12/28/2023 0 Comments Ra3 4xlarge pricingThe Queries tab in the UI also has a column to show if the query ran on the Main cluster or on the Concurrency Scaling cluster: The number of Active Scaling clusters is also shown in the UI under Concurrency Scaling Activity : There is a chart called “Max Configured Concurrency Scaling Clusters” which plots the value of max_concurrency_scaling_clusters over time. There are a few additional charts in the AWS Redshift console. Increasing the value of this parameter provisions additional standby clusters. The total number of clusters that should be used for concurrency scaling can be set by the parameter max_concurrency_scaling_clusters. The number of clusters used for concurrency scaling defaults to one (1), with the option to configure up to ten (10) total clusters. The new clusters have the same size (node type and number) as the main cluster. How We Configured Redshift Concurrency ScalingĬoncurrency scaling works by routing eligible queries to new, dedicated clusters. Click ‘Edit’ and you’ll be able to modify the settings for each queue. You should see a new column called “Concurrency Scaling Mode” next to each queue. Select your cluster’s WLM parameter group from the subsequent pull-down menu. Go to the AWS Redshift Console and click on “Workload Management” from the left-side navigation menu. We’ve also tested enabling Redshift’s automatic WLM and captured our experience with it in this blog post, “ Should I Enable Amazon Redshift’s Automatic WLM?“ Enabling Concurrency ScalingĬoncurrency scaling is enabled on a per-WLM queue basis. And that matters because, while AWS claims that concurrency scaling will be free for 97% of customers, you could face an additional usage charge if you exceed your credits. We recommend first optimizing your WLM because it will reduce the need for concurrency scaling. Queuing and SQA are a function of a proper set-up of Redshift’s workload management (WLM). Also, queries eligible for SQA (Short Query Acceleration) queue will not run on the concurrency scaling clusters. The query does not use Amazon Redshift Spectrum to reference external tables.įor routing to a concurrency scaling cluster, a query needs to encounter queueing.The query does not reference a table with sorting style of INTERLEAVED.Read-only SELECT queries (although more types are planned).For the first release, it handles read-only queries that meet three conditions: Eligible Query TypesĬoncurrency scaling does not work on all query types. If your cluster originally had 50 nodes and you scale down to 32, you’re still not eligible for concurrency scaling. Also, note that the cluster must have had fewer than 32 nodes at creation. This means that single-node clusters are not eligible. Node type must be dc2.8xlarge, ds2.8xlarge, dc2.large, ds2.xlarge, ra3.4xlarge, or ra3.16xlarge.There are three eligibility requirements for concurrency scaling. Any usage outside of your credits gets billed on a per-second basis according to your Redshift agreement.Ĭoncurrency scaling makes financial sense, but can it offer consistent service? Let’s find out. Amazon allows you to earn one free hour of scaling for every 24 hours of main Redshift cluster usage, and these credits accrue over time. In terms of pricing, concurrency scaling works on a credit system that should make it free for most users. Overprovision to meet peak demand, which is a waste of resources at off-peak timesĬoncurrency scaling adds resources to your Redshift cluster on an on-demand basis, adding processing power during peak time and withdrawing it in quieter moments.Optimize for typical workload, which means that analytics and BI queries may run slower at peak times.Introduction to Amazon Redshift Concurrency Scalingīefore concurrency scaling, Redshift users faced a familiar dilemma – dealing with peak demand. Conclusion: Is Redshift Concurrency Scaling Worth it?.Results of our Concurrency Scaling Tests.How We Configured Redshift Concurrency Scaling. ![]() Introduction to Amazon Redshift Concurrency Scaling.
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