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Learning Google BigQuery

You're reading from   Learning Google BigQuery A beginner's guide to mining massive datasets through interactive analysis

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781787288591
Length 264 pages
Edition 1st Edition
Languages
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Authors (3):
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Eric Brown Eric Brown
Author Profile Icon Eric Brown
Eric Brown
Thirukkumaran Haridass Thirukkumaran Haridass
Author Profile Icon Thirukkumaran Haridass
Thirukkumaran Haridass
Mikhail Berlyant Mikhail Berlyant
Author Profile Icon Mikhail Berlyant
Mikhail Berlyant
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Table of Contents (9) Chapters Close

Preface 1. Google Cloud and Google BigQuery FREE CHAPTER 2. Google Cloud SDK 3. Google BigQuery Data Types 4. BigQuery SQL Basic 5. BigQuery SQL Advanced 6. Google BigQuery API 7. Visualizing BigQuery Data 8. Google Cloud Pub/Sub

Querying nested and repeated records

Google BigQuery supports loading of JSON files into BigQuery tables. JSON format data can contain nested datatypes and repeated datatypes. The example table shown in the following screenshot has an Employee_Names column as RECORD datatype. Each record in that column has two columns, one to store the first name and one to store the last name. Create the table as shown in this screenshot:

Download the following file to load to this new table. The file is a JSON file that contains the records to be loaded into this table from JSON format: https://github.com/hthirukkumaran/Learning-Google-BigQuery/blob/master/chapter1/employeedetails.json.

Upload the file to your Google Cloud Storage bucket using the gsutil command as shown here:

gsutil cp employeedetails.json gs://myfirstprojectbucket201706/employeedetails.json

Run the following command...

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