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Spring Boot 2.0.0 M2 Release Notes
For changes in earlier milestones, please refer to:
See instructions in the 2.0.0.M1 release notes for upgrading from Spring Boot 1.5.
The default connection pool has changed from Tomcat to Hikari. If you are using Hikari in an environment where tomcat-jdbc is provided, you can now remove the spring.datasource.type override. Similarly, if you want to stay with the Tomcat connection pool, simply add the following to your configuration:
spring.datasource.type=org.apache.tomcat.jdbc.pool.DataSourceThe return status code for post operations on the /loggers endpoint has changed from 200 to 204.
Elasticsearch has been upgraded to 5.4. In line with Elastic’s announcement that embedded Elasticsearch is no longer supported, auto-configuration of a NodeClient has been removed. A TransportClient can be auto-configured by using spring.data.elasticsearch.cluster-nodes to provide the addresses of one or more nodes to connect to.
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Check the configuration changelog for a complete overview of the changes in configuration. |
Spring Boot 2 provides support for the Quartz scheduler that can be used via the spring-boot-starter-quartz dedicated starter. Both in-memory and jdbc stores can be configured.
Spring Boot exposes a new spring.data.web configuration namespace that allows to easily configure paging and sorting.
A new spring-boot-starter-json starter gathers the necessary bits to read and write json. It provides not only jackson-databind but also useful modules when working with Java8: jackson-datatype-jdk8, jackson-datatype-jsr310 and jackson-module-parameter-names.
This new starter is now used where jackson-databind was previously defined.
If the InfluxDB java client and the spring.influx.url is set, an InfluxDB client is now automatically configured. Support for credentials is available as well.
The JdbcTemplate that Spring Boot auto-configures can now be customized via the spring.jdbc.template namespace. Also, the NamedParameterJdbcTemplate that is auto-configured reuses the JdbcTemplate behind the scenes.
Spring Boot detects the jOOQ dialect automatically based on the DataSource (similarly to what is done for the JPA dialect).
Also a @JooqTest has been introduced to ease testing where only jOOQ has to be used.
It is now possible to apply advanced customizations to the Mongo client that Spring Boot auto-configures by defining a bean of type MongoClientSettingsBuilderCustomizer.
It is now possible to create a batch listener to consume a list of ConsumerRecord at once:
spring.kafka.listener.type=batchUnconditional classes are included in the response from the autoconfig Actuator endpoint.