delta-io/delta

[Feature Request][Kernel] Make kernel benchmark configurable using command line arguments

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#5,420 opened on Oct 30, 2025

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delta-kernelenhancementgood first issue

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Description

Feature request

Which Delta project/connector is this regarding?

  • Spark
  • Standalone
  • Flink
  • Kernel
  • Other (fill in here)

Overview

Motivation

The kernel benchmarking framework currently hard codes benchmark parameters. There are multiple ways users may want to augment a benchmark run including:

  • Filtering benchmark specs by name
  • Configure the number of warmup iterations
  • Configure the number of measurement iterations
  • Configure the warmup time.

Further details

Create a command line argument parser that accepts the above options as configurable parameters. Use the current parameters as the defaults for the benchmark.

For filtering benchmark specs, perform a substring match over each variant's full name. --include-test read_metadata For all other paramaeters, simply take an integer --warum-iterations 10

You can find the relevant file in kernel/kernel-defaults/src/test/java/io/delta/kernel/defaults/benchmarks/WorkloadBenchmark.java`

Contributor guide

Research direction
Add a command line argument parser to WorkloadBenchmark.java to override default benchmark parameters like test filtering, warmup iterations, measurement iterations, and warmup time. Use the existing parameters as defaults.
Tech stack
java
Domain
backend
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
JavaCommand line argument parsing
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
75