Connect Gitlab to BigQuery
Send Gitlab issues, projects, users and 20 more data types to BigQuery on a schedule. Filter by date. Refresh as often as every 15 minutes.
BigQuery
dataset gitlab
issuesprojectsusersgroupsgroup_milestones- 18 more data types
How to connect Gitlab and BigQuery
5 steps. You can preview the Gitlab data in Coupler.io before anything reaches BigQuery.
Step 1 of 5
Connect Gitlab
Enter your Gitlab access token and API URL. You only do this once per account.
Step 2 of 5
Choose what to export
Pick the Gitlab data you want in BigQuery.
Show 15 more data types Show fewer data types
Step 3 of 5
Fine-tune the export
Optional settings for this Gitlab export.
Step 4 of 5
Connect BigQuery
Upload the JSON key file from your Google Cloud service account, then enter the dataset and table for the Gitlab data.
Step 5 of 5
Choose a write mode and schedule
Every run either replaces or appends the data in BigQuery. Run it as often as every 15 minutes.
Each run overwrites issues with fresh Gitlab data.
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23 data types, including Issues, Projects, Users, Groups and Group milestones.
With your Gitlab access token and API URL, entered once when you add the connection.
Yes. Set the start date to cover the period you need.
Yes. If the table doesn't exist in the dataset you choose, Coupler.io creates it on the first run and fills it with Gitlab data.
Refresh the source field list in Coupler.io and select the new column. If you define the BigQuery table schema manually, add the column there too.
On a schedule you choose, from monthly down to every 15 minutes, depending on your Coupler.io plan.
Yes. Add more sources to the same data flow, for example ClickUp or Airtable, and join or append them before the data reaches BigQuery.
