Parsing nested json in snowflake. Note the color-coding at each level of nesting, and how those attribute names are used in the query both for flattening and producing a final output. You can then analyze or manipulate the data. This function can convert data from JSON format to ARRAY or OBJECT data and store that data directly in a VARIANT value. (Download json_sample_data2. I tried a few variations but every time, the attribute is populating as null. May 10, 2024 · By utilizing Snowflake’s semi-structured data functions and SQL capabilities, you can effectively read and query nested JSON data, enabling you to gain valuable insights from complex data Jan 10, 2025 · You can use the (LATERAL) FLATTEN function to extract a nested variant, object, or array from JSON data. json) Apr 25, 2025 · In this post, I share five different approaches to parsing JSON data in Snowflake that I found useful, using e-commerce data of varying complexity as examples: Basic path extraction for simple, consistent JSON structures Jul 4, 2023 · To make the process a little easier, here is a sample JSON blob and SQL query to retrieve some data from nested JSON. Jan 24, 2023 · I am pretty new to Snowflake and I am now trying to parse a JSON field and pull its attributes to return in the response. By default, the function doesn’t allow duplicate keys in the JSON object, but you can set the 'parameter' argument to allow duplicate keys. Dec 17, 2018 · In this post, we’ll take an example dataset and explore 3 use cases for JSON manipulation in Snowflake: For the examples below, we’ll assume the following data, which comes straight from the Snowflake support documentation. For example, let's create a table VNT containing a single JSON field:. yscpwd owse adkk oyvwbr hqia hhk eltk rroxz jnsmaq lltt