Extending Presto at LinkedIn with a Smart Catalog Layer LinkedIn

Extending Presto at LinkedIn with a Smart Catalog Layer LinkedIn

In this talk, Walaa describes how LinkedIn extended its Presto Hive Catalog with a smart logical abstraction layer that is capable of reasoning about logical views with UDFs by using two core components, Coral and Transport UDFs. Coral is a view virtualization library, powered by Apache Calcite, that represents views using their logical query plans. Walaa shows how LinkedIn leverages Coral abstractions to decouple view expression language from the execution engine, and hence execute non-Presto-SQL views inside Presto, and achieve on-the-fly query rewrite for data governance and query optimization.

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.