![]() Additionally, late binding views can be used with external tables via Redshift Spectrum. Using late-binding views in a production deployment of dbt can vastly improve the availability of data in the warehouse, especially for models that are materialized as late-binding views and are queried by end-users, since they won’t be dropped when upstream models are updated. Distribution Key (DISTKEY) The distribution key is a column in your table that determines how the data is distributed across the nodes in your Redshift cluster. In practice, this means that if upstream views or tables are dropped with a cascade qualifier, the late-binding view does not get dropped as well. Understanding DISTKEY and SORTKEY Before diving into the topic of compression, let’s briefly discuss the role of DISTKEY and SORTKEY in Redshift. Table level properties can be set using the dialect specific. ![]() Imagine if you need to query data from a user. DISTYLE EVEN does not care for column values. This DDL option "unbinds" a view from the data it selects from. Users can specify the diststyle, distkey, sortkey and encode properties per table and per column. Queries with a DISTKEY/SORTKEY give better query performance than those without them. Redshift supports views unbound from their dependencies, or late binding views.
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