sp_procedure_name is the name of the stored procedure that you want to create.If the stored procedure already exists, the OR REPLACE keyword will replace the existing procedure with the new definition. CREATE OR REPLACE PROCEDURE is used to create or replace a stored procedure in Redshift.Stored producers are defined as a block or body or numerous lines of text.įollowing is the syntax to create stored procedures in Redshift database: CREATE PROCEDURE sp_procedure_name The plpgsql provides a block-quoting mechanism. You can create a Redshift stored procedures using CREATE OR REPLACE PROCEDURE command. Returning a scalar result or a result set.Redshift plpgsql language provides following procedural logic: These procedures once stored in specific database can be called multiple times. Procedures take an argument and declare internal variables. As a procedural language, it has branch, loop, subprogram structures. plpgsql is a scripting language embedded in SQL based on Postgres PL/pgSQL language. Redshift Stored Procedure Return Result Set – Working ExampleĪs mentioned earlier, Redshift allows you to create a stored procedures using postgre plpgsql language.Redshift Dynamic SQL Queries and Examples.And you achieve this by creating stored procedure that checks for existence of table in your schema. You may want to check the intermediate table if its exists in database before dropping it. You would be working on many intermediate tables in your logic. Stored procedure also support building SQL logic dynamically and execute them.įor example, let us say you are working on ETL logic to migrate data. You can use your conditional logic’s such as if-else, while statements. Redshift support PostgreSQL and that provides the power to get and update the database information on the Redshift database, and the procedure language provides the logic for if-then-else branching and application processing on the data. Amazon Redshift Stored Procedure OverviewĪmazon Redshift stored procedures are used to encapsulate the data migration, data validation and business specific logic’s and same time handle the exceptions if any in your data or custom exception handling.
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