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Скачать или смотреть Resolving the SQL Error: 1064 in JPA with MySQL

  • vlogize
  • 2025-09-08
  • 0
Resolving the SQL Error: 1064 in JPA with MySQL
SQL Error: 1064 SQLState: 42000 in @Query - JPA MySQL Hibernatejavamysqlhibernatejpa
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Описание к видео Resolving the SQL Error: 1064 in JPA with MySQL

Discover how to fix the commonly encountered `SQL Error: 1064` in JPA using MySQL and Hibernate with this easy-to-follow guide.
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This video is based on the question https://stackoverflow.com/q/63352754/ asked by the user 'Ganna' ( https://stackoverflow.com/u/14037433/ ) and on the answer https://stackoverflow.com/a/63353263/ provided by the user 'Eklavya' ( https://stackoverflow.com/u/4207306/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: SQL Error: 1064, SQLState: 42000 in @ Query - JPA, MySQL, Hibernate

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
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.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Resolving the SQL Error: 1064 in JPA with MySQL: A Step-by-Step Guide

Encountering SQL errors can be a common hurdle when working with databases in your Java applications. One particularly frustrating issue is the SQL Error: 1064, which often indicates a syntax error in your SQL query. If you've recently faced this error while using JPA to query a MySQL database, you're not alone. Let’s dive into the problem and explore a clear solution you can implement to get your application back on track.

The Problem

You might have built an API endpoint that uses JPA to fetch data from a MySQL database based on a provided date. However, when running the query, you're greeted with the SQL Error: 1064. This error signifies that there is a syntax issue occurring within your JPQL (Java Persistence Query Language) query.

The Context

In your implementation, you're attempting to filter records based on a LocalDate that is extracted from the path variable of your API endpoint. The associated error usually occurs when you are trying to manipulate or refer to the start field of your entity incorrectly in the JPQL query. Here’s a simplified view of the critical components in your implementation:

Controller: where you parse the date from the request and invoke the JPA repository method.

JPA Repository: where the query is constructed to retrieve domain usage statistics.

Entity Class: represents the structure of your database table.

However, your attempt to use toLocalDate() in your JPQL is not valid. Let’s look at how you can resolve this.

The Solution

The solution to this challenge involves reworking your query to avoid using toLocalDate() directly. Instead, you can calculate the start and end of the day for the LocalDate and use these boundaries to query your database effectively.

Steps to Fix the Query

Calculate Start and End of Day: First, compute the start and end LocalDateTime values from your LocalDate. Use the following code:

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

Modify the JPQL Query: Change your query in the repository to check if the start field falls between startOfDay and endOfDay, like so:

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

Implementation Example

Here’s how everything would look together in your controller method:

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

Conclusion

By altering your query to use a range defined by the start and end of the day, you can dodge the syntax problems associated with trying to convert the date directly in JPQL. This not only resolves the SQL Error: 1064 but also leads to a more robust querying strategy within your application.

If this issue has been a stumbling block for you, use the steps outlined above to address it swiftly. Happy coding!

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