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Paper details
Number 1 - March 2019
Volume 29 - 2019
Parallelizing user-defined functions in the ETL workflow using orchestration style sheets
Syed Muhammad Fawad Ali, Johannes Mey, Maik Thiele
Abstract
Today’s ETL tools provide capabilities to develop custom code as user-defined functions (UDFs) to extend the expressiveness of the standard ETL operators. However, while this allows us to easily add new functionalities, it also comes with the risk that the custom code is not intended to be optimized, e.g., by parallelism, and for this reason, it performs poorly for data-intensive ETL workflows. In this paper we present a novel framework, which allows the ETL developer to choose a
design pattern in order to write parallelizable code and generates a configuration for the UDFs to be executed in a distributed
environment. This enables ETL developers with minimum expertise in distributed and parallel computing to develop UDFs
without taking care of parallelization configurations and complexities. We perform experiments on large-scale datasets
based on TPC-DS and BigBench. The results show that our approach significantly reduces the effort of ETL developers
and at the same time generates efficient parallel configurations to support complex and data-intensive ETL tasks.
Keywords
ETL workflow, parallel ETL operators, parallel algorithmic skeletons, user-defined functions