Optimizing Query Performance with Redshift Workload Management (WLM)

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Optimizing Query Performance with Redshift Workload Management (WLM)

In this lab, you'll learn how to optimize query performance in Amazon Redshift by configuring Workload Management (WLM). You'll set up WLM queues, create tables, users, and query groups, and monitor queue activity using system tables.

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Lab Info

Level

Beginner

Last updated

Sep 24, 2025

Duration

30m

Challenge

Configure WLM Queues

Set up two WLM queues in Amazon Redshift: one for ETL processes and another for Reporting tasks. Each queue will be associated with a specific user group and query group to help prioritize and isolate workloads efficiently.
Challenge

Set Up Tables, Users, and Query Groups

Create a sample sales table in Amazon Redshift along with two users: one for ETL and another for Reporting. Assign each user to its corresponding user group and query group to enable targeted routing of queries to their designated WLM queues.
Challenge

Track WLM Queues in Redshift Using System Views

Verify that queries were routed correctly by checking system views such as stv_wlm_service_class_config, stl_wlm_query, and svl_qlog. Use these views to confirm that WLM configurations were applied as expected and that priority settings are in effect.

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