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Скачать или смотреть Resolving the Error: Truncated incorrect DOUBLE value in DELETE Statements with JDBC

  • vlogize
  • 2025-10-11
  • 0
Resolving the Error: Truncated incorrect DOUBLE value in DELETE Statements with JDBC
Truncated incorrect DOUBLE value using DELETE statementjavamysqljdbc
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Описание к видео Resolving the Error: Truncated incorrect DOUBLE value in DELETE Statements with JDBC

Struggling with the MySQL error "Data truncation: Truncated incorrect DOUBLE value" when using DELETE statements in JDBC? This guide breaks down the issue and provides effective solutions.
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This video is based on the question https://stackoverflow.com/q/68676258/ asked by the user 'leah' ( https://stackoverflow.com/u/16471663/ ) and on the answer https://stackoverflow.com/a/68676303/ provided by the user 'Tim Biegeleisen' ( https://stackoverflow.com/u/1863229/ ) 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: Truncated incorrect DOUBLE value using DELETE statement

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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.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Understanding the Problem

When working with SQL databases through Java using JDBC, you may encounter various errors that could hinder your application’s performance and functionality. One such error is the "Data truncation: Truncated incorrect DOUBLE value" encountered during DELETE operations.

This error often signals that there is a mismatch between the SQL statement components and what your database understands. More specifically, it typically arises from attempting to bind string inputs to column names in a prepared statement.

Let’s dive deeper into the problem and explore how to resolve it effectively.

Decoding the Error Message

The error message you are seeing – "Data truncation: Truncated incorrect DOUBLE value" – is triggered when you use a placeholder (?) for a column name. In SQL, placeholders are meant for data values only, not for identifiers like column names. This misunderstanding leads to the execution of an invalid SQL statement, thus the error.

What’s Wrong with the Code?

Here's a brief look at the problematic part of your code:

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

Here, the first ? is used to specify the column name, while the second ? represents a value to compare against.

Prepared statements cannot accept column names as parameters. This is the source of your error.

The Solution

To fix this issue, you need to hard-code the column names within your SQL statement, rather than trying to parameterize them. Here’s a step-by-step plan to correct the functionality of your DELETE statement:

Step 1: Define Your SQL Statement Dynamically

You need to create your SQL query based on the value of attribute directly. Here’s how you can implement this:

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

Step 2: Prepare the Statement

Now that your SQL string is correctly formulated, you can use it in your prepared statement:

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

Step 3: Handle Execution Responses

Finally, ensure that you handle the execution responses appropriately:

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

Conclusion

Resolving the "Data truncation: Truncated incorrect DOUBLE value" error involves understanding the misuse of placeholders in prepared statements. By hard-coding your column names based on the condition of your application logic, you can effectively circumvent the issue.

Takeaway

Use placeholders only for values, not for SQL identifiers (like column names).

Always validate and sanitize inputs before executing SQL commands to avoid SQL injection and other potential issues.

By following these guidelines, you can enhance the robustness of your database operations and ensure smoother execution of your SQL commands.



With this understanding, you'll be better equipped to troubleshoot and resolve similar database-related issues in the future. Happy coding!

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