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Скачать или смотреть How to Work with JSON Data in PostgreSQL: Counting Items in a Formatted List

  • vlogize
  • 2025-05-25
  • 1
How to Work with JSON Data in PostgreSQL: Counting Items in a Formatted List
How to work with data values formatted [{} {} {}]postgresql
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Описание к видео How to Work with JSON Data in PostgreSQL: Counting Items in a Formatted List

Learn how to effectively count items in a `JSON` formatted list in PostgreSQL using `json_array_length`. This step-by-step guide ensures you can work with complex data structures easily.
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This video is based on the question https://stackoverflow.com/q/72190032/ asked by the user 'rulans' ( https://stackoverflow.com/u/18092002/ ) and on the answer https://stackoverflow.com/a/72190177/ provided by the user 'Anthony Sotolongo' ( https://stackoverflow.com/u/8308381/ ) 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: How to work with data values formatted [{}, {}, {}]

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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 Work with JSON Data in PostgreSQL: Counting Items in a Formatted List

Understanding how to manage and manipulate complex data structures is crucial when working with databases. One common challenge is when data is stored in a JSON format, such as a list of products within a single database field. If you're dealing with data formatted like [{"product_id":463153}, {"product_id":463165}, {"product_id":463177}, {"pid":463218}], you may find it tricky to extract and analyze the information you need. In this post, we will walk through how to count the number of products in a given order using PostgreSQL's built-in features.

The Problem at Hand

Let's begin with the scenario: You have a table containing multiple orders, and each order has a Product List in a highly structured JSON format. The goal is to determine how many products each order includes. Here's a simplified view of the table structure you're working with:

Invoice IDStatusProduct List1234Processed[{"product_id":463153}, {"product_id":463165}, ...]What You're Working With

Your task is to count the number of products listed in the Product List column for orders that have been processed. Your initial attempt to use a standard SQL COUNT() function has proven unsuccessful, so you need to explore PostgreSQL's JSON functions.

The Solution Steps

In PostgreSQL, there are specific functions designed to handle JSON data. One of those is json_array_length, which can be used to count the number of items in a JSON array. Here's how to implement this function effectively in your query.

Step-by-Step Breakdown

Cast the Column to JSON: Since your Product List is in a string format, you need to cast it as a JSON type for PostgreSQL to understand it correctly.

Use json_array_length: This function counts the number of elements in the JSON array.

Construct the SQL Query: Here is the query that you will run:

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

Explanation of the SQL Query

SELECT invoice_id: This part selects the invoice identifier from your table.

json_array_length(Product_list::json) AS count: This function counts the number of products in the Product List for each invoice and gives you a column labeled count.

FROM quote_table: Specifies the table you are querying from.

WHERE status = 'processed': Filters the results to only include processed orders.

GROUP BY invoice_id: Groups the results by Invoice ID so that the count reflects the total number of products per order.

Example Outcome

Executing the query above would yield results similar to this:

invoice_idcount12344This tells you that the invoice with ID 1234 has 4 products listed in its Product List.

Conclusion

Retrieving and counting entries from a JSON array in PostgreSQL can be straightforward with the correct approach. By leveraging the json_array_length function, you can extract meaningful insights from seemingly complex data formats. Now, armed with this knowledge, you're better equipped to handle similar challenges within your database interactions.

Feel free to apply this method in your work, and watch as complex data structures become manageable!

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