you might declare the following in your application.properties
:
spring.data.mongodb.host=mongoserver spring.data.mongodb.port=27017
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If you aren’t using Spring Data Mongo you can inject |
You can also declare your own MongoDbFactory
or Mongo
bean if you want to take
complete control of establishing the MongoDB connection.
Spring Data Mongo provides a
MongoTemplate
class that is very
similar in its design to Spring’s JdbcTemplate
. As with JdbcTemplate
Spring Boot
auto-configures a bean for you to simply inject:
import org.springframework.beans.factory.annotation.Autowired; import org.springframework.data.mongodb.core.MongoTemplate; import org.springframework.stereotype.Component; @Component public class MyBean { private final MongoTemplate mongoTemplate; @Autowired public MyBean(MongoTemplate mongoTemplate) { this.mongoTemplate = mongoTemplate; } // ... }
See the MongoOperations
Javadoc for complete details.
Spring Data includes repository support for MongoDB. As with the JPA repositories discussed earlier, the basic principle is that queries are constructed for you automatically based on method names.
In fact, both Spring Data JPA and Spring Data MongoDB share the same common
infrastructure; so you could take the JPA example from earlier and, assuming that City
is now a Mongo data class rather than a JPA @Entity
, it will work in the same way.
package com.example.myapp.domain; import org.springframework.data.domain.*; import org.springframework.data.repository.*; public interface CityRepository extends Repository<City, Long> { Page<City> findAll(Pageable pageable); City findByNameAndCountryAllIgnoringCase(String name, String country); }
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For complete details of Spring Data MongoDB, including its rich object mapping technologies, refer to their reference documentation. |
Spring Boot offers auto-configuration for
Embedded Mongo. To use
it in your Spring Boot application add a dependency on
de.flapdoodle.embed:de.flapdoodle.embed.mongo
.
The port that Mongo will listen on can be configured using the spring.data.mongodb.port
property. To use a randomly allocated free port use a value of zero. The MongoClient
created by MongoAutoConfiguration
will be automatically configured to use the randomly
allocated port.
If you have SLF4J on the classpath, output produced by Mongo will be automatically routed
to a logger named org.springframework.boot.autoconfigure.mongo.embedded.EmbeddedMongo
.
You can declare your own IMongodConfig
and IRuntimeConfig
beans to take control of the
Mongo instance’s configuration and logging routing.
Neo4j is an open-source NoSQL graph database that uses a rich data
model of nodes related by first class relationships which is better suited for connected
big data than traditional rdbms approaches. Spring Boot offers several conveniences for
working with Neo4j, including the spring-boot-starter-data-neo4j
‘Starter POM’.
You can inject an auto-configured Neo4jSession
, Session
or Neo4jOperations
instance
as you would any other Spring Bean. By default the instance will attempt to connect to a
Neo4j server using localhost:7474
:
@Component public class MyBean { private final Neo4jTemplate neo4jTemplate; @Autowired public MyBean(Neo4jTemplate neo4jTemplate) { this.neo4jTemplate = neo4jTemplate; } // ... }
You can take full control of the configuration by adding a
org.neo4j.ogm.config.Configuration
@Bean
of your own. Also, adding a @Bean
of type
Neo4jOperations
disables the auto-configuration.
You can configure the user and credentials to use via the spring.data.neo4j.*
properties:
spring.data.neo4j.uri=http://my-server:7474 spring.data.neo4j.username=neo4j spring.data.neo4j.password=secret
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Neo4j’s embedded mode is subject to a different licensing, make sure to review it before integrating the dependency in your application. |
If you add org.neo4j:neo4j-ogm-embedded-driver
to the dependencies of your application,
Spring Boot will automatically configure an in-process embedded instance of Neo4j that
will not persist any data when your application shuts down. You can explicitly disable
that mode using spring.data.neo4j.embedded.enabled=false
. You can also enable
persistence for the embedded mode:
spring.data.neo4j.uri=file://var/tmp/graph.db
By default, the lifetime of the session is scope to the application. If you are running a web application you can change it to scope or request easily:
spring.data.neo4j.session.scope=session
Spring Data includes repository support for Neo4j.
In fact, both Spring Data JPA and Spring Data Neo4j share the same common
infrastructure; so you could take the JPA example from earlier and, assuming that City
is now a Neo4j OGM @NodeEntity
rather than a JPA @Entity
, it will work in the same way.
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You can customize entity scanning locations using the |
To enable repository support (and optionally support for @Transactional
), add the following
two annotations to your Spring configuration:
@EnableNeo4jRepositories(basePackages = "com.example.myapp.repository")
@EnableTransactionManagement
package com.example.myapp.domain; import org.springframework.data.domain.*; import org.springframework.data.repository.*; public interface CityRepository extends GraphRepository<City> { Page<City> findAll(Pageable pageable); City findByNameAndCountry(String name, String country); }
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For complete details of Spring Data Neo4j, including its rich object mapping technologies, refer to their reference documentation. |
Spring Data Gemfire provides
convenient Spring-friendly tools for accessing the
Pivotal Gemfire data management
platform. There is a spring-boot-starter-data-gemfire
‘Starter POM’ for collecting the
dependencies in a convenient way. There is currently no auto-configuration support for
Gemfire, but you can enable Spring Data Repositories with a
single annotation (@EnableGemfireRepositories
).
Apache Solr is a search engine. Spring Boot offers basic
auto-configuration for the Solr 5 client library and abstractions on top of it provided by
Spring Data Solr. There is
a spring-boot-starter-data-solr
‘Starter POM’ for collecting the dependencies in a
convenient way.
You can inject an auto-configured SolrClient
instance as you would any other Spring
bean. By default the instance will attempt to connect to a server using
localhost:8983/solr
:
@Component public class MyBean { private SolrClient solr; @Autowired public MyBean(SolrClient solr) { this.solr = solr; } // ... }
If you add a @Bean
of your own of type SolrClient
it will replace the default.
Spring Data includes repository support for Apache Solr. As with the JPA repositories discussed earlier, the basic principle is that queries are constructed for you automatically based on method names.
In fact, both Spring Data JPA and Spring Data Solr share the same common infrastructure;
so you could take the JPA example from earlier and, assuming that City
is now a
@SolrDocument
class rather than a JPA @Entity
, it will work in the same way.
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For complete details of Spring Data Solr, refer to their reference documentation. |
Elasticsearch is an open source, distributed,
real-time search and analytics engine. Spring Boot offers basic auto-configuration for
the Elasticsearch and abstractions on top of it provided by
Spring Data Elasticsearch.
There is a spring-boot-starter-data-elasticsearch
‘Starter POM’ for collecting the
dependencies in a convenient way.
You can inject an auto-configured ElasticsearchTemplate
or Elasticsearch Client
instance as you would any other Spring Bean. By default the instance will embed a
local in-memory server (a Node
in ElasticSearch terms) and use the current working
directory as the home directory for the server. In this setup, the first thing to do
is to tell ElasticSearch were to store its files:
spring.data.elasticsearch.properties.path.home=/foo/bar
Alternatively, you can switch to a remote server (i.e. a TransportClient
) by setting
spring.data.elasticsearch.cluster-nodes
to a comma-separated ‘host:port’ list.
spring.data.elasticsearch.cluster-nodes=localhost:9300
@Component public class MyBean { private ElasticsearchTemplate template; @Autowired public MyBean(ElasticsearchTemplate template) { this.template = template; } // ... }
If you add a @Bean
of your own of type ElasticsearchTemplate
it will replace the
default.
Spring Data includes repository support for Elasticsearch. As with the JPA repositories discussed earlier, the basic principle is that queries are constructed for you automatically based on method names.
In fact, both Spring Data JPA and Spring Data Elasticsearch share the same common
infrastructure; so you could take the JPA example from earlier and, assuming that
City
is now an Elasticsearch @Document
class rather than a JPA @Entity
, it will
work in the same way.
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For complete details of Spring Data Elasticsearch, refer to their reference documentation. |
Cassandra is an open source, distributed database management
system designed to handle large amounts of data across many commodity servers. Spring Boot
offers auto-configuration for Cassandra and abstractions on top of it provided by
Spring Data Cassandra.
There is a spring-boot-starter-data-cassandra
‘Starter POM’ for collecting the
dependencies in a convenient way.
You can inject an auto-configured CassandraTemplate
or a Cassandra Session
instance as you would with any other Spring Bean. The spring.data.cassandra.*
properties can be used to customize the connection. Generally you will provide
keyspace-name
and contact-points
properties:
spring.data.cassandra.keyspace-name=mykeyspace spring.data.cassandra.contact-points=cassandrahost1,cassandrahost2
@Component public class MyBean { private CassandraTemplate template; @Autowired public MyBean(CassandraTemplate template) { this.template = template; } // ... }
If you add a @Bean
of your own of type CassandraTemplate
it will replace the
default.
Spring Data includes basic repository support for Cassandra. Currently this is more
limited than the JPA repositories discussed earlier, and will need to annotate finder
methods with @Query
.
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For complete details of Spring Data Cassandra, refer to their reference documentation. |
Couchbase is an open-source, distributed multi-model NoSQL
document-oriented database that is optimized for interactive applications. Spring Boot
offers auto-configuration for Couchbase and abstractions on top of it provided by
Spring Data Couchbase.
There is a spring-boot-starter-data-couchbase
‘Starter POM’ for collecting the
dependencies in a convenient way.
You can very easily get a Bucket
and Cluster
by adding the Couchbase SDK and some
configuration. The spring.couchbase.*
properties can be used to customize the
connection. Generally you will provide the bootstrap hosts, bucket name and password:
spring.couchbase.bootstrap-hosts=my-host-1,192.168.1.123 spring.couchbase.bucket.name=my-bucket spring.couchbase.bucket.password=secret
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You need to provide at least the bootstrap host(s), in which case the bucket name
is |
It is also possible to customize some of the CouchbaseEnvironment
settings. For instance
the following configuration changes the timeout to use to open a new Bucket
and enable
SSL support:
spring.couchbase.env.timeouts.connect=3000 spring.couchbase.env.ssl.key-store=/location/of/keystore.jks spring.couchbase.env.ssl.key-store-password=secret
Check the spring.couchbase.env.*
properties for more details.
Spring Data includes repository support for Couchbase. For complete details of Spring Data Couchbase, refer to their reference documentation.
You can inject an auto-configured CouchbaseTemplate
instance as you would with any
other Spring Bean as long as a default CouchbaseConfigurer
is available (that
happens when you enable the couchbase support as explained above). If you want to
bypass the auto-configuration for Spring Data Couchbase, provide your own
org.springframework.data.couchbase.config.AbstractCouchbaseDataConfiguration
implementation.
@Component public class MyBean { private final CouchbaseTemplate template; @Autowired public MyBean(CouchbaseTemplate template) { this.template = template; } // ... }
If you add a @Bean
of your own of type CouchbaseTemplate
named couchbaseTemplate
it
will replace the default.