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Скачать или смотреть How to COUNT ROWS that Only Contain Numbers in PostgreSQL

  • vlogize
  • 2025-03-31
  • 1
How to COUNT ROWS that Only Contain Numbers in PostgreSQL
COUNT ROWS that ONLY CONTAIN numberssqlpostgresql
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Описание к видео How to COUNT ROWS that Only Contain Numbers in PostgreSQL

Discover how to accurately count rows in a PostgreSQL table where a specified column contains only numerical values. Learn the right query and regex use for successful results.
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This video is based on the question https://stackoverflow.com/q/70290693/ asked by the user 'Peanut' ( https://stackoverflow.com/u/17604564/ ) and on the answer https://stackoverflow.com/a/70291204/ provided by the user 'J Spratt' ( https://stackoverflow.com/u/9351817/ ) 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: COUNT ROWS that ONLY CONTAIN numbers

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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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Introduction

In the world of databases, managing and querying data effectively is crucial, especially when it comes to filtering specific information. A common requirement is counting rows with certain characteristics, such as ensuring that values in a column contain only numbers. If you're working with PostgreSQL and find yourself needing to execute this type of query, you're in the right place!

In this guide, we'll discuss a specific problem: counting the number of rows in a table where the values of a certain column consist solely of numeric characters. Let's break down the situation, the problem you might be facing, and how to solve it effectively.

The Problem

You have a table, my_table, with a column named name that stores text values. The entries in this column could include:

"My Tour"

"My number 1 Walking route"

"1234"

You want to count how many rows in this table contain values that strictly consist of numbers. Initially, you might attempt to use a query like this:

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

However, this query will not yield the desired outcome, as it does not correctly filter for values that contain only numbers. In fact, it will return rows containing at least one number, not solely numeric values.

The Solution

Using Regular Expressions

To achieve your goal, PostgreSQL offers a powerful functionality through its regular expressions (regex). Here’s the corrected query that counts rows where the name column strictly consists of numbers:

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

Breaking Down the Query

SELECT COUNT(*): This part is asking the database to count all the records that meet the specified condition.

FROM my_table: This specifies which table to query. Make sure your table name matches exactly.

WHERE name ~ '^[\d]+$': Here’s where the magic happens:

~ denotes a pattern matching operator for regex in PostgreSQL.

^ asserts the start of a string.

[\d]+ matches one or more digits (the \d represents any digit).

$ asserts the end of the string, meaning that there should be nothing following the digits.

Result

When you run this enhanced query, you will accurately count only those rows in the name column that contain numeric values exclusively. For example, in your dataset, it will return a count of 1 since "1234" is the only entry consisting solely of numbers.

Conclusion

Counting rows that contain only numbers in a PostgreSQL table is straightforward when you leverage regular expressions effectively. By understanding how to construct the correct query, you can significantly enhance your data querying capabilities.

So, the next time you need to filter for numeric values in your database, remember this method! It will save you time and ensure you get accurate results.

If you have more queries or need further assistance with SQL or PostgreSQL, feel free to leave a comment below!

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