Presto on ARM – Chunxu Tang & Jiaming Mai, Alluxio

Presto on ARM – Chunxu Tang & Jiaming Mai, Alluxio

Traditionally, the deployment of Presto has been limited to Intel processors with the x86 architecture. However, with the growing popularity of ARM architecture, Chunxu and Jiaming have extended the Presto ecosystem to ARM and conducted a series of benchmark experiments. Their objective is to evaluate the performance of Presto on ARM architecture and identify key insights from the experiments. In this presentation, Chunxu and Jiaming will share the results of their performance evaluation and discuss some of the most significant findings from their research.

Presto on Spark – Facebook – Virtual Meetup

Presto on Spark – Facebook – Virtual Meetup

At Facebook, we have spent the past several years in independently building and scaling both Presto and Spark to Facebook scale batch workloads. It is now increasingly evident that there is significant value in coupling Presto’s state-of-art low-latency evaluation with Spark’s robust and fault tolerant execution engine. In this talk, we’ll take a deep dive in Presto and Spark architecture with a focus on key differentiators (e.g., disaggregated shuffle) that are required to further scale Presto.

Presto On Spark: Scaling not Failing with Spark – Ariel Weisberg, Meta & Shradha Ambekar, Intuit

Presto On Spark: Scaling not Failing with Spark – Ariel Weisberg, Meta & Shradha Ambekar, Intuit

Presto on Spark is an integration between Presto and Spark that leverages Presto’s compiler/evaluation as a library and Spark’s large scale processing capabilities. It enables a unified SQL experience between interactive and batch use cases. A unified option for batch data processing and ad hoc is very important for creating the experience of queries that scale instead of fail without requiring rewrites between different SQL dialects. In this session, we’ll talk about Presto On Spark architecture, why it matters and its implementation/usage at Intuit.