shufflebench

A benchmark for generic, large-scale shuffle operations on continuous stream of data, implemented with state-of-the-art stream processing frameworks.

https://github.com/dynatrace-research/shufflebench

Science Score: 57.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 3 DOI reference(s) in README
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (10.4%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

A benchmark for generic, large-scale shuffle operations on continuous stream of data, implemented with state-of-the-art stream processing frameworks.

Basic Info
  • Host: GitHub
  • Owner: dynatrace-research
  • License: apache-2.0
  • Language: Java
  • Default Branch: main
  • Homepage:
  • Size: 1.21 MB
Statistics
  • Stars: 13
  • Watchers: 6
  • Forks: 2
  • Open Issues: 0
  • Releases: 0
Created over 2 years ago · Last pushed 10 months ago
Metadata Files
Readme License Citation

README.md

ShuffleBench

A benchmark for generic, large-scale shuffle operations on continuous stream of data, implemented with state-of-the-art stream processing frameworks.

Currently, we provide implementations for the following frameworks:

Additionally, a load generator and a tool for measuring and exporting the latency are provided.

Usage

The most straightforward way to run experiments with ShuffleBench is to use the Theodolite benchmarking framework. This allows you to run experiments on Kubernetes clusters in a fully automated, reproducible way including setting up stream processing application, starting the load generator, measuring performance metrics, and collecting the results.

Theodolite benchmark specifications for ShuffleBench can be found in kubernetes. There, you can also find detailed instructions on how to run the benchmarks.

To engage at a lower level, you can also run the benchmark implementations and the load generator manually using the Kubernetes manifests in kubernetes or run the provided container images or the Java applications directly.

Build and Package Project

Gradle is used to build, test, and package the benchmark implementations, the load generator, and the latency exporter tool. To build all subprojects, run:

sh ./gradlew build

Build and Publish Images

Except the Shufflebench implementations for Spark, all implementations can be packaged as container images and pushed to a registry using Jib by running:

sh ORG_GRADLE_PROJECT_imageRepository=<your.registry.com>/shufflebench ./gradlew jib

For Spark, we have to build and push the image manually (e.g., using the Docker deamon):

sh docker build -t <your.registry.com>/shufflebench/shufflebench-spark shuffle-spark/ docker push <your.registry.com>/shufflebench/shufflebench-spark

How to Cite

If you use ShuffleBench in your research, please cite:

Sören Henning, Adriano Vogel, Michael Leichtfried, Otmar Ertl, and Rick Rabiser. 2024. ShuffleBench: A Benchmark for Large-Scale Data Shuffling Operations with Distributed Stream Processing Frameworks. In Proceedings of the 15th ACM/SPEC International Conference on Performance Engineering (ICPE '24). Association for Computing Machinery, New York, NY, USA, 2–13. DOI: 10.1145/3629526.3645036

Owner

  • Name: Dynatrace Research
  • Login: dynatrace-research
  • Kind: organization
  • Email: research@dynatrace.com

This organization contains Open Source projects maintained by Dynatrace. If not stated differently, these projects are not officially supported.

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use ShuffleBench, please cite it using these metadata."
authors:
  - family-names: Henning
    given-names: "Sören"
    orcid: "https://orcid.org/0000-0001-6912-2549"
  - family-names: Vogel
    given-names: Adriano
    orcid: "https://orcid.org/0000-0003-3299-2641"
  - family-names: Leichtfried
    given-names: Michael
    orcid: "https://orcid.org/0000-0002-4415-6694"
  - family-names: Ertl
    given-names: Otmar
    orcid: "https://orcid.org/0000-0001-7322-6332"
  - family-names: Rabiser
    given-names: Rick
    orcid: "https://orcid.org/0000-0003-3862-1112"
title: ShuffleBench
repository-code: "https://github.com/dynatrace-research/ShuffleBench"
license: "Apache-2.0"
doi: "10.1145/3629526.3645036"
preferred-citation:
  type: conference-paper
  authors:
    - family-names: Henning
      given-names: "Sören"
      orcid: "https://orcid.org/0000-0001-6912-2549"
    - family-names: Vogel
      given-names: Adriano
      orcid: "https://orcid.org/0000-0003-3299-2641"
    - family-names: Leichtfried
      given-names: Michael
      orcid: "https://orcid.org/0000-0002-4415-6694"
    - family-names: Ertl
      given-names: Otmar
      orcid: "https://orcid.org/0000-0001-7322-6332"
    - family-names: Rabiser
      given-names: Rick
      orcid: "https://orcid.org/0000-0003-3862-1112"  
  conference:
    name: "15th ACM/SPEC International Conference on Performance Engineering (ICPE '24)"
    date-start: 2024-05-07
    date-end: 2024-05-11
  collection-title: "Proceedings of the 15th ACM/SPEC International Conference on Performance Engineering"
  title: "ShuffleBench: A Benchmark for Large-Scale Data Shuffling Operations with Distributed Stream Processing Frameworks"
  year: 2024
  doi: "10.1145/3629526.3645036"
  status: "in-press"

GitHub Events

Total
  • Issues event: 1
  • Watch event: 2
  • Delete event: 1
  • Issue comment event: 1
  • Push event: 5
  • Fork event: 1
Last Year
  • Issues event: 1
  • Watch event: 2
  • Delete event: 1
  • Issue comment event: 1
  • Push event: 5
  • Fork event: 1

Dependencies

.github/workflows/gradle.yml actions
  • actions/checkout v4 composite
  • actions/setup-java v3 composite
  • gradle/gradle-build-action v2 composite
shuffle-spark/Dockerfile docker
  • openjdk 11 build
build.gradle maven
commons/build.gradle maven
  • com.dynatrace.hash4j:hash4j 0.11.0 implementation
  • org.slf4j:slf4j-api 1.7.25 implementation
latency-exporter/build.gradle maven
  • io.micrometer:micrometer-registry-dynatrace latest.release implementation
  • io.micrometer:micrometer-registry-prometheus latest.release implementation
  • io.smallrye.config:smallrye-config 3.2.1 implementation
  • org.apache.kafka:kafka-clients 3.5.0 implementation
  • org.apache.logging.log4j:log4j-api 2.19.0 implementation
  • org.apache.logging.log4j:log4j-core 2.19.0 implementation
  • org.apache.logging.log4j:log4j-slf4j-impl 2.19.0 implementation
load-generator/build.gradle maven
  • com.dynatrace.hash4j:hash4j 0.11.0 implementation
  • io.smallrye.config:smallrye-config 3.2.1 implementation
  • org.apache.kafka:kafka-clients 3.5.0 implementation
  • org.apache.logging.log4j:log4j-api 2.19.0 implementation
  • org.apache.logging.log4j:log4j-core 2.19.0 implementation
  • org.apache.logging.log4j:log4j-slf4j-impl 2.19.0 implementation
shuffle-flink/build.gradle maven
  • org.apache.flink:flink-clients ${flinkVersion} implementation
  • org.apache.flink:flink-streaming-java ${flinkVersion} implementation
  • org.apache.logging.log4j:log4j-api 2.19.0 runtimeOnly
  • org.apache.logging.log4j:log4j-core 2.19.0 runtimeOnly
  • org.apache.logging.log4j:log4j-slf4j-impl 2.19.0 runtimeOnly
shuffle-hzcast/build.gradle maven
  • com.dynatrace.hash4j:hash4j 0.9.0 implementation
  • com.hazelcast.jet:hazelcast-jet-kafka 5.3.1 implementation
  • com.hazelcast:hazelcast 5.3.1 implementation
  • com.hazelcast:hazelcast-kubernetes 2.2.3 implementation
  • io.smallrye.config:smallrye-config 3.2.1 implementation
  • org.apache.logging.log4j:log4j-api 2.19.0 implementation
  • org.apache.logging.log4j:log4j-core 2.19.0 implementation
  • org.apache.logging.log4j:log4j-slf4j-impl 2.19.0 implementation
shuffle-kstreams/build.gradle maven
  • com.dynatrace.hash4j:hash4j 0.9.0 implementation
  • io.smallrye.config:smallrye-config 3.2.1 implementation
  • org.apache.kafka:kafka-streams 3.5.0 implementation
  • org.apache.logging.log4j:log4j-api 2.19.0 implementation
  • org.apache.logging.log4j:log4j-core 2.19.0 implementation
  • org.apache.logging.log4j:log4j-slf4j-impl 2.19.0 implementation
shuffle-spark/build.gradle maven
  • com.dynatrace.hash4j:hash4j 0.9.0 implementation
  • com.fasterxml.jackson.core:jackson-databind 2.14.3 implementation
  • com.typesafe:config 1.4.1 implementation
  • io.smallrye.config:smallrye-config 3.2.1 implementation
  • org.apache.kafka:kafka-clients 3.5.0 implementation
  • org.apache.logging.log4j:log4j-api 2.19.0 implementation
  • org.apache.logging.log4j:log4j-core 2.19.0 implementation
  • org.apache.logging.log4j:log4j-slf4j-impl 2.19.0 implementation
  • org.apache.spark:spark-core_2.12 ${sparkVersion} implementation
  • org.apache.spark:spark-sql-kafka-0-10_2.12 ${sparkVersion} implementation
  • org.apache.spark:spark-sql_2.12 ${sparkVersion} implementation
  • org.apache.spark:spark-streaming_2.12 ${sparkVersion} implementation