Presto: SQL on Everything
Citations Over TimeTop 10% of 2019 papers
Abstract
Presto is an open source distributed query engine that supports much of the SQL analytics workload at Facebook. Presto is designed to be adaptive, flexible, and extensible. It supports a wide variety of use cases with diverse characteristics. These range from user-facing reporting applications with sub-second latency requirements to multi-hour ETL jobs that aggregate or join terabytes of data. Presto's Connector API allows plugins to provide a high performance I/O interface to dozens of data sources, including Hadoop data warehouses, RDBMSs, NoSQL systems, and stream processing systems. In this paper, we outline a selection of use cases that Presto supports at Facebook. We then describe its architecture and implementation, and call out features and performance optimizations that enable it to support these use cases. Finally, we present performance results that demonstrate the impact of our main design decisions.
Related Papers
- → Comparison of SQL, NoSQL and NewSQL databases for internet of things(2016)41 cited
- → Hybrid storage engine for geospatial data using NoSQL and SQL paradigms(2021)5 cited
- → Improving The Performance of Big Data Databases(2019)1 cited
- → Opportunity: NoSQL and Big Data(2012)
- → Standard process for moving from a relational database model to NoSQL(2023)