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Скачать или смотреть How to Retrieve Key-Value Pairs by Primary Key in Cassandra Using Spring JPA

  • vlogize
  • 2025-05-26
  • 2
How to Retrieve Key-Value Pairs by Primary Key in Cassandra Using Spring JPA
Find all by primary keyspringspring bootcassandraspring data jpa
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Описание к видео How to Retrieve Key-Value Pairs by Primary Key in Cassandra Using Spring JPA

Learn effective methods to retrieve all key-value pairs by primary key in Cassandra using Spring JPA, avoiding common pitfalls.
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This video is based on the question https://stackoverflow.com/q/67105011/ asked by the user 'Forin' ( https://stackoverflow.com/u/2290763/ ) and on the answer https://stackoverflow.com/a/67107493/ provided by the user 'Panagiotis Bougioukos' ( https://stackoverflow.com/u/7237884/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

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Unlocking the Power of Cassandra: Retrieve Key-Value Pairs by Primary Key Using Spring JPA

Cassandra, a highly scalable NoSQL database, is known for its ability to manage large amounts of data across many servers. When dealing with data in Cassandra, you often need to perform queries that take advantage of its unique data modeling principles. This guide will guide you on how to efficiently retrieve all key-value pairs from a Cassandra table using Spring JPA, especially focusing on queries that rely on the primary key.

Understand Your Cassandra Table Structure

Before we dive into the solution, it's essential to have a clear understanding of our Cassandra table structure. Here's a simplified view of the table:

pkkeyvaluepk_1key_1value_1pk_1key_2value_2pk_1key_3value_3Primary Key Components

Partition Key: pk

Clustering Key: key

In this table, the combination of pk and key forms a compound primary key, which is crucial for our query operations.

The Problem: Incorrect Result Size Exception

As you attempt to retrieve key-value pairs by using the primary key (pk), you encounter the following error:

[[See Video to Reveal this Text or Code Snippet]]

This error arises from an incompatibility between the expected result type and the actual result of your query. Your initial approach might look something like this:

[[See Video to Reveal this Text or Code Snippet]]

While this looks logical, it actually expects a single result, causing the IncorrectResultSizeDataAccessException since multiple rows are returned for a single pk value.

The Solution: Modify Your Repository Method

To resolve this, consider changing your repository method to return a list of entities instead of a Map. This way, you can capture all the returned key-value pairs associated with the provided primary key. Here’s how to do this:

Updated Repository Method

[[See Video to Reveal this Text or Code Snippet]]

By using the findByKeyPk method, Spring Data JPA will automatically implement the correct query behind the scenes, allowing you to retrieve all matching records without any manual query syntax.

Benefits of the New Approach

Automatic Implementation: Spring Data handles the boilerplate code for you, making it easier to read and maintain.

Dynamic Result Handling: The list can adapt to return any number of results without causing exceptions.

Simpler Code: Clean and concise code is easier to understand and debug.

Summing Up

Using Spring JPA to query Cassandra efficiently requires an understanding of the data model and the appropriate method to fetch results. By changing your method signature to a list, not only do you avoid the IncorrectResultSizeDataAccessException, but you also improve the overall design of your data layer.

With this approach, you can now retrieve all key-value pairs in a straightforward manner, leveraging the power of Spring JPA with Cassandra. So, go ahead and implement this in your application to see the benefits firsthand!

Happy Coding!

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