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Скачать или смотреть Discovering Non-Existent Values in Oracle DB

  • vlogize
  • 2025-08-17
  • 1
Discovering Non-Existent Values in Oracle DB
Oracle DB: Select Values from a list that do not exist in DBsqloracle
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Описание к видео Discovering Non-Existent Values in Oracle DB

In this guide, learn how to efficiently find values in a list that do not exist in an Oracle database without creating a temporary table.
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This video is based on the question https://stackoverflow.com/q/64879793/ asked by the user 'grizzasd' ( https://stackoverflow.com/u/9425539/ ) and on the answer https://stackoverflow.com/a/64879839/ provided by the user 'Thorsten Kettner' ( https://stackoverflow.com/u/2270762/ ) 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 DB: Select Values from a list that do not exist in DB

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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Discovering Non-Existent Values in Oracle DB: A Simple Guide

When working with databases, it's common to encounter scenarios where you have a list of values and you need to determine which of those values are not represented in your database. This process can seem daunting, but with Oracle DB, you can easily achieve this without creating temporary tables. In this guide, we'll walk through a solution for identifying non-existent values in your Oracle database.

The Problem

Imagine you have a database table that contains the following data:

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

Now, let's say you also have a list that contains some names: John, Amy, Sarah, Sam. Your goal is to find out which names from this list do not exist in the database, which in this case, would be Sarah and Sam.

Many may think the easiest way to approach this would be to create a new table, insert the values from your list into that table, and then perform a join. However, this method is cumbersome and unnecessary. Thankfully, Oracle DB provides a more straightforward solution that allows you to do this without the overhead of extra table operations.

The Solution

Creating a Temporary Result Set

You can easily create a temporary result set on-the-fly using Oracle's powerful SQL capabilities. Here's how you can implement it:

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

Explanation of the SQL Query

Subquery Creation:

The inner select statement utilizes UNION ALL to create a virtual table consisting of the names from your list.

FROM dual is a special one-row, one-column table present by default in Oracle databases. It’s a useful way to generate a set of values without the need for creating an actual table.

Filtering Non-Existent Values:

The WHERE name NOT IN (SELECT name FROM mytable) clause filters out the names that exist in your database table (mytable). The result will only include names from your list that do not exist in your database.

Result Example

When you run the above SQL query, you will get:

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

These results are precisely what you were looking for – the names from your list that do not exist in the mytable.

Conclusion

Finding non-existent values in your Oracle database does not need to involve creating temporary structures. By utilizing a simple SQL query with a temporary result set created on-the-fly, you can efficiently identify which names from your list are missing in the database. This approach not only saves time but also keeps your database clean and free from unnecessary clutter.

By mastering this technique, you can streamline your data validation processes and enhance your data management workflow.

If you have any questions or need further clarification on this topic, feel free to reach out!

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