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Discover how to seamlessly extract JSON attributes in Amazon Redshift without the unwanted double quotes around your values. Learn effective techniques and tips for cleaning your data.
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How to Extract Values from Amazon Redshift JSON Data Without Double Quotes

When working with Amazon Redshift, JSON data ingestion can come with its own set of challenges. One common issue that many data professionals encounter is the way Redshift handles JSON attributes, particularly when it comes to formatting the output. If you've been processing JSON data and found that your values are wrapped in double quotes, you're not alone.

In this guide, we will address this specific problem and provide a straightforward solution to help you extract JSON values without the formatting issues that can arise.

The Problem at Hand

You may find yourself in a situation where you need to ingest JSON data from S3 into Redshift. Initially, you store this data in a SUPER column, which allows for flexibility in handling semi-structured data formats like JSON. However, when you attempt to extract individual attributes, you might see results that look something like this:

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

This output is not what you are looking for, as you only want the value itself:

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

While you could resort to using a simple REPLACE function to remove the double quotes, there’s a cleaner and more efficient way to extract these values directly without unwanted characters.

The Solution

To efficiently retrieve JSON attributes without surrounding double quotes, you'll want to convert the JSON data into a different data type. Here’s how you can do this:

Step 1: Understand the Data Type

When you use the expression json."myattribute", it returns the data as a SUPER type. As expected, this format preserves the JSON structure, including its double quotes.

Step 2: Convert to Varchar

Instead of working with the default SUPER type, you can cast the value to a varchar. Here's how you do it:

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

This simple conversion allows you to extract the character data without the original double quotes.

Step 3: Implementing in Your Query

When forming your SQL query to extract data from the SUPER column, it will look like this:

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

Benefits of This Approach

Clean Output: Directly retrieves values without surrounding quotes.

Simplicity: Avoids using additional string manipulation functions like REPLACE.

Efficiency: Reduces the processing needed after extraction, making your queries run faster.

Conclusion

Ingesting and processing JSON data in Amazon Redshift can definitely present some hurdles, but with the right techniques, you can simplify your workflow. By casting your JSON attributes to varchar, you can cleanly extract data without encountering issues with unwanted formatting.

Next time you find yourself working with JSON data that includes unnecessary double quotes, remember this simple solution!

If you have any further questions or need assistance with Redshift, feel free to reach out in the comments!