Now, each element of the JSON array is returned on a separate row, and the product_id and quantity properties are extracted as separate columns. This query will return the following result: order_id | product_id | quantity SELECT order_id, json_extract_path_text ( json_array_elements_text ( items ), 'product_id' ):: INT AS product_id, json_extract_path_text ( json_array_elements_text ( items ), 'quantity' ):: INT AS quantity FROM orders Here’s how to modify our previous query to extract these properties: In our case, we want to extract the product_id and quantity properties from the JSON objects in the item column. The json_extract_path_text function takes a JSON object and a list of keys as input, and returns the value associated with the last key in the list. To extract individual properties from these objects, we can use the json_extract_path_text function. However, the item column still contains JSON objects. +-Īs you can see, each element of the JSON array is now returned on a separate row. This query will return the following result: order_id | item SELECT order_id, json_array_elements_text ( items ) AS item FROM orders The items column will store JSON arrays representing the items in each order. We’ll create a table called orders with two columns: order_id and items. Let’s start by creating a sample dataset containing JSON arrays. Basic knowledge of SQL and JSON data structures.An active Amazon Redshift cluster with access to the query editor or a SQL client.To follow along with this tutorial, you’ll need: In this tutorial, we’ll walk through the process of achieving this using SQL queries and Redshift’s built-in JSON functions. This can be useful for various data analysis tasks, such as filtering, aggregation, or joining with other datasets. When working with JSON arrays in Redshift, you may need to return each element of the array on a separate row. Amazon Redshift is a powerful, fully managed data warehouse that makes it simple to analyze large volumes of structured and semi- structured data. JSON data is becoming increasingly popular in data storage and processing, and as a data scientist, you’ll often encounter JSON arrays in your work. In this blog post, we’ll explore how to return elements of a JSON array on separate rows in Amazon Redshift. | Miscellaneous Unraveling Redshift JSON Arrays: Return Elements on Separate Rows
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