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Sneak Peek at Spring Data Cassandra (SpringOne 2016)

Sneak Peek at Spring Data Cassandra (SpringOne 2016)

Spring Data Cassandra was a community-maintained module for several years. The Spring Data team promotes the Cassandra module with the Ingalls release train to a core module. Project leads John Blum and Mark Paluch will guide you through the upcoming changes in Spring Data Cassandra and give you an impression what to expect from the upcoming version.

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Mark Paluch

July 28, 2016
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  1. Unless otherwise indicated, these slides are © 2013-2016 Pivotal Software,

    Inc. and licensed under a Creative Commons Attribution-NonCommercial license: http://creativecommons.org/licenses/by-nc/3.0/ Sneak Peek at Spring Data Cassandra John Blum • Mark Paluch @john_blum • @mp911de
  2. None
  3. Unless otherwise indicated, these slides are © 2013-2016 Pivotal Software,

    Inc. and licensed under a Creative Commons Attribution-NonCommercial license: http://creativecommons.org/licenses/by-nc/3.0/ Module setup Hopper 3 Commons Neo4j Gemfire JPA Solr ElasticSearch REST Cassandra Couchbase Redis MongoDB Community
 modules Core
 modules
  4. Unless otherwise indicated, these slides are © 2013-2016 Pivotal Software,

    Inc. and licensed under a Creative Commons Attribution-NonCommercial license: http://creativecommons.org/licenses/by-nc/3.0/ Module setup Ingalls 4 Commons Neo4j Gemfire JPA Solr ElasticSearch REST Cassandra Couchbase Redis MongoDB Community
 modules Core
 modules
  5. Unless otherwise indicated, these slides are © 2013-2016 Pivotal Software,

    Inc. and licensed under a Creative Commons Attribution-NonCommercial license: http://creativecommons.org/licenses/by-nc/3.0/ Sneak Peek : Spring Data Cassandra 1.5 5
  6. Unless otherwise indicated, these slides are © 2013-2016 Pivotal Software,

    Inc. and licensed under a Creative Commons Attribution-NonCommercial license: http://creativecommons.org/licenses/by-nc/3.0/ Demo 6 Java 8 Features
  7. Unless otherwise indicated, these slides are © 2013-2016 Pivotal Software,

    Inc. and licensed under a Creative Commons Attribution-NonCommercial license: http://creativecommons.org/licenses/by-nc/3.0/ Demo 7 Custom Conversions
  8. Unless otherwise indicated, these slides are © 2013-2016 Pivotal Software,

    Inc. and licensed under a Creative Commons Attribution-NonCommercial license: http://creativecommons.org/licenses/by-nc/3.0/ Demo 8 Query Derivation
  9. Unless otherwise indicated, these slides are © 2013-2016 Pivotal Software,

    Inc. and licensed under a Creative Commons Attribution-NonCommercial license: http://creativecommons.org/licenses/by-nc/3.0/ Wrap-up • Spring Data Cassandra to become a core module • Upgrade to Cassandra 3.0 • Support JSR-310/Joda/ThreeTenBackPort Date types • Support for Optional and Stream • Custom Conversions • Query Derivation • Projections using Interfaces • Revised Documentation 9
  10. Unless otherwise indicated, these slides are © 2013-2016 Pivotal Software,

    Inc. and licensed under a Creative Commons Attribution-NonCommercial license: http://creativecommons.org/licenses/by-nc/3.0/ Try it yourself 10 <dependency> <groupId>org.springframework.data</groupId> <artifactId>spring-data-cassandra</artifactId> <version>1.5.0.M1</version> </dependency> <repositories> <repository> <id>spring-milestones</id> <url>https://repo.spring.io/libs-milestone</url> </repository> </repositories>
  11. Unless otherwise indicated, these slides are © 2013-2016 Pivotal Software,

    Inc. and licensed under a Creative Commons Attribution-NonCommercial license: http://creativecommons.org/licenses/by-nc/3.0/ Roadmap: Spring Data Cassandra 2.0 • Reactive Data Access • Split of the synchronous and asynchronous API (AsyncCqlTemplate, AsyncCassandraTemplate) • Support for UDT mapping and Tuples • Support for Paging • Extended support for schema generation 11
  12. Unless otherwise indicated, these slides are © 2013-2016 Pivotal Software,

    Inc. and licensed under a Creative Commons Attribution-NonCommercial license: http://creativecommons.org/licenses/by-nc/3.0/ Related Sessions • Thu, 4th, August, 2016 • 9:00 am – John Blum, Luke Shannon
 Spring Data and In-Memory Data Management in Action
 • Thu, 4th, August, 2016 • 11:10 am – Oliver Gierke
 Advanced Spring Data REST
 • Thu, 4th, August, 2016 • 11:45 am – Viktor Gamov, Neil Stevenson
 Spring Data Hazelcast: Fluently Accessing Distributed Repositories 12
  13. Unless otherwise indicated, these slides are © 2013-2016 Pivotal Software,

    Inc. and licensed under a Creative Commons Attribution-NonCommercial license: http://creativecommons.org/licenses/by-nc/3.0/ Resources • Slides – mp911.de/s1sdc15 • Spring Data Examples – Repository @ Github • Spring Data wiki (Release trains, planning) – Wiki • Spring projects release calendar – Google Calendar • NEW: Find us on Gitter! 13
  14. Unless otherwise indicated, these slides are © 2013-2016 Pivotal Software,

    Inc. and licensed under a Creative Commons Attribution-NonCommercial license: http://creativecommons.org/licenses/by-nc/3.0/ Feedback welcome 14
  15. Unless otherwise indicated, these slides are © 2013-2016 Pivotal Software,

    Inc. and licensed under a Creative Commons Attribution-NonCommercial license: http://creativecommons.org/licenses/by-nc/3.0/ Learn More. Stay Connected. @springcentral spring.io/blog @pivotal pivotal.io/blog @pivotalcf http://engineering.pivotal.io Follow us @SpringData Talk to us spring-projects/spring-data
  16. Unless otherwise indicated, these slides are © 2013-2016 Pivotal Software,

    Inc. and licensed under a Creative Commons Attribution-NonCommercial license: http://creativecommons.org/licenses/by-nc/3.0/ 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. 16