Spring Data and In-Memory Data Management in Action

Spring Data and In-Memory
Data Management in Action
John Blum • Luke Shannon
@john_blum • @lukewshannon

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
3

Apache Geode Pivotal GemFire
4
~

5
Distributed
Linearly Scalable
High Throughput
Low/Predictable Latency
Highly Available
Consistent
Durable
In-Memory
Resilient/Fault Tolerant
Shared Nothing Architecture
Partitioned
Real-Time Big/Fast Data
Events/Continuous Query
Functions
Transactions
Queries/Indexes
Multi-Cluster
Client/Server
P2P
Persistent
Replication
Cloud
Secure
Serialization

Spring Data GemFire / Geode
7
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.
1. Integration with the Spring portfolio…
Purpose

8
+ +
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

9
+ +
With Spring’s Cache Abstraction and Spring Data GemFire/Geode
To serve as a JCache (JSR-107) caching provider
Spring Framework

10
Spring Data Commons
+
With SD Commons Repository Infrastructure and SD GemFire/Geode
To rapidly build Data Access Objects (CRUD + Mapping + Querying)
|

11
Spring Data REST & Spring HATEOAS
+
With SDC Repositories, Spring Data REST and Spring HATEAOS
To easily create mature, hypermedia-driven REST web services
| +

Spring Data GemFire
12
Spring Integration
+
Using Pivotal GemFire with Spring Integration
For Inbound (Cache Events & CQ) and Outbound Channel Adapters,
Message Store, Lock Registry, Metadata Store

Spring Data GemFire
13
Spring XD
+
Using Pivotal GemFire with Spring XD (CQ, source & sink)
To simplify Big Data applications
Performing Ingest, Analytics, Batch Jobs and Data Export

Spring Data GemFire
14
Spring Session
+
Using Pivotal GemFire with Spring Session (Data GemFire)
To simplify (HTTP) Session State Management
+

Spring Data GemFire
15
Spring Boot
+
Using Pivotal GemFire with Spring Boot
To get up and running as quickly as possible
+

Spring Data GemFire
16
Spring Cloud
+
Use Spring Cloud (Connectors)
To build Cloud Native Applications and Microservices
Using Pivotal GemFire

18
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
geode%7C1.0.0.APACHE-GEODE-INCUBATING-M2%7Cjar

19
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
gemfire%7C1.8.2.RELEASE%7Cjar

Roadmap – Annotation Support for Callbacks
20
@Component
public 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) {
..
}
}

 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
21
Just around the corner…

Spring Boot
22
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
@EnableGemfireRepositories
class ExampleSpringBootApplication {
}

Spring Boot
23
PR #5445 – Spring Boot Starter Data Geode
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-geode</artifactId>
<version>???</version>
</dependency>`

Spring Session
24
PR #366 – Spring Session Data Geode
<dependency>
<groupId>org.springframework.session</groupId>
<artifactId>spring-session-data-geode</artifactId>
<version>???</version>
</dependency>`

References
25
 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

Learn More. Stay Connected.
Oliver Gierke
Advanced Spring Data REST
11:00 – 12:15 PM
@springcentral
spring.io/blog
@pivotal
pivotal.io/blog
@pivotalcf
http://engineering.pivotal.io

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.
29

Spring Data and In-Memory Data Management in Action

More Related Content

What's hot (20)

Viewers also liked (20)

Similar to Spring Data and In-Memory Data Management in Action (20)

Recently uploaded (20)

Spring Data and In-Memory Data Management in Action