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doc(redshift) - Adding Redshift ingestion quickstart guide #7700
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--- | ||
title: Configuration | ||
--- | ||
# Configuring Your Redshift Connector to DataHub | ||
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Now that you have created a DataHub user in Redshift in [the prior step](setup.md), it's time to set up a connection via the DataHub UI. | ||
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## Configure Secrets | ||
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1. Within DataHub, navigate to the **Ingestion** tab in the top, right corner of your screen | ||
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<p align="center"> | ||
<img width="75%" alt="Navigate to the "Ingestion Tab"" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/redshift/redshift_ingestion_ingestion_button.png"/> | ||
</p> | ||
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:::note | ||
If you do not see the Ingestion tab, please contact your DataHub admin to grant you the correct permissions | ||
::: | ||
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2. Navigate to the **Secrets** tab and click **Create new secret** | ||
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<p align="center"> | ||
<img width="75%" alt="Secrets Tab" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/redshift/redshift_ingestion_secrets_tab.png"/> | ||
</p> | ||
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3. Create a Redshift User's Password secret | ||
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This will securely store your Redshift User's password within DataHub | ||
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* 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** | ||
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<p align="center"> | ||
<img width="75%" alt="Redshift Password Secret" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/redshift/redshift_ingestion_password_secret.png"/> | ||
</p> | ||
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## Configure Recipe | ||
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4. Navigate to the **Sources** tab and click **Create new source** | ||
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<p align="center"> | ||
<img width="75%" alt="Click "Create new source"" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/redshift/redshift_ingestion_click_create_new_source_button.png"/> | ||
</p> | ||
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5. Select Redshift | ||
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<p align="center"> | ||
<img width="75%" alt="Select BigQuery from the options" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/redshift/redshift_ingestion_redshift_button.png"/> | ||
</p> | ||
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6. Fill out the Redshift Recipe | ||
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Populate the Password field by selecting Redshift Password secrets you created in steps 3 and 4. | ||
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<p align="center"> | ||
<img width="75%" alt="Fill out the Redshift Recipe" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/redshift/redshift-ingestion-recipe.png"/> | ||
</p> | ||
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<!--- | ||
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7. Click **Test Connection** | ||
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This step will ensure you have configured your credentials accurately and confirm you have the required permissions to extract all relevant metadata. | ||
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<p align="center"> | ||
<img width="75%" alt="Test BigQuery connection" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/bigquery/bigquery-test-connection.png"/> | ||
</p> | ||
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After you have successfully tested your connection, click **Next**. | ||
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--> | ||
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## Schedule Execution | ||
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Now it's time to schedule a recurring ingestion pipeline to regularly extract metadata from your Redshift instance. | ||
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7. Decide how regularly you want this ingestion to run-- day, month, year, hour, minute, etc. Select from the dropdown | ||
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<p align="center"> | ||
<img width="75%" alt="schedule selector" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/redshift/redshift_ingestion_scheduled_execution.png"/> | ||
</p> | ||
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8. Ensure you've configured your correct timezone | ||
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<p align="center"> | ||
<img width="75%" alt="timezone_selector" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/redshift/redshift_ingestion_timezone_selector.png"/> | ||
</p> | ||
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9. Click **Next** when you are done | ||
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## Finish Up | ||
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10. Name your ingestion source, then click **Save and Run** | ||
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<p align="center"> | ||
<img width="75%" alt="Name your ingestion" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/redshift/redshift_ingestion_name_ingestion.png"/> | ||
</p> | ||
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You will now find your new ingestion source running | ||
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<p align="center"> | ||
<img width="75%" alt="ingestion_running" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/redshift/redshift_ingestion_running.png"/> | ||
</p> | ||
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## Validate Ingestion Runs | ||
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11. View the latest status of ingestion runs on the Ingestion page | ||
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<p align="center"> | ||
<img width="75%" alt="ingestion succeeded" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/redshift/redshift_ingestion_succeeded.png"/> | ||
</p> | ||
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12. Click the plus sign to expand the full list of historical runs and outcomes; click **Details** to see the outcomes of a specific run | ||
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<p align="center"> | ||
<img width="75%" alt="ingestion_details" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/redshift/redshift_ingestion_details.png"/> | ||
</p> | ||
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13. From the Ingestion Run Details page, pick **View All** to see which entities were ingested | ||
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<p align="center"> | ||
<img width="75%" alt="ingestion_details_view_all" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/redshift/redshift_ingestion_details_view_all.png"/> | ||
</p> | ||
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14. Pick an entity from the list to manually validate if it contains the detail you expected | ||
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<p align="center"> | ||
<img width="75%" alt="ingestion_details_view_all" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/redshift/redshift_ingestion_ingested_assets.png"/> | ||
</p> | ||
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**Congratulations!** You've successfully set up Redshift as an ingestion source for DataHub! | ||
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*Need more help? Join the conversation in [Slack](http://slack.datahubproject.io)!* |
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--- | ||
title: Overview | ||
--- | ||
# Redshift Ingestion Guide: Overview | ||
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## What You Will Get Out of This Guide | ||
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This guide will help you set up the Redshift connector through the DataHub UI to begin ingesting metadata into DataHub. | ||
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Upon completing this guide, you will have a recurring ingestion pipeline that will extract metadata from Redshift and load it into DataHub. This will include to following Redshift asset types: | ||
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* Database | ||
* Schemas (External and Internal) | ||
* Tables (External and Internal) | ||
* Views | ||
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This recurring ingestion pipeline will also extract: | ||
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* **Usage statistics** to help you understand recent query activity | ||
* **Table-level lineage** (where available) to automatically define interdependencies between datasets | ||
* **Table- and column-level profile statistics** to help you understand the shape of the data | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. "to help you understand relationships between Tables and Columns" |
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:::caution | ||
The source currently can ingest one database with one recipe | ||
::: | ||
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## Next Steps | ||
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If that all sounds like what you're looking for, navigate to the [next page](setup.md), where we'll talk about prerequisites | ||
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## Advanced Guides and Reference | ||
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If you're looking to do something more in-depth, want to use CLI instead of the DataHub UI, or just need to look at the reference documentation for this connector, use these links: | ||
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* Learn about CLI Ingestion in the [Introduction to Metadata Ingestion](../../../metadata-ingestion/README.md) | ||
* [Redshift Ingestion Reference Guide](https://datahubproject.io/docs/generated/ingestion/sources/redshift/#module-redshift) | ||
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*Need more help? Join the conversation in [Slack](http://slack.datahubproject.io)!* |
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--- | ||
title: Setup | ||
--- | ||
# Redshift Ingestion Guide: Setup & Prerequisites | ||
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To configure ingestion from Redshift, you'll need a [User](https://docs.aws.amazon.com/redshift/latest/gsg/t_adding_redshift_user_cmd.html) configured with the proper permission sets, and an associated. | ||
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This setup guide will walk you through the steps you'll need to take via your Google Cloud Console. | ||
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## Redshift Prerequisites | ||
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1. Connect to your Amazon Redshift cluster using an SQL client such as SQL Workbench/J or Amazon Redshift Query Editor with your Admin user. | ||
2. Create a [Redshift User](https://docs.aws.amazon.com/redshift/latest/gsg/t_adding_redshift_user_cmd.html) that will be used to perform the metadata extraction if you don't have one already. | ||
For example: | ||
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```sql | ||
CREATE USER datahub WITH PASSWORD 'Datahub1234'; | ||
``` | ||
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## Redshift Setup | ||
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1. Grant the following permission to your `datahub` user: | ||
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```sql | ||
ALTER USER datahub WITH SYSLOG ACCESS UNRESTRICTED; | ||
GRANT SELECT ON pg_catalog.svv_table_info to datahub; | ||
GRANT SELECT ON pg_catalog.svl_user_info to datahub; | ||
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``` | ||
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## Next Steps | ||
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Once you've confirmed all of the above in Redshift, it's time to [move on](configuration.md) to configure the actual ingestion source within the DataHub UI. | ||
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*Need more help? Join the conversation in [Slack](http://slack.datahubproject.io)!* |
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@@ -52,6 +52,9 @@ In order to configure ingestion from Snowflake, you'll first have to ensure you | |
grant references on all views in database identifier($db_var) to role datahub_role; | ||
grant references on future views in database identifier($db_var) to role datahub_role; | ||
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-- Assign privileges to extract lineage and usage statistics from Snowflake by executing the below query. | ||
grant imported privileges on database snowflake to role datahub_role; | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. thank you! |
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``` | ||
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If you have imported databases in your Snowflake instance that you wish to integrate with DataHub, you'll need to use the below query for them. | ||
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grant IMPORTED PRIVILEGES on database "<your-database>" to role datahub_role; | ||
``` | ||
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4. Assign privileges to extract lineage and usage statistics from Snowflake by executing the below query. | ||
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```sql | ||
grant imported privileges on database snowflake to role datahub_role; | ||
``` | ||
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## Next Steps | ||
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Once you've done all of the above in Snowflake, it's time to [move on](configuration.md) to configuring the actual ingestion source within DataHub. | ||
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*Need more help? Join the conversation in [Slack](http://slack.datahubproject.io)!* | ||
*Need more help? Join the conversation in [Slack](http://slack.datahubproject.io)!* |
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Nice -- thank you for catching this!