Redshift materialized views update#

Update: Allows user to modify a column using UPDATE statementĭelete: Alows user to delete rows using DELETE statement Insert: Allows user to load data into a table using INSERT statement Select: Allows user to read data using SELECT statement User still needs specific table-level permissions for each table within the schemaĬreate: Allows users to create objects within a schema using CREATE statement Usage: Allows users to access objects in the schema.

Redshift materialized views how to#

More details on the access types and how to grant them in this AWS documentation. Access TypesĪmazon Redshift allows many types of permissions. This tutorial will show you an easy way to see what permissions have been granted to users in your database. You want to make sure users have the data they need to do their jobs, but also want to keep your data secure. Now if you are paul, you are a member of etl at the same time, and you will be allowed to run the statement.Knowing who has access to what tables in Amazon Redshift is very important. So one way to make this ownership change work is to (temporarily) make one user a member of the other: GRANT etl TO paul So like you can be a member of a group, you can also be a member of a user. In PostgreSQL there is no distiction between users and groups, both are “roles”. That last sentence must be a bit confusing, so let me explain. Superusers can of course always change ownership. So you must be both paul (or a member of paul) and etl (or a member of etl) to execute the command. To alter the owner, you must also be a direct or indirect member of the new owning role, and that role must have CREATE privilege on the table's schema. You must own the table to use ALTER TABLE. According to the comments, Amazon Redshift was modified so that this is not possible.Ĭhanging the ownership is different from granting a privilege, so the documentation you quote doesn't cover that. Which is in contrast with what the documentation is stating.Ĭan you spot anything in my process that is not correct? I'm quite sure I have set up all the necessary permissions. He's getting the error: (500310) Invalid operation: must be superuser to change owner However, when paul runs the below: ALTER TABLE materialized_views_staging.hj_insights OWNER TO etl As per the AWS documentation, the owner (or a superuser) of an object can query, modify, or grant privileges on the object.

Now, we need to change the table ownership so that the daily ETL can insert data into the table as it runs.Īt this point paul is the owner of the hj_insights table. Where etl is a user that we use to run daily ETL jobs.Īfter running all of the above paul created a table: create table materialized_views_staging.hj_insights (idd varchar, amount int) Grant usage on schema materialized_views_staging to group mv_owners Īlter default privileges in schema materialized_views_staging grant all on tables to group mv_owners Grant all on schema materialized_views_staging to group mv_owners

I then updated permissions on the schema as: grant usage on schema materialized_views_staging TO etl Where paul and ana are 2 users that our data analysts use to access the Redshift cluster. In our Redshift cluster, in one of the databases we have, as an admin user, I've created a schema and group adding 2 users to it: create schema materialized_views_staging Ĭreate group mv_owners with user paul, ana

The problem I'm facing is with altering the ownership of a table, here's more detail. I'm having issues with some simple Redshift command.