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Скачать или смотреть How to Show Multiple Rows Based on Values in Oracle SQL Developer

  • vlogize
  • 2025-03-19
  • 1
How to Show Multiple Rows Based on Values in Oracle SQL Developer
Oracle SQL Developer to show multiple rows based on value at different column with same dataoracle sqldeveloper
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Описание к видео How to Show Multiple Rows Based on Values in Oracle SQL Developer

Learn how to effectively display multiple rows based on values in Oracle SQL Developer using a row generator technique.
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This video is based on the question https://stackoverflow.com/q/75752315/ asked by the user 'Yudha Patria' ( https://stackoverflow.com/u/20983717/ ) and on the answer https://stackoverflow.com/a/75752665/ provided by the user 'Littlefoot' ( https://stackoverflow.com/u/9097906/ ) 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: Oracle SQL Developer to show multiple rows based on value at different column with same data

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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.

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Displaying Multiple Rows Based on Values in Oracle SQL Developer

When working with databases, you might encounter situations where you need to display multiple rows based on specific values in certain columns. Imagine you have a table that lists individuals and their associated counts, and you want your final output to reflect each individual’s count as separate rows. This task can be especially useful for reporting or data analysis in Oracle SQL Developer.

Understanding the Problem

Let's break down the problem using an example. Consider a simple table structure:

Column AColumn BJohn2Benedic3In this table, "Column A" contains names and "Column B" contains counts of how many times each name should be repeated. Your goal is to transform this table so that the output looks like this:

Column AJohnJohnBenedicBenedicBenedicThe challenge lies in generating multiple rows based on the values found in "Column B" for each corresponding name in "Column A". Is this possible in Oracle SQL Developer? Absolutely! The following solution utilizes a technique commonly referred to as a row generator.

Step-by-Step Solution

Sample Data Creation

First, let’s create a common table expression (CTE) to set up our sample data. The following SQL code creates a temporary dataset using DUAL, allowing us to simulate our scenario:

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

This creates a table-like structure with our example data for use in the query.

Generating Multiple Rows

Next, we can use the following SQL query to generate the desired result. This code employs a CROSS JOIN with a CONNECT BY clause to create multiple rows based on the count specified.

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

Breakdown of the Query:

CROSS JOIN: This is used to combine each row in the test dataset with a generated list of numbers based on the values in Column B (i.e., colb).

CONNECT BY LEVEL: This recursive clause generates a number of rows based on the maximum value found in colb.

ORDER BY: Ensures that the results are sorted in descending order based on Column A so that the names appear properly.

Expected Output

After executing the above query, you should see the following output in your Oracle SQL Developer:

COLAJohnJohnBenedicBenedicBenedicConclusion

By employing a simple row generator method within Oracle SQL Developer, you can easily expand how your data is presented. This approach is particularly useful for scenarios involving reporting or further data manipulation. Whether you're a database novice or an experienced developer, understanding and utilizing this solution will ease your data handling tasks.

Feel free to explore further possibilities with Oracle SQL to enhance your data analysis experience!

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