Redshift aqua4/20/2023 (l_comment LIKE '%ctions%' AND l_comment LIKE '?ringly%') OR (l_comment LIKE '%hogs%' AND l_comment LIKE '%sentiments%') OR (l_comment LIKE '%pliers%' AND l_comment LIKE '%phins%') OR (l_comment LIKE '%epitaphs!%' AND l_comment LIKE '%breac%') OR (l_comment LIKE '%ins%' AND l_comment LIKE '%uses!%') OR (l_comment LIKE '%integrate!%' AND l_comment LIKE '?pend%') OR (l_comment LIKE '%idly%' AND l_comment LIKE '?posits%') OR (l_comment LIKE '%telets%' AND l_comment LIKE '?tect!%') OR (l_comment LIKE '%dugouts%' AND l_comment LIKE '%ches%') OR (l_comment LIKE '%ithin%' AND l_comment LIKE '%quiet%') OR (l_comment LIKE '%ornis%' AND l_comment LIKE '%phins?%') OR The number of LIKE or OR predicates gets progressively higher to simulate complex workloads.įor example, Query 1 has one OR predicate: Each query has a predicate with LIKE and OR. The queries are designed to measure scan cost, which are an area of focus for AQUA. We randomly generated a query set with queries of various complexity. The following table summarizes our table definition. To test AQUA, we created six text search queries that scan, filter, and aggregate the lineitem table in the TPC-H dataset, which has 18 billion rows with a WHERE clause predicate against the l_comment column. Query set – Sample queries based on the TPC-H and TPC-DS workload.Amazon Redshift cluster – 2-node RA3.xlplus.To test AQUA for RA3.xlplus, we started by creating an RA3.xlplus cluster with the following details: Reducing the impact on your Amazon Redshift cluster by offloading certain queries that scan, filter, and aggregate large datasets to AQUA.Automatically boosting certain types of queries.In this post, we continue to build on the post AQUA (Advanced Query Accelerator) – A Speed Boost for Your Amazon Redshift Queries and show that with AQUA support, RA3.xlplus provides the same benefit as the existing supported RA3 nodes in the following areas: AQUA uses AWS-designed processors with the AWS Nitro chip adapter to speed up data encryption and compression, and custom analytical processors implemented in FPGAs to accelerate applications requiring text search of a very large dataset, such as marketing and personalization.Īnnouncing updates to the AWS Well-Architected FrameworkĬustomers have asked us to support AQUA for RA3.xlplus, and we recently launched AQUA for RA3.xlplus nodes. In 2021, Amazon Redshift introduced AQUA (Advanced Query Accelerator) for Amazon Redshift to boost performance of analytical queries that scan, filter, and aggregate large datasets. It has been widely used in environments with light computing demand such as QA, data analytics for small teams, or processing smaller datasets. RA3.xlplus is the smallest node in the RA3 family, but it offers the same advanced functionalities. RA3.xlplus, the latest member of the RA3 node family, offers one third of the computing power of RA3.4xlarge and costs one third of the price. The RA3 node family includes RA3.16xlarge, RA3.4xlarge, and RA3.xlplus nodes for large, medium, and small workloads, respectively. The Java class path for the drivers are already configured for ADS in the datastudio.ini for launching ADS with datastudio.exe and in datastudio.bat/.sh and datastudio-bundled.bat/.sh for launching Aqua Data Studio from the command line.Amazon Redshift RA3 is the latest generation node type that allows you to scale compute and storage for your data warehouses independently. 08:23 AM 5,799 google-oauth-client-jetty.jarĬ:\Program Files\Aqua Data Studio 20.0 - 64bit\lib\drivers>Īqua Data Studio.app/Contents/Java/drivers/redshift.jar 08:23 AM 6,672 google-http-client-jackson2.jar 08:23 AM 765,648 cassandra-jackson-mapper-asl.jar 08:23 AM 36,549 cassandra-clientutil.jar 08:23 AM 15,364 cassandra-clientutil-extras.jar Ĭ:\Program Files\Aqua Data Studio 20.0 - 64bit\lib\drivers>dirĭirectory of C:\Program Files\Aqua Data Studio 20.0 - 64bit\lib\drivers Below is a listing of the Aqua Data Studio library directory \lib\drivers\. To update the Aqua Data Studio JDBC drivers for Redshift you need to overwrite the Aqua Data Studio redshift.jar file. Updating Driver Contents for use Redshift You may locate the latest Redshift JDBC drivers at the following location.
0 Comments
Leave a Reply.AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |