Connecting Amazon Q Business to Aurora (PostgreSQL) using the console

Connecting Amazon Q to Aurora (PostgreSQL)

1. Sign in to the AWS Management Console and open the Amazon Q Business console.

2. From the left navigation menu, choose Data sources.

3. From the Data sources page, choose Add data source.

4. Then, on the Add data sources page, from Data sources, add the Aurora (PostgreSQL) data source to your Amazon Q application.

5. Then, on the Aurora (PostgreSQL) data source page, enter the following information:

6. Name and description, do the following:

   • For Data source name – Name your data source for easy tracking.

     Note

     You can include hyphens (-) but not spaces. Maximum of 1,000 alphanumeric characters.

   • Description – optional – Add an optional description for your data source. This text is viewed only by Amazon Q Business administrators and can be edited later.

7. In Source, enter the following information:

   1. Host – Enter the database host URL, for example: http://instance URL.region.rds.amazonaws.com.

   2. Port – Enter the database port, for example, 5432.

   3. Instance – Enter the database instance, for example postgres.

   4. Enable SSL certificate location – Choose to enter the Amazon S3 path to your SSL certificate file.

8. Authorization – Amazon Q Business crawls ACL information by default to ensure responses are generated only from documents your end users have access to. If supported for your connector, you can manage ACLs by selecting Enable ACLs to enable ACLs or Disable ACLs to disable them. To manage ACLs, you need specific IAM permissions. See Grant permission to create data sources with ACLs disabled for more details. See Authorization for more details.

9. In Authentication – Enter the following information for your AWS Secrets Manager secret.

   1. Secret name – A name for your secret.

   2. For Database username, and Password – Enter the authentication credential values you copied from your database.

   3. Choose Save.

10. Configure VPC and security group – optional – Choose whether you want to use a VPC. If you do, enter the following information:

    1. Subnets – Select up to 6 repository subnets that define the subnets and IP ranges the repository instance uses in the selected VPC.

    2. VPC security groups – Choose up to 10 security groups that allow access to your data source. Ensure that the security group allows incoming traffic from Amazon EC2 instances and devices outside your VPC. For databases, security group instances are required.

    For more information, see VPC.

11. IAM role – Choose an existing IAM role or create an IAM role to access your repository credentials and index content.

    Note

    Creating a new service IAM role is recommended.

    For more information, see IAM role.

12. In Sync scope, enter the following information:

    • SQL query – Enter SQL query statements like SELECT and JOIN operations. SQL queries must be less than 1000 characters and not contain any semi-colons (;). Amazon Q will crawl all database content that matches your query.

    • Primary key column – Provide the primary key for the database table. This identifies the row in the table for which your SQL query is written. The connector uses the primary key column value to identify rows, detect changes, and crawl data.

    • Title column – Provide the name of the column in your database table that you want to designate as the column with document titles.

    • Body column – Provide the name of the column in your database table that you want to designate as the column with document body text.

      Your SQL query can include multiple columns in your table concatenated into a single body column with an assigned alias.

13. Advanced settings

    Document deletion safeguard - optional–To safeguard your documents from deletion during a sync job, select On and enter an integer between 0 - 100. If the percentage of documents to be deleted in your sync job exceeds the percentage you selected, the delete phase will be skipped and no documents from this data source will be deleted from your index. For more information, see Document deletion safeguard.

14. In Additional configuration – optional – Configure the following settings:

    • Change-detecting columns – Enter the names of the columns that Amazon Q will use to detect content changes. Amazon Q will re-index content when there is a change in any of these columns.

    • Users' IDs column – Enter the name of the column which contains User IDs to be allowed access to content.

    • Groups column – Enter the name of the column that contains groups to be allowed access to content.

    • Source URLs column – Enter the name of the column which contains Source URLs to be indexed.

    • Time stamps column – Enter the name of the column which contains time stamps. Amazon Q uses time stamp information to detect changes in your content and sync only changed content.

    • Time zones column – Enter the name of the column which contains time zones for the content to be crawled.

    • Time stamps format – Enter the name of the column which contains time stamp formats to use to detect content changes and re-sync your content.

15. In Sync mode, choose how you want to update your index when your data source content changes. When you sync your data source with Amazon Q for the first time, all content is synced by default.

    • Full sync – Sync all content regardless of the previous sync status.

    • New or modified content sync – Sync only new and modified documents.

    • New, modified, or deleted content sync – Sync only new, modified, and deleted documents.

    For more details, see Sync mode.

16. In Sync run schedule, for Frequency – Choose how often Amazon Q will sync with your data source. For more details, see Sync run schedule. To learn how to start a data sync job, see Starting data source connector sync jobs.

17. Tags - optional – Add tags to search and filter your resources or track your AWS costs. See Tags for more details.

18. Field mappings – A list of data source document attributes to map to your index fields.

    Note

    Add or update the fields from the Data source details page after you finish adding your data source. You can choose from two types of fields:

    1. Default – Automatically created by Amazon Q on your behalf based on common fields in your data source. You can't edit these.

    2. Custom – Automatically created by Amazon Q on your behalf based on common fields in your data source. You can edit these. You can also create and add new custom fields.

       Note

       Support for adding custom fields varies by connector. You won't see the Add field option if your connector doesn't support adding custom fields.

    For more information, see Field mappings.

19. In Data source details, choose Sync now to allow Amazon Q to begin syncing (crawling and ingesting) data from your data source. When the sync job finishes, your data source is ready to use.

    Note

    View CloudWatch logs for your data source sync job by selecting View CloudWatch logs. If you encounter a Resource not found exception error, wait and try again as logs may not be available immediately.

    You can also view a detailed document-level report by selecting View Report. This report shows the status of each document during the crawl, sync, and index stages, including any errors. If the report is empty for an in-progress job, check back later as data is emitted to the report as events occur during the sync process.

    For more information, see Troubleshooting data source connectors.