This commit adds a new configuration property
`"spring.data.elasticsearch.client.reactive.max-in-memory-size"`
which configures the maximum amount of memory buffered by the
`WebClient` used by the Reactive ElasticSearch client.
See gh-20205
This commit improves the Liquibase auto-configuration to only rely on
spring-jdbc when a `DataSource` should be created on-the-fly for the
purpose of its initialization.
Previously, a connection pool implementation must be added as well, now
we're fallbacking on `SimpleDriverDataSource` if necessary. This
improves the database initialization use case with R2DBC.
Closes gh-20715
This commit restores the port option that was removed in an earlier
milestone. Contact points that do not define a port already are
automatically transformed to include the one configured, with a default
matching Cassandra's default port.
This makes upgrades easier in the case a cluster uses consistent ports
everywhere.
Closes gh-19672
Previously, a condition checked the value of "spring.datasource.url" to
determine if an embedded database has to be created as a fallback. When
the value is set with an unresolved placeholder, this fails even if
the DataSource is going to created by another mean ultimately.
This commit makes a more conservative check by only checking the
presence of the property rather than its value.
Closes gh-20438
This commit adds the `"spring.webflux.base-path"` configuration
property. Configuring this property will gather all `HttpHandlers` into
a single composite and prefix all requests with a shared base path.
Closes gh-10129
Configure UserTypeResolver and CodecRegistry on
MappingCassandraConverter. Configure on CassandraMappingContext only the
simple type holder instead of custom conversions.
See gh-20662
Previously, the presence of a `ConsumerFactory` bean would make the
auto-configured one to back off, leading to a failure down the line if
no available instance matches the generics criterion. This commit
improves the auto-configuration to create a `ConsumerFactory<?,?>`
behind the scenes if none is available.
Closes gh-19221
This commit moves the core Liveness and Readiness support to its own
`availability` package. We've made this a core concept independent of
Kubernetes.
Spring Boot now produces `LivenessStateChanged` and
`ReadinessStateChanged` events as part of the typical application
lifecycle.
Liveness and Readiness Probes (`HealthIndicator` components and health
groups) are still configured only when deployed on Kubernetes.
This commit also improves the documentation around Probes best practices
and container lifecycle considerations.
See gh-19593
Prior to this commit and as of Spring Boot 2.2.0, we would advise
developers to use the Actuator health groups to define custom "liveness"
and "readiness" groups and configure them with subsets of existing
health indicators.
This commit addresses several limitations with that approach.
First, `LivenessState` and `ReadinessState` are promoted to first class
concepts in Spring Boot applications. These states should not only based
on periodic health checks. Applications should be able to track changes
(and adapt their behavior) or update states (when an error happens).
The `ApplicationStateProvider` can be injected and used by applications
components to get the current application state. Components can also
track specific `ApplicationEvent` to be notified of changes, like
`ReadinessStateChangedEvent` and `LivenessStateChangedEvent`.
Components can also publish such events with an
`ApplicationEventPublisher`. Spring Boot will track startup event and
application context state to update the liveness and readiness state of
the application. This infrastructure is available in the
main spring-boot module.
If Spring Boot Actuator is on the classpath, additional
`HealthIndicator` will be contributed to the application:
`"LivenessProveHealthIndicator"` and `"ReadinessProbeHealthIndicator"`.
Also, "liveness" and "readiness" Health groups will be defined if
they're not configured already.
Closes gh-19593
