Last month we hosted PrestoCon, a return to in-person events that showcased the community development of Presto. In this blog we’ll detail Rippling’s presentation on their Presto use case, including their architecture, key optimizations, and hard earned lessons. You can also check out their full presentation here. Background Rippling is a popular HR and payroll…
Overview Presto’s architecture originally only supported a single coordinator and a pool of workers. This has worked well for many years but created some challenges. To overcome these challenges, we came up with a new design with a disaggregated coordinator that allows the coordinator to be horizontally scaled out across a single pool of workers….
In a multi-tenant system like Presto careful memory management is required to keep the system stable and prevent individual queries from taking over all the resources. However, tracking the memory usage of data structures in an application (Presto) running on the Java Virtual Machine (JVM) requires a significant amount of work. In addition, Presto is…