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Скачать или смотреть Resolving the syntax error at or near "text" in PostgreSQL Queries with UNNEST

  • vlogize
  • 2025-09-22
  • 0
Resolving the syntax error at or near "text" in PostgreSQL Queries with UNNEST
ERROR: syntax error at or near text Position: 314postgresqlplpgsqldynamic sql
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Описание к видео Resolving the syntax error at or near "text" in PostgreSQL Queries with UNNEST

Discover how to solve the `syntax error at or near "text"` problem in PostgreSQL by leveraging the `UNNEST` function for array manipulation. Learn efficient query crafting techniques!
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This video is based on the question https://stackoverflow.com/q/63004748/ asked by the user 'Alexander Showlsky' ( https://stackoverflow.com/u/13966038/ ) and on the answer https://stackoverflow.com/a/63004813/ 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: ERROR: syntax error at or near "text" Position: 314

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 the PostgreSQL Syntax Error

If you’re working with PostgreSQL, you might encounter the infamous syntax error: ERROR: syntax error at or near "text" Position: 314. This error can be frustrating, especially when you're trying to write complex queries involving arrays. Let's break down the situation and explore how you can overcome this issue.

The Problem at Hand

Imagine you wrote a query to check if any value from a given array exists in a specific table column. You may expect the following structure of your array:

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

In your original query, you attempted to loop through each value in this array and executed a dynamic SQL statement like so:

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

However, you encountered a syntax error that halted your progress. Let’s dive into why this occurred and how to resolve it.

Understanding the Error

The error essentially stems from the way you're trying to reference the variable w within the dynamic SQL context. PostgreSQL is designed to interpret SQL statements literally, thus making it incapable of recognizing w as a variable in your string. We can move forward by simplifying the approach to avoid complex loops altogether.

A More Efficient Solution

Instead of looping through each element in the array, you can achieve your desired outcome using a more straightforward query that utilizes the EXISTS clause along with the UNNEST function. Here’s how you can format the query to retrieve users whose names match any keyword from the words array.

Step-by-Step Breakdown

Declare and Initialize Your Array: Use the string_to_array function to create an array from your string input.

Utilize UNNEST: The UNNEST function helps to expand the array into a set of rows that can be compared directly against your table’s columns.

Write the Final Query: Here’s the optimized SQL statement:

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

Explanation of the Query

Selecting Users: The outer query selects all columns from the users table.

EXISTS Clause: This checks if there is at least one row returned by the inner query.

INNER Query Utilizing UNNEST: Inside the inner query, UNNEST converts the space-separated string into individual rows, allowing you to search effectively within the names associated with each user.

Conclusion

By utilizing the UNNEST function instead of a looping structure, you can efficiently check for each name in the users table against any number of search terms in your words variable. This not only resolves the syntax error but also simplifies your query, making it clearer and more maintainable.

Keep experimenting with queries and leveraging the power of PostgreSQL to make your data manipulation tasks easier and more efficient. Happy querying!

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