---
title: Looker
slug: /connectors/dashboard/looker
---

# Looker

| Stage      | PROD                         |
|------------|------------------------------|
| Dashboards | {% icon iconName="check" /%} |
| Charts     | {% icon iconName="check" /%} |
| Owners     | {% icon iconName="check" /%} |
| Tags       | {% icon iconName="cross" /%} |
| Datamodels | {% icon iconName="check" /%} |
| Lineage    | {% icon iconName="check" /%} |

In this section, we provide guides and references to use the Looker connector.

Configure and schedule Looker metadata and profiler workflows from the OpenMetadata UI:

- [Requirements](#requirements)
- [Metadata Ingestion](#metadata-ingestion)

{% partial file="/v1.2/connectors/ingestion-modes-tiles.md" variables={yamlPath: "/connectors/dashboard/looker/yaml"} /%}

## Requirements

There are two types of metadata we ingest from Looker:
- Dashboards & Charts
- LookML Models

For the `project` metadata being ingested:
- We get the actual LookML Project an Explore or View is developed in.
- For Dashboards, we use the folder name from the UI, since there is no other hierarchy involved there.

In terms of permissions, we need a user with access to the Dashboards and LookML Explores that we want to ingest. You can
create your API credentials following these [docs](https://cloud.google.com/looker/docs/api-auth).

However, LookML Views are not present in the Looker SDK. Instead, we need to extract that information directly from
the GitHub repository holding the source `.lkml` files. In order to get this metadata, we will require a GitHub token
with read only access to the repository. You can follow these steps from the GitHub [documentation](https://docs.github.com/en/enterprise-server@3.4/authentication/keeping-your-account-and-data-secure/creating-a-personal-access-token).

{% note %}

The GitHub credentials are completely optional. Just note that without them, we won't be able to ingest metadata
out of LookML Views, including their lineage to the source databases.

{% /note %}

## Metadata Ingestion

{% partial 
  file="/v1.2/connectors/metadata-ingestion-ui.md" 
  variables={
    connector: "Looker", 
    selectServicePath: "/images/v1.2/connectors/looker/select-service.png",
    addNewServicePath: "/images/v1.2/connectors/looker/add-new-service.png",
    serviceConnectionPath: "/images/v1.2/connectors/looker/service-connection.png",
} 
/%}

{% stepsContainer %}
{% extraContent parentTagName="stepsContainer" %}

#### Connection Details

- **Host and Port**: URL to the Looker instance, e.g., `https://my-company.region.looker.com`.
- **Client ID**: User's Client ID to authenticate to the SDK. This user should have privileges to read all the metadata in Looker.
- **Client Secret**: User's Client Secret for the same ID provided.

Then, if we choose to inform the GitHub credentials to ingest LookML Views:

- **Repository Owner**: The owner (user or organization) of a GitHub repository. For example, in https://github.com/open-metadata/OpenMetadata, the owner is `open-metadata`.
- **Repository Name**: The name of a GitHub repository. For example, in https://github.com/open-metadata/OpenMetadata, the name is `OpenMetadata`.
- **API Token**: Token to use the API. This is required for private repositories and to ensure we don't hit API limits.

Follow these [steps](https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/creating-a-personal-access-token#creating-a-fine-grained-personal-access-token) in order to create a fine-grained personal access token.

When configuring, give repository access to `Only select repositories` and choose the one containing your LookML files. Then, we only need `Repository Permissions` as `Read-only` for `Contents`.

{% /extraContent %}

{% partial file="/v1.2/connectors/test-connection.md" /%}

{% partial file="/v1.2/connectors/dashboard/configure-ingestion.md" /%}

{% partial file="/v1.2/connectors/ingestion-schedule-and-deploy.md" /%}

{% /stepsContainer %}

{% partial file="/v1.2/connectors/troubleshooting.md" /%}