OpenMetadata/openmetadata-docs/content/v1.9.x-SNAPSHOT/connectors/storage/gcs/yaml.md

title	slug
Run the GCS Connector Externally	/connectors/storage/gcs/yaml

{% connectorDetailsHeader name="GCS" stage="PROD" platform="Collate" availableFeatures=["Metadata"] unavailableFeatures=[] / %}

This page contains the setup guide and reference information for the GCS connector.

Configure and schedule GCS metadata workflows from the CLI:

• Requirements
• Metadata Ingestion

{% partial file="/v1.9/connectors/external-ingestion-deployment.md" /%}

Requirements

To run the GCS ingestion, you will need to install:

pip3 install "openmetadata-ingestion[datalake-gcs]"

{%inlineCallout icon="description" bold="OpenMetadata 1.0 or later" href="/deployment"%} To deploy OpenMetadata, check the Deployment guides. {%/inlineCallout%}

We need the following permissions in GCP:

GCS Permissions

For all the buckets that we want to ingest, we need to provide the following:

• storage.buckets.get
• storage.buckets.list
• storage.objects.get
• storage.objects.list

OpenMetadata Manifest

In any other connector, extracting metadata happens automatically. In this case, we will be able to extract high-level metadata from buckets, but in order to understand their internal structure we need users to provide an openmetadata.json file at the bucket root.

Supported File Formats: [ "csv", "tsv", "avro", "parquet", "json", "json.gz", "json.zip" ]

You can learn more about this here. Keep reading for an example on the shape of the manifest file.

{% partial file="/v1.9/connectors/storage/manifest.md" /%}

Metadata Ingestion

All connectors are defined as JSON Schemas. Here you can find the structure to create a connection to Athena.

In order to create and run a Metadata Ingestion workflow, we will follow the steps to create a YAML configuration able to connect to the source, process the Entities if needed, and reach the OpenMetadata server.

The workflow is modeled around the following JSON Schema

1. Define the YAML Config

This is a sample config for Athena:

{% codePreview %}

{% codeInfoContainer %}

Source Configuration - Service Connection

{% codeInfo srNumber=2 %}

gcpConfig:

1. Passing the raw credential values provided by GCP. This requires us to provide the following information, all provided by GCP:

{% /codeInfo %}

{% partial file="/v1.9/connectors/yaml/common/gcp-config-def.md" /%}

{% codeInfo srNumber=4 %}

2. Passing a local file path that contains the credentials:

• gcpCredentialsPath

• If you prefer to pass the credentials file, you can do so as follows:

source:
  type: gcs
  serviceName: local_gcs
  serviceConnection:
    config:
      type: GCS
      credentials:
        gcpConfig: 
        path: <path to file>

• If you want to use ADC authentication for GCP you can just leave the GCP credentials empty. This is why they are not marked as required.

...
source:
  type: gcs
  serviceName: local_gcs
  serviceConnection:
    config:
      type: GCS
    credentials:
      gcpConfig: {}
...

{% /codeInfo %}

{% partial file="/v1.9/connectors/yaml/storage/source-config-def.md" /%}

{% partial file="/v1.9/connectors/yaml/ingestion-sink-def.md" /%}

{% partial file="/v1.9/connectors/yaml/workflow-config-def.md" /%}

Advanced Configuration

{% codeInfo srNumber=2 %}

Connection Options (Optional): Enter the details for any additional connection options that can be sent to storage service during the connection. These details must be added as Key-Value pairs.

{% /codeInfo %}

{% codeInfo srNumber=3 %}

Connection Arguments (Optional): Enter the details for any additional connection arguments such as security or protocol configs that can be sent to storage service during the connection. These details must be added as Key-Value pairs.

{% /codeInfo %}

{% /codeInfoContainer %}

{% codeBlock fileName="filename.yaml" %}

source:
  type: gcs
  serviceName: "<service name>"
  serviceConnection:
    config:
      type: GCS

      credentials:
        gcpConfig:

{% partial file="/v1.9/connectors/yaml/common/gcp-config.md" /%}

      # taxonomyLocation: us
      # taxonomyProjectID: ["project-id-1", "project-id-2"]
      # usageLocation: us

      # connectionOptions:
      #   key: value

      # connectionArguments:
      #   key: value

{% partial file="/v1.9/connectors/yaml/storage/source-config.md" /%}

{% partial file="/v1.9/connectors/yaml/ingestion-sink.md" /%}

{% partial file="/v1.9/connectors/yaml/workflow-config.md" /%}

{% /codeBlock %}

{% /codePreview %}