Saturday, 2 June 2018

Amazon RedShift enhanced the Short Query Acceleration

Amazon RedShift now improved the Short Query Acceleration by automating the maximum time-out setting for the short queries. Short Query Acceleration was introduced by AWS so to predict the execution time of the query by using the machine learning algorithms and for immediate processing, it also moves short running queries to an express queue. When the maximum runtime setting is been set to dynamic you can then let RedShift automate this setting.  Short query Acceleration improved the machine learning algorithm that can adapt the maximum run time to change the workload which will make it easier to use the minimize short query queuing time and increase the throughput. 

No comments:

Post a Comment

Amazon Macie: Identifying Sensitive Information in S3 Objects

Amazon Macie: An Overview Amazon Macie is an AWS service designed to help detect sensitive information, such as Personally Identifiable Info...