yujunjun/datahub
2
0
Fork 0
mirror of https://github.com/datahub-project/datahub.git synced 2025-10-31 02:37:05 +00:00
Code Issues Packages Projects Releases Wiki Activity
datahub/docs/quick-ingestion-guides/redshift/configuration.md

5.4 KiB
Raw Blame History

title
Configuration

Configuring Your Redshift Connector to DataHub

Now that you have created a DataHub user in Redshift in the prior step, it's time to set up a connection via the DataHub UI.

Configure Secrets

  1. Within DataHub, navigate to the Ingestion tab in the top, right corner of your screen

Navigate to the "Ingestion Tab"

:::note If you do not see the Ingestion tab, please contact your DataHub admin to grant you the correct permissions :::

  1. Navigate to the Secrets tab and click Create new secret

Secrets Tab

  1. Create a Redshift User's Password secret

This will securely store your Redshift User's password within DataHub

  • Click Create new secret again
  • Enter a name like REDSHIFT_PASSWORD - we will use this later to refer to the secret
  • Enter your datahub redshift user's password
  • Optionally add a description
  • Click Create

Redshift Password Secret

Configure Recipe

  1. Navigate to the Sources tab and click Create new source

Click "Create new source"

  1. Select Redshift

Select BigQuery from the options

  1. Fill out the Redshift Recipe

Populate the Password field by selecting Redshift Password secrets you created in steps 3 and 4.

Fill out the Redshift Recipe

Schedule Execution

Now it's time to schedule a recurring ingestion pipeline to regularly extract metadata from your Redshift instance.

  1. Decide how regularly you want this ingestion to run-- day, month, year, hour, minute, etc. Select from the dropdown

schedule selector

  1. Ensure you've configured your correct timezone

timezone_selector

  1. Click Next when you are done

Finish Up

  1. Name your ingestion source, then click Save and Run

Name your ingestion

You will now find your new ingestion source running

ingestion_running

Validate Ingestion Runs

  1. View the latest status of ingestion runs on the Ingestion page

ingestion succeeded

  1. Click the plus sign to expand the full list of historical runs and outcomes; click Details to see the outcomes of a specific run

ingestion_details

  1. From the Ingestion Run Details page, pick View All to see which entities were ingested

ingestion_details_view_all

  1. Pick an entity from the list to manually validate if it contains the detail you expected

ingestion_details_view_all

Congratulations! You've successfully set up Redshift as an ingestion source for DataHub!