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Скачать или смотреть Generating Multiple Rows from a Subquery in SQL

  • vlogize
  • 2025-10-05
  • 0
Generating Multiple Rows from a Subquery in SQL
Need SQL to generate multiple rows from subquerysqloracle
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Описание к видео Generating Multiple Rows from a Subquery in SQL

Learn how to generate multiple rows from a subquery in SQL, using Oracle SQL techniques, with an illustrative example.
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This video is based on the question https://stackoverflow.com/q/63940074/ asked by the user 'draca' ( https://stackoverflow.com/u/2323932/ ) and on the answer https://stackoverflow.com/a/63940256/ provided by the user 'EJ Egyed' ( https://stackoverflow.com/u/7110099/ ) 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: Need SQL to generate multiple rows from subquery

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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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Generating Multiple Rows from a Subquery in SQL: A Simple Guide

Handling date-related queries in SQL, particularly when you need to generate multiple rows based on a subquery, can be a challenge for many developers and data analysts. In this guide, we will explore how to accomplish this task effectively using a straightforward example.

The Problem

Imagine you have a query that retrieves a specific month and year. For simplicity, let's use the following SQL query as a reference:

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

What if you wanted to extend this query to not just output the selected month and year but also include the two preceding months, along with their corresponding years? The desired outcome would look something like this:

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

So, how do you achieve this in SQL? Let’s dive into the solution.

The Solution

To generate multiple rows from this kind of subquery, you can utilize the CONNECT BY clause along with the ADD_MONTHS and TO_DATE functions. This approach allows you to dynamically calculate the required months and years based on the provided month and year.

SQL Query Breakdown

Here's how you can write your SQL query effectively:

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

Explanation of Key Components

Common Table Expression (CTE):

The WITH sample_data AS (...) part allows you to define a temporary result set or CTE. Here, it holds the month and year that we will use.

TO_DATE and ADD_MONTHS Functions:

TO_DATE(month || '-' || year, 'MM-YYYY') converts the month and year into a proper date format.

ADD_MONTHS(..., ((LEVEL * -1) + 1)) adjusts the date backward by the specified number of months. LEVEL generates a number for each row in a hierarchy, so multiplying it allows you to control how far back to search.

CONNECT BY:

This clause is used to specify how many rows to generate. Here, LEVEL <= 3 creates 3 rows: the provided month and year plus the two preceding months.

Final Output

When the query is executed, you will get the targeted result as follows:

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

By following this structured approach, you can easily modify the input month and year values as needed to accommodate different scenarios in your SQL queries.

Conclusion

Generating multiple rows from a subquery in SQL can seem daunting initially, but with the right techniques—like using Common Table Expressions, the ADD_MONTHS function, and the CONNECT BY clause—you can make your SQL queries both efficient and effective. The above example illustrates just one of the many ways you can retrieve date-related data dynamically.

Now, whether you're handling a complex hierarchy of tables or just dealing with a straightforward month/year input, you have the tools at your disposal to tackle similar SQL challenges. Happy querying!

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