Postgres

This page will guide you through the setup of Postgres in K using the direct connect method.

Integration details

Step 1) Establish Postgres Access

You will need to create a user <kada user> for the K Platform.

Generally all users should have access to the pg_catalog tables on Database creation for Postgres.

In the event the user doesn’t have access, explicit grants will need to be done per new Database in Postgres to the <kada user>.

GRANT USAGE ON SCHEMA pg_catalog TO <kada user>;
GRANT SELECT ON ALL TABLES IN SCHEMA pg_catalog TO <kada user>;

The user used for the extraction must also be able to connect to the the databases needed for extraction.

PG Tables

The user must have access to these pg_catalog tables per applicable database in Postgres

• pg_class

• pg_namespace

• pg_proc

• pg_database

• pg_language

• pg_type

• pg_collation

• pg_depend

• pg_sequence

• pg_constraint

• pg_authid

• pg_auth_members

Databases

• The user must also be able to connect to all databases that you want onboarded.

Step 2) Connecting K to Postgres

• Select Platform Settings in the side bar

• In the pop-out side panel, under Integrations click on Sources

• Click Add Source and select Postgres

  

• Select Direct Connect and add your Postgres details and click Next

• Fill in the Source Settings and click Next

  • Name: The name you wish to give your Postgres Instance in K

  • Host: Add your Postgres host (found in your Postgres URL)

    • Omit the https:// from the URL

• Add the Connection details and click Save & Next when connection is successful

  • Host: Use the same details you previously added in the Host setting

  • Username: Add the Postgres user name you created in Step 1

  • Password: Add the Postgres user password you created in Step 1

• Test your connection and click Save

• Select the Databases you wish to load into K and click Finish Setup

  • All databases will be listed. If you have a lot of databases this may take a few seconds to load

• Return to the Sources page and locate the new Postgres source that you loaded

• Click on the clock icon to select Edit Schedule and set your preferred schedule for the Snowflake load

Note that scheduling a source can take up to 15 minutes to propagate the change.

Step 3) Manually run an ad hoc load to test Postgres setup

• Next to your new Source, click on the Run manual load icon

  

• Confirm how your want the source to be loaded

  

• After the source load is triggered, a pop up bar will appear taking you to the Monitor tab in the Batch Manager page. This is the usual page you visit to view the progress of source loads

  

A manual source load will also require a manual run of

• DAILY

• GATHER_METRICS_AND_STATS

To load all metrics and indexes with the manually loaded metadata. These can be found in the Batch Manager page

Troubleshooting failed loads

• If the job failed at the extraction step

  • Check the error. Contact KADA Support if required.

  • Rerun the source job

• If the job failed at the load step, the landing folder failed directory will contain the file with issues.

  • Find the bad record and fix the file

  • Rerun the source job