BigQuery
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BigQuery

The BigQuery modules enable you to monitor tables and completed query jobs, and create, retrieve, update, or delete datasets and tables in your BigQuery account.

Getting Started with BigQuery

Prerequisites

  • A Google account

  • A Google Cloud Platform project created

In order to use BigQuery with Axelor Connect, it is necessary to have a Google account. If you do not have one, you can create a Google account at google.com.

For the list of available endpoints, refer to the BigQuery API Documentation.

Connect BigQuery to Axelor Connect
  1. Log in to your Axelor Connect, add any BigQuery module scenario, and click the Add button next to the Connection field.

    bigquery-1.png
  2. Optional: In the Connection name field, enter a name for the connection.

  3. Click Save.

  4. If prompted, log in to your Google account and confirm the access by clicking Allow.

You have successfully connected the app, and can now build scenarios.

Build BigQuery Scenarios

After connecting the app, you can perform the following actions:

  • List Datasets

    Lists all datasets in the specified project to which the user has been granted the READER dataset role.

  • Get a Dataset

  • Create a Dataset

  • Update a Dataset

  • Delete a Dataset

  • Watch Tables

  • List Tables

  • Get a Table

  • Create a Table

  • Update a Table

  • Delete a Table

  • Watch Rows

  • List Table Data

  • Upload Data (Streaming)

  • Upload a File

  • Watch Query Jobs Completed

  • List Jobs

  • Write Query Jobs Completed

  • List Jobs

  • Write Query

    Runs a BigQuery SQL query synchronously and returns query results if the query results if a query completes within a specified timeout.

  • Axelor Connect an API Call

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  • BigQuery
    • Getting Started with BigQuery
    • Connect BigQuery to Axelor Connect
    • Build BigQuery Scenarios

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