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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 2. Google Cloud SDK FREE CHAPTER 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

Importing message data into BigQuery

To import messages into BigQuery in batch mode, you can use the gcloud utility to log all the messages retrieved from the Cloud Pub/Sub to a file. Then you can upload the file to Google Cloud Storage and import data from the file to the BigQuery table. The following section provides a walkthrough of this scenario. This section uses the same Pub/Sub topic used in the previous section and uses the same Pub/Sub subscriber for pulling messages. Publish some sample messages to the Pub/Sub topic before running the commands given in this section.

Schedule a job to call the following command at specified intervals to retrieve the message from Cloud Pub/Sub, and append it to a local file. Replace the subscriber, message attributes, and target filename as per your project. The following command writes the messages to the messages.csv file:

gcloud...
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