Linear and PostgreSQL Integration

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Sync Linear issue data to PostgreSQL for custom reporting and analytics. Latenode's visual editor simplifies complex data transformations, while affordable execution-based pricing makes scaling insights easier than ever.

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Linear

PostgreSQL

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Linear and PostgreSQL

Create a New Scenario to Connect Linear and PostgreSQL

In the workspace, click the “Create New Scenario” button.

Add the First Step

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Linear, triggered by another scenario, or executed manually (for testing purposes). In most cases, Linear or PostgreSQL will be your first step. To do this, click "Choose an app," find Linear or PostgreSQL, and select the appropriate trigger to start the scenario.

Add the Linear Node

Select the Linear node from the app selection panel on the right.

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Linear

Configure the Linear

Click on the Linear node to configure it. You can modify the Linear URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Linear

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Run node once

Add the PostgreSQL Node

Next, click the plus (+) icon on the Linear node, select PostgreSQL from the list of available apps, and choose the action you need from the list of nodes within PostgreSQL.

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PostgreSQL

Authenticate PostgreSQL

Now, click the PostgreSQL node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your PostgreSQL settings. Authentication allows you to use PostgreSQL through Latenode.

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Linear

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PostgreSQL

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Sign In

Run node once

Configure the Linear and PostgreSQL Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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The action ID

Run node once

Set Up the Linear and PostgreSQL Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that don’t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
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Save and Activate the Scenario

After configuring Linear, PostgreSQL, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.

Test the Scenario

Run the scenario by clicking “Run once” and triggering an event to check if the Linear and PostgreSQL integration works as expected. Depending on your setup, data should flow between Linear and PostgreSQL (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Linear and PostgreSQL

Linear + PostgreSQL + Slack: When a Linear issue is updated, the PostgreSQL database is updated with the new information, and a Slack message is sent to the relevant team channel to notify them of the change.

Linear + PostgreSQL + Google Sheets: Track Linear issue resolution times by inserting issue data into PostgreSQL when an issue is updated. Then, use PostgreSQL data to periodically update a Google Sheet with summary reports of issue resolution times.

Linear and PostgreSQL integration alternatives

About Linear

Connect Linear to Latenode for automated issue tracking. Streamline bug reporting from various sources. Automatically create Linear issues from form submissions or customer support tickets. Update issue statuses based on events in other systems like Git or CI/CD pipelines, all within a scalable, low-code workflow.

About PostgreSQL

Use PostgreSQL in Latenode to automate database tasks. Build flows that react to database changes or use stored data to trigger actions in other apps. Automate reporting, data backups, or sync data across systems without code. Scale complex data workflows easily within Latenode's visual editor.

See how Latenode works

FAQ Linear and PostgreSQL

How can I connect my Linear account to PostgreSQL using Latenode?

To connect your Linear account to PostgreSQL on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Linear and click on "Connect".
  • Authenticate your Linear and PostgreSQL accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I sync Linear issue data to PostgreSQL?

Yes, with Latenode you can automatically sync Linear issue data to PostgreSQL for backups, custom reporting, or integration with other databases. Leverage our visual editor and JavaScript blocks for ultimate control.

What types of tasks can I perform by integrating Linear with PostgreSQL?

Integrating Linear with PostgreSQL allows you to perform various tasks, including:

  • Automatically backing up Linear issues and comments to PostgreSQL.
  • Creating custom reports on Linear data using SQL queries.
  • Triggering Linear actions based on PostgreSQL database changes.
  • Populating a data warehouse with Linear issue tracking data.
  • Synchronizing Linear data with other systems using PostgreSQL as a hub.

Can I use JavaScript to transform Linear data before it reaches PostgreSQL?

Yes, Latenode allows you to use JavaScript code blocks to transform data between Linear and PostgreSQL, providing maximum flexibility in data handling.

Are there any limitations to the Linear and PostgreSQL integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Large data migrations from Linear to PostgreSQL may require careful optimization.
  • Complex data transformations may require advanced JavaScript knowledge.
  • Real-time synchronization depends on the rate limits of the Linear API.

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