Connect Google Bigquery and GitLab to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Google Bigquery
Choose an Action
Automatically do this!
Find Project Merge Requests
Find All Merge Requests
Create a Commit
Create Merge Request
Create a Branch
Add a Note to Merge Request
Find Group Merge Requests
Create an Issue
Add a Note to Issue
List Issue
Ready to use Google Bigquery and GitLab automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Commit
Triggers when a commit is made on a specified project.
Merge Request Review Request
Triggers when you are requested to review a merge request.
New Job Event
Trigger for a specified job event in a project.
New Issue Comment
Triggers when a new comment is made on an issue in the selected project.
New Project Merge Request Event
Triggers on an open, merge, or close merge request event.
New Project Issue Event
Triggers on project issue event. e.g. when an issue is opened, closed or updated.
Do thisActions
Action is the task that follows automatically within your Google Bigquery integrations.
Delete Rows
Deletes rows from a BigQuery table that match the provided WHERE condition.
Run SQL query
Run a SQL query and return results.
Find Row
Find row(s) by specifying a table, a WHERE clause, an optional ORDER BY, and a LIMIT.
Insert Rows
Insert one or more rows into a BigQuery table.
Update Rows
Update specified fields in rows of a BigQuery table that match the provided WHERE condition.
Create a Table
Creates a new, empty table in the dataset.
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Frequently Asked Questions
To start, connect both your Google Bigquery and GitLab accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Bigquery triggers actions in GitLab (or vice versa).
Absolutely. You can customize how Google Bigquery data is recorded in GitLab. This includes choosing which data fields go into which fields of GitLab, setting up custom formats, and filtering out unwanted information.
The data sync between Google Bigquery and GitLab typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Google Bigquery and GitLab. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Google Bigquery
BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
Learn MoreAbout GitLab
GitLab is a comprehensive DevOps platform that provides source code management, CI/CD pipelines, and project management tools, enabling teams to collaborate efficiently on software development projects.
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