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This document provides an overview of reading the source code of Presto, an open source distributed SQL query engine. It recommends starting on GitHub at prestosql/presto and exploring areas of interest like SQL interfaces to different data sources via connectors, the query engine core, distributed systems implementation, or extending Presto. Useful techniques for navigating the code with IntelliJ

- Presto as a Service in Treasure Data involves deploying Presto using blue-green deployments with no downtime and automatic error recovery of failed queries. - Monitoring Presto involves using its JSON API to view queries and query plans as well as collecting Presto metrics with Fluentd and detecting anomalies. - Benchmarking compares query performance between Presto versions by running predefine

The document discusses Spark internals and provides an overview of key components such as the Spark code base size and growth over time, core developers, Scala basics used in Spark, RDDs, tasks, caching/block management, and schedulers for running Spark on clusters including Mesos and YARN. It also includes tips for using IntelliJ IDEA to work with Spark's Scala code base.Read less