John Blum

John Blum

Alumni
Recent Blog posts by John Blum

Spring Session Data Geode/GemFire 2.0.0.RC1 Available

Engineering | November 07, 2017 | ...

On behalf of the Spring and Apache Geode/Pivotal GemFire communities, I am pleased to announce the release of Spring Session Data Geode and Spring Session Data GemFire 2.0.0.RC1 releases.

Both releases build on:

  1. Spring Framework 5.0.1.RELEASE

  2. Spring Security 2.0.0.RC1

  3. Spring Data Kay-RC1

  4. Spring Session core 2.0.0.RC1

  5. Spring Boot 2.0.0.M5

The artifacts can be acquired from Spring libs-milestone:

Maven

<repositories>
  <repository>
    <id>spring-libs-milestone</id>
    <url>https://repo.spring.io/libs-milestone</url>
  </repository>
</repositories>

<dependencies>
  <dependency…

$ diff -q spring-data-gemfire spring-data-geode

Engineering | October 26, 2017 | ...

Greetings Spring Community and Pivotal GemFire/Apache Geode Users-

One question I constantly get asked is, "What is the difference between Spring Data GemFire and Spring Data Geode?"

Now that Spring Data Geode is part of the Spring Data Release Train, beginning with Kay (see the official release announcement for more details), the timing is finally right to answer this question in an open forum.

To help answer this question, I set 2 simple objectives for both Spring Data GemFire and Spring Data Geode (collectively known as SDG^2 now):

  1. First, and most importantly, allow users to seamlessly interchange Spring Data Geode with Spring Data GemFire, and vice versa.

  2. Next, help users migrate their Spring Boot, Pivotal GemFire or Apache Geode based applications from their local development environment to a managed environment, like Pivotal CloudFoundry, with little to no code changes at all.

Spring Session Data Geode/GemFire 2.0.0.M2 Available

Engineering | October 06, 2017 | ...

Greetings Spring Community!

I am pleased to announce the second milestone of both Spring Session Data Geode for Apache Geode and Spring Session Data GemFire for Pivotal GemFire.

The 2nd milestone release brings many welcome improvements, including:

  • Upgrades to Spring Framework 5.0.0.RELEASE.

  • Upgrades to Spring Data Kay-RELEASE.

  • Upgrades to Spring Session 2.0.0.M4.

  • Upgrades to Spring Boot 2.0.0.M4.

  • Adds support for Pivotal GemFire and Apache Geode PDX Serialization.

  • Introduces a new Serialization framework and adapter for Pivotal GemFire/Apache Geode’s Data Serialization and PDX frameworks.

Spring Session Data Geode/GemFire 2.0.0.M1 now available.

Engineering | July 27, 2017 | ...

Greetings Spring Community!

It is my pleasure to announce the first milestone release of both Spring Session Data Geode for Apache Geode and Spring Session Session Data GemFire for Pivotal GemFire.

Both artifacts can be downloaded from Spring’s libs-milestone Repository using Maven …​

  <dependency>
    <groupId>org.springframework.session</groupId>
    <artifactId>spring-session-data-geode</artifactId>
    <version>2.0.0.M1</version>
  </dependency>

Or with Gradle…​

  compile 'org.springframework.session:spring-session-data-geode:2.0.0.M1'

To use Spring Session with Pivotal GemFire, just switch the artifact from spring-session-data-geode to spring-session-data-gemfire

Spring Data Geode 1.0.0.INCUBATING-RELEASE Released

Engineering | November 10, 2016 | ...

On behalf of the Spring and Apache Geode communities, I am extremely pleased and excited to announce the release of Spring Data for Apache Geode 1.0.0-incubating.

You can get the bits from Maven Central by including the following dependency in either your application Maven POM or Gradle build file...

Maven

<dependency>
  <groupId>org.springframework.data</groupId>
  <artifactId>spring-data-geode</artifactId>
  <version>1.0.0.INCUBATING-RELEASE</version>
</dependency>

Gradle

compile 'org.springframework.data:spring-data-geode:1.0.0.INCUBATING-RELEASE'

Including the spring-data-geode dependency will transitively pull in all required Apache Geode artifacts so you can start building Spring applications that use Apache Geode

Spring Data Geode 1.0.0.APACHE-GEODE-INCUBATING-M3 Released

Engineering | October 11, 2016 | ...

I apologize to both the Spring and Apache Geode communities for the delay, relative to the Apache Geode M3 release announcement, but I am very excited and pleased to follow that with the release of Spring Data for Apache Geode 1.0.0-incubating.M3.

You can get the bits from Maven Central by including the following dependency in either your application Maven or Gradle build files ...

Maven

<dependency>
  <groupId>org.springframework.data</groupId>
  <artifactId>spring-data-geode</artifactId>
  <version>1.0.0.APACHE-GEODE-INCUBATING-M3</version>
</dependency>

Gradle

compile 'org…

Spring Data Geode 1.0.0.APACHE-GEODE-INCUBATING-M2 Released

Engineering | April 29, 2016 | ...

I am pleased to announce the release of Spring Data Geode 1.0.0.APACHE-GEODE-INCUBATING-M2, offering support for the recently announced Apache Geode 1.0.0-incubating.M2 release.

Spring Data Geode is a specific version of Spring Data GemFire with support for Apache Geode rather than Pivotal GemFire.

Both Spring Data GemFire and Spring Data Geode are based on the same source repository in GitHub, however, Apache Geode support lives in the apache-geode branch. Therefore, you won't find a separate Spring Data project specifically for Apache Geode, but this is of little consequence since your existing knowledge of Pivotal GemFire combined with Spring Data GemFire will be immediately useful and transferable to Apache Geode and Spring Data Geode

Spring Data GemFire supports Apache Geode

Releases | June 12, 2015 | ...

I am pleased to announce that Spring Data GemFire now has support for Apache Geode.

What is Apache Geode?

In a nutshell, Apache Geode is the open source core of Pivotal GemFire. Geode was recently accepted into the Apache incubator after being submitted by Pivotal to the Apache Software Foundation as part of the BDS open sourcing effort.

Technically, Apace Geode is an in-memory, distributed database (a.k.a. IMDG) enabling new as well as existing Spring/Java applications to operate at cloud scale with high availability and predictable latency without sacrificing consistency. Applications are able to transact and analyze Big Data in realtime to achieve…

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