Extract columns from JSON or variant data (2024)

FAQs

Extract columns from JSON or variant data? ›

You extract a column from fields containing JSON strings using the syntax <column-name>:<extraction-path> , where <column-name> is the string column name and <extraction-path> is the path to the field to extract. The returned results are strings.

Alternatively, you can employ a command-line tool or script such as jq to quickly and easily filter, query, or transform JSON data. Additionally, you can use a graphical user interface (GUI) tool or application like Postman to visually explore, edit, and extract data from JSON files.

VARIANT data is typically used when: You want to create hierarchical data by explicitly defining a hierarchy that contains two or more ARRAYs or OBJECTs. You want to load JSON, Avro, ORC, or Parquet data directly, without explicitly describing the hierarchical structure of the data.

Example - Parsing JSON

Use the JavaScript function JSON.parse() to convert text into a JavaScript object: const obj = JSON.parse('{"name":"John", "age":30, "city":"New York"}'); Make sure the text is in JSON format, or else you will get a syntax error.

Testsigma's free online Extract Text from JSON tool can extract text from an JSON document. It removes all special characters, leaving only textual content between tags. This is a good tool for extracting simple details from an JSON document.

How do you convert JSON to the Snowflake variant data type? ›

The PARSE_JSON function converts text containing JSON data into a more flexible Snowflake data type called VARIANT. This is useful when you have input data in JSON format (a common web data format) and you want to analyze or manipulate it in your database.

With numeric data it will treat the variable as numeric. So, in your situation, if you want to do arithmatic with the numeric data, then you need to use the variant data type. If you want to treat the numeric data just like you do the alpha data, then use a string data type.

For example, if you want to extract all the values of a specific key in a JSON column, you can use the following syntax: SELECT JSON_EXTRACT(your_json_column, '$. key') AS key_value FROM your_table; In this example, “$.

To query a nested JSON object in MySQL, you can use the JSON_EXTRACT() function to extract the value of the nested key and then use comparison operators to filter the results.

The JSON object is accessible by calling the JSON field through the relevant content object — in this example, $URLMapContent. jsonField would be applicable. If called directly, this will return the JSON data in its entirety; to access a data member individually, call the relevant key as an object property.