Videos Archive - PrestoDB

Getting started with the new Redis HBO for Presto (Aug 30, 2023)

Learn more about the new open-source Redis-based Historical Statistics Provider for Presto from Jay Narale, software engineer at Uber who built it. Redis is an open-source in-memory database that integrates with Presto through a dedicated connector. Now with a Redis history-based optimizer, you can enhance the efficiency and speed of query execution for Presto by using historical stats to generate optimized plans for your queries. Jay will cover how the Redis HBO utilizes the in-memory capabilities of Redis to store & analyze historical query execution data, which helps the optimizer make informed decisions about query planning and resource allocation based on the historical patterns of queries, leading to improved execution times and resource utilization.

Presto SQL Functions – Facebook

In this talk we will show how to use the recently introduced SQL function feature, how it works, and the ongoing work to support invoking arbitrary functions remotely with remote UDF server.

Dynamic UDF Framework and its Applications – Rongrong Zhong, Alluxio & Yanbing Zhang, Bytedance

Presto supports dynamically registered User Defined Functions (UDFs) since 2020. Over the years, we used this framework to add support for SQL UDFs and remote / external UDFs. One common community request in the UDF domain is to support Hive UDFs. Many companies have legacy Hive pipelines, and engineers who are familiar with HQL and Hive UDFs. With remote UDF, one can implement Hive UDF support as UDFs running on the remote cluster. But since HiveUDFs are written in Java, we can also run them inside the engine. We extended the dynamic UDF framework to support Java UDFs, and used this new extension to add HiveUDF support in Presto. With this feature, users can directly use their familiar HiveUDFs and UDAFs in their Presto query.

(Chinese) Presto at Bytedance – Hive UDF Wrapper for Presto

Presto has been widely used at Bytedance in several ways such as in the data warehouse, BI tools, ads etc. And, the Presto team at Bytedance has also delivered many key features and optimizations such as the Hive UDF wrapper, coordinator, runtime filter and so on which extend Presto usages and enhance Presto stabilities. Nowadays, most companies will use both Hive (or Spark) and Presto together. But Presto UDFs have very different syntax and internal mechanisms compared with Hive UDFs. This restricts Presto usage while users need to maintain 2 kinds of functions. In this talk, we will present a way to execute Hive UDF/UDAF inside Presto.