Edit the Abstract, Introduction, and Getting Started chapters in the Reference Documentation.
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@@ -48,18 +48,18 @@ Spring Boot for Apache Geode & Pivotal GemFire provides the convenience of Sprin
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approach using _auto-configuration_ with the Spring Framework's powerful abstractions and highly consistent programming
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model to truly simplify the development of Apache Geode or Pivotal GemFire applications in a Spring context.
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Secondarily, Spring Boot for Apache Geode & Pivotal GemFire aims to give developers a consistent experience whether
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building and running Spring Boot, Apache Geode/Pivotal GemFire applications locally or in a managed environment,
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Secondarily, Spring Boot for Apache Geode & Pivotal GemFire aims to provide developers with a consistent experience
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whether building and running Spring Boot, Apache Geode/Pivotal GemFire applications locally or in a managed environment,
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such as with https://pivotal.io/platform[Pivotal CloudFoundry] (PCF).
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This project is a continuation and logical extension to Spring Data for Apache Geode/Pivotal GemFire's
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{spring-data-geode-docs-html}/#bootstrap-annotation-config[annotation-based configuration model] and the goals
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set forth with that: _enable application developers to *get up and running* as *quickly* and as *easily*
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This project is a continuation and a logical extension to Spring Data for Apache Geode/Pivotal GemFire's
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{spring-data-geode-docs-html}/#bootstrap-annotation-config[Annotation-based configuration model] and the goals
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set forth in that model: _To enable application developers to *get up and running* as *quickly* and as *easily*
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as possible_. In fact, Spring Boot for Apache Geode/Pivotal GemFire builds on this very
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{spring-data-geode-docs-html}/#bootstrap-annotation-config[foundation] cemented in
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Spring Data for Apache Geode/Pivotal GemFire
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(SDG footnoteref:[SDG, Spring Data for Apache Geode and Spring Data for Pivotal GemFire are commonly known as SDG.])
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since the Spring Data *Kay* Release Train.
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since the Spring Data Kay Release Train.
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[[introduction]]
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== Introduction
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@@ -67,7 +67,7 @@ since the Spring Data *Kay* Release Train.
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Spring Boot for Apache Geode & Pivotal GemFire automatically applies _auto-configuration_ to several key
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application concerns (_Use Cases_) including, but not limited to:
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* _Look-Aside Caching_, using either Apache Geode or Pivotal GemFire as the caching provider in
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* _Look-Aside Caching_, using either Apache Geode or Pivotal GemFire as a caching provider in
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{spring-framework-docs}/integration.html#cache[Spring's Cache Abstraction].
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* {wikipedia-docs}/System_of_record[_System of Record_ (SOR)], persisting application state reliably in Apache Geode
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or Pivotal GemFire using {spring-data-commons-docs-html}/#repositories[Spring Data Repositories].
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@@ -79,9 +79,9 @@ and {spring-data-geode-docs-html}/#apis:global-transaction-management[Global JTA
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and conveniently implemented and executed with SDGfootnoteref:[SDG] {spring-data-geode-docs-html}/#function-annotations[POJO-based, annotation support for Functions].
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* _Continuous Queries_, expressing interests in a stream of events, where applications are able to react to and process changes to data in near real-time
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using Apache Geode/Pivotal GemFire {apache-geode-docs}/developing/continuous_querying/chapter_overview.html[Continuous Query (CQ)].
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Handlers are defined in simple Message-Driven POJOs (MDP) using Spring's {spring-framework-docs}/integration.html#jms-mdp[Message Listener Container],
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which has been {spring-data-geode-docs-html}/#apis:continuous-query[extended] in, and is {spring-data-geode-docs-html}/#bootstrap-annotation-config-continuous-queries[configurable]
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using SDGfootnoteref:[SDG] CQ support.
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Handlers are defined as simple Message-Driven POJOs (MDP) using Spring's {spring-framework-docs}/integration.html#jms-mdp[Message Listener Container],
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which has been {spring-data-geode-docs-html}/#apis:continuous-query[extended] by SDGfootnoteref:[SDG] with its
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{spring-data-geode-docs-html}/#bootstrap-annotation-config-continuous-queries[configurable] CQ support.
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* _Data Serialization_ with Apache Geode/Pivotal GemFire {apache-geode-docs}/developing/data_serialization/gemfire_pdx_serialization.html[PDX],
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including first-class {spring-data-geode-docs-html}/#bootstrap-annotation-config-pdx[configuration]
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and {spring-data-geode-docs-html}/#mapping.pdx-serializer[support] in SDGfootnoteref:[SDG].
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@@ -90,10 +90,12 @@ and {spring-data-geode-docs-html}/#mapping.pdx-serializer[support] in SDGfootnot
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using Apache Geode/Pivotal GemFire's {apache-geode-docs}/managing/security/ssl_overview.html[Secure Socket Layer (SSL)].
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Once again, SDGfootnoteref:[SDG] includes first-class support for configuring {spring-data-geode-docs-html}/#bootstrap-annotation-config-security[Auth]
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and {spring-data-geode-docs-html}/#bootstrap-annotation-config-ssl[SSL].
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* _HTTP Session state management_, by including Spring Session for Apache Geode/Pivotal GemFire on your application's
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classpath.
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While Spring Data for Apache Geode & Pivotal GemFire offers a simple, very convenient and declarative approach
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to configure all these extremely powerful Apache Geode/Pivotal GemFire features, Spring Boot for Apache Geode
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& Pivotal Gemfire makes this even easier to do as we will explore throughout this Reference Guide.
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While Spring Data for Apache Geode & Pivotal GemFire offers a simple, convenient and declarative approach to configure
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all these powerful Apache Geode/Pivotal GemFire features, Spring Boot for Apache Geode & Pivotal Gemfire makes it even
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easier to do as we will explore throughout this Reference Documentation.
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[[getting-started]]
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== Getting Started
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@@ -108,20 +110,21 @@ Then, our journey continues with the extensions built into Spring Data for Apach
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(SDGfootnoteref:[SDG, Spring Data for Apache Geode and Spring Data for Pivotal GemFire are commonly known as SDG.])
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to truly simplify the development of Apache Geode & Pivotal GemFire applications in a Spring context, using Spring's
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powerful abstractions and highly consistent programming model. This part of the story was greatly enhanced in
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Spring Data *Kay*, with the SDGfootnoteref:[SDG] {spring-data-geode-docs-html}/#bootstrap-annotation-config[annotation-based configuration model].
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Spring Data Kay, with the SDGfootnoteref:[SDG] {spring-data-geode-docs-html}/#bootstrap-annotation-config[Annotation-based configuration model].
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Though this new configuration approach using annotations provides sensible defaults out-of-the-box, its use
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is also very explicit and assumes nothing. That is, you still must tell SDGfootnoteref:[SDG] what you want.
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is also very explicit and assumes nothing. If any part of the configuration is ambiguous, SDG will fail fast.
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SDG gives you "_choice_", so you still must tell SDGfootnoteref:[SDG] what you want.
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Next, we venture into Spring Boot and all of its wonderfully expressive and highly opinionated "_convention over configuration_"
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approach for getting the most out of your Spring, Apache Geode/Pivotal GemFire based applications in the quickest/easiest way
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possible. We accomplish this by combining Spring Data for Apache Geode/Pivotal GemFire's
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{spring-data-geode-docs-html}/#bootstrap-annotation-config[annotation-based configuration] with Spring Boot's
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approach for getting the most out of your Spring, Apache Geode/Pivotal GemFire based applications in the easiest,
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quickest and most reliable way possible. We accomplish this by combining Spring Data for Apache Geode/Pivotal GemFire's
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{spring-data-geode-docs-html}/#bootstrap-annotation-config[Annotation-based configuration] with Spring Boot's
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{spring-boot-docs-html}/#using-boot-auto-configuration[auto-configuration] to get you up and running even faster
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and more reliably so that you are productive from the start.
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As such, it would be pertinent to begin your Spring Boot education {spring-boot-docs-html}/#getting-started[here].
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Finally, we arrive at Spring Boot for Apache Geode & Pivotal GemFire.
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Finally, we arrive at Spring Boot for Apache Geode & Pivotal GemFire (SBDG).
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[[maven-gradle]]
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== Using Spring Boot for Apache Geode and Pivotal GemFire
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