Airflow redshift stored procedure I am a newbie to Redshift stored proc. Which solution will meet this requirement in the MOST cost-effective way? Module Contents ¶ class airflow. This mode provides enhanced transaction controls that enable you to automatically commit the statements inside the stored procedure. Learn how to efficiently create a stored procedure in Amazon Redshift that executes multiple SQL commands in a row, simplifying your database management task sp_name The name of the procedure to be removed. Is there a system view that shows what stored procedures that are currently running? I'm considering learning Redshift stored procedures but struggling to find a reason why/when they would come in handy if we can do the same thing via Python/Spark/Scala etc i. Seems like my only options are to call the crawler somehow or pre-setup May 24, 2023 · When I am calling redshift query through AWS step function it does not wait for this step to finish and triggers next job. My background is mostly T-SQL relational databases. Learn the ins and outs of Airflow Postgres Operator and enhance your Apache Airflow experience. The procedure is stored in the database and available for any user with sufficient database privileges. The easiest way to automate data pipelines is to create a stored procedure to schedule jobs under Redshift query editor V2 (I have a more detailed introduction to SQL stored procedures, you can refer to this article). For more information, see TRUNCATE. Feb 4, 2025 · Running Redshift Vacuum + Analyze through Airflow Amazon Redshift is a powerful data warehouse, but it requires manual maintenance to keep performance high. It could then use psycopg2 to connect to the Amazon Redshift cluster and execute an SQL command to run the stored procedure. @param arglist: comma-separated list of arg types of the procedure. without using AWS step functions - can we handle this dependency ? Integrating Redshift with Airflow allows you to automate, schedule and monitor a variety of tasks. Stored procedures are commonly used to encapsulate logic for data transformation, data validation, and business-specific logic. Not in the way described here https://docs. Mar 16, 2021 · I'm trying to make a redshift procedure that will give output on any table like say a row count for example. To use with Postgres Connection choose Amazon Redshift SQL. I was wondering if there's any way to write an if-then-else logic in Redshift? Basically I want to run this logic in Redshift: Oct 11, 2019 · In this post, I show how to use AWS Step Functions and AWS Glue Python Shell to orchestrate tasks for those Amazon Redshift-based ETL workflows in a completely serverless fashion. When a query or command in a stored procedure causes an error, subsequent queries don't run and the transaction is rolled back. They have decided to bring you into the project and expect you to create high grade data pipelines that Aug 1, 2019 · Amazon always works backwards from the customer’s needs. RedshiftDataOperator (sql, database=None, cluster_identifier=None, db_user=None, parameters=None, secret_arn=None, statement_name=None, with_event=False, wait_for_completion=True, poll_interval=10, return_sql_result=False, workgroup_name=None, deferrable=conf. Parameters sql (Can receive a str representing a sql statement, or an iterable of str (sql statements)) -- the sql code to be executed redshift_conn_id (str) -- reference to Amazon Redshift connection id parameters (dict or iterable) -- (optional) the parameters to render the SQL query with. In this guide, I’ll walk you through automating data ingestion from Parquet files stored in Amazon S3 to Amazon Redshift, using stored procedures and This sample project demonstrates how to use Step Functions and the Amazon Redshift Data API to run an ETL/ELT workflow that loads data into the Amazon Redshift data warehouse. For a complete list of supported parameters please see the documentation for redshift_connector. You can define an Amazon Redshift stored procedure using the PostgreSQL procedural language PL/pgSQL to perform a set of SQL queries and logical operations. Using Airflow, you can orchestrate all of your SQL tasks elegantly with just a few lines of boilerplate code. By combining multiple SQL steps into a stored procedure, you can reduce round trips between your applications and the database. Amazon Redshift Connection ¶ The Redshift connection type enables integrations with Redshift. Here’s a step-by-step guide using a local PostgreSQL setup as a mock Redshift instance for demonstration purposes (real-world use requires an actual Redshift cluster). Feb 22, 2023 · A Redshift stored procedure is a tool for simplifying complex database tasks. Mar 8, 2023 · Stored Procedure Abortions I've got two stored procedures which run every 4 hours. @param proc_name: The name of the procedure to drop. argmode The mode of an argument, which can be IN, OUT, or INOUT. Schedule the Stored Procedure using Redshift Query Editor v2 or Amazon EventBridge. Oct 7, 2024 · Redshift Metadata ingestion failing for Stored Procedure #18145 Closed #19276 Prajwal214 Calling stored procedures across different cloud services can vary depending on the platform and the orchestration tool used. @param schema_name: The schema in which the procedure lives. This document covers two different methods to connect Airflow to Amazon Redshift: This topic describes how Amazon Redshift handles errors. This is true for all database engines (Postgres, MSSQL, RedShift, etc. Below are step-by-step instructions, code snippets, and key Airflow configurations, using the example from the GitHub repository. This is the native approach for managing connections to external services such as databases. com/redshift/latest/ Redshift Stored Procedures Working with Stored Procedures on Redshift ? Check this easy to understand blog that will solve all your doubts. A data engineer finished testing an Amazon Redshift stored procedure that processes and inserts data into a table that is not mission critical. Aug 19, 2021 · Amazon Redshift stored procedure call Asked 4 years, 3 months ago Modified 4 years, 3 months ago Viewed 5k times This sample project demonstrates how to use Step Functions and the Amazon Redshift Data API to run an ETL/ELT workflow that loads data into the Amazon Redshift data warehouse. In Redshift, the SELECT INTO statement retrieves data from one or more database tables and assigns the values to variables. These tasks include creating, deleting, and resuming a cluster, ingesting or exporting data to and from Redshift, as well as running SQL queries against Redshift. With this API, you can also access Redshift data with web-based service applications, including AWS Lambda. Similarly, you can use real-time analytics and artificial intelligence or machine learning without re-architecture. Aug 23, 2024 · This article provides a comprehensive guide on Airflow Redshift Operator. You can use SELECT INTO to assign a previously declared variable within a stored procedure or a RECORD type variable. You can use the output of a SHOW PROCEDURE to recreate the stored procedure. The state machine calls a Redshift stored procedure through the Redshift Data API, which loads the dataset from the staging area to the target production tables. Was this entry helpful? To utilize the RedshiftOperator, you need to configure Airflow with a Redshift connection and define it in a DAG. Nov 15, 2021 · This post demonstrates how you can apply the same set of approaches to stored procedures, and even schema changes to data warehouses like Amazon Redshift. The engineer wants to automatically run the stored procedure on a daily basis. Typically, stored procedure returns a unique value, it can also return result set in the form of cursor or temporary tables. The procedure is stored in the database and available for any user with Jun 19, 2025 · The easiest way to automate your data pipeline is to schedule jobs under Redshift query editor v2 by creating a Stored Procedure (I have a more detailed introduction about SQL Stored Procedure, you can refer to this article). RedshiftSQLOperator works together with RedshiftSQLHook to establish connections with Amazon Redshift. operators. With Airflow, you can orchestrate each step of your Redshift pipeline, integrate with services that clean your data, and store and publish your results using SQL and Python code. Details about stored procedures are logged in the following system tables and views: Mar 2, 2022 · Passes the stored procedure to the batch-execute-statement API to run in the Amazon Redshift cluster. (default value: False) template Nov 11, 2024 · There are several options for scheduling queries and stored procedures on an Amazon Redshift cluster. Python code for … Feb 21, 2023 · Redshift Dynamic SQL Queries As mentioned earlier, you can execute a dynamic SQL directly or inside your stored procedure based on your requirement. This is usually done with a crontab and something like a Python script. E. That’s my guarantee… Sep 5, 2016 · I would like to execute a dynamic SQL query stored in a string field on Amazon Redshift. In a Redshift, a call to a stored procedure is treat internally as a single SQL command. Let This topic describes the stored procedures and views that Amazon Redshift uses for stored procedure logging. Bitbucket, iii. Redshift also selects rows defined by any query and inserts them into a new table. You can use these Redshift conditional statements for data manipulation in your complex SQL queries. Developers who start with Airflow often ask the following questions “How to use airflow to orchestrate sql?” “How to specify date filters based on schedule intervals in Airflow?” This post aims to cover the above questions. Dec 21, 2021 · So that we can call our stored procedure in airflow dags and stored proc. Stored procedures loops and conditional logic run on the leader node of Amazon Redshift cluster, and any SQL within it is distributed to compute nodes Previously, you needed to extract the data, apply the procedural logic using Java/Python/or other on a separate server, and then reload the results All the code lives in stored procedures that are orchestrated by Airflow So far, I've taken the dbt Fundamentals course from their learning platform, but couldn't understand how to transform my code into something more modern and easy to test, debug, and document. Jul 9, 2025 · Collibra Platform supports many data sources and metadata sources, including JDBC data sources, ETL tools and BI tools, for which you can create a technical lineage. redshift_data. Alternatively, you can provide the full signature used to create the procedure including the input and output parameters with their modes. Simply, I imported mssql operator and tried to execute following: Aug 8, 2022 · Execute PostgreSQL Stored Procedure using Airflow (MWAA) Pre-requisite- i. Example: 1 <- 2 <- 3 <- 4 <- 5 <- 6 <- 7 <- 8 <- 9 <- 10 Assume if 5th procedure fails , if we restart the process it has to start from 5th not from the 1st procedure . Question is: if you're working on building a data warehouse project from scratch, when would stored procedures be more useful than doing the same thing in a programming language? This demo explains Serverless implementation on how we can move legacy ELT process implemented in Oracle to AWS RedShift using stored procedures as well as AWS Glue - manashdeb/redshift-stored-proc The problem that I'm having is that I need for a stored procedure in redshift to return a temporary table. 7287 (late April 2019). Jun 16, 2021 · 1 I have found some other workarounds for mysql and other database providers but i wasn't able to find a solution to use stored procedure (get_data) inside of a select statement in redshift. CREATE OR REPLACE PROCEDURE redshift_sample_sp() AS $$ BEGIN RAISE INFO 'This is sample Redsh Apr 12, 2022 · listing stored procedures from redshift Finding if a stored procedure is in the proper schema is sometimes important for troubleshooting what something was created against. Here’s how you can set it up: Create the Stored Procedure to retrieve dates from another table and execute the main query. Whether you're managing vast datasets or orchestrating complex workflows, learn how to Jan 30, 2023 · How can i schedule multiple redshift (plpgsql) stored procedure in Airflow using python ? for eg. This post assumes you have a basic understanding of Apache Airflow and SQL. Using pg_catalog. autocommit (bool) -- if True, each command is automatically committed. A stored procedure can be called programmatically; it's just an SQL statement, like any other. Control structures in pgsqlpl can be utilised to build vital business logics for flexible data manipulation. You need to configure an external system, such as an EC2 instance, to regularly connect to and issue your SQL on the Redshift instance. amazon. When the SQL transformation processes a stored procedure, it passes input parameters to the stored procedure. Step Functions lets you coordinate multiple AWS services Feb 15, 2024 · The below image shows a preview of the data. Because test_proc () has a minimum log level of NOTICE, only NOTICE, WARNING, and EXCEPTION level messages are logged in SVL_STORED_PROC_MESSAGES. For instance, you can use tools like Apache Airflow DAGs to The stored procedure must exist in the Amazon Redshift database before you create the SQL transformation. Amazon Redshift reserves the sp_ prefix exclusively for stored procedures. OUT arguments are optional because they aren't used to identify a stored procedure. In this project, Step Functions uses an AWS Lambda function and the Amazon Redshift Data API to create the required database objects and to generate a set of example data, then executes two jobs in parallel that perform Nov 12, 2024 · In today’s data-driven world, organizations often need to keep data updated across multiple platforms for analytics and reporting. PG_PROC_INFO includes details about stored procedures and functions, including information related to output arguments, if any. May 28, 2022 · 0 We have 10 stored procedures stored in redshift database - Each procedure has dependency on each other . postgres_operator import PostgresOper For more information about stored procedures, see CREATE PROCEDURE and Creating stored procedures in Amazon Redshift. When a TRUNCATE statement is issued from within a stored procedure, it commits the current transaction and begins a new one. Dec 13, 2021 · Redshift SELECT INTO Variable The SELECT INTO statement in Redshift retrieves data from one or more database tables, and assigns the selected values to variables. This behavior stays the same in the context of stored procedures. varchar,varchar,bool. I need to run additional queries on these tables immediately after the data is unloaded. While these methods are discussed across various posts, forums, and AWS documentation, the Only the input data types are required, which are used to identify the stored procedure. You can choose with what you want to work. Dec 24, 2021 · Returning result set from redshift stored procedure Asked 3 years, 10 months ago Modified 2 years, 8 months ago Viewed 4k times Jul 2, 2024 · EventBridge routes the event to a Step Functions state machine. We will also talk about redshift stored procedure parameters and dynamic sql in stored procedure. Conclusion The apache-airflow-providers-Redshift package provides a set of operators that simplify the integration of Amazon Redshift into your Airflow workflows. I tried checking wait for callback option but then redshift step keeps on running and the job does not complete. Authenticating to Amazon Redshift ¶ Authentication may be performed using any of the authentication methods supported by redshift_connector such as via direct credentials, IAM authentication, or using an Identity Provider (IdP) plugin. g. Nov 22, 2024 · This video demonstrates how to schedule queries in Amazon Redshift using Amazon Redshift Query Editor V2. For more information about catalog tables, see System catalog tables. For detailed steps to create an Amazon MWAA environment using the Amazon MWAA console, refer to Introducing Amazon Managed Workflows for Apache Airflow (MWAA). Sep 21, 2023 · Redshift Stored Procedure to execute multiple statements in a row Asked 2 years, 2 months ago Modified 2 years, 2 months ago Viewed 606 times In Amazon Redshift, TRUNCATE issues a commit implicitly. But you can handle errors using an EXCEPTION block. Assuming the setup of Airflow (here MWAA) ii. To use with API (HTTP) choose Amazon Redshift Data. A stored procedure is a collection of SQL statements that multiple programs can use. You can focus on using your data to acquire new insights for your business and customers. The presenter, Ranjan Berman, walks through the process of creating query schedules for various SQL operations, including stored procedure execution, materialized view refresh, and data unloading. Sends back the identifier of the SQL statement to the state machine. Nov 9, 2024 · This stored procedure can retrieve the date range from the specified table, then use it to execute your query. Apr 18, 2023 · Redshift Transaction Management The default automatic commit behavior of the Redshift database causes each SQL command that runs separately to commit individually. aws. This article covered some key operators and demonstrated an example usage of the RedshiftToS3TransferOperator. Here is a sample query over this view: Supported Deferrable Operators ¶ List of operators that supports deferrable mode apache-airflow-providers-airbyte ¶ A data engineer finished testing an Amazon Redshift stored procedure that processes and inserts data into a table that is not mission critical. If your Learn about the privileges needed to create and run a stored procedure in Amazon Redshift. Customers have made strong requests that they want stored procedures in Amazon Redshift, to make it easier to migrate their existing workloads from legacy, on-premises data warehouses. You can also use the stored procedure to return the result set in your applications. ) and is important to be comfortable checking in on. I would have liked to create the partitions during unload. AWS Glue Python Shell is a Python runtime environment for running small to medium-sized ETL tasks, such as submitting SQL queries and waiting for a response. Apr 30, 2025 · Our vendor just migrated from MSSQL server to redshift. */ DECLARE sql_stmt VARCHAR(1000); Well, mostly because of testing. DROP PROCEDURE ignores argument names, because only the argument data types are needed to determine the procedure's identity. argtype The data type of the Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment - awslabs/amazon-redshift-utils Aug 17, 2019 · ) AS $$ /* Drop the procedure with the given name and arguments if it exists, don't fail if it doesn't. I have a stored procedure passing some ids and creating a temp table (tmp_tbl) from another table. Project Setup Required Tools and Technologies Apache Airflow: Workflow orchestration Nov 9, 2025 · I am not sure about how to call stored procedure in airflow operator- eg. It can automate SQL queries, improve performance, and reduce errors. Create Amazon Redshift resources Create two tables and a stored procedure on an Redshift Serverless workgroup using the products. Alternatively, if you have Amazon EC2 instances running, you could use a cron job to run a psql command that PG_PROC_INFO PG_PROC_INFO is an Amazon Redshift system view built on the PostgreSQL catalog table PG_PROC and the internal catalog table PG_PROC_EXTENDED. Jul 19, 2019 · You would need to run some code externally that triggers the stored procedure. Try creating a different stored procedure that runs for more than 10 minutes and see if it works through airflow. Examples Each of the following examples commits the current transaction to the database: Aug 12, 2022 · AWS Redshift has a specialized data warehouse that allows users to run unified analytics using a lakehouse architecture. On the other hand, as per my understanding, stored procedure is saved in cache and running time is more efficient. So airflow is able to run stored procedure then. sp_ctrl_calendar () This topic describes how to create and use stored procedures in Amazon Redshift. e. Jul 2, 2024 · EventBridge routes the event to a Step Functions state machine. Whether you're extracting and loading data, calling a stored procedure, or executing a complex query for a report, Airflow has you covered. Read the full guide now! For information about using COMMIT within a stored procedure, see Managing transactions. We are attempting to migrate powerbi and data factory; however, we cannot figure out how to &quot;call&quot; stored procedures on redshift. sql file. argname The name of an input argument. Aug 19, 2021 · Amazon Redshift stored procedure call Asked 4 years, 2 months ago Modified 4 years, 2 months ago Viewed 5k times Feb 14, 2021 · Data Pipelines with Airflow with Redshift and S3 6 minute read A music streaming company, Sparkify, has decided that it is time to introduce more automation and monitoring to their data warehouse ETL pipelines and come to the conclusion that the best tool to achieve this is Apache Airflow. It's much easier to create a unit test, call that saved SQL script and run it, compared to making a call to a database (prod or dev), getting a stored procedure from there, and running a test. Use the RedshiftSQLOperator to execute statements against an Amazon Redshift cluster. Nov 26, 2024 · In this post, we will see how you can create Redshift Stored Procedure with example. Sep 6, 2023 · In this post, we discuss the enhancements to Amazon Redshift stored procedures for non-atomic transaction mode. May 23, 2025 · Learn how to create and use stored procedures in AWS Redshift to optimize your database workflows. For more information and examples, see Creating stored procedures in Amazon Redshift. Inside stored procedure, you can directly execute a dynamic SQL using EXECUTE command. Which solution will meet this requirement in the MOST cost-effective way? Feb 9, 2023 · Redshift stored procedures are used to encapsulate business logic such as transformation, data validation, etc. 0. dba. For example, an AWS Lambda function can be configured to run on a schedule. Overview Use the RedshiftSQLOperator to execute statements against an Amazon Redshift cluster. But I can't figure out how you are supposed to pass in a table name dynamically and get output. In this guide, we'll cover general best practices for executing SQL Jan 6, 2022 · I am not sure about how to call stored procedure in airflow operator- eg. However, outside Redshift SP, you have to prepare the SQL plan and execute that using EXECUTE command. The python data model is wrapped inside a stored procedure and run in Snowflake which can be seen in the below image. In this tutorial, you’ll learn about the Redshift modules that are available in the AWS Airflow provider package. Apr 4, 2019 · I try to run my stored procedure in Airflow. By prefixing your procedure names with sp_, you make sure that your procedure name won't conflict with any existing or future Amazon Redshift procedure name. For a complete list of required permissions per supported data source type, see the Requirements and permissions section in Prepare the lineage harvester configuration file. Redshift implements stored procedures using the PostgreSQL procedural language (PL/pgsql). Dec 7, 2021 · Is there a way to trigger a stored procedure in redshift from airflow? Best scenario would be to not use a python operator, but I haven't found a reshift operator in airflow version < 2. In this article, we will check how to work with Redshift stored procedure using simple examples. will run in the redshift cluster? You can use Airflow Connections to connect to Redshift. I used to build SQL statements dynamically, store them Is there a SQL stored procedure in redshift? Amazon Redshift now support SQL stored procedure to make migration of your data to Redshift easier. Executing SQL queries is one of the most common use cases for data pipelines. In this guide, I’ll walk you through automating data ingestion from Parquet files stored in Amazon S3 to Amazon Redshift, using stored procedures and Nov 7, 2023 · Let's transform and model data stored in Redshift with a simple and effective approach using DBT and Tagged with dbt, airflow, aws, datamodeling. call stored_p_1() ; call stored_p_2() ; call stored_p_3() ; I want all of tasks to be running in parallel and all of them are independent of each other (except slight exception described in the end), weekly schedule interval that i want to keep Apr 25, 2024 · An Amazon MWAA environment. Amazon offers two ways to query Redshift. Stored procedures are considered code and as such should undergo the same rigor as application code. It also provides information on Apache Airflow & Amazon Redshift. getboolean ('operators', 'default_deferrable', fallback I am a newbie to RedShift but experienced with MSSQL. Specify the extra parameters (as json dictionary) that can be used in Amazon Redshift connection. Please review the document "Creating Stored Procedures in Amazon Redshift" for more information on getting started with stored procedures. Unfortunately, the Redshift system will not allow you to call an alter table inside a function or procedure. In this article, we will check Redshift Stored Procedure Return Result set Shows the definition of a given stored procedure, including its signature. One efficient way to manage large datasets is through automated ETL (Extract, Transform, Load) processes. Is there a way to run a stored procedure on a schedule? Not within Redshift itself. With that primary goal in mind, AWS chose to implement PL/pqSQL stored procedure to maximize compatibility with existing procedures and simplify Mar 29, 2020 · One of the most common use cases for Apache Airflow is to run scheduled SQL scripts. This procedure is commonly used for data transformation, validation, and for business logic ways. Feb 9, 2023 · In Redshift, you can use conditional statements to control the flow of execution of a SQL script based on conditions. svl_stored_proc_call to get the proc run status amazon-web-servicesstored-proceduresamazon-redshift For more information about the Amazon Redshift Data API and AWS CLI usage examples, see Using the Amazon Redshift Data API in the Amazon Redshift Management Guide. providers. Airflow enables both. I'm experiencing this odd behaviour where both of these procedures get aborted exactly the same number of times as successful runs (see table below). Creates a new stored procedure or replaces an existing procedure for the current database. Jan 15, 2020 · Hi, I've been currently trying to execute stored procs with psycopg2 on an AWS redshift cluster but no matter what … May 2, 2020 · Hi I am trying to run the below stored procedure in Redshift. Required privileges Oct 19, 2024 · In this guide, we’ll implement a modern ETL pipeline using Apache Airflow to extract data from S3, load it into Amazon Redshift, and transform it to enable real-time analytics. What is a stored procedure ? Stored Procedure (SP) is a database object which encapsulates business transformation logic into one unit. You can specify whether to I set up a stored proc to unload data to 4 buckets for 4 tables. Unlike some other managed databases … Discover the seamless integration of Amazon Redshift and Apache Airflow in this step-by-step tutorial. Amazon Redshift SQL ¶ Amazon Redshift manages all the work of setting up, operating, and scaling a data warehouse: provisioning capacity, monitoring and backing up the cluster, and applying patches and upgrades to the Amazon Redshift engine. Oct 7, 2017 · Stored Procedures are now supported in Amazon Redshift from version 1. Jul 2, 2024 · Effortlessly establish an Airflow Postgres connection. . code. Stored Procedure is- Call goal. sp_ctrl_calendar () My code- from airflow. CICD is configured Steps to follow- i. The following SQL statements show how to use SVL_STORED_PROC_MESSAGES to review raised messages with the SET option when creating a stored procedure. Jul 4, 2024 · In this article, we’ll look at how to use the Redshift SELECT INTO clause within Stored Procedures to assign a subquery value to a local variable. vfzrom vkqys rfzn pomzvy qnwcrn hltamgr ahcq dmdrx huofl vir lrrcb wdme rahvuru rlvd ejskhs