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Working with BigQuery in Google Cloud Shell

Cloud BigQuery boasts extremely fast processing—terabytes of information in seconds, petabytes in minutes—while remaining straightforward to query via standard SQL. Best of all, BigQuery is accessible through a number of methods, including web console and API. In this hands-on lab, you’ll use another pathway (Google Cloud Shell) to perform a series of BigQuery operations, including creating a dataset, defining a table and its schema, importing data into that table and, finally, running a series of SQL queries on the BigQuery platform.

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Path Info

Level
Clock icon Beginner
Duration
Clock icon 30m
Published
Clock icon Oct 04, 2019

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Table of Contents

  1. Challenge

    Activate Cloud Shell

    1. Click the Activate Cloud Shell icon at the top of the console page.

  2. Challenge

    Retrieve the Data Files

    1. In the Cloud Shell, run the following command: gsutil cp gs://acg-gcp-labs-resources/essentials/MetObjects_BQ_Lab.csv .

  3. Challenge

    Create a BigQuery Dataset

    1. Create a BigQuery dataset with the following command: bq mk metobjects
    2. List the current datasets with the following command: bq ls

  4. Challenge

    Load the Data

    1. Import the data into the dataset with the following command: bq load --source_format=CSV --skip_leading_rows=1 metobjects.linkedObjects MetObjects_BQ_Lab.csv title:STRING,artist:STRING,year:INTEGER,link:STRING
    2. View the dataset with the following commands: bq ls metobjects bq show metobjects.linkedObjects

  5. Challenge

    Query the Dataset

    1. Execute a SQL query with the following command:
    bq query "SELECT year,title,artist FROM metobjects.linkedObjects WHERE year > 2000 ORDER BY year DESC LIMIT 15"
    1. Execute a second SQL query:
    bq query "SELECT title,link FROM metobjects.linkedObjects WHERE year > 2000 ORDER BY year DESC LIMIT 15"
    1. Test the available links.
A Cloud Guru - Labs - Working with BigQuery in Google Cloud Shell
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A Cloud Guru

The Cloud Content team comprises subject matter experts hyper focused on services offered by the leading cloud vendors (AWS, GCP, and Azure), as well as cloud-related technologies such as Linux and DevOps. The team is thrilled to share their knowledge to help you build modern tech solutions from the ground up, secure and optimize your environments, and so much more!

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