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How to Convert JSON to Array of Strings in SQL

Discover effective techniques to `convert JSON data into a properly formatted array of strings` using SQL. Follow our detailed guide for easy implementation. --- This video is based on the question https://stackoverflow.com/q/70511213/ asked by the user 'Mindstormer' ( https://stackoverflow.com/u/4522055/ ) and on the answer https://stackoverflow.com/a/70511399/ provided by the user 'John Cappelletti' ( https://stackoverflow.com/u/1570000/ ) 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 convert JSON to array of strings Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l... 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. If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com. --- How to Convert JSON to Array of Strings in SQL In today's data-driven environment, being able to manipulate and present data efficiently is a valuable skill. One common task is converting data formatted as JSON into a more usable structure, such as an array of strings. This guide will guide you through the process of converting a simple SQL table column into a JSON-formatted array, step by step. Understanding the Problem Imagine you have a SQL table with a column named Col1 that contains string values: [[See Video to Reveal this Text or Code Snippet]] Your goal is to format this data into JSON like this: [[See Video to Reveal this Text or Code Snippet]] However, if you simply use the FOR JSON PATH method, you might get an incorrect format like this instead: [[See Video to Reveal this Text or Code Snippet]] This happens because the default behavior of FOR JSON PATH doesn't create a proper array format. Let’s explore how to achieve the desired json array formatting using SQL. The Solution Using String Aggregation If you are using SQL Server 2017 or later, the easiest way to convert your column to a JSON array is by using the STRING_AGG() function. Here’s the SQL code you would use: [[See Video to Reveal this Text or Code Snippet]] Breakdown of the Code STRING_AGG(): This function aggregates the values in Col1 into a single string, separated by commas and formatted with quotes. STRING_ESCAPE(): This function ensures that any special characters in the string are escaped appropriately, preserving your JSON format integrity. JSON_QUERY(): Wrapping the aggregated string in JSON_QUERY() converts it to a valid JSON array format. Expected Results Running the above SQL code will give you the following output: [[See Video to Reveal this Text or Code Snippet]] Alternative Approach for Older SQL Versions If your SQL Server version is older than 2017, you won’t have access to the STRING_AGG() function. Instead, you can utilize the STUFF() function in combination with FOR XML PATH. Here’s how you can do it: [[See Video to Reveal this Text or Code Snippet]] Explanation of the Alternative Code STUFF(): This function is used to manipulate strings, in this case, removing the initial unwanted characters from the concatenated strings. FOR XML PATH: Used in this method to concatenate values from Col1 into one string while retaining the proper escape sequences. Conclusion Transforming SQL data into JSON format is a common yet essential skill in data manipulation. By using STRING_AGG() for newer versions of SQL Server or falling back to STUFF() with FOR XML in older versions, you can effectively convert a SQL column into a well-structured JSON array. This not only helps in presentation but also enhances data usability in applications that consume JSON outputs. Now you have the tools to efficiently convert JSON to an array of strings and ensure your data is formatted to meet your needs. Happy coding!