Redshift load12/16/2023 ![]() You can point JMeter to an existing Amazon Redshift cluster, or automatically create a new cluster.It deploys resources automatically, including JMeter.This solution has the following features: In this post, we demonstrate the use of the AWS Analytics Automation Toolkit for JMeter load tests on cloud benchmark data, using Amazon Redshift as a target environment. This includes a dedicated Windows instance, with all required JMeter dependencies, such as JVM and a sample test plan, thereby easily enabling powerful load testing capabilities on Amazon Redshift. The AWS Analytics Automation Toolkit now includes the option to automatically deploy JMeter on Amazon Elastic Compute Cloud (Amazon EC2) in the same virtual private cloud (Amazon VPC) as Amazon Redshift. Starting from scratch for a test setup could also be intimidating. Similarly, you can use JMeter to load test and assess the performance and throughput achieved for mixed extract, transform, and load (ETL) and BI workloads running on different Amazon Redshift cluster configurations.įor a deeper discussion of JMeter and its use for benchmarking Amazon Redshift, refer to Building high-quality benchmark tests for Amazon Redshift using Apache JMeter.Īlthough JMeter installation is a relatively straightforward process, consisting mainly of downloading and installing a Java virtual machine and JMeter, the thought of having to download, install, and set up any tool for benchmarking purposes can sometimes serve as a detractor for many. Furthermore, you can rerun the same exact simulation on a different Amazon Redshift cluster that perhaps has twice as many nodes as the original cluster, to compare the price/performance ratio of each cluster. In the database context, it’s an extremely valuable tool for repeating benchmark tests in a consistent manner, simulating concurrency workloads, and scalability testing on different database configurations.įor example, you can use JMeter to simulate a single business intelligence (BI) user or hundreds of BI users simultaneously running various SQL queries on an Amazon Redshift cluster for performance benchmarking, scalability, and throughput testing. Solution overviewĪpache JMeter is an open-source load testing application written in Java that you can use to load test web applications, backend server applications, databases, and more. ![]() This is accomplished by provisioning Apache JMeter as part of the analytics stack. This post discusses new additions to the AWS Analytics Automation Toolkit, which enable you to perform advanced load testing on Amazon Redshift. The AWS Analytics Automation Toolkit enables automatic provisioning and integration of not only Amazon Redshift, but database migration services like AWS Database Migration Service (AWS DMS) and the AWS Schema Conversion Tool (AWS SCT). A key differentiating factor of Amazon Redshift is its native integration with other AWS services, which makes it easy to build complete, comprehensive, and enterprise-level analytics applications. This blog post was last reviewed and updated July 2022, to be consistent with the new menu interface launched by the AWS Analytics Automation Toolkit.Īmazon Redshift is a fast, fully managed, widely popular cloud data warehouse that powers the modern data architecture that empowers you with fast and deep insights and machine learning (ML) predictions using SQL across your data warehouse, data lake, and operational databases. ![]()
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