At PrestoCon Day we heard from Bolt, a ride sharing app with 100 million users across 45 countries in Eastern Europe, who shared why they chose Presto to underpin their data architecture platform. By leveraging Presto’s capabilities, Bolt was able to address scalability limits, cost efficiency, and workload management challenges. In this blog we’ll recap…
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…