Spring Data JDBC: Beyond the Obvious

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SpringOne 2021 Session Title: Spring Data JDBC: Beyond the Obvious Speaker: Jens Schauder, Staff Engineer at VMware

Software

Confidential │ ©2021 VMware, Inc.
Spring Data JDBC
Beyond the Obvious
Jens Schauder (he/him)
Spring Data
Year 2 of the Pandemic

Confidential │ ©2021 VMware, Inc. 2
This presentation may contain product features or functionality that are currently under
development.
This overview of new technology represents no commitment from VMware to deliver these
features in any generally available product.
Features are subject to change, and must not be included in contracts, purchase orders, or
sales agreements of any kind.
Technical feasibility and market demand will affect final delivery.
Pricing and packaging for any new features/functionality/technology discussed or
presented, have not been determined.
The information in this presentation is for informational purposes only and may not be incorporated into any contract. There is no
commitment or obligation to deliver any items presented herein.
Disclaimer

Confidential │ ©2021 VMware, Inc.
Spring Data JDBC

Confidential │ ©2021 VMware, Inc. 4
Spring Data

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Relational Databases

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Strong Aggregates

Confidential │ ©2021 VMware, Inc.
Challenges

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User Defined IDs

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User Defined IDs
Use
• JdbcAggregateTemplate.insert
• Or a BeforeSaveCallback

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JSON / Custom Conversions

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JSON / Custom Conversions
• Use a custom type
• Register custom converters
• Don’t forget @ReadingConverter /
@WritingConverter

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Bidirectional Relationships

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Bidirectional Relationships (internal)
Set the backreference whenever adding an
inner entity.

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Bidirectional Relationships (external)
Use a custom query on the repository.

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Caching

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Caching
Use Springs existing caching abstraction on
the repository.

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Eager Loading References

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Eager Loading References
Create an entity defining the required
combination of aggregates (or their pieces)
Use a dedicated repository or custom
queries to load it.
You may want to “persist” the query as a
database view.

Confidential │ ©2021 VMware, Inc. 19
Resources
Source: https://github.com/schauder/talk-beyond
SD JDBC: https://github.com/spring-projects/spring-data-jdbc
Required Reading:https://spring.io/blog/2018/09/24/spring-data-
jdbc-references-and-aggregates
SO: https://stackoverflow.com/questions/tagged/spring-data-jdbc
Twitter: https://twitter.com/jensschauder

Confidential │ ©2021 VMware, Inc. 20
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SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries. SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL. To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context. A talk at SIGMOD, June 9–15, 2024, Santiago, Chile Authors: Julian Hyde (Google) and John Fremlin (Google) https://doi.org/10.1145/3626246.3653374

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Spring Data JDBC: Beyond the Obvious

2. Confidential │ ©2021 VMware, Inc. 2 This presentation may contain product features or functionality that are currently under development. This overview of new technology represents no commitment from VMware to deliver these features in any generally available product. Features are subject to change, and must not be included in contracts, purchase orders, or sales agreements of any kind. Technical feasibility and market demand will affect final delivery. Pricing and packaging for any new features/functionality/technology discussed or presented, have not been determined. The information in this presentation is for informational purposes only and may not be incorporated into any contract. There is no commitment or obligation to deliver any items presented herein. Disclaimer

18. Confidential │ ©2021 VMware, Inc. 18 Eager Loading References Create an entity defining the required combination of aggregates (or their pieces) Use a dedicated repository or custom queries to load it. You may want to “persist” the query as a database view.

19. Confidential │ ©2021 VMware, Inc. 19 Resources Source: https://github.com/schauder/talk-beyond SD JDBC: https://github.com/spring-projects/spring-data-jdbc Required Reading:https://spring.io/blog/2018/09/24/spring-data- jdbc-references-and-aggregates SO: https://stackoverflow.com/questions/tagged/spring-data-jdbc Twitter: https://twitter.com/jensschauder

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