What is Presto on Spark?

1. Reporting and dashboarding This includes serving custom reporting for both internal and external developers for business insights and also many organizations using Presto for interactive A/B testing analytics. A defining characteristic of this use case is a requirement for low latency. It requires tens to hundreds of milliseconds at very high QPS, and not…

Scaling with Presto on Spark

Overview Presto was originally designed to run interactive queries against data warehouses, but now it has evolved into a unified SQL engine on top of open data lake analytics for both interactive and batch workloads. Popular workloads on data lakes include: 1. Reporting and dashboarding This includes serving custom reporting for both internal and external…

RaptorX: Building a 10X Faster Presto

RaptorX is an internal project name aiming to boost query latency significantly beyond what vanilla Presto is capable of. This blog post introduces the hierarchical cache work, which is the key building block for RaptorX. With the support of the cache, we are able to boost query performance by 10X. This new architecture can beat…

Building a high-performance platform on AWS to support real-time gaming services using Presto and Alluxio

Electronic Arts (EA) is a leading company in the gaming industry, providing dozens of games to serve billions of users worldwide each year. Making near real-time decisions for EA’s online services is critical for our business. This blog describes a data platform on AWS based on Presto and Alluxio to support online services with instantaneous…

Running Presto in a Hybrid Cloud Architecture

Migrating SQL workloads from a fully on-premise environment to cloud infrastructure has numerous benefits, including alleviating resource contention and reducing costs by paying for computation resources on an on-demand basis. In the case of Presto running on data stored in HDFS, the separation of compute in the cloud and storage on-premises is apparent since Presto’s…

Improving Presto Latencies with Alluxio Data Caching

The Facebook Presto team has been collaborating with Alluxio on an open source data caching solution for Presto. This is required for multiple Facebook use-cases to improve query latency for queries that scan data from remote sources such as HDFS. We have observed significant improvements in query latencies and IO scans in our experiments. We…