Bigquery json extract example10/12/2023 ![]() To retrieve the product name, issue the following request in the formula bar: Text(.product.productName) In the following example, a table contains the Order column of type JSON, and has holds product details for each order. Where Column name The name of the primary object fieldName The name of one of the fields of the primary object subFieldName The name of one of the fields of a secondary field, and so on (dot) notation in the formula bar to extract the relevant value of the field (or subfield) from column that contains JSON data type values. Name] is invalid even if is a column with the same data type as the key entry in the JSON object. ![]() To use the notation, supply constant values for JSON key references. You can add JSON column extraction directly into Sigma formulas, by using field name and list item notation. Use the new columns in your explorations and analysis.Sigma extracts the selected fields and makes new columns. In the modal, select the fields you want to pull out into their own columns.Use the column's menu to select Extract columns.This example uses the Cust Json column of the PLUGS sample data. To extract JSON data from a column and put it in separate columns: A workbook table containing a column of semi-structured data.You must own the workbook or be granted Can Explore or Can Edit permissions on the workbook.Your account type must be a Creator or Admin.If your data is semi-structured and Sigma does not provide the option, you can use the type functions Json or Variant to change how Sigma interprets the column data. When Sigma detects a JSON or Variant column type, it provides an Extract Columns option in the column menu. Sigma can extract fully structured and semi-structured data from a workbook's table column that contains JSON. The JSON data type stores inherently hierarchical data.
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