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Скачать или смотреть Updating Multiple Rows with JSON Input in PostgreSQL

  • vlogize
  • 2025-09-04
  • 0
Updating Multiple Rows with JSON Input in PostgreSQL
Postgresql: Update multiple rows using JSON inputpostgresqlupsert
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Описание к видео Updating Multiple Rows with JSON Input in PostgreSQL

Learn how to efficiently update multiple rows in PostgreSQL using JSON input. This guide covers both update and insert operations, complete with examples and solutions.
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This video is based on the question https://stackoverflow.com/q/64470725/ asked by the user 'Aagam Doshi' ( https://stackoverflow.com/u/11844300/ ) and on the answer https://stackoverflow.com/a/64661195/ provided by the user 'Aagam Doshi' ( https://stackoverflow.com/u/11844300/ ) 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: Postgresql: Update multiple rows using JSON input

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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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Updating Multiple Rows with JSON Input in PostgreSQL

PostgreSQL is a powerful relational database management system that allows you to perform complex queries and operations on your data. One common scenario that users encounter is the need to update multiple rows in a table based on the input from a JSON object. In this guide, we'll tackle how to effectively handle such updates and inserts in PostgreSQL, using a practical example.

The Problem

Imagine you have a JSON object that contains data about items, such as item_id, quantity, and statusId. You need to update existing records in your PostgreSQL database or insert new ones if they don't exist. The question is how to efficiently execute these operations using the JSON input.

Here’s what our sample input JSON looks like:

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

You'll notice that we need to perform both an update on the fields and an insert if the item does not already exist in the database.

The Solution

To achieve the desired results, we need to write two main queries: one for the UPDATE operation and another for the INSERT operation. Let’s break down these queries step by step.

Update Query

The UPDATE query is designed to update the quantity and status_id based on the provided JSON input. Here’s how it looks:

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

Explanation:

Target Table: vw_item_status_detail is the table we're updating.

SET Clause: Here, we're assigning the values extracted from the JSON using ->>, converting them to numeric where necessary.

FROM Clause: jsonb_array_elements is used to pull out elements from the items array in our JSON.

WHERE Clause: This clause ensures that we only update the rows where there is a matching item_id.

Insert Query

The INSERT query will add a new record in case the specified item does not exist in the vw_item_status_detail. Here’s the SQL for that:

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

Explanation:

Target Table: item is the target for the insert operation.

SELECT Clause: This selects fields from the JSON directly, ensuring that the correct values are pulled from i_data and each item element.

NOT EXISTS Clause: This prevents duplicates by ensuring we only insert items that do not already exist in the database.

Putting It All Together

By implementing both the UPDATE and INSERT queries outlined above, you'll be able to effectively manage both updates and insertions based on JSON input in PostgreSQL. This approach not only keeps your database up to date, but it also ensures data integrity by avoiding duplicate entries.

Conclusion

Updating multiple rows in PostgreSQL using JSON can seem daunting, but with the right queries and methods, it can be accomplished seamlessly. The explored queries provide a foundation that can be modified or expanded based on your specific requirements.

By utilizing the power of JSON and PostgreSQL together, we can make our data management tasks much more efficient.

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