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Скачать или смотреть How to Resolve SQL Error [1064] When Using DELETE with a Subquery in MySQL

  • vlogize
  • 2025-09-30
  • 0
How to Resolve SQL Error [1064] When Using DELETE with a Subquery in MySQL
DELETE FROM throws a SQL Error [1064] [42000]: (conn=5159) on a query on which a SELECT worksmysqlsqlmariadbsubquerysql delete
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Описание к видео How to Resolve SQL Error [1064] When Using DELETE with a Subquery in MySQL

Struggling with SQL Error [1064] while attempting a delete operation in MySQL? This guide outlines the problem and provides a clear solution using the DELETE ... JOIN syntax.
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This video is based on the question https://stackoverflow.com/q/63745298/ asked by the user 'Vityata' ( https://stackoverflow.com/u/5448626/ ) and on the answer https://stackoverflow.com/a/63745350/ provided by the user 'GMB' ( https://stackoverflow.com/u/10676716/ ) 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: DELETE FROM throws a SQL Error [1064] [42000]: (conn=5159) on a query, on which a SELECT works

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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Understanding SQL Error [1064] and How to Fix It

One of the common errors faced by developers when working with SQL databases is the dreaded SQL Error [1064]. This error typically indicates a syntax issue, and it can be particularly frustrating when it occurs while executing DELETE statements. In this post, we will explore a specific case involving the MySQL DELETE statement and how to resolve the issue effectively.

The Problem

When trying to delete specific rows in a MySQL database, you may find that your DELETE query fails while your SELECT query works without any issues. Let's break down a real-world example to understand this better.

In the scenario, a SQL user attempted to use the following DELETE query:

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

The error message returned was:

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

This raises the question: What went wrong?

Analyzing the Error

The immediate problem is that not all MySQL versions support aliasing the table directly in DELETE statements. The syntax "not exists" is also not formatted correctly for use in the way it was attempted.

Key Points to Consider:

Aliasing Limitation: In MySQL, you cannot use table aliases as part of the DELETE FROM statement directly in conjunction with certain clauses.

Using EXISTS vs. NOT EXISTS: The EXISTS and NOT EXISTS operators need to be properly structured as part of the standard SQL syntax.

Re-opening Tables: You cannot re-open the table you’re deleting from in the FROM clause.

The Solution

To get around the limitations of the DELETE syntax in MySQL, consider using the DELETE ... JOIN syntax. This method enables you to join the table you wish to delete from with a subquery, allowing for greater flexibility in your query.

Here’s how you can structure your DELETE statement effectively:

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

Breakdown of the Solution

Deleting with JOIN: This approach utilizes a join between the main table (ns_cos) and a derived table that groups the maximum created_at timestamps by month_year.

Condition Specification: The ON condition specifies exactly which rows you want to delete, ensuring that only rows where the created_at is not equal to the maximum timestamp are deleted.

Syntax Clarity: Using this method avoids the pitfalls of aliasing issues directly in the DELETE statement, resulting in clearer and properly structured SQL.

Conclusion

Encountering SQL errors such as [1064] can be understandably frustrating, but they often lead to better understanding and mastery of SQL syntax. By utilizing the DELETE ... JOIN syntax, you can efficiently address your needs for bulk deletion without running into common issues.

If you're ever faced with a similar situation, remember to check your SQL syntax and consider alternative approaches like the one we've discussed here! Happy querying!

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