Dashboard applications that require fast query performance experience lower query compilation time, leading to improved user experience.The following are some specific use cases where this capability helps: The massively scalable serverless compilation capabilities benefit you whenever you need query compilation, especially with complex and highly concurrent workloads. This makes sure that one-time and first-time queries are processed with high performance in a transparent way, without any additional cost. At the time of running the query, the segments are quickly fetched from the compilation service and saved in the cluster’s local cache for future processing. During query processing, Amazon Redshift generates query segments and sends the segments that aren’t present in the cluster’s local cache to the external compilation farm to be compiled with massive parallelism. The Amazon Redshift compilation capability is managed with an external resource that your Amazon Redshift cluster uses based on your workload. With the launch of the massively scalable serverless compilation capability, Amazon Redshift can now compile the query segments faster and in parallel because the compilation isn’t limited by the specific cluster being used and its available CPU and memory resources. Amazon Redshift serverless query compilationĪmazon Redshift breaks down a query into a set of segments, and each segment is a set of operations, such as SCAN or BUILD HASH TABLE. This is where the massively scalable serverless compilation capability in Amazon Redshift makes a big difference. However, some mission-critical workloads require even faster response time. Depending on the query’s complexity, Amazon Redshift usually compiles those queries within seconds. You can also accelerate your workloads of one-time and first-time queries, which don’t have query segments compiled in the cache. Query segments that use already compiled code in the cache run faster because there’s no overhead of query compilation. When similar or same queries are sent to Amazon Redshift, the corresponding segments are present in the cluster code compilation cache. When a query is sent to Amazon Redshift, the query processing engine parses it into multiple segments and compiles these segments to produce optimized object files that are processed during query execution. We also share how our customers have enjoyed faster performance (in several cases, twice as fast) because of this new capability. This post presents the recently launched, massively scalable serverless compilation capability for Amazon Redshift, which can now concurrently compile query segments with additional compute resources at no extra cost. Customers tell us that they want extremely fast query response times so they can make equally fast decisions. Amazon Redshift is a fast, fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools.
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