![]() ![]() Each course will earn you a downloadable course certificate. Our premium courses offer a superior user experience with small, easy-to-digest lessons, progress tracking, quizzes to test your knowledge, and practice sessions. You’re now ready to start experimenting! If you want to learn more, try these links: Note that we’re now using double quotes because we need to quote the name inside the filter expression. You can do so with a filter: > arch("persons.age", persons) ![]() Suppose you want to filter the list, and only get the ages for people named ‘erik’. bq command-line tool The third approach is to use subprocess to run the bq command-line tool. ![]() If you are running it locally and authenticated, you don’t need to define the credentials, and client bigquery.Client () will just work. This JMESPath expression will get the job done: > import jmespath The second approach is to use the official Python Client for BigQuery. Convert from Python to JSON: import json a. In the problem statement above, we wanted to extract all the age fields from the array of persons in the JSON document. If you have a Python object, you can convert it into a JSON string by using the json.dumps() method. We’ll fetch the first person from the array, and then get the first person’s age: > arch('persons', persons) For example: doc will get you the nested value for age in a document that looks like this: As we’ve seen on the previous page, it’s easy to get a nested value from a Python dictionary using Python’s own JSON library. ![]()
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