Redshift json array9/1/2023 Once we’ve done that, we can use brackets ( ) to retrieve and extract our JSON data. To work with the SUPER type, we first have to use the (at time of writing) undocumented JSON_PARSE() function to convert our JSON string into the SUPER type. This brings it inline with Snowflake and Bigquery in terms of ease of use. The JSONARRAYLENGTH function returns the number of elements in the outer array of a JSON string. For more information, see JSON functions. If the nullifinvalid argument is set to true and the JSON string is invalid, the function returns NULL instead of returning an error. We will write a BigQuery script to identify the employee-manager. In April 2021, Redshift announced the SUPER type, and with it better JSON support. The JSONARRAYLENGTH function returns the number of elements in the outer array of a JSON string. Similar to RECORD type, stringified JSON can be a single JSON object, or a JSON array. This code is hard to write, read, and maintain! Luckily, there is now a better way. SELECT user_id, JSON_EXTRACT_PATH_TEXT( JSON_EXTRACT_ARRAY_ELEMENT_TEXT( recommendations, 0), 'language_id') AS rec_1_id, JSON_EXTRACT_PATH_TEXT( JSON_EXTRACT_ARRAY_ELEMENT_TEXT( recommendations, 0), 'language_name') AS rec_1_name, JSON_EXTRACT_PATH_TEXT( JSON_EXTRACT_ARRAY_ELEMENT_TEXT( recommendations, 1), 'language_id') AS rec_2_id, JSON_EXTRACT_PATH_TEXT( JSON_EXTRACT_ARRAY_ELEMENT_TEXT( recommendations, 1), 'language_name') AS rec_2_name FROM recommendations user_id
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