![]() ![]() 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. This DDL option "unbinds" a view from the data it selects from. Redshift supports views unbound from their dependencies, or late binding views. AWS Documentation » Amazon Redshift » Database Developer Guide » Designing Tables » Choosing Sort Keys.AWS Documentation » Amazon Redshift » Database Developer Guide » Designing Tables » Choosing a Data Distribution Style.sql files, eg:įor more information on distkeys and sortkeys, view Amazon's docs: Sort and dist keys should be added to the block in model. if no setting is specified, sort_type defaults to compound. sort_type can have a setting of interleaved or compound.dbt will build the sort key in the same order the fields are supplied. sort accepts a list of sort keys, for example.dist can have a setting of all, even, auto, or the name of a key.Note that these settings will have no effect on models set to view or ephemeral models. Supplying these values as model-level configurations apply the corresponding settings in the generated CREATE TABLE DDL. Tables in Amazon Redshift have two powerful optimizations to improve query performance: distkeys and sortkeys. Performance optimizations Using sortkey and distkey In dbt-redshift, the following incremental materialization strategies are supported:Īll of these strategies are inherited from dbt-postgres. Redshift configurations Incremental materialization strategies
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |