Amazon Aurora Serverless uses the Aurora Capacity Unit (ACU). This ACU is a combination of CPU (processing) and RAM (memory) capacity. To create an Amazon aurora serverless cluster, we define a minimum and maximum ACU.
I am using aurora serverless db with lambda and below is the exception i am getting in first invocation when db is stopped. However it is running fine in second invocation because db is resumed this time. I am trying to connecting using npm mysql and creating a pool connection.
Looks like it now supports a minimum of one ACU and allows you to force capacity changes even if it means dropping connections: -aws/whats-new/2019/04/amazon_aurora_serverless_now_supports_a_minimum_capacity_of_1_unit_and_a_new_scaling_option/
Hi Jeremy,
Thanks for the great article.
Have you done any benchmarking for bulk data load into aurora serverless ?
In my case I am trying to load data to it from spark cluster thru jdbc and seeing significantly high ( 10X more ) data load times ( truncate and load ) compared to a sql server RDS .
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