Job Performance Overview of Apache Flink and Apache Spark Applications

Research output: Contribution to conferencesPosterContributedpeer-review

Abstract

Apache Spark and Apache Flink are two Big Data frameworks used for fast data exploration and analysis. Both frameworks provide the runtime of program sections and performance metrics, such as the number of bytes read or written, via an integrated dashboard. Performance metrics available in the dashboard lack timely information and are only shown aggregated in a separate part of the dashboard. However, performance investigations and optimizations would benefit from an integrated view with detailed performance metric events. Thus, we propose a system that samples metrics at runtime and collects information about the program sections after the execution finishes. The performance data is stored in an established format independent from Spark and Flink versions and can be viewed with state-of-the-art performance tools, i.e. Vampir. The overhead depends on the sampling interval and was below 10% in our experiments.

Details

Original languageEnglish
Publication statusPublished - 2019
Peer-reviewedYes

Conference

TitleThe International Conference for High Performance Computing, Networking, Storage, and Analysis
Abbreviated titleSC 19
Duration17 - 22 November 2019
Website
LocationColorado Convention Center
CityDenver
CountryUnited States of America

External IDs

ORCID /0009-0007-5755-1427/work/142250922