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.

HermesDB – Integrated Presto with a lucene-based Query Engine – Yue Long, Tencent

HermesDB – Integrated Presto with a lucene-based Query Engine – Yue Long, Tencent

HermesDB is the next generation of OLAP engine at Tencent with the architecture featuring separation of storage and calculation. HermesDB characterizes efficient indexing files in storage data, equipping with customized Presto as the core query engine. With the help of Presto connector, HermesDB could not only support full ANSI syntax but also ultilize Apache Lucene as underlying computer core. Besides, we are in the progress of improving the end-to-end performance with the newly released Java Vector APIs, acclecerating different kinds of complex computations with SIMD instructions. According to the benchmark(SSB) we have, HermesDB outperformances other mainstream C++ based MPP engines.

Presto at Tencent at Scale: Usability Extension, Stability Improvement and Performance Optimization – Junyi Huang & Pan Liu

Presto at Tencent at Scale: Usability Extension, Stability Improvement and Performance Optimization – Junyi Huang & Pan Liu

Presto has been adopted at Tencent as scale to serve scenarios of ad-hoc queries and interactive queries for different business units. In this talk, we’d like to share our practice of Presto in production. In details, we’ll talk about our works to further improve the stability, extend the usability, and optimize the performance of Presto. The works all together make Presto better fit in our production environment, which we think will also benefit the community.