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Bigquery json extract example11/15/2023 ![]() Here is a cool open-source Python script which uses the Looker API to automatically detect JSON fields in the underlying database table and generates LookML for them (this is specific to Snowflake connections and may require adjusting to fit your use case). NOTE: in BigQuery a JSON path must start with a $ followed by the index position and the string to parse, like: JSON_EXTRACT($.temperature_alerts, '$.description') tests/system/providers/google/cloud/bigquery/examplebigquerytables.py. There are a few Community articles where we have examples of doing this. The object in Google Cloud Storage must be a JSON file with the schema fields in it. Please see screenshot of my testing below using the correct syntax for JSONVALUE. I am aware of BigQuery json-functions such as JSONEXTRACT as posted for example here. In this lab you will work in-depth with semi-structured data (ingesting JSON, Array data types) inside of BigQuery. You may refer to this JSON function Documentation for more details. JSON format which I would like to extract into a STRUCT. ![]() Create a new table in BigQuery, and specify the schema of the table, including the JSON. SELECT recordtype, email, JSONVALUE (groups,'.groupemail') AS groupemail FROM. You'll want to use JSON parsing functions in SQL, like json_extract_path in Postgres and JSON_EXTRACT in BigQuery to extract the JSON and put it into a type that Looker can accept, like a string. To load JSON in BigQuery as a JSON data type, follow these steps: 1. ![]() JSONVALUEARRAY : extracts an array of scalar values. Looker doesn't have a native JSON field type. Extract arrays from JSON JSONQUERYARRAY : extracts an array and returns it as an ARRAY of JSON.
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