Jakarta EE and MicroProfile - EclipseCon 2020
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The document discusses Jakarta EE and MicroProfile features, including demonstrations of asynchronous CDI events, JSON binding and processing, RESTful web services with server-sent events, security, validation, persistence, websockets, health checks, configuration injection, REST clients, and fault tolerance. It also mentions including dependencies in Docker images.
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Jakarta EE and MicroProfile - EclipseCon 2020
- 1. Jakarta EE & MicroProďŹle
- 2. 2 About Us Josh Juneau Application Developer Database Administrator Author, Blogger, Podcaster Apache NetBeans Committer/Java Champions/Jakarta EE Guardians Chicago Java Users Group Executive Board Edwin Derks Software Architect Author, Blogger, Speaker Contributor for Jakarta EE Committer for MicroProďŹle Member of Jakarta EE Guardians @edwinderks
- 4. 4 Agenda - Demonstrate some cool features with Jakarta EE and MicroProďŹle that you don't use everyday - We will monitor the Q&A in order to answer your questions and feedback during the session
- 6. 6 Get Started Today Download GlassFish 6, Payara Runtime and others? Incorporate the dependencies into your project...the examples in this presentation use Jakarta EE 8. Jakarta EE 9 will NOT be backward compatible with Jakarta EE 8. SpeciďŹcation Documents Examples for this demo: https://github.com/juneau001/JakartaEE-MicroProďŹle-Demos
- 7. 7 Jakarta EE 9 Overview Namespace Change â javax.* to jakarta.* SpeciďŹcation Documents Java SE 11 may not be available out of gate, but will be with Jakarta EE 9.1
- 8. 8 Jakarta CDI Latest Additions: - Modularization, support for Java SE - Observers Ordering - Asynchronous Events - ConďŹgurators for major SPI elements - ConďŹgure or Veto Observer Methods - Apply Interceptor on Producers
- 9. 9 Jakarta CDI - Async How does one mark a CDI event as asynchronous? Solution: Fire the event calling upon the ďŹreAsync() method, passing the event class.
- 10. 10 Jakarta CDI - Async Example of logging on event execution: Utilize @ObservesAsync to reserve an asynchronous event.
- 11. 11 Jakarta JSON Binding Standard binding layer for converting Java objects to/from JSON. - Serialize/de-serialize objects to/from JSON - Mapping of Primitive Types - Serialize Collections and Maps
- 12. 12 Jakarta JSON Binding Read a JSON document and convert it into a Java object Utilize default JSON binding mapping to quickly map a POJO.
- 13. 13 Jakarta JSON Binding Create JSON from a Java Object
- 14. 14 Jakarta JSON Processing - Jakarta EE provides an API to parse, transform, and query JSON data using the object model or streaming model - JsonObjectBuilder is used to build a JSON object - Call upon the Json.createObjectBuilder() method to create a JsonObjectBuilder. - Call upon the Json.createArrayBuilder() method to create a JsonArray
- 15. 15 Jakarta JSON Processing JSON Pointer and JSON Patch JSON Pointer allows one to point to a particular element within a JSON Structure Utilize JSON Patch to replace a speciďŹed value within a JSON document with another value. - Editing/Transformation Operations Added to the JSON Object Model JSON deďŹnes only two data structures: Objects, Arrays JSON deďŹne seven value types: String, number, object, array, true, false, null
- 16. 16 Jakarta Server Faces LocalDateTime Conversion Ability to convert Date-Time API values to/from expression language JSF as Microservices Front End The examples utilize JSF views and @ViewScoped controller classes to interact with remote web services, which in-turn, performs transactions against an RDBMS..
- 17. 17 Jakarta RESTful Web Services JAX-RS Client The examples utilize JSF views and @ViewScoped controller classes to interact with remote web services to update the database.
- 18. 18 Jakarta RESTful Web Services Server Sent Events - One way communication channel - Text protocol, âtext/event-streamâ media type - Multiple Messages - Retry interval SSEEventSink used to send stream of messages SSEEvent is base event class, OutboundSseEvent packages an event
- 19. 19 Jakarta Security Standard Security Provided - Ability to apply across multiple identity stores: Database, LDAP, Embedded - Annotations for ease of development - Remembers caller (cookie, identity store) - Group to Role Mapping - Standard expression language accessors - SimpliďŹed HttpAuthenticationMechanism interface with three default implementations: basic, form, LDAP
- 20. 20 Jakarta Bean Validation Validate ďŹeld content using simple annotations - Support for more ďŹexible cascaded validation of constraint types - Support for java.util.Optional - Support for @Past and @Future - New annotations: @Email, @NotEmpty, @NotBlank, @Positive, @PositiveOrZero, @Negative, @NegativeOrZero, @PastOrPresent, @FutureOrPresent
- 21. 21 Jakarta Persistence Updated in latest releases: - Streams - Repeatable Annotations - Date-Time API - CDI Injection in AttributeConverters
- 22. 22 Jakarta WebSockets Full-Duplex Communication Between Peers - Create a WebSocket endpoint by annotating a POJO with @ServerEndpoint - Create a message receiver method and annotate with @OnMessage - Supports: - @OnOpen - @OnError
- 23. 23 MicroProďŹle
- 24. 24 MicroProďŹle - Health Health probes for Kubernetes - Liveness vs Readiness probes - liveness probe; restart container when not healthy - readiness probe; when container is ready to receive traďŹc Example: - Programmatic readiness probe
- 25. 25 MicroProďŹle - ConďŹg Property injection - This speciďŹcation is not part of the Jakarta EE (yet) - Spring Framework/Boot does also contain this feature - Can inject properties provided by the app or the environment, like Kubernetes Example: Inject in Jakarta EE JAX-RS endpoint - This is an example of where Jakarta EE and MicroProďŹle complement each other
- 26. MicroProďŹle - RestClient HTTP client speciďŹcation - JAX-RS and MP RestClient both have programmatic client - MP RestClient can annotate interfaces Example: - Use CDI and MP ConďŹg to inject the MP RestClient with an environment-speciďŹc URL
- 27. MicroProďŹle - FaultTolerance Increase the success rate of your requests by adding resilience to requests Good practice to add: - @Retry how many times will the request be repeated on error - @Timeout how long will the client wait for a response - @Fallback what will the behaviour be when no retries are left
- 28. MicroProďŹle - FaultTolerance Increase the success rate of your requests by adding resilience to requests More advanced tuning of resilience: - @CircuitBreaker fail incoming requests when calls to a downstream service are subsequently failing over a deďŹned threshold - @Bulkhead Limit concurrent requests to a downstream service
- 30. Docker Image Ship your dependencies as part of the infrastructure - Download and ship project's dependency to the Docker Image
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