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Скачать или смотреть How to Effectively Return a Field in SQL with WITH AS in PostgreSQL

  • vlogize
  • 2025-05-27
  • 0
How to Effectively Return a Field in SQL with WITH AS in PostgreSQL
how to return a field in with assqlpostgresql
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Описание к видео How to Effectively Return a Field in SQL with WITH AS in PostgreSQL

Discover how to use `WITH AS` in PostgreSQL to manage and return fields when inserting data from one table to another. Get a step-by-step guide on handling relationships between tables.
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This video is based on the question https://stackoverflow.com/q/68790837/ asked by the user 'Camel4488' ( https://stackoverflow.com/u/16430623/ ) and on the answer https://stackoverflow.com/a/68790891/ provided by the user 'Gordon Linoff' ( https://stackoverflow.com/u/1144035/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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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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How to Effectively Return a Field in SQL with WITH AS in PostgreSQL

When working with relational databases, especially in PostgreSQL, you might encounter scenarios where you need to insert data into one table based on the results of a query from another table. This often involves utilizing constructs like WITH AS for Common Table Expressions (CTEs). A common challenge arises when you need to return specific fields after an insertion, particularly when dealing with relationships between different tables. This guide will explore how to address these challenges with a clear example involving images and their corresponding identifiers.

The Problem

Imagine you have an image table and a poi_images table (point of interest images) that needs to be populated using data from a CSV import table, csv_images. You need to insert links into the image table while also recording relationships with the poi table. More specifically, you're pulling images based on a field (uri_id) in the csv_images that corresponds to the poi table. The challenge is that pure SQL allows returning only the values directly inserted into the row, complicating the passing of related identifiers to your subsequent queries.

Example Scenario

Table Overview:

image: Stores image links.

poi: Point of interest, includes a unique identifier (uri_id).

csv_images: Contains CSV-generated data including image links and the corresponding poi identifiers.

poi_images: The destination table where you need to link images to points of interest.

You have to manage the relationships effectively while ensuring the right data is inserted.

The Solution

Using WITH AS to Manage Insertions

To solve the problem, you can still leverage WITH AS to insert images and then use a join to fetch the related identifiers for the further insertion into poi_images. Below is a refined approach to accomplish this.

Step 1: Insert Images

First, you will insert the unique image links into the image table. You can do this as follows:

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

This segment accomplishes the insertion and uses the RETURNING * clause to fetch all inserted records.

Step 2: Insert into poi_images

Next, you'll take the image_id from the image_insert CTE and the corresponding identifiers from the csv_images table in order to insert into poi_images. You can do this with the following code:

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

This part effectively connects your new images with their respective points of interest by joining the original csv_images data based on the lien_image you just inserted.

Conclusion

This method allows you to efficiently manage the insertion of relational data across multiple tables using PostgreSQL. While the challenge of returning fields after insertion can be daunting, using WITH AS coupled with smart JOINs provides a clear path forward. By inserting data systematically and leveraging relationships between tables, you can maintain the integrity and connectivity of your data with ease.

Utilizing these techniques will not only improve your SQL prowess but also enable more complex data manipulations in your applications. Happy querying!

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