In this post, we describe how you can schedule SQL statements on Amazon Redshift using EventBridge, and also go over the required security privileges and the steps to schedule a SQL statement using both the AWS Management Console and the AWS CLI. This rule then runs as per the schedule using EventBridge.
When creating a schedule using the Amazon Redshift console, you create an EventBridge rule with the specified schedule and attach a target (with the Amazon Redshift cluster information, login details, and SQL command run) to the rule. Beside scheduling SQL, you can also invoke the Amazon Redshift Data API in response to any other EventBridge event. Amazon Redshift integrates with EventBridge to allow you to schedule your SQL statements on recurring schedules and enables you to build event-driven applications.
#Redshift unload parquet software
EventBridge delivers a stream of real-time data from your own applications, software as a service (SaaS) applications, and AWS services and routes that data to targets including Amazon Redshift clusters. Refresh materialized views manually at a regular frequencyĮventBridge is a serverless event bus service that makes it easy to connect your applications with data from a variety of sources.Delete older data from tables as per regulatory or established data retention policies.Unload data using UNLOAD nightly or at regular intervals throughout the day.Load data using COPY statements every night.Run SQL queries during non-business hours.This helps you in a variety of scenarios, such as when you need to do the following: The results are available for 24 hours after running the SQL statement. You can schedule and run the SQL statement using Amazon EventBridge and the Amazon Redshift Data API. You can now schedule statements directly from the Amazon Redshift console or by using the AWS Command Line Interface (AWS CLI) without having to use scripting and a scheduler like cron.
#Redshift unload parquet how to
In this post, we discuss how to set up and use the new query scheduling feature on Amazon Redshift.Īmazon Redshift users often need to run SQL queries or routine maintenance tasks at a regular schedule. Amazon Redshift is fully managed, scalable, secure, and integrates seamlessly with your data lake. Amazon Redshift is the most popular cloud data warehouse today, with tens of thousands of customers collectively processing over 2 exabytes of data on Amazon Redshift daily.
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