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Spring Data and In-Memory Data Management in Action

John Blum • Luke Shannon@john_blum • @lukewshannon

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Agenda• Brief Apache Geode Overview• Apache Geode in Spring• Spring with Apache Geode in Action:

• Caching in [Pivotal] CloudFoundry• Events with Continuous Query• Data Access with Repositories

• New Improvements• Roadmap

• *Bonus Feature• QA

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Apache Geode Pivotal GemFire

~

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DistributedLinearly Scalable

High ThroughputLow/Predictable Latency

Highly Available

Consistent

Durable

In-Memory

Resilient/Fault TolerantShared Nothing Architecture

Partitioned

Real-Time Big/Fast Data

Events/Continuous Query

FunctionsTransactions

Queries/Indexes

Multi-Cluster

Client/Server

P2P

Persistent

Replication

CloudSecure

Serialization

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Spring Data GemFire / Geode

1. Use the Spring Framework’s powerful, non-invasive programming model and concepts to simplify the configuration and development of highly-scalable, distributed Spring applications based on Pivotal GemFire or Apache Geode.

2. Integration with the Spring portfolio…

Purpose

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Spring Data GemFire / Geode

+ +Using Pivotal GemFire or Apache Geode

With Spring’s Transaction Management and Spring Data GemFire/Geode

To support both Local (Cache) & Global (JTA) Transactions

Spring Framework

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Spring Data GemFire / Geode

+ +Using Pivotal GemFire or Apache Geode

With Spring’s Cache Abstraction and Spring Data GemFire/Geode

To serve as a JCache (JSR-107) caching provider

Spring Framework

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Spring Data GemFire / GeodeSpring Data Commons

+

Using Pivotal GemFire or Apache Geode With SD Commons Repository Infrastructure and

SD GemFire/Geode To rapidly build Data Access Objects (CRUD + Mapping +

Querying)

|

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Spring Data GemFire / GeodeSpring Data REST & Spring HATEOAS

+

Using Pivotal GemFire or Apache Geode With SDC Repositories, Spring Data REST and Spring HATEAOS

To easily create mature, hypermedia-driven REST web services

| +

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Spring Data GemFireSpring Integration

+

Using Pivotal GemFire with Spring Integration For Inbound (Cache Events & CQ) and Outbound Channel

Adapters, Message Store, Lock Registry, Metadata Store

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Spring Data GemFireSpring XD

+

Using Pivotal GemFire with Spring XD (CQ, source & sink) To simplify Big Data applications

Performing Ingest, Analytics, Batch Jobs and Data Export

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Spring Data GemFireSpring Session

+

Using Pivotal GemFire with Spring Session (Data GemFire)To simplify (HTTP) Session State Management

+

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Spring Data GemFireSpring Boot

+

Using Pivotal GemFire with Spring BootTo get up and running as quickly as possible

+

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Spring Data GemFireSpring Cloud

+

Use Spring Cloud (Connectors)To build Cloud Native Applications and Microservices

Using Pivotal GemFire

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Examples

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Spring Data GemFire / Geode

Spring Data GemFire<dependency> <groupId>org.springframework.data</groupId> <artifactId>spring-data-gemfire</artifactId> <version>1.8.2.RELEASE</version></dependency>

Spring Data Geode<dependency> <groupId>org.springframework.data</groupId> <artifactId>spring-data-geode</artifactId> <version>1.0.0.APACHE-GEODE-INCUBATING-M2</version></dependency>

Pivotal GemFire

Maven Artifacts

http://search.maven.org/#artifactdetails%7Corg.springframework.data%7Cspring-data-gemfire%7C1.8.2.RELEASE%7Cjar

http://search.maven.org/#artifactdetails%7Corg.springframework.data%7Cspring-data-geode%7C1.0.0.APACHE-GEODE-INCUBATING-M2%7Cjar

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Spring Data GemFire / Geode

Spring Data GemFire<dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-gemfire</artifactId> <version>1.4.0.RELEASE</version></dependency>

Pivotal GemFire

Spring Boot Maven Artifact

http://search.maven.org/#artifactdetails%7Corg.springframework.data%7Cspring-data-gemfire%7C1.8.2.RELEASE%7Cjar

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Roadmap – Annotation Support for Callbacks

@Componentpublic class ExampleApplicationCallbacks {

@CacheListener(region = “EventSource”) public void afterCreate(EntryEvent<K, V> event) { .. }

@CacheLoader(region = “DataSink”) public void load(LoaderHelper<K, V> helper) { .. }

@CacheWriter(region = “DataSource”) public void beforeUpdate(EntryEvent<K, V> event) { .. }}

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Spring Data GemFire / Geode

Spring Data GemFire 2.0 Java 8 Spring Framework 5.0 GemFire 9.0

Projections; Java 8 Types (Optional<T>, Stream<T>); Reactive Support (?)

Codebase re-organization Test Framework support

Just around the corner…

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Spring Boot PR #6224 – Auto-configuration support for SDG Repositories

interface CustomerRepository extends Repository<Customer, Long> {}

@Region(“Customers”)class Customer {}

compile “org.springframework.boot:spring-boot-starter-data-gemfire:1.5.0.M1”

No longer necessary…@SpringBootApplication@EnableGemfireRepositoriesclass ExampleSpringBootApplication {}

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Spring Boot PR #5445 – Spring Boot Starter Data Geode

<dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-geode</artifactId> <version>???</version></dependency>`

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Spring Session PR #366 – Spring Session Data Geode

<dependency> <groupId>org.springframework.session</groupId> <artifactId>spring-session-data-geode</artifactId> <version>???</version></dependency>`

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References Spring Data GemFire (SDG) project page SDG GitHub source code SDG Reference Guide SDG API SDG Wiki page SDG Examples SDG JIRA Issue Tracking SDG StackOverflow spring-data-gemfire tag spring-data Gitter IM Channel

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Learn More. Stay Connected.

Oliver GierkeAdvanced Spring Data REST

11:00 – 12:15 PM

@springcentralspring.io/blog

@pivotalpivotal.io/blog

@pivotalcfhttp://engineering.pivotal.io

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QuestionsAnswers

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Thank You

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Safe Harbor Statement• The following is intended to outline the general direction of Pivotal's

offerings. It is intended for information purposes only and may not be incorporated into any contract. Any information regarding pre-release of Pivotal offerings, future updates or other planned modifications is subject to ongoing evaluation by Pivotal and is subject to change. This information is provided without warranty or any kind, express or implied, and is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions regarding Pivotal's offerings. These purchasing decisions should only be based on features currently available. The development, release, and timing of any features or functionality described for Pivotal's offerings in this presentation remain at the sole discretion of Pivotal. Pivotal has no obligation to update forward looking information in this presentation.