- Lab
- Cloud
- Data
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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Table of Contents
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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.
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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.
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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, andsvl_qlog. Use these views to confirm that WLM configurations were applied as expected and that priority settings are in effect.
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