column_name, you can optionally rename the columns to be created. Editing / Replacing a View¶. If you need to edit an existing view because the underlying data source has changed, click Source refresh (see section Source Refresh).. SQL Server. BigQuery. By default, the names derive from the original table. A View creates a pseudo-table and from the perspective of a SELECT statement, it appears exactly as a regular table. As you can see in the view definition, the name column has been changed to group_name. Moving over to Amazon Redshift brings subtle differences to views, which we talk about here… 1. Previous How to Drop a … How a View is created. MySQL. Redshift. With this feature, you can now set a session-based parameter to enable your case-sensitive applications to easily query Amazon Redshift. A perfect use case is an ETL process - the refresh query might be run as a part of it. Tweet. Sometimes, it is necessary to modify a Virtual DataPort view. Then use Database Navigator to find the table.. 3) Using multiple RENAME COLUMN to rename multiple columns example. OR REPLACE which tells Redshift what to do if a view with the same name already exists. The materialized view is especially useful when your data changes infrequently and predictably. Lifetime Daily ARPU (average revenue per user) is common metric … How to Rename a Column in PostgreSQL. This article will show you how you can use DBeaver (a free database tool for most popular databases) to see and update table comments.. View comments. First you need to connect to your database (I assume you already know how to do it). By default, the names derive from the original table. A view can be created from a subset of rows or columns of another table, or many tables via a JOIN. I noticed that if you rename a table in Redshift the new name is automatically progagated to all the views that are based on that table. These statements rename two columns name and phone of the customers table to customer_name and contact_phone respectively: Unfortunately, Redshift does not implement this feature. For more information, see describe_field_name_in_uppercase in the Amazon Redshift Database Developer Guide. Redshift doesn’t yet support materialized views out of the box, but with a few extra lines in your import script (or a BI tool), creating and maintaining materialized views as tables is a breeze. The suggested solution didn't work for me with postgresql 9.1.4. this worked: SELECT dependent_ns.nspname as dependent_schema , dependent_view.relname as dependent_view , source_ns.nspname as source_schema , source_table.relname as source_table , pg_attribute.attname as column_name FROM pg_depend JOIN pg_rewrite ON pg_depend.objid = pg_rewrite.oid JOIN pg_class as dependent_view … Is there a way to prevent this behavior so that the view definition would contain the old table name? As Redshift is based on PostgreSQL, one might expect Redshift to have materialized views. Here's an example of renaming a column in PostgreSQL: alter table users rename column registered_at to created_at; Spread the word. Rename package to sqlalchemy_redshift #58 jklukas merged 2 commits into master from rename-package Oct 24, 2015 Conversation 10 Commits 2 Checks 0 Files changed Snowflake. If you only need to rename the view, in the Server Explorer, right-click on the view and then click Rename.. The documentation for CREATE VIEW explains it pretty well, I think: The new query must generate the same columns that were generated by the existing view query (that is, the same column names in the same order and with the same data types), but it may add additional columns to the end of the list.