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SPRINGONE2GXWASHINGTON, DC

Thomas Darimont · Oliver Gierke!/" thomasdarimont !/" olivergierke

What’s new inSpring Data?

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Intro

2

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Spring Data

3

Ab

stra

ctio

n

relational non-relational

JDBC*

MongoDB Neo4j

JPA*

Redis

Couchbase Cassandra Solr

Spring Data

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Core

KeyValue

GemfireJPA

Solr

Elasticsearch Cassandra

Couchbase

RedisMongoDB

Communitymodules

Coremodules

Neo4j

REST

Foundational Store modules Web APIs

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The anatomy of a Spring Data module

5

where needed

where needed

where reasonable

Templates

Object mapping

Repositories

Spri

ng

Co

nta

iner

In

teg

rati

on CDI

Support

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DEMO

6

01 – Introduction

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Spring Data repositories• Concept of Domain Driven Design

• Pragmatic data access API

• Interface based programming model

• Base abstractions

• Query derivation

• Pagination, sorting, streaming

• Custom queries

• Custom repository implementations

7

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Spring DataGosling / Fowler

8

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Dependencies

9

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Release train – Spring Framework baselines

10

Gosling

Evans

Dijkstra

FowlerMarch 2015

August 2014

September 2015

May 2014

Spring 4.0

Spring 4.0

Spring 4.1

Spring 3.2

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Dependencies• Upgraded Spring Framework baseline to 4.1

• Guava 18, Jackson 2.6 (to align with Spring IO platform 2.0)

• Support for Hibernate 5 and MongoDB Java driver 3.0

• Release train BOM

• Makes sure you refer to Spring Data modules in matching versions

• E.g. Gosling-RELEASE, Fowler-SR1

11

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DEMO

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02 – Spring Data release train BOM

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Spring Data Commons

13

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DEMO

14

03 – Enhanced Java 8 support

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Enhanced Java 8 support• CompletableFuture and ListenableFuture

• Stream as repository return type

• Leverages persistence provider specific API in JPA

• Non-time-zoned JSR-310 types, ThreeTen back-port

15

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DEMO

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04 – Simplified custom repositories

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Simplified customization of repositories• Registering a custom base class for all repositories was cumbersome

• Required custom implementation class, factory and FactoryBean

• With Spring Data Gosling all that’s needed is the implementation class

• Default factory assumes constructor compatibility and uses reflection

• @EnableJpaRepositories(repositoryBaseClass = MyCustomImpl.class)

17

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DEMO

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05 – Web projections

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ProjectionFactory• Interface based proxies for domain objects and maps

• Outbound use: dedicated view on an object (incl. enrichments via @Value)

• Inbound use: bind request data to strongly typed object backed by a Map

19

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DEMO

20

06 – Querydsl web support

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Querydsl web support• Bind request parameters to Predicate

• Customize bindings via QuerydslBinderCustomizer

21

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Spring Data JPA

22

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DEMO

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07 – Enhanced JPA 2.1 support

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Spring Data JPA• Support for @EntityGraph

• Support for ad-hoc fetch graphs

• Dependency upgrades: EclipseLink 2.6, compatibility with Hibernate 5

• ParameterMode.REF_CURSOR for stored procedures

• AttributeConverters for (non-time-zoned) JSR-310 and ThreeTen back-port

• Option to disable default transactions

24

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Spring Data MongoDB

25

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DEMO

26

08 – MongoDB & Spring Security

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DEMO

27

09 – MongoDB & Java 8

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Spring Data MongoDB• SpEL support for @Query methods for MongoDB.

• EvaluationContextProvider -> SPI for custom extension

• Spring Security support for MongoDB

• MongoDB Java driver 3.0 compatibility

• Support for Java 8 Stream as query method return type

• Support for calling JavaScript functions

• Support for GeoJSON

28

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Spring Data REST

29

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DEMO

30

10 – Version headers & conditional requests

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DEMO

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11 – HAL browser & metadata

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Spring Data REST• Automatic translation of Enum values and link titles

• RepositoryEntityLinks to create links to search resources

• Support for @Version -> ETag & conditional GETs

• @LastModifiedDate -> Last-Modified header

• Improved JSON Schema support

• HAL Browser

• Custom POST form using the schema and JSON Editor

• PagedResourcesAssembler exposes first and last links

32

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Spring Data Redis

33

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DEMO

34

12 – Redis

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Spring Data Redis• Switch to Lettuce fork by Mark Paluch (Jedis still default)

• Generic JSON object serialization to support polymorphism (Jackson)

• Support for ZRANGEBYLEX command

35

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Spring Data KeyValue

36

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DEMO

37

13 – Key-value repositories

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Spring Data KeyValue• General introduction into the module

• Repository abstraction

• In-memory based key-value stores

• Customizable java.util.Map based implementation

• Query derivation via SpEL

38

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Outlook

39

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DEMO

40

Query augmentation / Soft deletes / Spring Security

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DEMO

41

Redis mapping & repositories

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Outlook• Query augmentation / Spring Security integration

• Query by example – for multi-field search forms

• Redis object-to-hash mapping

• Querydsl 4

• Major store upgrades into the release train

• Spring Data Neo4j 4.1

• Spring Data Couchbase 2.0

• Spring Data Solr 2.0 (Solr 5.0)

42

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Related sessions

43

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Related sessions• Tuesday, September 15th 2015

• 10:30 AM – John Blum & Luke Shannon Highly-scalable Spring applications with in-memory, distributed data grid

• 12:45 AM – Christoph Strobl Boot your search with Spring

• 2:30 PM – Greg Turnquist & Roy ClarksSpring Data REST - Data Meets Hypermedia & Security

44

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Related sessions• Wednesday, September 16th, 2015

• 12:45 PM – Petar Tahchiev, Salon A-D (Core Spring track)Building a next-generation cloud e-commerce platform with Spring

• 4:30 PM – Chis Dennis & Alex Snaps Bringing javax.cache'ing to your application

• 7:00 PM – You & usBOF

45

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Related sessions• Thursday, September 17th, 2015

• 10:30 PM – Laurent Doguin & Michael Wilmes Spring Data Daily Double – Couchbase and Neo4J

46

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Resources

47

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Resources• Slides – TBA

• Talk demos – Repository @ GitHub

• Spring Data examples – Repository @ GitHub

• Spring Data wiki (Release trains, planning) – Wiki

• Spring projects release calendar – Subscribable calendar

48

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Q&A

49

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SPRINGONE2GXWASHINGTON, DC

Thomas Darimont · Oliver Gierke

Thanks!

!/" thomasdarimont !/" olivergierke

! @springcentral # spring.io/video