I understand I could use JSON_EXTRACT function but I am not sure what would be my key inside the inverted index to access the keywords and the arrays corresponding to them. | ObjectID | keyword.key | unt | keyword.positions | With Google BigQuery, businesses can run super-fast SQL queries on terabytes of data in seconds, without requiring any hardware or infrastructure.

Now I want to access the stringified json by parsing the json using bigquery and for each ObjectID I want to create a nested field where I have the keyword, the corresponding array and the length of the corresponding array.įor example in this case the output would look like the following: +-+-+-+-+ Converting the data to Google BigQuery JSON (Javascript Object Notation) format and exporting it is one popular option. Each JSON object must be on a separate line in the file.

Setup the Google Cloud API trigger to run a. When you load JSON files into BigQuery, note the following: JSON data must be newline delimited. Where inside the indexed_abstract we have an InvertedIndex which contains some keywords and how many times these keywords appeared in the ObjectID. Convert JavaScript Object to JSON String with Helper Functions API on BigQuery - New Row from Google Cloud API. In json, an example row look like below: ' BigQuery was announced in May 2010 and made generally available in November 2011.

In a column of type 'STRING': The JSON value is treated just like a normal string that happens to have JSON format. It also has built-in machine learning capabilities. In BigQuery, JSON data may be stored in two ways: In a column of type 'RECORD': This data type is specifically designed to store nested structure data (JSON) in BigQuery. It is a Platform as a Service that supports querying using ANSI SQL. I have a table in bigquery where I have object and for each object I have some stringified json. BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data.

Bigquery string to json